XAO100970 IAEA-TECDOC-1203 Thermohydrauiic relationships for advanced water cooled reactors ffl INTERNATIONAL ATOMIC ENERGY AGENCY April 2001
XAO100970
IAEA-TECDOC-1203
Thermohydrauiic relationships foradvanced water cooled reactors
fflINTERNATIONAL ATOMIC ENERGY AGENCY
April 2001
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IAEA-TECDOC-1203
Thermohydraulic relationships foradvanced water cooled reactors
INTERNATIONAL ATOMIC ENERGY AGENCY
April 2001
The originating Section of this publication in the IAEA was:
Nuclear Power Technology Development SectionInternational Atomic Energy Agency
Wagramer Strasse 5P.O. Box 100
A-1400 Vienna, Austria
THERMOHYDRAULIC RELATIONSHIPS FOR ADVANCEDWATER COOLED REACTORS
IAEA, VIENNA, 2001IAEA-TECDOC-1203
ISSN 1011-4289
© IAEA, 2001
Printed by the IAEA in AustriaApril 2001
FOREWORD
This report was prepared in the context of the IAEA's Co-ordinated Research Project(CRP) on Thermohydraulic Relationships for Advanced Water Cooled Reactors, which wasstarted in 1995 with the overall goal of promoting information exchange and co-operation inestablishing a consistent set of thermohydraulic relationships which are appropriate for use inanalyzing the performance and safety of advanced water cooled reactors. For advanced watercooled reactors, some key thermohydraulic phenomena are critical heat flux (CHF) and postCHF heat transfer, pressure drop under low flow and low pressure conditions, flow and heattransport by natural circulation, condensation of steam in the presence of non-condensables,thermal stratification and mixing in large pools, gravity driven reflooding, and potential flowinstabilities.
Thirteen institutes co-operated in this CRP during the period from 1995 to 1999.
The IAEA acknowledges the strong efforts of the following persons in preparing thisreport: N. Aksan (Paul Scherrer Institute, Switzerland), F. D'Auria (University of Pisa, Italy),D.C. Groeneveld (AECL Research, Canada), P.L. Kirillov (Institute of Physics and PowerEngineering, Russian Federation) and D. Sana (Bhabha Atomic Research Centre, India). TheIAEA officers responsible for this publication were A. Badulescu and J. Cleveland of theDivision of Nuclear Power.
EDITORIAL NOTE
The use of particular designations of countries or territories does not imply any judgement by thepublisher, the IAEA, as to the legal status of such countries or territories, of their authorities andinstitutions or of the delimitation of their boundaries.
The mention of names of specific companies or products (whether or not indicated as registered) doesnot imply any intention to infringe proprietary rights, nor should it be construed as an endorsement orrecommendation on the part of the IAEA.
CONTENTS
CHAPTER 1. INTRODUCTION 1
1.1. Overview of advanced water cooled reactors 11.2. Background for the co-ordinated research project 41.3. Objectives 51.4. Participants 51.5. Summary of activities within the co-ordinated research project 61.6. Structure of this report 6
References to Chapter 1 6
CHAPTER 2. THERMOHYDRAULIC PHENOMENA OF INTEREST TO
ADVANCED WATER COOLED REACTORS 9
References to Chapter 2 13
CHAPTER 3. A GENERAL CHF PREDICTION METHOD FORADVANCED WATER COOLED REACTORS 15
Nomenclature 15
3.1. Introduction 163.2. CHF mechanisms 18
3.2.1. General 183.2.2. DNB (departure from nucleate boiling) 183.2.3. Helmholtz instability 193.2.4. Annular film dryout 193.2.5. Unstable or periodic dryout 203.2.6. Slow dryout 20
3.3. CHF database 203.3.1. General 203.3.2. Tube database 223.3.3. Bundle database 24
3.4. CHF prediction methodology 243.4.1. General 243.4.2. Analytical models 263.4.3. Empirical CHF prediction methods 263.4.4. Application to bundle geometries 28
3.5. Recommended CHF prediction method for advanced water-cooled reactors 303.5.1. Tubes 303.5.2. Rod bundles 313.5.3. Correction factors 31
3.6. Assessment of accuracy of the recommended prediction methods 373.6.1. CHF look up table assessment 373.6.2. Accuracy of bundle CHF prediction methods 373.6.3. Impact of accuracy of CHF model on cladding temperature prediction 39
3.7. CHF concerning accident conditions 393.7.1. General 393.7.2. Effect of the axial/radial node size 393.7.3. Transient effects on CHF 42
3.8. Recommendations and final remarks 42
References to Chapter 3 43
CHAPTER 4. GENERAL FILM BOILING HEAT TRANSFERPREDICTION METHODS FOR ADVANCEDWATER COOLED REACTORS 49
Nomenclature 49
4.1. Introduction 504.2. Description of post-CHF phenomena 52
4.2.1. General 524.2.2. Transition boiling 534.2.3. Minimum film boiling temperature 554.2.4. Flow film boiling 56
4.3. Film boiling data base 604.3.1. General 604.3.2. Tube and annuli 614.3.3. Bundle 61
4.4. Overview of film boiling prediction methods 614.4.1. General 614.4.2. Pool film boiling equations 664.4.3. Film boiling models 704.4.4. Flow film boiling correlations 754.4.5. Look-up tables for film boiling heat transfer in tubes 86
4.5. Recommended/most recent film boiling prediction methods 884.5.1. Pool film boiling 884.5.2. Flow film boiling 894.5.3. Radiation heat transfer in film boiling 904.5.4. Correlations for single phase heat transfer to superheated steam 914.5.5. Application to rod bundles 91
4.6. Application to film boiling prediction methods codes 934.6.1. General 93
4.7. Conclusions and final remarks 94
References to Chapter 4 95
CHAPTER 5. PRESSURE DROP RELATIONSHIPS 109
Nomenclature 1095.1. Introduction 1105.2. Survey of situations where pressure drop relationships are important I l l
5.2.1. Distinction between core and system approach 1135.2.2. Geometric conditions of interest 113
5.3. Correlations for design and analysis 1155.3.1. Components of pressure drop 1155.3.2. Configurations 1175.3.3. Friction pressure drop correlations 1185.3.4. Local pressure drop 1285.3.5. Importance of void fraction correlations 1325.3.6. Review of previous assessments 134
5.3.7. Proposed assessment procedure for diabatic vertical flow 1425.3.8. Results of assessment 142
5.4. Comparisons of correlations as they stand in codes 1465.4.1. Physical models in system codes 147
5.5. Final remarks 149
References to Chapter 5 151
CHAPTER 6. REMARKS AND FUTURE NEEDS 163References to Chapter 6 165
APPENDICES I-XIX
APPENDIX I: ACTIVITIES CONTRIBUTED TO THE CRP BY THERESEARCH GROUPS AT THE PARTICIPATING INSTITUTES.... 169
APPENDIX II: THE 1995 LOOK-UP TABLE FORCRITICAL HEAT FLUX IN TUBES 175
APPENDIX III: CHF PREDICTION FOR WWER-TYPEBUNDLE GEOMETRIES 183
APPENDIX IV: AECL LOOK-UP TABLE FORFULLY DEVELOPED FILM-BOILINGHEAT-TRANSFER COEFFICIENTS (kW m'2 K"1) 190
APPENDIX V: IPPE TABLE OF HEAT TRANSFER COEFFICIENTS FORFILM BOILING AND SUPERHEATED STEAM FOR TUBES 241
APPENDIX VI: CIAE METHOD FOR DETERMININGFILMBOILING HEAT TRANSFER 271
APPENDIX VII: TWO-PHASE VISCOSITY MODELS FOR USEIN THE HOMOGENEOUS MODEL FORTWO-PHASE PRESSURE DROP 273
APPENDIX VIII: TWO-PHASE PRESSURE DROP CORRELATIONSBASED ON THE MULTIPLIER CONCEPT 274
APPENDIX IX: DIRECT EMPIRICAL TWO-PHASEPRESSURE DROP CORRELATIONS 281
APPENDIX X: FLOW PATTERN SPECIFIC PRESSURE DROPCORRELATIONS FOR HORIZONTAL FLOW 283
APPENDIX XI: FLOW PATTERN SPECIFIC PRESSURE DROP FORVERTICAL UPWARD FLOW 288
APPENDIX XII: INTERFACIAL FRICTION MODELSGIVEN BY SOLBRIG (1986) 291
APPENDIX XIII: SLIP RATIO MODELS FOR CALCULATION OFVOID FRACTION 294
APPENDIX XIV: Kp MODELS FOR THE CALCULATION OFVOID FRACTION 295
APPENDIX XV: DRIFT FLUX MODELS FOR THE CALCULATION OFVOID FRACTION 296
APPENDIX XVI: MISCELLANEOUS EMPIRICAL CORRELATIONS FOR
VOID FRACTION 304
APPENDIX XVII: COMPILATION OF DATA 305
APPENDIX XVIII: DETAILED RESULTS OF ASSESSMENT OFVOID FRACTION CORRELATIONS 310
APPENDIX XIX: DETAILED RESULTS OF ASSESSMENT OFFLOW PATTERN DATA 319
ANNEX A: INTERNATIONAL NUCLEAR SAFETY CENTER DATABASE 331
ANNEX B: PREPARED METHODOLOGY TO SELECT RANGES OFTHERMOHYDRAULIC PARAMETERS 335
CONTRIBUTORS TO DRAFTING AND REVIEW 343
Chapter 1
INTRODUCTION
1.1. OVERVIEW OF ADVANCED WATER COOLED REACTORS
In the second half of the 20th century nuclear power has evolved from the research anddevelopment environment to an industry that supplies 17% of the world's electricity. In these50 years of nuclear development a great deal has been achieved and many lessons have beenlearned. At the end of 1998, according to data reported in the Power Reactor InformationSystem, PRIS, of the IAEA, there were 434 nuclear power plants in operation and 34 underconstruction. Over eight thousand five hundred reactor-years of operating experience hadbeen accumulated.
Due to further industrialization, economic development and projected increases in theworld's population, global energy consumption will surely continue to increase into the 21stcentury. Based on IAEA's review of nuclear power programmes [IAEA (1998)] and plans ofMember States, several countries, especially in the Far East, are planning to expand theirnuclear power capacity considerably in the next 15-20 years.
The contribution of nuclear energy to near and medium term energy needs depends onseveral key issues. The degree of global commitment to sustainable energy strategies andrecognition of the role of nuclear energy in sustainable strategies will impact its future use.Technological maturity, economic competitiveness and financing arrangements for new plantsare key factors in decision making. Public perception of energy options and relatedenvironmental issues as well as public information and education will also play a key role inthe introduction of evolutionary designs. Continued vigilance in nuclear power plantoperation, and enhancement of safety culture and international co-operation are highlyimportant in preserving the potential of nuclear power to contribute to future energystrategies.
To assure that nuclear power remains a viable option in meeting energy demands in thenear and medium terms, new reactor designs, aimed at achieving certain improvements overexisting designs are being developed in a number of countries. Common goals for these newdesigns are high availability, user-friendly features, competitive economics and compliancewith internationally recognized safety objectives.
The early development of nuclear power was to a large extent conducted on a nationalbasis. However, for advanced reactors, international co-operation is playing an important role,and the IAEA promotes international co-operation in advanced reactor development andapplication. Various organizations are involved, including governments, industries, utilities,universities, national laboratories, and research institutes.
Worldwide there is considerable experience in nuclear power technology and especiallyin light water reactor (LWR) and heavy water (HWR) technology. Of the operating plants,346 are LWRs totaling 306 GW(e) and 31 are HWRs totaling 15 GW(e). The experience andlessons learned from these plants are being incorporated into new water cooled reactordesigns. Utility requirements documents have been formulated to guide these activities byincorporating this experience with the aim of reducing costs and licensing uncertainties byestablishing a technical foundation for the new designs.
The full spectrum of advanced water cooled reactor designs or concepts covers differenttypes of designs — evolutionary ones, as well as innovative designs that require substantialdevelopment efforts. A natural dividing line between these two categories arises from thenecessity of having to build and operate a prototype or demonstration plant to bring a conceptwith much innovation to commercial maturity, since such a plant represents the major part ofthe resources needed. Designs in both categories need engineering, and may also needresearch and development (R&D) and confirmatory testing prior to freezing the design ofeither the first plant of a given line in the evolutionary category, or of the prototype and/ordemonstration plant for the second category. The amount of such R&D and confirmatorytesting depends on the degree of both the innovation to be introduced and the related workalready done, or the experience that can be built upon. This is particularly true for designs inthe second category where it is entirely possible that all a concept needs is a demonstrationplant, if development and confirmatory testing is essentially completed. At the other extreme,R&D, feasibility tests, confirmatory testing, and a prototype and/or demonstration plant areneeded in addition to engineering. Different tasks have to be accomplished and theircorresponding costs in qualitative terms are a function of the degree of departure fromexisting designs. In particular, a step increase in cost arises from the need to build a reactor aspart of the development programme (see Figure 1.1).
Advanced designDifferent types of new nuclear plants are being developedtoday that are generally called advanced reactors. Ingeneral, an advanced plant design is a design of currentinterest for which improvement over its predecessors and/orexisting designs is expected. Advanced designs consist ofevolutionary designs and designs requiring substantialdevelopment efforts. The latter can range from moderatemodifications of existing designs to entirely new designconcepts. They differ from evolutionary designs in that aprototype or a demonstration plant is required, or thatinsufficient work has been done to establish whether such aplant is required.
Evolutionary designAn evolutionary design is an advanced design that achievesimprovements over existing designs through small tomoderate modifications, with a strong emphasis onmaintaining proven design features to minimisetechnological risks. The development of an evolutionarydesign requires at most engineering and confirmatorytesting.
Innovative designAn innovative design is an advanced design whichincorporates radical conceptual changes in designapproaches or system configuration in comparison withexisting practice. Substantial R&D, feasibility tests, and aprototype or demonstration plant are probably required.
Advanced Designs
-.tEvolutionary designs Designs requiring substantial development
o i Engineering i
and/orDemonstration plant
+Confirmatory testing
+Engineering
"Substantial R&D~
Departure From Existing Designs(A prototype Is normally a scaled down unit, whereas a demonstration plant is a more
substantial plant that can be as large as fu8 size.)
Figure 1.1. Efforts and development costs for advanced designs versus departure fromexisting designs (Terms are excerpted from IAEA-TECDOC-936).
Large water cooled reactors with power outputs of 1300 MW(e) and above, which possessinherent safety characteristics (e.g. negative Doppler and moderator temperature coefficients,and negative moderator void coefficient) and incorporate proven, active engineered systemsto accomplish safety functions are being developed. Other designs with power outputs from,for example, 220 MW(e) up to about 1300 MW(e) which also possess inherent safetycharacteristics and which place more emphasis on utilization of passive safety systems arealso being developed. Passive safety systems are based on natural forces such as convectionand gravity, making safety functions less dependent on active systems and components likepumps and diesel generators. Table 1.1 presents a list of advanced water cooled reactors underdevelopment1.
TABLE 1.1. SURVEY OF ADVANCED WATER COOLED REACTOR DESIGNSUNDER DEVELOPMENT
Evolutionary,large-sizeplants
Evolutionary,medium-sizeplants
Designconceptsrequiringsubstantialdevelopment
Name
APWRABWR
BWR90EP10003
EPRESBWR2
KNGR
Sizewell CSystem 80+SWR 1000WWER-1000(V-392)
CP-1300
CANDU9AC-600
AP-600HSBWRMS-600WWER-640 (V-407)CANDU6AHWR4
ISISJPSR
PIUSSPWR
VPBER-600
Type
PWRBWR
BWRPWRPWRBWRPWR
PWRPWRBWRPWR
PWR
HWRPWR
PWRBWRPWRPWRHWRHWR
PWRPWR
PWRPWR
PWR
Power,MW(e)
13001300
12001000154511901350
1250135010001000
1300
900-1300600
600600600640670220
300630
650600
630
Supplier/designer
Westinghouse, USA& Mitsubishi, JapanGeneral Electric, USA in co-operationwith Hitachi and Toshiba, JapanABB Atom, SwedenWestinghouse, USA, Genesi, Italy, EURNuclear Power International (NPI)General Electric, USAKorea Electric Power Corp., Republic ofKoreaNational Nuclear Corp. (NNC), UKABB Combustion Engineering, USASiemens, GermanyAtomenergoprojekt/Gidropress, RussiaKorea Advanced Institute of Science andTechnology, Republic of Korea
Atomic Energy of Canada, Ltd
China National Nuclear Corp. (CNNC)ChinaWestinghouse, USAHitachi Ltd., JapanMitsubishi, JapanAtomenergoprojekt/Gidropress, RussiaAtomic Energy of Canada, Ltd.Bhabha Atomic Research Centre, India
Ansaldo Spa., ItalyJapan Atomic Energy Research Institute(JAERI), JapanABB Atom, SwedenJapan Atomic Energy Research Institute(JAERI), JapanOKBM, Russia
Design status1
Conceptual designDetailed design
Detailed designBasic designBasic designPreliminary designBasic design
Conceptual designDetailed designConceptual designBasic designConceptual design
Detailed design
Conceptual design
Detailed designBasic designDetailed designDetailed designDetailed designBasic design
Conceptual designDesign study
Basic designConceptual design
Conceptual design
1 The design status classification refers to the IAEA (1997a), Terms for Describing New, Advanced NPPs.2 ESBWR (and JSBWR in Japan) is an enlarged version of GE's SBWR design.3 EP 1000 (in Europe) represents an enlarged version of AP-600.4 Boiling light water cooled, heavy water moderated.
1 For detailed descriptions of these designs see IAEA (1997c and 1997d).
1.2. BACKGROUND FOR THE CO-ORDINATED RESEARCH PROJECT
The nuclear industry and regulatory bodies have developed thermohydraulics codes forpredicting the performance of water cooled reactors under normal, transient and accidentconditions. These codes are used for plant design, evaluation of safety margin, establishmentof emergency procedures and operator training. These codes essentially solve mass,momentum and energy balance equations and include detailed representations ofthermohydraulic relationships and thermophysical properties.
Extensive validation programmes have been carried out to demonstrate the applicabilityof the codes to plants, considering the stated objectives. These have been conducted innational and international contexts at four levels, involving the use of:
— fundamental experiments;— separate effects test facilities (SETF);— integral test facilities (ITF);— plant data.
Experimental data have been extensively compared with code predictions includingInternational Standard Problems of the OECD Committee on the Safety of NuclearInstallations (CSNI) and IAEA standard problem exercises.
The present situation in relation to the development, validation and use of system codes,can be summarized as follows:
— the codes have reached an acceptable degree of maturity though the reliable applicationis still limited to the validation domain;
— the use of qualified codes is more and more requested for assessing the safety ofexisting reactors, and for designing advanced reactors;
— code validation criteria and detailed qualification programmes have been established[OECD-NEA-CSNI (1989, 1987, 1994 and 1996b)];
— methodologies to evaluate the 'uncertainty' (i.e. the error) in the prediction of nuclearplant behaviour by system codes have been proposed and are being tested;
— problems like user effect (i.e. influence of code users on the predictions) [OECD-NEA-CSNI (1995)] nodalization qualification, quantification of code accuracy (i.e. ranking ofthe error in the comparison between measured and calculated trend), have been dealtwith and experience is currently available;
— relevant activities have been recently completed that are coordinated by the OECDCommittee on the Safety of Nuclear Installations (CSNI). These include:
• the state of the art report on themalhydraulics of emergency core cooling [OECD-NEA-CSNI (1989)];
• the set-up of the ITF code validation matrix [OECD-NEA-CSNI (1987, 1992 and1996b)];
• the set-up of the SETF code validation matrix including the identification and thedefinition of the phenomena that must be predicted by codes [OECD-NEA-CSNI(1994)];
• the characterization of relevant plant status;• the lessons learned from the execution of the International Standard Problem
exercises [OECD-NEA-CSNI (1996a and 1996b)].
Clearly the performance of these codes is dependent on the accuracy and consistency ofthe representations of the thermohydraulic relationships and thermophysical properties datacontained in the codes.
On the recommendation of the IAEA's International Working Group on AdvancedTechnologies for Water Cooled Reactors (IWG-ATWR) a Coordinated Research Project(CRP) to establish a thermophysical properties database for light and heavy water reactormaterials was organized with the objective to collect and systematize a thermophysicalproperties database for reactor materials under normal operating, transient and accidentconditions. This CRP has been completed with the publication of IAEA (1997b). Also, on therecommendation of the IWG-ATWR, the CRP on Thermohydraulic Relationships forAdvanced Water Cooled Reactors began in January 1995 with a duration of 4-years.
1.3. OBJECTIVES
The objectives of the CRP are (i) to systematically list the requirements forthermohydraulic relationships in support of advanced water cooled reactors during normal andaccident conditions, and provide details of their database where possible and (ii) torecommend and document a consistent set of thermohydraulic relationships for selectedthermohydraulic phenomena such as CHF and post-CHF heat transfer, pressure drop, andpassive cooling for advanced water cooled reactors.
~"~" Key collaborative activities of the participating institutes within the CRP include:
— preparation of internationally peer reviewed and accepted prediction methods for CHF,post CHF heat transfer and pressure drop;
— establishment of a base of non-proprietary data and prediction methods available on theInternet.
1.4. PARTICIPANTS
The participating institutes and chief scientific investigators are:
Atomic Energy of Canada Ltd (AECL), Canada (D.C. Groeneveld)China Institute of Atomic Energy (CIAE), China (Hanming Xu and Yuzhou Chen)Nuclear Research Institute (NRI), Czech Republic (J. Macek)Forschungszentrum Karlsruhe (FZK), Germany (F. J. Erbacher and X. Cheng)Bhabha Atomic Research Centre (BARC), Mumbai, India (D. Saha)University of Pisa, Italy (F. D'Auria)Ente per le Nuove tecnologie, l'Energia e l'Ambiente (ENEA), Italy (S. Cevolani)Korea Atomic Energy Research Institute (KAERI), Republic of Korea (M.K. Chung)Korea Advanced Institute of Science and Technology (KAIST), Republic of Korea (S.H.Chang)Institute of Physics and Power Engineering (IPPE), Russia (P. Kirillov)Paul Scherrer Institute (PSI), Switzerland (N. Aksan)Middle East Technical University, Turkey (O. Yesin)Argonne National Laboratory, United States of America(J. Roglans-Ribas)
The programme has been co-ordinated through annual meetings of the chief scientificinvestigators from the participating institutes.
1.5. SUMMARY OF ACTIVITIES WITHIN THE CO-ORDINATED RESEARCHPROJECT
Brief summaries of CRP related activities contributed to the CRP by the research groupsat the participating institutes are given in Appendix I.
1.6. STRUCTURE OF THIS REPORT
This chapter provides a brief discussion of the background for this CRP, the CRPobjectives and lists the participating institutes. Chapter 2 provides a summary of importantand relevant thermohydraulic phenomena for advanced water cooled reactors on the basis ofprevious work by the international community. Chapter 3 provides details of the database forcritical heat flux, and recommends a prediction method which has been established throughinternational co-operation and assessed within this CRP. Chapter 4 provides details of thedatabase for film boiling heat transfer, and presents three methods for predicting film boilingheat transfer coefficients developed by institutes participating in this CRP. Chapter 5compiles a range of pressure drop correlations, and reviews assessments of these relations andthe resulting recommendations. Chapter 6 provides general remarks and conclusions, andcomments on future research needs in thermohydraulics of advanced water cooled reactors.
Nomenclature is provided at the beginning of each chapter for which it is necessary, andreferences are provided at the end of each chapter. Chapter appendices present relevantinformation in more detail. The report contains two annexes. Annex A identifies the contentsof a base of thermohydraulics data which has been contributed by institutes participating inthe CRP and made openly available on the internet site which is maintained by InternationalNuclear Safety Center at Argonne National Laboratory. Annex B discusses a methodology toselect the range of interest for parameters affecting CHF, film boiling and pressure drop inadvanced water cooled reactors.
REFERENCES TO CHAPTER 1
IAEA, 1998, Energy, Electricity and Nuclear Power Estimates for the Period up to 2020,Reference Data Series No. 1, Vienna.
IAEA, 1997a, Terms for Describing New, Advanced Nuclear Power Plants, IAEA-TECDOC-936, Vienna.
IAEA, 1997b, Thermophysical Properties of Materials for Water Cooled Reactors, IAEA-TECDOC-949, Vienna.
IAEA, 1997c, Status of Advanced Light Water Cooled Reactor Designs: 1996, IAEA-TECDOC-968, Vienna.
IAEA, 1997d, Advances in Heavy Water Reactor Technology, IAEA-TECDOC-984, Vienna.
OECD-NEA-CSNI, 1987, CSNI Code Validation Matrix of Thermal-Hydraulic Codes forLWR LOCA and Transients, Report No. 132, Paris.
OECD-NEA-CSNI, 1989, Thermohydraulics of Emergency Core Cooling in Light WaterReactors, a State-of-the-Art Report, (SOAR) by a Group of Experts of the NEA Committeeon the Safety of Nuclear Installations, Report No. 161, Paris.
OECD-NEA-CSNI, 1992, Wolfert, K., Glaeser, H., Aksan, N., CSNI validation matrix forPWR and BWR Codes, RL(92)12 (Proc. CSNI-Specialists Mtg on Transient Two-Phase flow,Aix-en-Provence), M. Reocreux, M.C. Rubinstein, eds.
OECD-NEA-CSNI, 1994, Aksan N., et al., Separate Effects Test Matrix for Thermal-Hydraulic Code Validation, R(93)14, Part 1 and Part 2, Volume I: PhenomenaCharacterization and Selection of Facilities and Tests, Volume 2: Facility and ExperimentsCharacteristics.
OECDNEA-CSNI, 1995, Stadtke H., User on the transient system code calculations, R(94)35.
OECD-NEA-CSNI, 1996a, Annunziato A., et al., CSNI Integral Test Facility ValidationMatrix for the Assessment of Thermal-Hydraulic Codes for LWR LOCA and Transients,R(96)17.
OECD-NEA-CSNI, 1996b, Lessons Learned from OECD/CSNI ISP on Small Break LOCA,R(96)20, OECD/GD(97)10.
Chapter 2
THERMOHYDRAULIC PHENOMENA OF INTEREST TO ADVANCEDWATER COOLED REACTORS
This chapter will provide a short summary on the important and relevant thermal-hydraulic phenomena for advanced water cooled reactor designs in addition to the relevantthermal-hydraulic phenomena identified for the current generation of light water reactors(LWRs). The purpose of these relevant phenomena lists is that they can provide someguidance in development of research plans for considering further code development andassessment needs, and for the planning of experimental programs.
All ALWRs incorporate significant design simplifications, increased design margins,and various technical and operational procedure improvements, including better fuelperformance and higher burnup, a better man-machine interface using computers andimproved information displays, greater plant standardization, improved constructability andmaintainability, and better operator qualification and simulator training.
Design features proposed for the ALWRs include in some cases the use of passive,gravity-fed water supplies for emergency core cooling and natural circulation decay heatremoval. This is the case, for example, for the AP600 and ESBWR. Further, naturalcirculation cooling is used for the ESBWR core for all conditions. Both plants also employautomatic depressurization systems (ADSs), the operation of which are essential during arange of accidents to allow adequate emergency core coolant injection from the lower pressurepassive safety systems. The low flow regimes associated with these designs will involvenatural circulation flow paths not typical of current LWRs. These ALWR designs emphasizeenhanced safety by means of improved safety system reliability and performance. Theseobjectives are achieved by means of safety system simplification and reliance on immutablenatural forces for system operation. Simulating the performance of these safety systems iscentral to analytical safety evaluation of advanced LWRs with passive safety systems.
Specifically, the passive safety principles of the next generation ALWR designs include:
(1) low volumetric heat generation rates,(2) reliance solely on natural forces, such as gravity and gas pressurization, for safety
system operation,(3) dependence on natural phenomena, such as natural convection and condensation, for
safety system performance.
The engineered safety features which incorporate these passive safety principles achieveincreased reliability by means of system redundancy, minimization of system components,non-reliance on external power sources, and integral long term decay heat removal andcontainment cooling systems. In the design of the current generation of operating reactors,redundancy and independence have been designed into the protection systems so that nosingle failure results in loss of the protection function. Since the new ALWR designsincorporate significant changes from the familiar current LWR designs and place higherreliance on individual systems, a thorough understanding of these designs is needed withrespect to system interactions. These interactions may occur between the passive safetysystems e.g. the core makeup tanks and accumulators in the AP600, and the ADS system and
isolation condensers in the ESBWR. In addition, there is a close coupling in both plantdesigns between the reactor coolant system and the containment during an accident.
It can also be noted that in order to fully profit from the safety benefits due to theintroduction of the passive safety systems, the behaviour of plants in which engineering safetyfeatures involving active components have been replaced with completely passive devicesmust be carefully studied to ensure the adequacy of the new design concepts for a widespectrum of accident conditions. In fact, choice of passivity is an advantage in reducing theprobability of the wrong operator interventions, especially in the short-term period after anaccident, although passive systems require more sophisticated modelling techniques toascertain that the natural driving forces that come into play can adequately accomplish theintended safety functions. Hence, there is also the need for an in-depth study of the basicphenomena concerning the design of ALWRs which make use of passive safety features.
Thermalhydraulic phenomena relevant to the evolutionary type ALWRs can beconsidered the same as those valid for the current generation LWRs. A suitable review ofapplicable phenomena can be found in [OECD-NE-CSNI (1987, 1989, 1994 and 1996)] and[NUREG (1987)]. For completeness, the list is reported in Table 2.1. A limited specificresearch activity in this area appears necessary, if one excludes new domains like AccidentManagement and special topics like instability in boiling channels where the interest iscommon to the present generation reactors.
In the case of advanced cooled reactors the foreseeable relevant thermalhydraulicphenomena can be grouped into two categories [see OECD-NEA-CSNI (1996)]:
a) phenomena that are relevant also to the present generation reactors (Table 2.1)b) new kinds of phenomena and/or scenarios.
For the category a) the same considerations apply as for the evolutionary ALWRs andthe phenomena of concern are therefore well documented in [OECD-NEA-CSNI (1987 and1989)] and [NUREG (1987)]. However, it has to be noted that significance of variousphenomena may be different for the passive and advanced reactors. Nevertheless, it isbelieved that the data base, understanding and modelling capabilities acquired for the currentreactors are adequate for phenomena in category a.
Phenomena of the category b can be subdivided into three classes:
bl) phenomena related to the containment processes and interactions with the reactorcoolant system
b2) low pressure phenomenab3) phenomena related specifically to new components, systems or reactor configurations
In current generation LWRs the thermalhydraulic behaviour of the containment systemand of the primary system are studied separately. This is not any more possible in most of thenew design concepts; suitable tools must be developed to predict the performance of theintegrated system.
A speciality common to almost all the advanced design reactors is the presence ofdevices that depressurize the primary loop essentially to allow the exploitation of largeamount of liquid at atmospheric pressure and to minimize the risk of high pressure core melt.
10
TABLE 2.1. RELEVANT THERMALHYDRAULIC PHENOMENA IDENTIFED FOR THECURRENT GENERATION REACTORS*0
1
2
345
6
7
g
9
10
11
12
13141516171819202122232425
BASIC PHENOMENA
CRITICAL FLOW
PHASE SEPARATION/VERTICAL FLOW WITH AND WITHOUTMIXTURE LEVEL
STRATIFICATION IN HORIZONTAL FLOWPHASE SEPARATION AT BRANCHESENTRAINMENT/DEENTRAINMENT
LIQUID-VAPOUR MIXING WITHCONDENSATION
CONDENSATION IN STRATIFIEDCONDITIONS
SPRAY EFFECTS
COUNTERCURRENT FLOW/COUNTERCURRENT FLOW LIMITATION
GLOBAL MULTIDIMENSIONALFLUID TEMPERATURE, VOIDAND FLOW DISTRIBUTION
HEAT TRANSFER: NATURAL OR FORCED CONVECTIONSUBCOOLED/NUCLEATE BOILINGDNB/DRYOUTPOST CRITICAL HEAT FLUXRADIATIONCONDENSATION
QUENCH FRONT PROPAGATION/REWET
LOWER PLENUM FLASHINGGUIDE TUBE FLASHING (BWR)ONE AND TWO PHASE IMPELLER-PUMP BEHAVIOURONE AND TWO PHASE JET-PUMP BEHAVIOUR (BWR)SEPARATOR BEHAVIOURSTEAM DRYER BEHAVIOURACCUMULATOR BEHAVIOURLOOP SEAL FILLING AND CLEARANCE (PWR)ECC BYPASS/DOWNCOMER PENETRATIONPARALLEL CHANNEL INSTABILITIES (BWR)BORON MIXING AND TRANSPORTNONCONDENSABLE GAS EFFECT (PWR)LOWER PLENUM ENTRAINMENT
1234567g9123
123
11123456
1234561234
123
123456
1234123456
12
Evaporation due to DepressurisationEvaporation due to Heat InputCondensation due to PressurisationCondensation due to Heat RemovalInterfacial Friction in Vertical FlowInterfacial Friction in Horizontal FlowWall to Fluid FrictionPressure Drops at Geometric DiscontinuitiesPressure Wave PropagationBreaksValvesPipes
Pipes/PlenaCoreDowncomer
PipesBranchesCoreUpper PlenumDowncomerSteam Generator TubeSteam Generator Mixing Chamber (PWR)Hot Leg with ECCI (PWR)
CoreDowncomerUpper PlenumLower PlenumSteam Generator Mixing Chamber (PWR)ECCI in Hot and Cold Leg (PWR)Pressuriser (PWR)Steam Generator Primary Side (PWR)Steam Generator Secondary Side (PWR)Horizontal Pipes
Core (BWR)Pressuriser (PWR)Once-Through Steam Generator Secondary Side (PWR)
Upper Tie PlateChannel Inlet Orifices (BWR)Hot and Cold LegSteam Generator Tube (PWR)DowncomerSurgeline (PWR)
Upper PlenumCoreDowncomerSteam Generator Secondary SideCore, Steam Generator, StructuresCore, Steam Generator, StructuresCore, Steam Generator, StrucutresCore, Steam Generator, StrucutresCoreSteam Generator, Structures
Fuel RodsChannel Walls and Water Rods (BWR)
* This table is applicable to LWRs and is expected to be applicable to WWERs as well.
11
TABLE 2.2. RELEVANT THERMALHYDRAULIC PHENOMENA OF INTEREST IN THEADVANCED WATER COOLED DESIGN REACTORS
bl. Phenomena occurring due to the interaction between primary system and containment
1. Behaviour of large pools ofliquid:
2. Tracking of non-condensibles (essentiallyH2, N2, air):
3. Condensation on thecontainment structures:
4. Behaviour of containmentemergency systems (PCCS,external air cooling, etc.):
5. Thermofluiddynamics andpressure drops in variousgeometrical configurations:
- thermal stratification- natural/forced convection and circulation- steam condensation (e.g. chugging, etc.)- heat and mass transfer at the upper interface (e.g.
vaporization)- liquid draining from small openings (steam and gas
transport)
- effect on mixture to wall heat transfer coeficient- mixing with liquid phase- mixing with steam phase- stratification in large volumes at very low velocities
- coupling with conduction in larger structures
- interaction with primary cooling loops
3-D large flow pths e.g. around open doors and stair wells,connection of big pipes with pools, etc.gasliquid phase separation at low Re and in laminar flowlocal pressure drops
b2. Phenomena occurring at atmospheric pressure
6. Natural circulation:
7. Steam liquid interaction:
8. Gravity driven reflood:
9. Liquid temperaturestratification:
interaction among parallel circulation loops inside andoutside the vesselinfluence of non-condensables
direct condensationpressure waves due to condensation
heat transfer coefficientspressure rise due to vaporizationconsideration of a closed loop
lower plenum of vesseldowncomer of vesselhorizontal/vertical piping
b3. Phenomena originated by the presence of new components and systems or special reactorconfigurations
10. Behaviour of density locks: -
11. Behaviour of check valves: -
12. Critical and supercritical -flow in discharge pipes and -valves: _
13. Behaviour of Isolation -Condenser
14. Stratification of boron: -
stability of the single interface (temperature and densitydistribution)interaction between two density locks
opening/closure dynamicspartial/total failure
shock wavessupercritical flow in long pipesbehaviour of multiple critical section
low pressure phenomena
interaction between chemical and thermohydraulic problemstime delay for the boron to become effective in the core
12
In this case, the phenomena may be similar (or the same) as those reported for currentgeneration LWRs (Table 2.1) but the range of parameters and their safety relevance can bemuch different.
hi addition to the concerns specific to light-water-cooled reactors, the followingconcerns are specific to HWRs:
I. Thermalhydraulics related to short fuel bundles located in long HWR-type horizontalchannels, and on-line fuelling,
II. Thermalhydraulics related to radial and axial pressure-tube creep.Finally, the presence of new systems or components and some geometric specialities ofadvanced design reactors require the evaluation of additional scenarios andphenomena.
A list of identified phenomena belonging to subclasses bl, b2 and b3 is given inTable 2.2.
REFERENCES TO CHAPTER 2
OECD-NEA-CSNI, 1987, CSNI Code validation Matrix of Thermal-Hydraulic Codes forLWR LOCA and Transients, Rep. No. 132, Paris, France.
OECD-NEA CSNI, 1989, Thermohydraulicsof Emergency Core Cooling in Light WaterReactors, a State-of-the-Art Report, (SOAR) by a Group of Experts of the NEA Committee onthe Safety of Nuclear Installations, Rep. No. 161, Paris.
OECD-NEA-CSNI, 1994, Aksan, N., D'Auria, F., Glaeser, H., Pochard, R., Richards, C ,Sjoberg, A., Separate Effects Test Matrix for Thermal-Hydraulic Code Validation, R(93)14,Vol. I: Phenomena Characterization and Selection of Facilities and Tests; Vol. 2: Facility andExperiments Characteristics.
OECD-NEA-CSNI, 1996, Aksan, N., D'Auria, F., Relevant Thermalhydraulic Aspects ofAdvanced Reactor Design, CSNI Status Report OCDE/GD(97)8, Paris.
NUREG, 1987, Compendium of ECCS Research for Realistic LOCA Analysis, USNRC Rep.1230, Washington, DC.
13
Chapter 3
A GENERAL CHF PREDICTION METHOD FOR ADVANCEDWATER COOLED REACTORS
NOMENCLATURE
cCHFCpDe, Dhy
DheDdEgGHhK,FLsp
LPPqT
uX
z
ConstantCritical heat fluxSpecific heatHydraulic equivalent diameterHeated equivalent diameterTube inside diameterFuel element diameterEntrainment rateAcceleration due to gravityMass fluxEnthalpyHeat transfer coefficient kCorrection factorDistance to upstream spacer planeHeated lengthPressureElement pitchSurface heat fluxTemperatureVelocityQualityAxial co-ordinate
-kW/m2
kJ/(kg °Cmmmmkg/(m2s)m/s2
kg/(m2s)kJ/kgW/(m2 °C-mmkPamkW/m2
°Cm/s-m
GREEK SYMBOLS
a8
<f>XPayAHAXAT
e
Void fractionInter element gapSurface heat fluxLatent heat of evaporationDensitySurface tensionDimensionless mass fluxLocal subcooling, hs - hBundle quality imbalanceLocal subcooling, Ts - TAngle
SUBSCRIPTS
aavgbBLA
Actual valueAverage valueBubble, bulk, boilingBoiling length average
-mkW/m2
kJ/kgkg/m3
N/m-
kJ/kg-°Cdegrees
15
cCHFDOffgh,HhorngI, in1mmax.minnuP/B0
radssubUV
Critical, convectionCritical heat fluxDryoutSaturated liquid valueDifference between saturated vapour and saturated liquid valueHeatedHomogeneousSaturated vapourInside, inletLiquidMaximumMaximum
MinimumNon-uniform AFDPool boilingOutside, outletRadiationSaturation valueSubcoolingUniform (AFD)Vapour
ABBREVIATIONS
AFDBLACHF
Axial flux distributionBoiling length averageCritical heat flux
c/s Cross sectionDNBDOFBPDORFD
Departure from nucleate boilingDryoutFilm boilingPost-dryoutRadial flux distribution
3.1. INTRODUCTION
The objective of this chapter is to recommend a validated CHF prediction methodsuitable for the assessment of critical power at both normal operating conditions and accidentconditions in Advanced Water Cooled Reactors (AWCRs). This method can be implementedinto systems codes such as RELAP, CATHARE, CATHENA as well as subchannel codessuch as COBRA, ASSERT and ANTEO. The requirement of this prediction method has beendiscussed in more detail in previous CRP RCM meetings and expert meetings.
The two main applications for CHF predictions are:
(i) to set the operating power with a comfortable margin to avoid CHF occurrence.This margin to CHF can be expressed in terms of Minimum Critical Heat FluxRatio (MCHFR, ratio of CHF to local heat flux for the same pressure, mass fluxand quality), Minimum Critical Heat Flux Power Ratio (MCHFPR, the ratio ofpower at initial CHF occurrence to the operating power for the same pressure mass
16
flux and inlet temperature), or Minimum Critical Power Ratio (MCPR, the ratio ofreactor or fuel channel power at initial dryout occurrence to normal operatingpower for the same system, pressure and inlet temperature); the definition of theseratios is illustrated in Fig. 3.1. A detailed discussion has been provided byGroeneveld (1996). Most CHF prediction methods address this concern; theseprediction methods provide best-estimate values of the initial CHF occurrence in areactor core or fuel bundle.
q, CHF
NOP = fq.Phdl
MCHFR = CHF1/q1
Margin to CHF
CHF = f(X)
(a) Schematic representation of definition of MCHFR
q.CHF
N O P = Jq aPhdl
CP, = J<fc Ph dl
CHFPR = CP,/NOP
Xin X, X c X
( b) Schematic representation of definition of MCHFPR
FlowNOP NOP
Hydraulic curve^ .
Reactor flowat NOP
Reactor flowat CHF
1111
CHF, v(constant G)\
VX/1\
.1 \& 1 1| Margin to CHF |
J^- CP=f(G)(transformed fromCHF = fl;X) curve)
\
constant P, Tjn
Fixed pump curve
^.NOP CP2 CP, Power
(c) Schematic representation of definition of MCPR
FIG. 3.1. Definition of margins to CHF as defined by MCHFR, MCHFPR and MCPR.
17
(ii) to evaluate the thermalhydraulic and neutronic response to CHF occurrence in a reactorcore. This requires knowledge of how CHF spreads in the reactor core, which in turnrequires a best-estimate prediction of the average CHF for a section of the core and/orprediction of the variation of fuel surface area in dryout as a function of power.
This chapter is subdivided as follows: Section 3.2 discusses various CHF mechanisms,followed by a description of the CHF database in Section 3.3. In Section 3.4, CHF predictionmethodologies are reviewed for both tubes and bundle geometries, ranging from correlations,subchannel codes, analytical models and look up tables. In Section 3.5, the recommendedprediction methods for CHF in AWCRs are described, together with correction factors toaccount for various CHF separate effects. The assessment of the accuracy of therecommended prediction method when applied to steady state conditions is described inSection 3.6. Finally in Section 3.7 the prediction of CHF during transients such as LOCAs,flow and power transients are discussed.
The topic of CHF has been extensively researched during the past 30 years. Excellentreviews may be found in text books by Collier (1981), Tong (1965), Tong and Weisman(1996), Hewitt (1970) and Hetsroni (1982), and review articles by Bergles (1977), Tong(1972), Groeneveld and Snoek (1986), Weisman (1992) and Katto (1994).
3.2. CHF MECHANISMS
3.2.1. General
In forced convective boiling, the boiling crisis2 occurs when the heat flux is raised tosuch a high level that the heated surface can no longer support continuous liquid contact. Thisheat flux is usually referred to as the critical heat flux (CHF). It is characterized either by asudden rise in surface temperature caused by blanketing of the heated surface by a stablevapour layer, or by small surface temperature spikes corresponding to the appearance anddisappearance of dry patches. The CHF normally limits the amount of power transferred, bothin nuclear fuel bundles, and in conventional boilers. Failure of the heated surface may occuronce the CHF is exceeded. This is especially true for highly subcooled CHF conditions. Athigh flows and positive dryout qualities, the post-dryout heat transfer is reasonably effectivein keeping the heated surface temperatures at moderate levels, and operation in dryout may besustained safely for some time.
In flow boiling the CHF mechanisms depend on the flow regimes and phasedistributions, which in turn are controlled by pressure, mass flux and quality. For reactorconditions of interest, the flow quality generally has the strongest effect on CHF: the CHFdecreases rapidly with an increase in quality. The change in CHF with pressure, mass flux andquality is illustrated in the tables of Appendix II. The following sections describe the CHFmechanisms encountered at different qualities and flow conditions.
3.2.2. DNB (departure from nucleate boiling)
(i) Nucleation induced. This type of CHF is encountered at high subcooling (negative flowqualities) where heat is transferred very efficiently by nucleate boiling. Here the bubblesgrow and collapse at the wall; between the bubbles some convection will take place.
2 Other terms used to denote the boiling crisis: burnout, dryout, departure from nucleate boiling (DNB).
18
The CHF (or DNB) occurs at very high surface heat fluxes. It has been suggested[Collier (1981); Tong (1972)] that the CHF occurrence is due to the spreading of adrypatch following microlayer evaporation under a bubble and coalescence of adjacentbubbles although no definite proof of this is yet available. The occurrence of CHF hereonly depends on the local surface heat flux and flow conditions and is not affected bythe upstream heat flux distribution. The surface temperature excursion occurring onceCHF is exceeded is very rapid (fast dryout) and usually results in a failure of the heatedsurface.
(ii) Bubble clouding. In subcooled and saturated nucleate boiling (approximate qualityrange: from - 5 % to +5%) the number of bubbles generated depends on the heat flux andbulk temperature. The bubble population density near the heated surface increases withincreasing heat flux and a so-called bubble boundary layer [Tong (1965), Weismann(1983)] often forms a short distance away from the surface. If this layer is sufficientlythick it can impede the flow of coolant to the heated surface. This in turn leads to afurther increase in bubble population until the wall becomes so hot that a vapour patchforms over the heated surface. This type of boiling crisis is also characterized by a fastrise of the heated surface temperature (fast dryout). Physical failure of the heatedsurface frequently occurs under these conditions.
3.2.3. Helmholtz instability
In saturated pool boiling, the CHF is limited by the maximum vapour removal rate.Zuber's theory of CHF [as reported by Hsu and Graham (1976)] assumes the heated surface tobe covered by a rising vapour column with countercurrent liquid jets flowing downwards tocompensate for the removal of liquid by evaporation. Ultimately at very high heat flux levels(vapour removal rates) the relative velocity between liquid and vapour will be so high that anunstable flow situation is created, resulting in a CHF condition. This was recognized byKutateladze (1952) who based his hydrodynamic theory of the boiling crisis on thisinstability. A similar situation can be considered at very low flow rates or flow stagnationconditions. This type of CHF is accompanied by a rapid rise in surface temperature (fastdryout).
3.2.4. Annular film dryout
In the annular dispersed flow regime (high void fraction and mass flow) the liquid willbe in the form of a liquid film covering the walls and entrained droplets moving at a highervelocity in the core. Continuous thinning of the liquid film will take place due to thecombined effect of entrainment and evaporation. Near the dryout location the liquid filmbecomes very thin and due to the lack of roll waves (which normally occur at higher liquidfilm flow rates) entrainment is suppressed. If the net droplet deposition rate does not balancethe evaporation rate the liquid film must break down. The temperature rise accompanying thisfilm breakdown is usually moderate (stable dryout). The liquid film breakdown may bepromoted by one of the following mechanisms:
(i) Thermocapillary effect: If a significant amount of heat is transferred by conductionthrough the liquid film and the interface is wavy, the temperature of the liquid vapourinterface will have a maximum in the valley of the wave and large surface tensiongradients will be present. The surface tension gradients tend to draw liquid to areas ofhigh surface tension. Under influence of this "thermocapillary effect" the liquid film
19
will eventually break down in the valley of the wave. This mechanism is thought to beimportant at low flows and high qualities.
(ii) Nucleation induced film breakdown: Hewitt et al. (1963) noticed that nucleation andsurface evaporation could occur simultaneously in the annular flow regime. If the liquidfilm thickness is close to the maximum bubble size, then the bubble may rupture theliquid vapour interface and a momentary drypatch could occur. At high heat flux levelsthe liquid film may be prevented from rewetting this spot by the high drypatchtemperatures. This mechanism will only occur for local heat flux spikes, or a highlynon-uniform axial heat flux distribution.
3.2.5. Unstable or periodic dryout
The critical heat flux can be considerably reduced due to the hydrodynamiccharacteristics of the experimental equipment. Flow oscillations are frequently encountered inparallel channels, channels experiencing slug flow or in systems having a compressiblevolume near the inlet. During an oscillation the velocity at the wall is periodically sloweddown, thus permitting the boundary layer to become superheated which may lead to apremature formation of a drypatch. Unstable dryouts are accompanied by an oscillation insurface temperature.
3.2.6. Slow dryout
During a slow dryout the heated surface does not experience the usual dryouttemperature excursions; instead, a gradual increase in surface temperature with power isobserved. A slow dryout is usually encountered in flow regimes where the phases aredistributed homogeneously such as froth flow or highly dispersed annular flow at high massvelocities (>2.7 Mg m"2 s"1) and void fractions >80%. At these conditions liquid-wallinteraction is significant thus limiting the temperature rise at dryout. Calculations based oncooling by the vapour flow only indicate that post-CHF temperatures are below the minimumfilm boiling (Leidenfrost) temperature; hence depositing droplets may wet the surface thusincreasing the heat transfer coefficient.
3.3. CHF DATABASE
3.3.1. General
Since the CHF usually limits the power output in water cooled reactors, accurate valuesof CHF are required. The CHF has been measured extensively in simple geometries such asdirectly heated tubes. Such measurements have helped us to understand the CHF mechanisms.However to obtain accurate values of the CHF at reactor conditions of interest, experiments intest sections closely simulating the reactor fuel bundles are required. Such experiments arevery expensive; e.g., CHF tests in Canada alone have cost over 30 million dollars over thepast 20 years.
To reduce the expense and complexity of CHF testing of full-scale fuel bundles withhigh pressure steam-water, low-latent-heat modeling fluids have been used. Freons have beenused successfully in many heat transfer laboratories as a modeling fluid for simulating theCHF of water. Reliable CHF predictions for water can be made based on CHF measurementsin Freons at considerably lower pressures (e.g. 1.56 MPa in Freon-12 compared to 10 MPa inwater), temperatures (e.g. 50°C in Freon-12 compared to 300°C in water) and powers (e.g.
20
685 kW in Freon-12 compared to 10 MW in water), resulting in cost savings of around 80%compared to equivalent experiments in water.
In Sections 3.3.2 and Section 3.3.3, the available databases will be discussed. Particularattention is given to the CHF data in tubes as:
(i) the tube database is most complete and covers a much wider range of flow conditionsthan any other geometry, and
(ii) bundle geometries can be broken down into subchannels (see Section 3.4.4) which aretraditionally assumed to behave as tubes with correction factors applied to account forsubchannel specific effects.
TABLE 3.1. RANGES OF CONDITIONS COVERED BY VARIOUS SETS IN THE AECLDATABANK
References
AlekseevfKirillov, 1992]
Becker et al.T1962,1963]
Becker et al. [19651
Becker and Ling[19701
Becker et al. [19711
Bennett et al. [19651
Bergelson [19801
Bergles [19631
Bertoletti et al. [19641
Borodin and MacDonald[19841
Cheng et al. [19831
DeBortoIietal. [1958]*
Dell etal. [19691
Era etal. [19671
Griffel [19651
Griffel [1965]SRL data
Groeneveld 119851
Hassidetal. [1967]
Hewitt et al. [19651
Jens and Lottes [19511
Judd and Wilson [19671
Kirillov et al. [19841
Landislau [1978]
Lee and Obertelli[1963]*
Diameter(mm)
10.0
3.94-20.1
3.93-37.5
2.40-36.0
10.0
9.22-12.6
8.00
0.62-6.21
4.90-15.2
8.92
12.3
4.57-7.77
6.17
5.98
6.22-37.5
6.35-25.4
10.0
2.49-2.51
9.30
5.74
11.3
7.71-8.09
4.00
5.59-11.5
Length(m)
1.000-4.966
0.400-3.750
0.216-3.750
0.500-1.880
1.000^1.966
1.524-5.563
0.241-0.400
0.011-0.155
0.050-2.675
3.690-3.990
0.370-0.740
0.229-0.589
0.914-5.512
1.602-^1.800
0.610-1.972
0.597-1.105
1.000-2.000
1.590-2.391
0.229-3.048
0.625
1.829
0.990-6.000
0.200
0.216-2.007
Pressure(MPa)
9.80-19.6
0.22-8.97
1.13-9.91
3.05-7.10
3.00-20.0
6.61-7.48
0.17-3.08
0.14-0.59
4.88-9.88
8.20-10.4
0.10-0.69
6.90-13.8
6.90
6.78-7.05
3.45-10.3
0.41-8.41
7.90-20.0
2.94-6.09
0.10-0.21
3.45-13.8
6.86-13.9
6.37-18.1
0.42-1.00
4.14-11.0
Mass Flux(Mg.rrfV)
0.216-7.566
0.100-3.183
0.160-5.586
0.093-2.725
0.156-8.111
0.624-5.844
1.927-7.078
1.519-24.27
1.051-3.949
1.194-6.927
0.050-0.400
0.651-6.726
1.329^1.136
1.105-3.015
0.637-18.58
0.664-11.39
0.282-2.805
0.369-3.858
0.091-0.301
1.302-10.60
0.674-3.428
0.494^t.l54
0.884-5.504
0.678^1.421
Dryout Quality(-)
-0.866-0.944
-0.069-1.054
-0.005-0.993
0.207-0.903
-0.866-1.061
0.026-0.948
-0.295-0.090
-0.137-0.111
-0.083-0.774
0.105-0.570
0.187-1.227
0.052-0.768
0.144-0.779
0.374-0.952
-0.209-0.592
-0.253-0.484
-0.097-0.805
-0.035-0.838
0.161-1.083
-0.464—0.150
0.016-0.776
-0.494-0.981
-0.051—0.01
0.000-0.910
InletSubcooling
(kJ.kg"1)
57-1398
-50-1640
-16-2711
371-1065
26-1414
21-691
96-853
25-534
-28-769
31^156
42-210
0-874
79-365
-1211-565
45-1209
66-1224
622-1733
0-467
^11-383
279-1310
33-730
7-1537
104-638
9-690
Critical HeatFlux
(MW.m-!)
0.134-4.949
0.278-7.477
0.503-6.620
1.026-5.130
0.135-5.476
0.590-3.300
3.511-14.57
4.957^14.71
0.199-7.503
0.542-2.304
0.331-2.115
1.609-5.805
0.493-3.340
0.109-1.961
1.401-8.107
3.186-11.83
1.133-5.479
1.427-3.433
0.144-4.013
2.965-11.92
0.593-2.669
0.110-7.700
1.860^.631
1.104-8.107
No. ofData
1108
2664
1343
116
1496
201
336
117
386
465
150
54
82
163
402
85
118
238
442
48
49
2470
136
295
21
TABLE 3.1. (CONT.)
References
Lee R9651*
Lee fl9661
Leung et al. [1990]
Leung et al. [19901
Lowdermilk et al.[19581
Matzner[1963]*
Matzneretal. [1965]
Mayinger [19671
Menegus [19591***
Nguyen and Yin [19751
Rudzinski [1992[**
Smolin et al.[1962,19641
Smolin et al. [19791
Snoek [1988]
Swenson [19621*
Tapucu [1992]**
Thompson and Macbeth[19641+
Tong [19641
Yin et al. [19881
Zenkevich et al. [19691
Zenkevich et al. [19711
Zenkevich [19741++
Overall
Diameter(mm)
9.25-11.8
14.1^14.7
5.45
8.94
4.00-4.80
12.8
10.2
7.00
3.6-92.4
12.6
8.00
3.84-10.8
3.84-16.0
11.9
10.5
8.00
1.02-37.5
6.22-12.9
13.4
3.99-15.1
7.80-8.05
4.80-12.6
0.62-92.4
Length(m)
0.841-3.658
0.635-1.524
2.511
2.490
0.119-0.991
1.930
2.438^1.877
0.560-0.980
.
2.438^1.877
1.745
0.776-4.000
0.690-6.050
1.500
1.753-1.803
0.940-1.840
0.025-3.660
0.380-3.660
3.658
0.250-6.000
7.000-20.00
1.000-6.000
0.011-20.00
Pressure(MPa)
6.45-7.17
8.24-12.6
5.03-9.71
7.03-9.58
0.10
6.86
6.89
1.92-10.2
0.19-6.80
6.65-8.40
3.07-10.1
7.84-19.6
2.94-17.7
9.46-9.61
13.8
0.49-3.01
0.10-19.0
5.17-13.8
1.03-21.2
5.88-19.6
6.86-17.7
5.89-19.6
0.10-21.2
Mass Flux(Mg.rrfV1)
1.961-5.722
0.332-3.410
1.168-9.938
1.956-7.611
0.027-4.866
0.933-1.978
1.193-9.560
2.233-3.734
0.006-13.70
0.930-3.838
1.232-7.832
0.498-7.556
0.490-7.672
0.980-5.060
0.678-1.763
0.876^t.061
0.010-18.58
0.678-14.00
1.938-2.081
0.498-9.876
1.008-2.783
0.497-6.694
0.006-24.27
DryoutQuality
(-)
-0.002-0.462
-0.110-0.780
0.210-0.578
0.106-0.414
0.030-1.236
0.075-0.592
0.008-0.693
0.098-0.405
-0.21-0.000
0.216-0.738
0.038-0.727
-0.132-0.795
-0.136-0.789
0.034-0.543
0.178-0.502
0.164-0.779
-0.820-1.577
0.002-0.502
0.075-0.431
-1.652-0.964
0.262-0.876
-0.221-0.969
-1.652-1.577
InletSubcooling(kJ.kg"1)
12-584
60-451
6-316
13-229
317-331
54-947
48-1183
-239-314
0-600
52^113
19-495
5-1329
4-1362
^81-356
41-565
31-809
0-1659
5-1060
0-493
2-1644
18-1549
5-1381
-1211-2711
Critical HeatFlux (MW.rrf
2)
1.000-4.306
0.871-3.738
0.656-3.058
0.904-2.328
0.167-9.525
1.686-3.372
0.643^1.041
0.924-5.618
1.56-11.70
0.677-2.024
1.388^4.512
0.230-5.652
0.245-5.626
0.423-3.037
0.587-1.063
1.193^1.680
0.113-21.42
0.587-6.139
0.583-1.864
0.136-14.76
0.470-1.283
0.230-4.740
0.109-44.71
No. ofData
274
435
66
39
113
25
99
128
129
56
106
666
3009
33
25
68
2356
266
287
5641
392
840
28 017
* These data have already been included in Thompson and Macbeth's compilation.
** These data are used for validation only.
*** These data have not been used since the heated-length values of channels were not provided.
+ Duplicated data of Becker (1963) have been removed.
++ Duplicated data of Zenkevich et al. (1969) have been removed.
3.3.2. Tube database
Table 3.1 lists a summary of data collected jointly by AECL and IPPE, and used in thedevelopment of the CHF prediction methods, including the CHF look up table [Groeneveld etal. (1996)]. Figure 3.2(a) shows that the conditions covered, although extensive, do leaveopen several gaps in the data. The non-proprietary part of the CHF databank, containing over30 000 CHF data, obtained in directly heated tubes, has recently been deposited in theInternational Nuclear Safety Center Database at Argonne National Laboratory, described inAnnex A.
22
u-
3
3000020000
10000 -
1000 -
100
10000
1000
•0.5 0 0.5
DRYOUT QUALITY
100 -
10 -
• WPB
*1
1 1
*KNNH|IE3|HH
-0.5 0 0.5DRYOUT QUALITY
0.1 -
0.01
0.001 -
0.0001
-0.5 0 0.5
DRYOUT QUAUTY
FIG. 3.2 (a). Ranges of test conditions for the combined AECL-IPPE tube-CHF data bank.
The parameters controlling the CHF in tubes (for steady state conditions, and a uniformheat flux distributions) are:
(i) Primary: thermodynamic quality, mass velocity, pressure and diameter(ii) Secondary: heated length, surface roughness, conductivity and tube wall thickness.
As the secondary parameters usually have a insignificant effect on CHF for conditionsof interest, they may be ignored.
23
3.3.3. Bundle database
A large number of CHF experiments in bundles have been performed ranging fromcrude simulations of fuel bundles (e.g. annuli or 3-rod bundles) to full-scale simulations ofactual fuel bundles. The following parameters have been found important in controlling CHFin fuel bundles:
(i) Flow parameters (pressure, mass flow, and quality). This includes cross section averageflow conditions (this is usually reported) and distribution of flow parameters (i.e.distribution of enthalpy and flow across a bundle as evaluated by subchannel codes orother empirical means),
(ii) Bundle geometric parameters (number of rods, rod spacing, unheated flow boundaryand heated length),
(iii) Rod bundle spacing devices and CHF enhancement devices (grids, appendages andmixing vanes) and their axial spacing,
(iv) Heat flux distribution (axial and radial heat flux distributions, and flux tilt acrosselements).
A number of surveys of bundle CHF data have been made. However because of theproprietary nature of bundle CHF data, these reviews are usually restricted as most bundledata (especially the recent ones) are unavailable or can only be obtained under specialagreements. An earlier paper by Hughes (1974) provides a compilation of bundle CHF datasources. A more recent example of the ranges of conditions covered by specific bundle datasets is given in Figure 3.2(b) for the WWER bundle geometry [Macek (1998)], as can be seenthe coverage is reasonably wide. However, as most bundle experiments still use fixedthermocouples, the reliability of the experimental CHF data as representing the initialoccurrence of CHF may well be too optimistic (i.e. overpredicts the CHF). The moreadvanced sliding thermocouple technique (Schenk, 1990) has demonstrated that largedifferences (up to 20%) in bundle CHF can occur around the circumference of the mostcritical rod at the axial location corresponding to the initial CHF.
3.4. CHF PREDICTION METHODOLOGY
3.4.1. General
Because of the many possible fuel bundle geometric shapes, a wide range of possible flowconditions and the various flux distributions for AWCRs, it is impossible to predict the CHFfor all cases with a single CHF prediction method and a reasonable degree of accuracy. Thecomplexity of predicting the CHF in a nuclear fuel bundle may be best understood by firstconsidering the prediction of CHF of a simplest experimental setup; a uniformly heated tubecooled internally by a fluid flowing at a steady rate vertically upwards. Here the CHF is afunction of the following independent variables:
CHF = f(LH,De,G,AHin,P,E) (3.1)
where E takes into account the effect of the heated surface, i.e. surface roughness, thermalconductivity and wall thickness.
24
WWER CHF DATA BANK
250
-0.3
-0.6Inlet Quality
2 0 1 8 1 6
Pressure(MPa)
I
250
200
150
100
3500Pressure(Mpa)
4500
15002500 Mass Flow
(kg/m2-s)
§45003500
5001500
2500 M ass Flow(kg/m2-s)
FIG. 3.2(b). Ranges of test conditions covered by the WWER CHF databank.
Despite the simplicity of the experimental setup, over 400 correlations for CHF in tubesare currently in existence. The present proliferation of correlations illustrates the complexstate-of-the-art in predicting the CHF phenomenon even for a simple geometry at steady-stateflow conditions. The complexity in predicting the CHF increases significantly for fuel bundlegeometries during severe transients, when additional parameters characterizing the transientare required. This demonstrates the need to categorize the important CHF-controllingparameters and their ranges of interest. A methodology to categorize these parameters forthermalhydraulic parameters of interest has been proposed in Annex B.
25
In the following sections, analytical CHF prediction methods are discussed in Section3.4.2, followed by empirical prediction methods in Section 3.4.3 which include empiricalcorrelations as well as the CHF look up table. In Section 3.4.4 the application of CHFprediction methods to bundle geometries is described.
3.4.2. Analytical models
Analytical CHF models are based on the physical mechanisms and satisfy the conservationequations. They generally require a two-fluid model approach but occasionally must use athree-field approach (e.g. dispersed annular flow). Although the models have been improvedsignificantly and usually predict the correct asymptotic trends, the evaluation process iscomplex and time-consuming. Furthermore, because of our limited understanding of themechanisms involved, and the lack in measurements of interfacial parameters, the models arestill less accurate than empirical correlations over the range of their database. An excellentreview of the analytical CHF models has been presented by Weisman (1992). The mostcommon CHF models that have met with some success are:
Annular film dryout model. This model is based on a mass balance on the liquid film inannular flow, and postulates that CHF corresponds to the depletion of the liquid film.Equations for droplet entrainment and deposition have been proposed. The model provides areasonable predictions of CHF for the annular flow at medium to high pressures and flowsand void fractions exceeding 50% [Hewitt and Hall-Taylor (1970)].
Bubbly layer model. This model postulates that CHF occurrence in the lower quality regimefirst occurs when the bubble layer covering the heated surface, becomes so thick and saturatedwith bubbles that liquid mixing between the heated surface and the cooler core liquidbecomes insufficient. This model as proposed by Weisman and Pei (1983); and Ying andWeisman (1986) appear to predict the CHF with reasonable accuracy at high pressure, highflow and low quality conditions.
Helmholtz instability model. In pool boiling, the boiling crisis is reached when the flow ofvapour leaving the heated surface is so large that it prevents a sufficient amount of liquid fromreaching the surface to maintain the heated surface in the wet condition. The phenomenon thatlimits the inflow of liquid is the Helmholtz instability, which occurs when a counter-currentflow of vapour and liquid becomes unstable. Zuber (1959) and Kutateladze (1952) havederived equations for the CHF based on the Helmholtz instability theory- their predictionsagree with the CHF values measured in pool boiling systems. For very low flows, a modified
version of this model as expressed by the Zuber-Griffith CHF correlation \CHFPB(l - a))
appears reasonable for up- and down flow at flows less than 0.1 Mg.m^.s"1 and a <0.8.However for a > 0.8 this correlation significantly underpredicts the CHF. At these conditionsthe \ — a correction is not recommended [Griffith et al. (1977)].
3.4.3. Empirical CHF prediction methods
Empirical CHF prediction methods may be subdivided into those based on inletconditions and those based on local cross-sectional average (CSA) conditions.
26
3.4.3.1. Inlet-conditions-type prediction methods
These prediction methods are all in the form of empirical correlations, based on CSAinlet conditions (P, G, Tjn or AH in) and usually assume the "overall power" hypothesis. Thishypothesis states that, for a given geometry and inlet conditions, the critical power NDo(power corresponding to the first occurrence of CHF for that geometry) is independent ofaxial or radial heat flux distribution or
NDO = f(Pin,Gin,Tin,c/ S,LH) (3-2)
This will permit the use of CHF correlations derived from uniformly heated bundle data forthe prediction of dryout power in non-uniformly heated bundles of identical geometry (i.e.identical cross section and heated length).
This technique is a reasonable one for obtaining a first estimate of dryout power; itgives reasonable estimate of dryout power in the annular flow regime for symmetric fluxprofiles and form factors ( qmax/qavg) close to unity. However it is not recommended for formfactors significantly different from unity.
This approach can also be used to predict the critical power of fuel channels with a fixedcross section, heated length, axial flux distribution (AFD) and radial flux distribution (RFD),irrespective of the form factor. If the experimental AFD and RFD represent the worst fluxshapes from a CHF point of view, then the empirical correlations can be used for lower-boundpredictions.
The Inlet-Conditions-Method cannot be used for predicting the location and magnitude of theCHF except when CHF initially occurs at the downstream end.
3.4.3.2. Local-conditions-type prediction methods
This type of prediction methods follow the local-conditions hypothesis which states thatthe local CHF is dependent only on the local conditions and not on upstream history. Inprinciple, the local conditions hypothesis is sound if it is based on the true local conditions(which must include radial distribution of void, liquid and vapour velocity, liquid temperatureand turbulent velocity fluctuation near the wall). Hence ideally
CHF =f(P,G,XD0,c/s) (3.3)
In practice only the local cross section average pressure, flow and quality are knownand the assumption
CHF = f(a.(r),Ti(r),Ui(r),Uy(r),Uv(r),'",P,(c/s)) (3.4)
that is often made. The local conditions approach, or variations thereof, is probably the mostcommon method for predicting CHF. This form is more convenient than Eq. 3.1 since itdepends on fewer parameters and permits the prediction of the location of CHF. Onecomplication with this method is its ability (or lack of it) to account for the effect of AFD.
27
Two methods are frequently used to account for the effect of a non-uniform AFD on CHF: theboiling-length-average (BLA) approach, and the F-factor approach [Tong (1965, 1972),Kirillov and Yushenko (1996)]. The F-factor approach tends to modify CHF correlationsdesigned for uniform heating, while in the boiling- length-average (or BLA) heat fluxapproach the heat flux distribution is modified. Lahey and Moody (1977) have shown that thetwo techniques are similar, yield similar answers and are reasonably successful in predictingthe CHF for various non-uniform AFDs. Section 3.5.3.6 will describe the recommendedapproach for correcting for the effect of AFD.
Local conditions based empirical correlations. The large majority of the CHF predictionmethods proposed are of this type. It is conservatively estimated that there are over400 empirical correlations of this type proposed in the literature for directly heated tubes.Their main disadvantage is their limited range of application.
CHF table look up method. Since most empirical correlations and analytical models have alimited range of application, the need for a more general technique is obvious. As a basis ofthe generalized technique the local conditions hypothesis was used for the reasons given inSection 3.4.3.2 The initial attempt to construct a standard table of CHF values for a givengeometry was made by Doroshchuk (1975), using a limited database of 5000 data. The CHFtable approach, which is basically a normalized databank, has been continued at CENG-Grenoble, University of Ottawa, IPPE, and Chalk River using a much more extensivedatabase (30 000 data). The recently completed International CHF table look up method[Groeneveld et al. (1996)] provides CHF values for water cooled tubes, at discrete values ofpressure (P), mass flux (G), and quality (X), covering the ranges of 0.1-20 MPa, 0-7500kg-irf^.s"1 (zero flow refers to pool-boiling conditions) and -50 to 100% vapour quality(negative qualities refer to subcooled conditions). Linear interpolation between table values isused for determining CHF. Extrapolation is usually not needed as the table covers a range ofconditions much wider than any other prediction method. The CHF look up table and itsderivation are presented in Appendix II.
Compared to other available prediction methods, the tabular approach has the followingadvantages: (i) greater accuracy, (ii) wider range of application, (iii) correct asymptotic trend(iv) requires less computing time and (v) can be easily updated if additional data becomeavailable. Although tabular techniques were initially developed for tubular geometries, andhave been successfully used in subchannel codes, their greatest potential for application is inpredicting the consequences of postulated Loss of coolant-Accidents (LOCA). To apply thetables to transient heat transfer in bundles requires the use of adjustment factors to correct forgeometry, flux shape, and possibly transient effects. Here the advantages of the tabulartechnique (wide range of application, greater accuracy and more efficient in computing) areparticularly important to the user.
Although promising, the look up table approach has certain disadvantages such as (i) itis a purely empirical prediction method and hence it does not reflect any of the physics, and(ii) could introduce erroneous trends if the underlying database is subject to experimentalerrors. Despite these reservations, the look up table approach is currently considered to bemore accurate than other prediction methods for the CHF for most situations of interest.
3.4.4. Application to bundle geometries
Prediction of the critical power in untested fuel bundle geometries remains unreliable. Effectsof flux distribution, grid spacers and bundle array dimensions are not well understood. The
28
next two approaches are commonly used, while the third one has more recently been proposedand an alternative.
(1) Empirical approach: The empirical CHF predictions methods use cross-sectionalaverage conditions to predict the CHF or critical power and are designed for tubes orbundles. For bundles for which experimental data can be obtained (using an electricallyheated fuel bundle simulator, having a fixed axial and radial flux distribution) a variantof the following methodology is frequently employed:
— obtain sufficient data for deriving an empirical CHF correlation for conditions ofprimary interest;
— extrapolate the empirical correlations (which are usually based on a given axialand radial flux distribution) to other flux distributions of interest using the changein CHF as predicted by (i) subchannel codes (see below) or (ii) empirical methodsto account for changes in the upstream flux shape (as described in the previoussection;
— similarly extrapolate to other conditions not tested in the full scale simulation testsusing trends observed in simpler geometries, or as predicted by subchannel codes.
(2) Subchannel approach: The subchannel approach is basically different from theempirical approach as it predicts the axial variation in flow and enthalpy for eachsubchannel. It is particularly useful for bundles for which no direct experimental dataare available. The following methodology is normally followed for bundleCHF prediction based on the subchannel analysis approach:
— employ subchannel codes to predict the flow and enthalpy predictions across thebundle
— employ subchannel CHF models (basically modified tube CHF predictionmethods) for predicting the initial CHF occurrence anywhere in the bundle.
Two definitions of subchannels are currently in use. The conventional approach definessubchannel boundaries by lines between rod centre and is used in subchannel codessuch as ASSERT [Carver et al. (1993)], COBRA [Owen 1971)]; ANTEO [Cervolani(1995)] or HAMBO [Bowring (1967)]. The rod centered approach defines subchannelboundaries by lines of zero stress between rods and is used primarily to predict CHF inthe annular flow regime [using Hewitt and Hall-Taylor's (1970)] annular flow model oran equivalent CHF correlation. A thorough review of subchannel prediction methods ispresented by Weisman (1975).
(3) Enthalpy imbalance approach. An alternative to the subchannel approach has beendescribed by McPherson (1971) (applied to various bundle geometries contained inpressure tubes), Bobkov (1995, 1997) (applied to excentric annuli and bundlesubchannels), and Leung (1997) (applied to 37 element bundle CHF predictions). Thisapproach, which was recently reviewed by Kirillov et al. (1996b), considers thedifferences in enthalpy rise rates among bundle subchannels, and based on this defines aquality imbalance, AX for that bundle. This quality imbalance (a variation of this is theenthalpy imbalance number specified by McPherson(1971) ) represents the difference inqualities between the cross section average bundle quality and the maximum bundlesubchannel quality for a given cross-section. The difficulty is in predicting theAX value; no general expression for the enthalpy imbalance is yet available but ad hocexpressions for specific bundle geometries have been proposed. In general,
29
AH =f\51 d, AXmaxJ where 81 d is the element gap/diameter ratio, and AXmaxis the
maximum quality imbalance, which depends on the difference between the subchannelenthalpy of the critical subchannel for zero cross flow and the cross-sectional averageenthalpy. Once a general expression for AX is found (this may well require a fit of arandomly-generated database using a subchannel code) the bundle CHF can be obtainedfrom the tube CHF look up table [Groeneveld et al. (1996)] for the critical subchannel,hi equation form this bundle CHF methodology is as follows:
CHF bundle (P, G, X) = CHF tube (P, G, Xo). K,.K$.K4'K5- (3.5)
where:
Xo = X + AXand Ki, K3, etc. are correction factors described in Section 3.5.3. Theimpact of flow imbalance on CHF is usually assumed to be negligible or assumed to beincorporated in AX.
3.5. RECOMMENDED CHF PREDICTION METHOD FOR ADVANCEDWATER COOLED REACTORS
To provide precise predictions of CHF for advanced water cooled reactors fuel bundlesis a nearly impossible task as advanced water cooled reactors designs include a variety ofbundle cross sections as well as element spacer designs. This section therefore willrecommend a generic approach of predicting CHF in untested bundle geometries. The basis ofalmost any generic bundle prediction method is a tube CHF prediction method, because (i) theparametric trends with P, G, and X are similar in tubes and in bundles, and (ii) tube CHFprediction methods are generally used in subchannel codes to predict the CHF in bundles.
hi this section we will first discuss the recommended tube CHF prediction method andwill subsequently describe how this method can be used for predicting the CHF in bundlegeometries.
3.5.1. Tubes
The recommended CHF prediction is the recently published CHF look up table for tube[Groeneveld et al. (1996)] which was based on cooperation of several international groups,notably AECL in Canada and IPPE in Russia. This CHF prediction method is a slightmodification from previous tables [Groeneveld et al. (1993)], has been validatedindependently by others as described in Section 3.6.1 and has resulted into better CHFpredictions compared to other existing CHF correlations, both in accuracy and range ofvalidity. Groeneveld et al. (1996) have presented a complete description of the new tableincluding its derivation, and accuracy with respect to the world database, and a comparisonwith other widely used CHF prediction methods.
30
3.5.2. Rod bundles
The tube CHF look up [Groeneveld et al. (1996), see also Appendix II] needs to beconverted into a prediction method for bundle geometries. To do this, two approaches may beused:(1) Subchannel based approach, as described in Section 3.4.4 item 2, and(2) Cross-sectional average bundle approach as described in Section 3.4.4 item 3.
Ideally a subchannel code should be used to predict the CHF for bundle geometry.Several subchannel codes are currently in existence [see review article by Weisman (1975) formore details] but their validation tends to be limited to a narrow range of bundle geometriesand flow conditions for which their constitutive relations have been tuned to agree with theexperimental database. With time this limitation is expected to be resolved as moreappropriate constitutive relations are being derived and the robustness of the codes iscontinuously being improved.
In both of the above approaches the CHF needs to be modified to account for bundlespecific or subchannel specific effects. The following correction factor methodology isadopted to evaluate the bundle or subchannel CHF:
CHFbundle = CHFtablexK1xK2xKsxK4xK5xK6xK7xK8 (3.6)
where
is cross section average value of the heat flux at which the CHF first occurs at thecross-section, CHFtabie is the CHF value for a tube as found in the look up table for the samecross-sectional average values of P and G, and Ki to Kg are correction factors to account forspecific bundle effects. Note that the form of this equation implies that all correction factorsare independent. Many factors are somewhat interdependent, but these interdependencies areassumed to be second order effects unless indicated otherwise in the following sections. Thecorrection factors are described in Section 3.5.3.
3.5.3. Correction factors
Table 3.2 lists the most common bundle specific or subchannel specific effects whichare expected to affect the CHF. As these effects are not reflected by the database for the tubelook up table, correction factors have been derived. Table 3.3 lists approximate relationshipsfor the correction factors. The sections below elaborate on the more important correctionfactors.
3.5.3.1. Diameter
Experiments in tubes have shown a strong effect of tube diameter on CHF. A number ofinvestigators have discussed this effect. Recently Wong (1996) has made a thoroughsystematic study of this effect and concluded that the original approach using the equation:
31
K, =CHFD
CHF' D=8mm 8
(3.7)
where
n is between -1/3 and -1/2 and appears to be valid for the majority of the data. Slightimprovements could be made by assuming n = f (P, G, X) but the improvements were minorand limited to the range of experimental data on which the new n-function was based. Chengand Erbacher (1997) have recently performed additional experiments in Freon and noticedthat the change in CHF with diameter according to Eq. 3.7 appears to valid (with n —1/2) fordiameters equal or smaller than 8 mm but no effect of diameter (or a very small effect) onCHF was observed for diameters greater than 8 mm. Note that Cheng's data were obtainedprimarily at subcooled or low quality conditions. Kirillov and Yushenka (1996) also noteddisagreements in the diameter effect on CHF for negative qualities but the general agreementfor D 8mm with n between -1/3 and -1/2. Despite this disagreement, the recommendation byGroeneveld (1996) using n = -1/2 , and subsequently confirmed by Wong (1996), appears tobe a simple compromise which agrees reasonably with the bulk of the available data.
Although Ki was derived empirically from tube data, the diameter correction factor hasbeen applied directly to subchannels as well where the Dhy is used. Because of lack of data onCHF in various sizes of subchannels, the validity of the approach as applied to subchannelshas not been confirmed.
TABLE 3.2. CHF SEPARATE EFFECTS ENCOUNTERED IN FUEL BUNDLES
GENERAL
Global Flow Area Effects:
Subchannel Effects
Length Effects
Spacers/Bundle Appendages Effects
Flow Orientation Effects
Axial/Radial Flux Distribution Effects
Flow Parameter Effects
Transient Effects
Effect of Fluid Type
DETAILS OF SEPARATE EFFECTS
- n-rod bundle where n » 3 and all subchannels identical except corners orcold-wall-adjacent subchannels (e.g., square or triangular arrays ofsubchannels)- n-rods where n » 3 and adjacent subchannels are generally not equal (e.g. 37-rod bundle geometries inside round tubes)
- Subchannel size/shape (similarity to tube)- Cold wall effect- Distorted subchannels (due to bowing, clad strain, pressure tube creep)- Misaligned bundles (CANDU case)
Similar to appendage effects
- mixing grids- attached spacers/ bearing pads/ endplates (CANDU)
- Vertically upward- Vertically downward- Horizontal
- Axial flux distribution (flux peaking/global flux distribution)- Radial Flux Distribution (global RFD effect, cold wall effect, flux tilt acrossan element)
- mass flow (incl. zero flow or pool boiling / flow stagnation case)
- Power/Flow/Pressure transients- Combined transients
- Light water- Heavy water- Modelling fluids (Freons) in conjunction with a CHF Fluid-to-fluid modellingtechnique
32
TABLE 3.3. SUMMARY OF CORRECTION FACTORS APPLICABLE TO THE CHFLOOK-UP TABLE
FACTOR FORM COMMENTS
Kj, Subchannel or Tube- For 2 < Dh < 25 m m :
Diameter Cross-Section _ m n n R i -.1/2Geometry Factor K l ~ (0-008/D»y)
For Dhy > 25 mm:K, = 0.57
Includes the observed diameter effect onCHF. This effect is slightly qualitydependent.
K2, Bundle-Geometry FactorK2 = mm[l,(0.5 + 2S/d)exp(-0.5x
1/3JThis is a tentative expression, an empiricallyderived factor is preferred. K2 is also aweak function ofP, G andX.
A = 1.5 KL05(G/1000 f2
B = 0.10
This factor has been validated over a limitedrange of spacer geometries.
K4, Heated-Length Factor For L I D hy > 5 :
K4 =
ah =
exp(2afl)]
Inclusion of ah correctly predicts thediminishing length effect at subcooledconditions.
, Axial Flux Distribution For X < 0 : K5= 1.0Factor For X > 0: Ks =
Tong's F-factor method (1972)may also be used within narrow ranges ofconditions.
K6, Radial or Circumferential For X > 0: K6 = q(z)avg/ q(z)max
Flux Distribution Factor For X < 0: Ke = 1.0Tentative recommendation only and to beused with well-balanced bundle. May beused for estimating the effect of flux tiltsacross elements. Otherwise method of Yin(1991) is recommended.
K7, Flow-Orientation FactorK? = l-exp(-(Ti/3rj)
This equation was developed by Wong andGroeneveld (1990) based on a balance ofturbulent and gravitational forces. The voidfraction is evaluated with the correlation ofPremolietal. (1970).
-a) gDhyPf(pf-pg)d0.5
fi, is the friction factor of the channel
Kg, Vertical Low-Flow Factor G<-400 kg.m'2.s"! or X « 0 :
Ks = 1-400 <G < 0 kg.m'2.s'': Use linear interpolation betweentable value for upward flow and value predicted from
CHF = CHFG=o,x=o (1 - ahom) C,
For ah(0.S :
Cl = 1.0
c, =0.8 + 0.2 pf/ p.
+ O-CChom) Pf/ P,
Minus sign refers to downward flow.G=0, X=0 refers to pool boiling.
3.5.3.2. Bundle
Prediction of the critical power in untested fuel bundle geometries such as many of theproposed advanced water cooled reactor fuel bundles has a higher uncertainty especially if theflux distribution, grid spacer shape and bundle array dimensions are different from thosetested previously. The most reliable approach aside from ad hoc testing, is to employ asubchannel analysis as described in Section 3.4.5 (at a limited range of conditions of interest)to valuate the bundle CHF analytically, and to derive a bundle correction factor expressed as
33
for use inside a systems code. In the absence of any test data Eq. 3.8is the simplest one available and follows the correct asymptotic trends.
K2 = Min/7.0,(0.5 + 2S/d)exp(-0.5x1/3)] (3-8)
Note that further work in this area is required and that the approach based on theenthalpy imbalance as embodied in Equation 3.5 [Kirillov (1996b)] is the most promising
K^_CHFtube,ab!e(P,G,X + AX) (3.9)
CHFtube-tab!e(P>G,X)
one. This would then simply change the bundle correction factor to the form of Equation 3.9,but requires an empirical expression for AX (see also Section 3.4.4 item 3 and the referencesof Appendix III for further details).
3.5.3.3. Spacer
A number of researchers have investigated the effect of spacing devices on CHF orcritical power. Figure 3.3 shows the various types of spacers used in these studies. In generala significant increase in local CHF was observed just downstream of the spacers. Thisincrease usually decays slowly with distance downstream as illustrated in Fig. 3.4. Theincrease is primarily due to the higher turbulence level of the two-phase flow, which canstrongly suppress the occurrence of CHF and the improved intersubchannel mixing. Inexperiments on CANDU fuel bundles, this increase in CHF is most pronounced justdownstream of spacer planes and bundle junctions, where increases in local CHF of over150% have been observed.
The strong CHF-enhancement effect has been confirmed by others, e.g. Tong (1972). Ithas been expressed by the enhancement factor:
(3.10)
where
A = 1.5 K0'5 (0.001 G)02 (K is the pressure loss coefficient of the spacing device) and B = 0.1were proposed by Groeneveld (1989).
Subsequent studies at CRL and IPPE have noted that using the pressure loss coefficientitself may not be sufficient because of the apparent insensitivity of the CHF enhancement tostreamlining of the grid spacer, and an expression using the flow blockage area may be moreappropriate [Kirillov (1997)]. Note that these values will still be approximations as the shapeof the spacer and the element gap are also important parameters.
In bundles the length factor is no longer needed as this effect is already incorporated inthe spacer correction factor (hence K4 = 1).
34
WffJU
TTi
U
ffll
HONEYCOMBTYPE SPACER
EGG CRATE
TYPE SPACER
FERRULE TYPE CANDU TYPE HELICAL PLATE TYPE
SPACER SPACER &WEAR PADS WIRE WRAP SPACER
u13uo
F/G. 3.3. Different types of rod spacing devices.
CHF for bundle with rod spacing devices
Rod spacing devices
FIG. 3.4. Exponential decaying CHF enhancement downstream of a spacing device.
35
3.5.3.4. Axial flux distribution
Many experimenters have studied the effect of axial flux distribution (AFD) on criticalpower [e.g. Collier (1981); Tong (1972); Todreas and Rohsenow (1965); Groeneveld (1975),Kirillov (1997)]. The common observation in all these studies is that the AFD has a strongeffect on the CHF in the annular flow regime but this effect tends to disappear altogether forthe DNB-type of CHF. The effect of AFD on CHF can be accounted for by using the boiling-length-average (BLA) heat flux instead of the local heat flux. The BLA heat flux is definedas:
( 3 ' n )
T _ GHfsDhe (3-12)4 X DO <} BLA
where the BLA heat flux has been incorporated in the AFD correction factor K5 defined as:
K5=P l o c a l /pB L A for X> 0.0K5 = 1.0 for X< 0.0
3.5.3.5. Radial flux distribution
The ideal tool for evaluating the RFD effect on dryout power or CHF is a reliablesubchannel code. Subchannel codes can also consider the effect of flux tilt across elements byaccounting for the different heat flux values around the circumference of a fuel pin. Howeversubchannel codes are complex, expensive to run and have usually a limited range validity.Hence a more empirical approach is often preferred. The RFD correction factor falls betweentwo extreme values: (i) for open bundles where the subchannel flow and enthalpy imbalanceis small, and the maximum heat flux controls the initial occurrence of CHF. For such a caseK2 is close to unity (or AX is close to zero) and K6 is approximately equal to qavg(z)/qmax (z),where qmax represents the maximum heat flux for the subchannel and qavg is the cross sectionaverage heat flux, and (ii) for very tight bundles (8/D < 0.1) where the communicationbetween subchannels is severely hampered and K$ (if used in conjunction with K2 asexpressed by Equation 3.8) depends also on the subchannel and flow imbalance. For this casea technique for obtaining a K6 value based on RFD was proposed by Yin et al. (1991), but thisstill requires knowledge of the RFD corresponding to simultaneous CHF occurrence acrossthe bundle (this could possibly be obtained from subchannel codes). However if the K2 valueis obtained from Equation 3.9 (based on AX), no further correction for K^ beyond the qaVg/qmaxvalue is required.
3.5.3.6. Flow orientation
The effect of orientation is important for CANDU reactors, where the fuel channels areoriented horizontally, and for conventional boilers, where many of the boiler tubes areinclined. The approach taken is to correct the vertical flow CHF by a penalty factor to accountfor the deleterious effects of flow stratification. For fully stratified flow, the CHF = 0 (i.e.K7=0), while for a flow regime unaffected by flow stratification, CHFver = CHFhor orK7= 1.0. Using a mechanistically based flow regime map [e.g. Taitel and Dukler (1975)]
36
permits the determination of the mass flux threshold Gi, corresponding to the onset ofcomplete flow stratification (where liquid no longer touches the top of the channel, i.e. theCHF = 0) and the mass flux threshold G2, corresponding to the first noticeable effect ofstratification on the phase distribution. Table 3.3 shows a simple expression for the correctionfactor K7 having the correct asymptotic trends. A more rigorous expression for the flowstratification correction factor was derived by Wong et al. (1990), based on both the flowregime and a force balance on the phases. Their expression for the correction factor K7resulted in accurate predictions of the CHF in horizontal flow in various fluids over a widerange of conditions.
3.6. ASSESSMENT OF ACCURACY OF THE RECOMMENDEDPREDICTION METHODS
3.6.1. CHF look up table assessment
The CHF look up table described in Section 3.5.1 and presented in Appendix II as wellas earlier versions of the look up table have been assessed extensively. The most recentassessment was made at KAIST, Korea, by Baek et al. (1996) using their database. Theirassessment confirms the error statistics reported by Groeneveld et al. (1996), and confirms theimproved prediction capability compared with the 1986 AECL-University of Ontario (UO)Look-up Table [Groeneveld et al. (1986)]. In addition the distribution of CHF data and theerror distribution of the CHF look up table as a function of pressure, flow and qualityintervals are given in Table 3.4.
Earlier assessments by Smith (1986) and Weaver (1995) indicated the suitability of thetable look up approach and has resulted in its use in systems codes such as CATHARE[Bestion (1990)], THERMOHYDRAULIK [Ulrych (1993)], ASSERT [Kiteley (1991),Carver (1993)] and RELAP [Weaver (1995)]. Assessments were also made by Aksan etal.(1995) and Faluomi and Aksan (1997) where an earlier version of the look up table (CHF-UO table) was compared to other leading CHF correlations and the impact of the differencesin CHF predictions on nuclear plant transients of interest was assessed.
3.6.2. Accuracy of bundle CHF prediction methods
As indicated in the previous sections, the prediction of bundle CHF is much moredifficult than the tube-based predictions. In addition the database has a much greateruncertainty because of the relatively crude fixed thermocouple technique for detecting initialCHF occurrence. Prediction accuracy for a well tested bundle geometry is usually quitereasonable (frequently within 5% at a 2cr confidence level for a given inlet conditions) butthis is due to the fine-tuning of the correlation/subchannel code with empirically derivedcoefficients. For new AWCR geometries the accuracy is significantly reduced and could wellbe greater than 10% at 2<x.
An independent assessment was made by Chun et al. (1997) of the CHF look up table asa prediction method for bundles in conjunction with a subchannel code (COBRA-TV-1). Theycompared the look up table with six leading CHF prediction methods [Biasi et al. (1967)];W-3, EPRI-1 as referred to by Chun et al. (1997); Katto and Ohno (1984); and two CHFmodels [Weisman and Ying (1985); Lin et al. (1989)]. They concluded that, for AWCRdesign applications, in the absence of a database, the look up table has the greatest potential asa general predictor for CHF in rod bundles. The CHF look up table has also been used andassessed in conjunction with the ASSERT subchannel code [Carver (1993,1995)] and theANTEO subchannel code [Cervolani (1995)].
37
For specific bundle geometries a bundle specific look up table can be used. Goodsuccess has been reported with the recent IPPE bundle CHF look up table for WWERgeometries. This table is reproduced in Appendix III where a brief description of its potentialuse is also provided.
TABLE 3.4. ERROR-DISTRIBUTION TABLE FOR LOCALIZED RANGES OF FLOWCONDITIONS
Pressure Range (kPa)
Mass FluxRange(kg.nT2.s-')
0
to
1000
1000
to3000
3000to
4500
4500to
6000
6000
to
8000
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
Pressure Range (kPa)
0
to1000
1000to
3000
3000to
4500
4500
to
6000
6000to
8000
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
No. of Data
Avg. Error (%)
Rms Error (%)
No. of Data Set
100 to 1000
Quality Range
-0.5-
-0.1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
3
3.8
4.7
3
3
3.2
3.7
2
0
0
0
0
0
0
0
0
-0.1-
0.2
1
31.9
31.9
1
0
0
0
0
1
14.3
14.3
1
0
0
0
0
0
0
0
0
8000 to
27
1.3
5.0
5
671
0.4
4.8
18
538
1.4
4.7
18
272
0.9
5.6
12
143
4.9
13.6
11
0.2-
0.5
55
4.7
16.7
4
115
12.3
25.7
6
33
9.9
20.1
2
0
0
0
0
0
0
0
0
12 000
249
1.8
11.9
12
1457
2.5
9.1
23
392
0.2
6.2
12
193
0.9
7.8
10
124
3.6
8.3
7
0.5-
1
523
0.4
8.8
5
21
2.1
18.5
4
0
0
0
0
0
0
0
0
0
0
0
0
535
-0.6
8.4
13
216
3.1
10.7
12
0
0
0
0
0
0
0
0
0
0
0
0
1000 to 5000
Quality Range
-0.5-
-0.1
0
0
0
0
0
0
0
0
1
13.3
13.3
1
0
0
0
0
0
0
0
0
-0.1-
0.2
0
0
0
0
45
-2.5
4.1
5
67
1.2
12.7
7
34
4.9
10.3
7
19
24.9
61.9
3
0.2-
0.5
87
-8.1
10.2
7
766
-2.7
10.2
10
248
4.8
12.0
7
28
5.7
11.9
5
22
11.9
17.3
2
0.5-
1
1755
-3.5
7.2
8
416
-1.9
10.8
8
0
0
0
0
0
0
0
0
0
0
0
0
12 000 to 16 000
0
0
0
0
86
-0.4
5.2
8
25
2.2
5.6
3
28
4.0
5.4
3
0
0
0
0
178
-0.6
6.1
7
1234
1.2
4.7
15
513
2.5
5.7
10
221
4.1
6.9
9
47
6.2
14.9
6
621
1.2
6.1
13
1763
1.8
6.0
13
337
-0.4
5.2
8
124
3.5
6.4
7
18
-1.8
3.6
3
388
0.7
10.4
10
15
-4.2
5.3
4
0
0
0
0
0
0
0
0
0
0
0
0
5000 to 8000
Quality Range
-0.5-
-0.1
0
0
0
0
2
-4.2
4.2
2
0
0
0
0
6
3.0
8.3
3
0
0
0
0
32
1.5
4.8
3
135
1.1
5.5
8
59
2.3
6.4
5
14
0.9
1.6
3
6
-1.5
1.9
2
-0.1-
0.2
1
4.6
4.6
1
454
0.0
10.4
17
486
1.9
9.9
18
228
1.0
5.3
13
95
7.2
11.0
9
0.2-
0.5
141
-1.0
5.4
12
1340
0.7
4.4
22
493
0.3
3.8
19
126
2.1
5.6
9
15
9.6
12.3
5
6 000 to 20 000
154
-0.3
4.4
8
570
0.7
4.1
9
255
4.6
8.6
9
134
6.6
9.3
7
34
7.5
12.1
6
333
0.2
5.0
9
1031
-0.5
4.8
9
272
1.3
5.7
8
106
2.6
5.9
7
9
-2.7
6.0
5
0.5-1
776
-1.4
5.9
15
747
0.0
8.2
15
0
0
0
0
0
0
0
0
0
0
0
0
215
0.7
8.9
8
16
0.3
3.8
3
3
-6.7
10.6
2
0
0
0
0
0
0
0
0
38
3.6.3. Impact of accuracy of CHF model on cladding temperature prediction
CHF prediction methods are usually integrated in reactor safety codes and are used topredict the cladding temperature. This brings up the concern whether the same CHFprediction method is used for maximum cladding temperature prediction and for predictingthe hydraulics response in a channel (see Section 3.7.1 for more details). Various investigatorshave considered the sensitivity of the CHF model in their codes on the cladding temperaturetransient. Belsito and D'Auria (1995) used an earlier version of the CHF look up table[Groeneveld et al. (1986)] and concluded that the discrepancies between pre-test and post-testanalysis is due to the uncertainty in the boundary conditions and the calculation of thepressure at CHF.
3.7. CHF CONCERNING ACCIDENT CONDITIONS
3.7.1. General
In the previous discussion of CHF prediction methods it was assumed that theprediction of the initial occurrence of CHF is of paramount importance (as it is for setting theoperating power for a reactor). However to predict the proper thermalhydraulic/neutronicresponse (they are linked) to a more massive occurrence of CHF across the core, knowledgeof how CHF occurrence spreads across the reactor core is required. This will permit anevaluation of how much of the heat generated by the fuel is used for evaporation (usually100% for saturated boiling if the CHF has not been exceeded), and how much is used forheating up the fuel (this could be close to 100% during fast transients where the fuel claddinghas just experienced CHF and is heating up to the corresponding film boiling temperature).Systems codes ideally should be based on this more detailed (3-D) approach of evaluating thespread of CHF occurrence (or drypatch size) across the core.
The drypatch size predictions depends directly on the choice of the time steps, axialnode size and size of nodes across the core. Detailed experiments on 37-rod fuel bundlesimulators using sliding thermocouples [Schenk et al. (1990)] have clearly indicated that itrequires a significant rise in power (10-25%) just to spread the CHF around one element,while the same measurements indicated that fuel element supports (spacers, endplates, grids)usually have a large local impact (-100-200%) on CHF (e.g. see Section 3.5.3).
A number of papers have been published where an assessment was made of theimplementation impact of the CHF look up table [Faluomi and Aksan (1997); Aksan et al.(1995); Weaver (1991)]. They generally confirm the difficulty of individual CHF correlationsin following the complex CHF variations with flow conditions.
3.7.2. Effect of the axial/radial node size
It is now known that CHF is strongly affected by fuel element supports such as gridspacers (which frequently are equipped with mixing vanes), and spacers/endplates in CANDUreactors. Increases in CHF of over 100% (for the same local flow conditions) due solely to thepresence of an upstream fuel rod support have been measured. This increase in CHF decreasesexponentially with distance downstream from the rod spacer as shown by Equation 3.10. Thenet impact of this depends on the specifics of the bundle geometry and rod support type:decreases in CHF by up to 50% over a distance of 12 cm have been measured [Doerffer
39
(1996)]. It is recommended to use as small an axial node length as practically possible (lessthan 5 cm) for those types of safety analysis where the size of the drypatch is important.
CHF does not occur simultaneously across a bundle, and in fact even across a37 element bundle, it requires typically 50% increase power (for the same local flowconditions P, G and X) to have the CHF spread across the half the bundle geometry, and over100% to spread across the whole geometry. Figures 3.5 and 3.6 [D'Auria (1997)] alsoillustrate the non-uniformity in CHF occurrence as measured in the LOBI and BETHSY testfacilities [Faluomi and Aksan (1997)]; for square array bundle geometries. This limits the useof a 1-D system code in representing the CHF behaviour and its impact on void generationand neutron flux behaviour for PHWR.
r o»uu -
3000:
S, :
2 2000^
> :
y :
1000:
BAF 0-
•
m
•m
A A
•A
—.A
•A
• A• • •
• • • •
• •
A
1 1 1 i 1 1 1 1 i i l i I 1 I 1 1 1 1 1
• •A
• A
A
1 1 1 1 I 1 I 1 1 1 1 1 1 1
560 580 600 620 640TEMPERATURE (K)
ooooooooo *o o"_o_p_ p 61 o
^!O'r6"o o ojo'ooroia[p"61o;o;oO;O;O'LO OjO!O|O
^o'o'o'ojoioO L ° _ O O O O O Jo o o"o"6~6"o o
Figure 3.5. Axial and radial distribution of rod surface temperatures during intial CHFoccurrence measured in the LOBI small break LOCA experiment BL-34.
40
TAF 3660H
3000-
sg 2000 :
5
1000
A
•O
DO
O
D Ooa
DO• • A
•oDm*
B A F 0 | i i i i i i i i i | i i i i i i i i i | i i i i i i i i i j i i i i r i i i i i i i i i i i i i r j
560 580 600 620 640 660TEMPERATURE (K)
HOT LEG— ' ~~BROKEN LOOP
/HOT LEG 2:——^
oooooQOOOOOOOQ.'
OOOOOOOOOO O'O OOOOOO OOOOO'OOOOO
<poooooooooobo[bo ooOOORQOoo ooooo opoooooooooo oXoooooo o'ocooo ooo
OOOOOO 0 O-QOO OOOOOOOOOOCoooopooo o]o~6!o Q'O ooooo t
j OOOOO b o o OOOOiOOOOO OOttC.- ....fooooooooo Q[o_pjoo o ooooo oloojc
OOOOOOO OOCLOO^O.OOO OOOOOO OO ]1 .O_0;0 |ocro o oofo^otoo 6b"Do-ooQ.o oo
3 0 0 0 O O obO OjO\0 OOOOOOOO 0"O /o'o O|O O O O O O <TO Q O Q O O O O O O O O O?O OOO OOOOOOOOOiDO OOOOO O Ooooooooo/oooooo'O o(5~olopo0000000000000.00 O|O OjO 6 O
ooooo oh o o o o o o o. oJo oreoooo aooooooooot
OOQOOOOOOOQOO O-Oo op oooooooooo/ooooooooo
OOOOO
Figure 3.6. Axial and radial distribution of rod surface temperatures during initial CHFoccurrence measured in the BETHSY small break LOCA experiment.
Three possible options are proposed to resolve the concerns of properly representing thethermalhydraulic/neutronic response to massive CHF occurrence.
(1) use subchannel codes to evaluate the spread of CHF occurrence in a core across a fuelcell or bundle;
(2) predict the average (not initial) CHF for a fuel cell or bundle and use this for predictingthe fraction of fuel in dryout (this requires knowledge of the variation in flow conditionsamong fuel bundle/fuel cell);
(3) use subchannel codes and/or experimental data to relate the bundle/core drypatchfraction to heat flux beyond the initial CHF occurrence and use this in systems codecalculations to predict the thermalhydraulic and neutronic response.
The choice of which option is appropriate depends on the application, the availability ofrelevant data and the type of subchannel and systems code.
41
3.7.3. Transient effects on CHF
3.7.3.1. Flow transient
During a LOCA or pump rundown scenario, the flow decay phase can frequently becharacterized by G = Go e"1701, during which time CHF will occur. The impact of the flowtransient on CHF depends strongly on the flow decay constant Ci: This permits a subdivisionof the transients into:
(i) slow transients, where the channel transit time is much smaller than the flow decay timeconstant Cl. These are mild transients, which can be considered as pseudo-steady-statecases. Here, the CHF is assumed to be unaffected by the flow transient. For normalreactor flow conditions, the core transit time is roughly about 1 sec.
(ii) fast transients where the transit time is greater than the flow decay time constant Cl.Here the CHF is expected to be affected noticeably by the transient and any effect dueto AFD is considered secondary.
As a first order approximation, it may be assumed that for 1/G (dG/dt) < 0.1 (i.e. adecay time constant Cl > 10 seconds) no effect of the transient on CHF is noticeable and theBLA heat flux (or any other methods which correctly account for upstream AFD) should beused. For a time constant Cl of 1 second or less, however, the BLA effect is no longerrelevant as it is overshadowed by transient effects. It is generally assumed that the CHF isenhanced during fast transients but no reliable predictions are available. The assumption that
= CHFsteady state for the same instantaneous local flow conditions is frequently made.
3.7.3.2. Power transients
Power transients will also accompany a LOCA. The power transient can be either in theform of a power decay , or a power spike. The easiest methodology for representing the powerchange is by employing the "Lagrangian" approach. The similarity between the variation inupstream heat flux as experienced by a fluid parcel while travelling along a non-uniformlyheated channel, and the change in heat flux experienced by a fluid particle during a powertransient can be used in evaluating the impact of a power transient on CHF [see also Chang(1989)]. If the fluid is in the annular flow regime (void fractions >60%), a methodologysimilar to the BLA approach can be used, provided that the time a fluid particle sees a changein heat flux is transformed properly into an equivalent AFD. A previous study of axial fluxspikes [Groeneveld (1975)] has shown that a BLA-type of approach can handle flux spikeswith a magnitude of 2-3 times the average heat flux.
3.8. RECOMMENDATIONS AND FINAL REMARKS
(1) Based on the arguments presented in Sections 3.4-3.6, the CHF look-up table aspresented in Appendix II is currently recommended for use as the reference predictionmethod for CHF in advanced water-cooled reactors. As an alternative for fuel bundles inwhich the rods are arranged in a triangular array, the WWER-based look-up table ofAppendix III is recommended.
(2) For new bundle geometries, and in the absence of any relevant bundle CHF data,corrections for radial and axial flux shapes should be applied to account for differencesbetween CHF values in tubes and bundle or bundle subchannels. These corrections can
42
best be obtained from a reliable subchannel code; without the complexity of asubchannel code, the method of applying correction factors based on element spacing,axial and radial flux distribution may be utilised.
(3) Supercritical water is currently being considered as a coolant medium for several Advanced WaterCooled Reactor concepts. The heat transfer characteristics of reactor cores cooled by supercritical waterneeds further investigation. Specifically the pseudo-CHF and post-CHF behaviour of supercritical waterhas received very little attention in the literature.
(4) Over 90% of the CHF literature is concerned with the prediction of initial CHF. Thereare currently no expressions for determining the average CHF or the spread of CHFavailable, even though this can be very important for predicting the thermalhydraulicand neutronic response to massive CHF occurrence during severe LOCAs. Themethodology described in Section 3.7 may be used for evaluating the average CHF orthe size of the drypatch.
(5) As shown in Figure 3.2 there exists currently a scarcity of CHF data at low flows/lowqualities and at or high flows/high qualities. In addition relatively little is known of theeffect of fast flow and power transients on CHF. Additional experiments are required toimprove our knowledge of CHF in these areas.
REFERENCES TO CHAPTER 3
ADORNI, N., et al.. 1966, Heat Transfer Crisis and Pressure Drop with Steam-WaterMixtures: Experimental Data with 7-Rod Bundles at 50 and 70 kg/cm2, CISE Report R170.
AKSAN, S.N., D'AURIA, F., FALUOMI, V., 1995, "A comparison and asessment of somechf prediction models used in thermalhydraulic systems codes", paper presented at FirstResearch Coordination Mtg on Thermalhydraulic Relationships for Advanced Water-CooledReactors, IAEA-RC-574.
BAEK, W.-P., KIM, H.-C, CHANG, S.H., 1996, An Independent Assessment of Groeneveldet al.'s 1995 CHF Look up Table, Nuclear Engineering and Design.
BECKER, K.M., FLINT A, J., NYLUND, O., 1967, "Dynamic and static burnout studies forthe full-scale Marviken fuel elements in the 8 MW Loop FRIGG" (Proceedings, Symp. onTwo-Phase Flow Dynamics, Eindhoven, Netherlands), Vol. 1, 461-474.
BELSITO, S., D'AURIA, F., 1995, Comparison of Advanced Computer Codes in theSimulation of CHF Occurrence in the PKF Facility, Report on Expert Group Meetings onCHF and Post-CHF Heat Transfer, New Orleans, IAEA-CT-2991 and 2992.
BERGLES, A.E., 1977, Burnout in boiling heat transfer. Part II: Subcooled and low qualityforced-convection systems, Nuclear Safety 18 2 154-167.
BESTION, B., 1990, The physical closure laws in the CATHARE code, Nuclear Eng. Design124 229-245.
BEZRUKOV, Y.A., ASTACHOV, V.I., SALII, L.A., 1974, "Study of CHF in rod bundles forWWER type reactors", Proc. Thermophysical Mtg TF-74, Moscow (57-66).
43
BEZRUKOV, Y.A., ASTACHOV, V.I., BRANTOV, V.G., 1976, Experimental study andstatistical analysis of CHF data for WWER type reactors, Teploenergetika 2 80-82.
BOBKOV, V.P., VINOGRADOV, V.N., ZYATNINA, O.A., KOZINA, N.V., 1995, Amethod of evaluating the critical heat flux in channels and cells of arbitrary geometries,Thermal Engineering 42 3 (221-231).
BOBKOV, V.P., VINOGRADOV, V.N., ZYATNINA, O.A., KOZINA, N.V., 1997,Considerations in describing burnout in rod bundles, Thermal Engineering 44 3 (2-7).
BOWRING, R.W., 1967, HAMBO, A Computer Programme for the Subchannel Analysis andBurnout Characteristics of Rod Clusters, Part I. General Description, UKAEA Rep. AEEW-R524.
BURCK, E., HUFSCHMIDT, W., DE CLERQ, E., 1968, Der Einfluss KuenstlicherRauhigkeiten auf die Erhoehung der Kritischen Waermestromdichte von Wasser inRingspalten bei erzweigener Konvektion, EUR 4040d.
CARVER, M.B., KITELEY, J.C., ZHOU, R.Q.N., JUNOP, S.V., 1993, Validation ofASSERT Subchannel Code for Standard and Non-Standard Geometries, ARD-TD-454P,2nd Int. Seminar on Subchannel Analysis, EPRI, Palo Alto.
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DOERFFER, S., GROENEVELD, D.C., SCHENK, J.R., 1996, "Experimental study of theeffects of flow inserts on heat transfer and critical heat flux", (Proc. 4th Int. Conf. on NuclearEngineering, New Orleans, Vol. 1 — Part A (41^9).
DOROSHCHUK, V.E., LEVITAN, L.L., LANTZMAN, F.P., Investigation into Burnout inUniformly Heated Tubes, ASME Publication 75-WA/HT-22.
44
DURANT, W.S., TO WELL, R.H., MIRSHAK, S., 1965, "Improvement of Heat Transfer toWater Flowing in an Annulus by Roughening the Heated Wall", Chem. Engrg. ProgressSymposium Series 6 60 106-113.
FALUOMI, V., AKSAN, S.N., 1997, "Analysis and assessment of some selected CHFmodels as used in Relap5/Mod3 code", (Proceedings Fifth Int. Conf. on Nuclear Engineering(ICONE 5), Nice, France).
GASPARI, G.P., HASSID, A., VANOLI, G., 1969, "An experimental investigation on theinfluence of radial power distribution on critical heat flux in a nuclear rod cluster", (Proc.European Two-Phase Flow Group Mtg, Karlsruhe).
GASPARI, G.P., et al , 1968, Heat Transfer Crisis and Pressure Drop with Steam WaterMixtures: Further Experimental Data with Seven Rod Bundles, CISE Rep. R-208.
GROENEVELD, D.C., et al., 1996, The 1996 look-up table for critical heat flux in tubes,Nuclear Eng. Design 163 1-23.
GROENEVELD, D.C., 1996, On the definition of critical heat flux margin, Nuclear Eng.Design 163 245-247.
GROENEVELD, D.C., LEUNG, L.K.H., 1989, "Tabular approach to predicting critical heatflux and post-dryout heat transfer", Proc.Thermalhydraulics, Karlsruhe), Vol 1, 109-114.flux and post-dryout heat transfer", Proc. 4th Int. Top. Mtg on Nuclear Reactors
GROENEVELD, D.C., YOUSEF, W.W., 1980, "Spacing devices for nuclear fuel bundles: Asurvey of their effect on CHF, post-CHF heat transfer and pressure drop", (Proc.ANS/ASME/NRC Int. Top. Mtg on Nuclear Reactor Thermal-Hydraulics, Saratoga Springs),NUREG/CP-0014, Vol. 2,1111-1130.
GROENEVELD, D.C., 1975, The Effect of Short Flux Spikes on the Dryout Power", AtomicEnergy of Canada Ltd Rep. AECL-4927.
GROENEVELD, D.C., 1974, "The occurrence of upstream dryout in uniformly heatedchannels", (Proc. Fifth Int. Heat Transfer Conf.), Vol. IV (265-269).
GROENEVELD, D.C., 1972, The Thermal Behaviour of a Heated Surface at and BeyondDryout", Atomic Energy of Canada Ltd Rep. AECL-4309.
GROENEVELD, D.C., SNOEK, C.W., 1986, "A comprehensive examination of heat transfercorrelations suitable for reactor safety analysis", Multiphase Science and Technology,Volume II (181-274).
GROENEVELD, D.C., et al., 1986a, "Analytical and experimental studies in support of fuelchannel critical power improvements", Proc. Canadian Nuclear Society Annual Mtg, Toronto.
GROENEVELD, D.C., et al., 1992, "CHF fluid-to-fluid modelling studies in threelaboratories using different modelling fluids", (Proc. NURETH-5, Salt Lake City), Vol. 2,531-538.
45
HERON, R.A., et al., 1969, Burnout Power and Pressure Drop Measurements on 12-ft., 7-rodClusters Cooled by Freon-12 at Ispra, UKAEA Rep. AEEW-R655.
HETSRONI, G., 1982, "Handbook of multiphase systems", Hemisphere, McGraw-Hill.
HEWITT, G.F., HALL-TAYLOR, N.S., 1970, Annular Two-Phase Flow, Pergamon Press,Oxford.
HEWITT, G.F., KEARSEY, H.A., LACEY, P.M.C., PULLING, D.J., 1963, Burn-Out andNucleation in Climbing Film Flow, UKAEA Rep. AERE-R437.
HSU, Y.Y., GRAHAM, R.W., 1976, Transport Processes in Boiling and Two Phase Systems,McGraw-Hill.
HUGHES, E.D., et al., 1974, A compilation of rod array critical heat flux data sources andinformation", Nuclear Engrg. & Design 30 20-35.
JENSEN, A., MENNOV, G., 1974, Measurement of Burnout, Film Flow and Pressure Dropin a Concentric Annulus 3500 x 26 x 17 mm With a Heated Rod and Tube, European Two-Phase Flow Group Meeting, Harwell, UK.
KATTO, Y., 1994, Critical heat flux, Int. J Multiphase Flow 20 (53-90).
KIRILLOV, P.L., YUSHENKO, S.S., 1996, "Diameter effect on CHF", Second ResearchCoordination Meeting, IAEA Coordinated Research Program on ThermalhydraulicRelationships for Advanced Water-Cooled Reactors, Vienna, Austria.
KIRILLOV, P.L., BOBKOV., V.P., SMOGALEV, I.P., VINOGRADOV, V.N., 1996,Prediction of Critical Heat Flux in Channels Relevant to Water Cooled Reactors, IAEAContract 8219R1.
KIRILLOV, P.L., BOBKOV. V.P., 1997, Working Material Related to the WWER-typeBundle CHF Look-up Table, Presented at the Third Research Coordination Meeting,Coordinated Research Program on Thermalhydraulic Relationships for AdvancedWater-Cooled Reactors, Obninsk, Russia.
KITELEY, J.C., CARVER, M.B., LINER, Y., BROMLEY, B.P., MCCRACKEN, I.K., 1991,"ASSERT-FV thermalhydraulics subchannel analysis code simulation of dryout power andpressure drop in a horizontal 37-rod bundle fuel channel including the effect of pressure tubecreep", Proc. 16th Annual CNA Nuclear Simulation Symp. St. John, New Brunswick.
KRUZHILIN, G.N., 1949, Experimental data on heat transfer boiling at natural convection",Izvestiya Akademii Nauk SSSR, Otdel Technik. Nauk 5 (701-702).
KUNSEMILLER, D.F., 1965, Multi-Rod, Forced Flow Transition and Film BoilingMeasurements, General Electric Rep. GEAP-5073.
KUTATELADZE, S.S., 1952, Heat Transfer in Boiling and Condensation, USAEC Rep.AEC-tr-3770.
46
KUTATELADZE, S.S., BORISHANSKII, V.M., 1966, A Concise Encyclopedia of HeatTransfer, Pergamon Press.
KYMALAINEN, O., et al , 1993, "Heat flux distribution from a volumetrically heated poolwith high Rayleigh number", (Proc. NURETH-6 Conf. Grenoble), Vol. 1 (47-53).
LAHEY, R.T., GONZALEZ-SANTOLO, J.M., 1977, "The effect of non-uniform axial heatflux on critical power", Paper C219/77 presented at the Inst. of Mech. Engineers Conf. onHeat and Fluid Flow in Water Reactor Safety, Manchester.
LAHEY, R.T., Jr., MOODY, F.J., 1977, The Thermal Hydraulics of a Boiling Water NuclearReactor, ANS Monograph.
LIN, W., LEE, C.H., PEI, B.S., 1989, An improved theoretical critical heat flux model forlow quality flow", Nuclear Technol. 88 (294-306).
LEE, D.H., OBERTELLI, J.D., 1963, An Experimental Investigation of Forced ConvectionBoiling in High Pressure Water, UKAEA Rep. AEEW-R213.
LEUNG, L.K.H., 1997, AECL Report.
MACEK, J., 1998, Private Communication.
MCPHERSON, G.D., 1971, The Use of the Enthalpy Imbalance Number in Evaluating theDryout Performance of Fuel Bundles, AECL Rep. AECL-3968.
NORMAN, W.S., MCINTYRE, V., 1960, Heat transfer and liquid film on a vertical surface,Trans. Inst. Chem. Engineers 38 301-307.
PARK, H., DHIR, V. K., et al., 1994, Effect of external cooling on the thermal behavior of aboiling water reactor vessel lower head, Nuclear Technol. V. 108 2 266-282.
POLOMIK, E.E., 1967, Transition Boiling, Heat Transfer Program, Final Summary Report onProgram for Feb. 63-Oct. 67, General Electric Report GFAP-5563.
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SCHENK, J.R., GROENEVELD, D.C., 1990, "Measurement of thermalhydraulic parametersinside multi-element bundles", Proc. Int. Symp. on Multi-Phase Flow, Miami.
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47
TAITEL, Y., DUKLER, A.E., 1975, A Model for Predicting Flow Regime Transitions inHorizontal and Near Horizontal Gas/Liquid Flow, ASME 750WA/HT829 (1975); AIChE J.22(1976)47855.
TIPPETS, F.E., 1962, "Critical Heat Fluxes and Flow Patterns in High Pressure Boiling WaterFlows", ASME Paper 62-WA-162 presented at the Winter Annual Meeting of the ASME,New York.
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TONG, L.S., WEISMAN, J., 1996, Thermal Analysis of Pressurized Water Reactors, ThirdEdn, American Nuclear Society.
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TO WELL, R.H., 1965, Effect of Spacing on Heat Transfer Burnout in Rod Bundles, ReportDP-1013.
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48
Chapter 4
GENERAL FILM BOILING HEAT TRANSFER PREDICTION METHODS FORADVANCED WATER COOLED REACTORS
NOMENCLATURE
ACp
CDdFGgh1NuPPrqRerSTtVXxa
GREEK SYMBOLS
area of surfacespecific heatconcentrationhydraulic diameterdrop diameterempirical functionmass fluxacceleration of gravityenthalpylengthNusselt numberpressurePrandtl numberheat fluxReynolds numberlatent heat of evaporationvelocity slip ratio; pitch of rod bundlestemperaturetimespecific volumemass qualityactual quality
n J- min
asX
xc
Pa^ 0
0
perimeterA 1 m j n 1 min 1 s
heat transfer coefficientemissivitythermal conductivitycritical wave lengthvoid fractiondynamic viscositydensitysurface tensionStefan-Boltzman constantinclination angle in degrees
49
SUBSCRIPTS
accr, CHFefgh£minQsstsubtotTBV
vdwwvwd
actualcriticalcritical heat fluxequilibriumfront of wettinggas (vapour)hydraulic; heatliquidminimumquenchsaturationstabilisationsubcooledtotaltransition boilingvapourvapour-to-dropwallwall-to-vapourwall-to-drop
ABREVIATIONS
AWCRCHFCRPDFFBECCIAFBLOCALWRMFBTMHFPDOQFRCM
advanced water cooled reactorcritical heat fluxcoordinating research projectdispersed film flow boilingemergency cooling of coreinverted annular film boilingloss of coolant accidentlight water reactorminimum film boiling temperatureminimum heat fluxpost-dryout heat transferquench frontresearch coordination meeting
4.1. INTRODUCTION
Post-CHF (or post-dryout) heat transfer is encountered when the surface temperaturebecomes too high to maintain a continuous liquid contact, and the surface becomes covered by acontinuous or intermittent vapour blanket. Post-CHF heat transfer includes transition boiling,where intermittent wetting of the heated surface takes place, and film boiling, where the heated
50
surface is too hot to permit liquid contact. The boundary between these post-CHF heat transfermodes is the minimum film boiling temperature, or TMFB. Due to the poor heat transportproperties of the vapour, high heated surface temperatures are often encountered during filmboiling.
Although nuclear reactors normally operate at conditions where dryout does not occur,accidents can be postulated where dryout occurrence is possible. The most serious of thepostulated accidents is thought to be the loss-of-coolant accident (LOCA) caused by a rupture inthe primary coolant system. Accurate prediction of the consequences of a LOCA requiresprecise calculation of foel-coolant heat transfer during (i) the blowdown phase (when the fuelchannel is voided), and (ii) the subsequent emergency-core-cooling (ECC) phase. Although thetime-in-dryout may be short, nevertheless this interval, when the primary mode of heat transferis film boiling, can be of crucial importance in maintaining core integrity.
The post-CHF cladding temperature can be predicted from empirical correlations or fromtheoretical models. Since theoretical models are rather complex and the physical mechanismson which they are based are not yet fully understood, predictions are usually based on empiricalcorrelations. The main three methodologies considered by IPPE, AECL and CIAE have beenpresented in this chapter.
Film boiling heat transfer has been extensively investigated during the past 30 years.Excellent reviews may be found in text books by Tong (1965), Collier (1980), Delhaye et al.(1981), Stryikovitch et al. (1982), a handbook by Hetsroni (1982), and articles by Ganic et al.(1977), Mayinger (1978), Tong (1978), Sergeev (1978, 1987), Groeneveld and Snoek (1986),Groeneveld (1992), Yadigaroglu (1989), Sakurai (1990a), Andreoni and Yadigaroglu (1994)and in the proceedings of the 1st International Symposium on Fundamental Aspects of Post-CHF Heat Transfer (1984).
The objective of this chapter is to review and recommend film boiling predictionmethods suitable for the assessment of LOCAs and other disruptive accidents in AWCRs andfor implementation into systems codes such as RELAP, CATHARE, and CATHENA, as wellas subchannel codes such as COBRA, ASSERT, and MIF. The requirements for thisprediction method have been discussed in more detail in CRP RCM meetings and expertmeetings.
This chapter is subdivided as follows:
(i) Section 4.2 discusses the mechanisms of the post-CHF heat transfer;
(ii) Section 4.3 describes the film boiling data base in tubes and rod bundles;
(iii) Section 4.4 provides an overview of the prediction methodology for film boiling heattransfer;
(iv) Section 4.5 presents the recommended prediction methods for film boiling heat transfer;
(v) Section 4.6 discusses the film boiling prediction methodologies used in reactor safetycodes; and
(vi) Section 4.7 provides final remarks related to the use of film boiling prediction methodsin the thermal analysis of advanced water cooled reactors.
51
4.2. DESCRIPTION OF POST-CHF PHENOMENA
4.2.1. General
Post-CHF heat transfer is encountered when the surface temperature becomes too high tomaintain a continuous liquid contact. As a result the heated surface becomes covered by acontinuous vapour blanket as is the case in the film boiling regime, or an intermittent vapourblanket, as is the case in the transition boiling regime. The boundary between these post-CHFheat transfer modes is the minimum film boiling temperature, or TMFB .
Post-CHF heat transfer is initiated as soon as the critical heat flux condition isexceeded; it persists until quenching or rewetting of the surface occurs. Depending on theparticular scenario and flow conditions present, various heat transfer modes of the boilingcurve of Fig. 4.1 may be distributed along a heated surface, or a series of heat transfer modescan succeed each other in time at the same location as is the case during transients.
uX
M3
qCHF
*• Posf-CHF flegfon
Onset of ONB
Crftica! HeatTransition when
Flux Increasing
*" '"•^Intcrmedia-fe Fittn Boiling RegfonFilm Boiling \ ^Minimum Heat Flux Film 8oili'ng Region
I Tronsition whenj Heat Flux Decreasingi
Surface Temperature - Saturation Temperature
FIG. 4.1. Typical boiling curve.
The occurrence of film boiling depends on surface temperature and flow conditions.Figure 4.2 is a three-dimensional representation of the variation of the heat flux with walltemperature and quality at constant mass flux and pressure, the so-called boiling surfaceconcept described by Nelson (1975) and Collier (1980). The flow quality introduces a thirddimension to the problem that was not present in pool boiling. This 3-D boiling surface ormap shows the nucleate, transition and film boiling surfaces (regimes) as well as the criticaland minimum heat flux lines for a given pressure and mass flux.
52
FIG. 4.2. The boiling surface [Nelson, 1975].
The post-CHF heat transfer modes in flow boiling can be classified as:
(i) transition boiling (also referred to as "sputtering");(ii) inverted-annular film boiling (IAFB) associated with subcooled or low quality flow; and(iii) dispersed-flow film boiling (DFFB) associated with intermediate and high quality flow.
In the following sections concise descriptions of the mechanisms controlling these post-CHF heat transfer regimes will be presented.
4.2.2. Transition boiling
As the name implies, transition boiling is an intermediate boiling region. Berenson (1962)has provided a concise description of the transition boiling mechanism: Transition boiling is acombination of unstable film boiling and unstable nucleate boiling alternately existing at anygiven location on a heating surface. The variation in heat transfer rate with temperature isprimarily a result of a change in the fraction of time each boiling regime exists at a givenlocation.
53
Quench flegion \
Low flooding rate
Forced convectionto vapor
0
°o * !Quenchregion
High flooding rate
FIG. 4.3. Post-CHF reflooding heat transfer modes [Yadigaroglu, 1978]
rv 1 ^ ? f § feCtl°n ° f t h e b 0 i l i n g c u r v e i s b o u n d e d by t h e critical heat flux(Fig. 4.3) and the minimum heat flux. The critical heat flux has been extensively studied andcan be predicted by a variety of correlations. The minimum heat flux has undergone less
^Zi^^^^^^r fluid—d J
™rf i f SUrfaC!, temfratureu
S " 6XCeSS ° f t h e C H F t e m P e r a toe , the heated surface will bepartially covered with unstable vapour patches, varying with space and time. Ellion (1954)studied forced convective transition boiling in subcooled water and observed frequenrep acement of vapour patches by liquid. Although this may seem similar to transition poolboi ing as described above, the introduction of the convective component will improve the filmboiling component by reducing the vapour film thickness and changing the heat transfer modewhether dry or wet, from free convection to forced convection. This will result in an mcreTeTnqmin and also can increase ATfflfb (if ATmfb is hydrodynamically controlled). For low qualities andsubcooled conditions the slope of the transition boiling is always negative, just i i n T i
54
The amount of heat transfer in the transition boiling region is primarily governed byliquid-solid contact. At the critical heat flux point the contact-area (or time) fraction F is closeto unity and, therefore, the liquid contact heat flux q^ is close to the CHF. The value of F
strongly decreases with increasing wall temperature, hi the high quality region for example,most of the heat transferred during transition boiling will be due to droplet-wall interaction.Initially, at surface temperatures just in excess of the boiling crisis temperature, a significantfraction of the droplets will deposit on the heated surface but at higher wall superheats thevapour repulsion forces become significant in repelling most of the droplets before they cancontact the heated surface. The repelled droplets will contribute to the heat transfer bydisturbing the boundary layer sufficiently to enhance the heat transfer to the vapour.
The periodic contacts between liquid and heated surface in the transition boiling regionof the boiling curve result in the formation of both large amounts of vapour, which forcesliquid away from the surface, and creates an unstable vapour film or blanket. Because of this,the surface heat flux and the surface temperature can experience variations both with time,and position on a heater. However, the average heat transfer coefficient decreases as thetemperature increases, because the time of contact between the liquid and the heater surface isdecreased.
To gain a better understanding of the transition boiling mechanism, the phenomenaoccurring at the interface between fluid and a heated surface (i.e. the mechanism of fluid-solidcontact including the frequency of this contact; heat transfer in the contact areas; time historyof such contact) need to be considered. Comprehensive reviews of these phenomena havebeen presented by Kalinin et al. (1987) and Auracher (1987, 1990).
Transition boiling has received less attention than nucleate or film boiling. Only inrecent years has the interest in this boiling regime increased because of its potentialimportance during a LOCA in a nuclear reactors. Overviews of the mechanisms andprediction methods for transition boiling have been provided by Bankoff and Mehra (1962),Groeneveld and Fung (1976), Auracher (1987, 1990), Winterton (1982), Groeneveld andSnoek (1986) and Johannsen (1991).
4.2.3. Minimum film boiling temperature
The minimum film boiling temperature (TMFB) separates the high temperature regionwhere inefficient film boiling or vapour cooling takes place, from the lower-temperature region,where much more efficient transition boiling occurs. It thus provides a limit to the application oftransition boiling and film boiling correlations. Knowledge of the minimum film boilingtemperature is particularly important in reactor safety assessments.
A large number of terms have been used for the minimum film boiling temperature orTMFB- They include rewetting temperature, quench temperature, Leidenfrost temperature, filmboiling collapse temperature and others.
During quenching of a surface (such as emergency core cooling), rewetting commences atthe minimum film boiling temperature and, as a rule, rapidly proceeds until nucleate boiling isestablished at a much lower wall temperature. Predicting the minimum film boiling temperatureas a function of the system parameters is thus very important since heat transfer coefficients on
55
either side of the minimum film boiling temperature can differ by orders of magnitude.Generally, TMFB is defined as the temperature at the minimum heat flux.
The TMFB also represents a temperature boundary beyond which surface properties andsurface conditions generally do not affect the heat transfer. Wettability or contact anglealthough important in nucleate and transition boiling, are not applicable in the film boilingregime, and conduction along the surface becomes less important when nucleate and filmboiling no longer occur side-by-side.
Two theories have been proposed for the analytical prediction of the minimum filmboiling temperature. One theory says that the minimum temperature is a thermodynamicproperty of the fluid (i.e. maximum liquid temperature) and thus is primarily a function ofpressure. The other theory suggests that rewetting commences due to hydrodynamic instabilitieswhich depend on the velocities, densities, and viscosities of both phases as well as the surfacetension at the liquid-vapour interface. During fast transitions, where insufficient time isavailable to fully develop the hydrodynamic forces, rewetting is expected to bethermodynamically controlled while for low flows and low pressures, where sufficient time isavailable and the volumetric expansion of the fluid near the wall is large, rewetting is morelikely to be hydrodynamically controlled. Once rewetting has occurred locally, the rewettingfront can then propagate at a rate which is primarily controlled by axial conduction. Thesetheories can be modified to include the thermal properties of the surface.
There is no general consensus on the effect of the various system parameters on theminimum film boiling temperature under forced convective conditions. These effects areincluded in correlations for the minimum temperature which have been tabulated by Groeneveldand Snoek (1986).
4.2.4. Flow film boiling
4.2.4.1. General
Film boiling is generally defined as that mode of boiling heat transfer where only thevapour phase is in contact with the heated surface. The term film boiling was originallyapplied to pool boiling where the stagnant liquid was separated from the heated surface by avapour film. The term has been used in forced convective boiling to refer to conditions wherethe liquid does not contact the heated surface but is usually in one of the following forms:
(i) a dispersed spray of droplets, normally encountered at void fractions in excess of 80%(liquid-deficient or dispersed flow film boiling regime);
(ii) a continuous liquid core (surrounded by a vapour annulus which may contain entraineddroplets) usually encountered at void fractions below 40% (inverted annular filmboiling or IAFB regime); or
(iii) a transition between the above two cases, which can be in the form of an inverted slugflow for low to medium flow.
Figure 4.3 illustrates the above flow regimes. Of these, the dispersed flow film boiling(DFFB) regime is most commonly encountered and has been well studied. Its heated surfacetemperature is moderate while in the inverted annular and the inverted slug flow regimes,excessive surface temperatures are frequently encountered.
56
Radiation heat transfer, although unimportant in transition boiling, becomesincreasingly important in film boiling, particularly at low flows, low void fractions andsurface temperatures in excess of 700°C.
The main parameters controlling the film boiling heat transfer are: pressure, equilibriumquality (or subcooling), and mass flux. At low flows, strong non-equilibrium effects can bepresent which will need to be considered. In addition at locations just downstream of (or "justsubsequent to" during fast transients) the CHF or quench occurrence, upstream/history effectsare important. These effects frequently are not included in film boiling models [see alsoGottula et al. (1985); Shiralkar et al. (1980); Kirillov et al. (1982)].
Due to the high surface temperatures frequently encountered during film boiling withwater, studies using cryogenic and refrigerant fluids and pool boiling studies have beenextensively employed to improve our understanding of film boiling and to extract parametrictrends and derive correlations.
Reviews of the film boiling literature have been prepared separately for the higherquality DFFB regime [Mayinger (1978); Collier (1981); Groeneveld (1975a & 1977);Andreoni and Yadigaroglu (1994)]; the IAFB regime [Groeneveld (1984, 1992); Andreoniand Yadigaroglu (1974)] and for pool film boiling [Hsu (1972); Kalinin (1987)].
4.2.4.2. Inverted annular film boiling
IAFB refers to the film boiling type characterized by a vapour layer separating thecontinuous liquid core from the heated surface. Figure 4.3 (RHS) shows schematically thephase distribution during IAFB. IAFB resembles pool film boiling superficially, but the actualheat transfer mechanisms are considerably more complex.
In the inverted annular flow regime few entrained droplets are present while the bulk ofthe liquid is in the form of a continuous liquid core which may contain entrained bubbles. Atdryout the continuous liquid core becomes separated from the wall by a low viscosity vapourlayer which can accommodate steep velocity gradients. However, the velocity distributionacross the liquid core is fairly uniform. Once a stable vapour blanket has formed, the heat istransferred from the wall to the vapour and subsequently from the vapour to the wavy liquidcore. Initially, for very thin vapour films, heat transfer from the wall to the liquid is primarilyby conduction across a laminar vapour film. When the vapour film thickness increases,turbulent flow will occur in the film, and the liquid-vapour interface becomes agitated. Heattransfer across the wavy vapour-liquid interface takes place by forced convection. This modeof heat transfer is much more efficient than the single-phase convective heat transfer betweena smooth wall and the vapour; hence it is assumed that the bulk of the vapour is at or close tothe liquid core temperature (i.e. saturation temperature). The low-viscosity, low-densityvapour-flow experiences a higher acceleration than the dense core flow. This results in anincreased velocity differential across the interface which may lead to liquid entrainment fromthe wavy interface. It may also lead to more interaction of the liquid core with the heatedsurface through dry collisions and will increase the turbulence level in the vapour annulus.The resulting increase in wall-vapour and wall-core heat transfer will lower the walltemperature; if the wall temperature drops below the minimum film boiling temperaturerewetting may occur. Rewetting can also occur at higher temperatures if it is caused by apropagating rewetting front.
57
Modeling of IAFB requires proper relationships for the interfacial heat and momentumtransfer between the superheated vapour blanket and the subcooled or saturated liquid core.The net interfacial heat transfer determines the rate of vapour generation and, therefore, thefilm thickness.
The heat transfer process in IAFB can be considered by the following heat fluxcomponents:
(i) convective heat transfer from the wall to vapor (qW; v);(ii) radiation heat transfer from the wall to liquid (qrad);(iii) heat transfer from vapor to the vapor-liquid interface (qv, 0;(iv) heat transfer from the vapor-liquid interface to the liquid core (qi, i).
In the case of subcooled film boiling, the last heat flux component is used for bothvaporization and reducing liquid subcooling. For saturated liquid, qy is used only forvaporization, thus increasing the vapor film thickness more rapidly.
A significant increase in heat transfer coefficient with an increase in liquid subcoolinghas generally been observed in pool film boiling and flow film boiling [e.g. see Groeneveld(1992)]. The effect of subcooling on the film boiling heat transfer coefficient may beexplained as follows: heat is transferred primarily by conduction across a thin vapour film tothe interface (convection and radiation may also be significant). Here a fraction of the heatreceived is used for heating up the liquid core, while the remainder is used for evaporation.Higher subcoolings results in less evaporation, and hence a thinner vapour film, whichconsequently increases the heat transfer coefficient h. During tests on heated bodies immersedin water, Bradfield (1967) observed that subcooled film boiling with subcoolings less than35°C resulted in a calmer interface with a wavelike motion compared to saturated boiling.Most experimental studies show an increase in h with an increase in Xe at the high massvelocities (G > 1000 kg/m2s at P > 6 MPa [Stewart (1981); Laperriere and Groeneveld(1984)] and G > 100 kg/m2s at P = 0.1 MPa, [Fung (1981)]) although at times this increase inh may not be evident near zero qualities. At lower mass velocities, a decrease in h (=qw/(Tw-Ts)) with an increase in Xe is frequently observed. The above effect is due to the gradualthickening of the vapour film with increasing Xe. This will increase the resistance toconduction heat transfer which may still be dominant at low G and Xe values. It also increasesthe convective heat transfer coefficient, defined as hc = q/(Tw-Tv). Since at low flows thevapour temperature Tv may rise significantly above saturation, the Tw may still increasedespite the increase in hc. At high mass velocities (G > 2000 kgm^s"1) Tv is usually nearsaturation and h generally increases with Xe. With an increase in quality or void fraction theIAFB regime breaks up at void fraction of about 30-60% and the transition to the DFFBregime occurs.
The recent reviews on IAFB published by Groeneveld (1992), Johannsen (1991) andHammouda (1996) include description or tabulations of new or modified models for IAFBheat transfer related to reflood heat transfer of water-cooled nuclear reactors. These reviewsare based on publications by Analytis et al. (1987), Klyugel et al. (1986), Mosaad (1986), Hsuet al. (1986), Wang et al (1987,1988), Yan (1987), and Lee et al. (1987).
4.2.4.3. Slug flow film bo iling
Slug flow film boiling is usually encountered at low flows and void fractions which aretoo high to maintain inverted annular film boiling but too low to maintain dispersed flow film
58
boiling. In tubes, it is formed just downstream of the inverted annular flow regime when theliquid core breaks up into slugs of liquid in a vapour matrix. The prediction of the occurrenceof slug flow during bottom flooding ECC is important because of the change in heat transferrate long before the arrival of the quench front.
Several theories for the break-up of the IAFB regime have been proposed. Data of Chi(1967) suggest that the liquid core will break up into slugs which are equal in length to themost unstable wavelength of interfacial waves. Subcooling tends to stabilize the liquid-vapourinterface, and thus inhibits the formation of slug flow. Smith (1976) assumes the location ofslug flow to correspond to the point of minimum heat transfer coefficient in the film boilingregion. In doing so, he is suggesting that if the vapour velocity is high enough to break up theliquid core, then it is also high enough to considerably improve the heat transfer coefficient.Kalinin (1969) observed another possible mechanism for the onset of slug flow in transienttests. Immediately after the introduction of liquid to their test section, the sudden increase invoid due to vapour generation at the leading edge of the liquid caused a back pressure whichdecelerated the flow. The higher pressure and lower flow rate caused a decrease invaporization and the flow surges forward. The cycle was repetitive with a liquid slugseparating from the liquid core with each cycle.
4.2.4.4. Dispersed flow film boiling (DFFB)
The DFFB regime is characterized by the existence of discrete liquid drops entrained ina continuous vapor flow. This flow regime may be defined as dispersed flow film boiling,liquid deficient heat transfer, or mist flow. It is of importance in nuclear reactor cores for off-normal conditions such as the blowdown or ECCS phase of a LOCA, as well as in steamgenerators.
The DFFB regime usually occurs at void fractions in excess of 40%. No exact lower-bound value for the onset of DFFB is available as the transition from IAFB or slug flow filmboiling is likely to be gradual. According to Levitan and Borevskiy (1989), the beginning ofthe dispersed regime is determined by the following correlation
l/3
where
Xad represents the onset of annular dispersed flow.
In the DFFB regime the vapour temperature is controlled by wall-vapour and vapour-droplet heat exchange. Due to the low superheat of the vapour near the dryout location orrewetting front the vapour droplet heat exchange is small and most of the heat transferred fromthe wall is used for superheating the vapour. At distances further downstream, however, an"equilibrium" vapour superheat can be reached, i.e. the amount of heat transferred from the wallto the vapour may approximately balance the amount of heat absorbed by the droplets (from thevapour) and used for evaporation of the droplets.
59
Near the heated surface the heat exchange between vapour and droplets is enhanced dueto the temperature in the thermal boundary layer being well above that of the vapour core[Cumo and Farello (1967)]. If the temperature of the heated surface is below the minimumtemperature, some wetting of the wall may occur resulting in an appreciable fraction of thedroplets being evaporated [Wachters (1965)]. At temperatures above the minimum temperatureonly dry collisions can take place (collisions where a vapour blanket is always present betweensurface and droplet). Little heat transfer takes place to small droplets which resist deformationand bounce back soon following a dry collision [Wachters (1965); Bennett et al. (1967)].However, the dry collisions disturb the boundary layer thus improving the wall-vapour heattransfer. Larger droplets are much more deformable and tend to spread considerably thusimproving both the wall-vapour and vapour-droplet heat exchange [Cumo and Farello (1967);Wachters (1965)]. This spreading may lead to a breakup into many smaller droplets if theimpact velocity is sufficiently high [McGinnis and Holman (1969)]. The vapour film thicknessseparating the stagnated droplets from the heated surface is difficult to estimate but must begreater than the mean free path of the vapour molecules in order to physically separate theliquid from the heated surface.
Attempts to evaluate the direct heat flux to the droplets due to interaction with the heatedsurface have resulted in the postulation of many simplifying assumptions, e.g. Bailey (1972),Groeneveld (1972), Plummer et al. (1976). These assumptions may be questionable whenapplied to liquid deficient cooling. However, due to lack of direct measurement of droplet-wallinteraction during forced-convective film boiling conditions no other approach can be taken.
The heat flux encountered during DFFB can be partitioned as follows:
(i) Heat transfer from wall to liquid droplets which reach the thermal boundary layerwithout wetting the wall (dry collisions) — qWdd;
(ii) Heat transfer from wall to liquid droplets which temporarily wet wall (wet collisions) —Iwdwj
(iii) Convective heat transfer from wall to vapor — q^;(iv) Convective heat transfer from steam to droplets in the vapor core — qvd;(v) Radiation heat transfer from wall to liquid droplets — qra(i;(vi) Radiation heat transfer from wall to vapor — qrad.
The most important unknown in DFFB is the thermal non-equilibrium or vapoursuperheat. The vapour superheat increases with heat flux (its main driving force) anddecreases with interfacial area and interfacial drag. Both the interfacial area and the interfacialdrag are dependent hydrodynamic parameters controlled by the dynamics of interfacial shear,droplet generation, break-up, and coalescence mechanisms, and evaporation history. There arebasic difficulties in determining experimentally important parameters such as the interfacialdrag coefficient. Since the spectrum of droplet sizes may vary from case to case, and theclosure laws depend on droplet diameter, the formulation of universally valid closure laws isdifficult. This has been investigated in more detail analytically and experimentally byAndreoni and Yadigaroglu (1991, 1991a, 1992), and Kirillov and Smogalev (1973).
4.3. FILM BOILING DATA BASE
4.3.1. General
Because of the importance of film boiling heat transfer and reactor accident analysis,there has been a significant interest in providing a good film boiling data base for reactor
60
conditions of interest. The high CHF and generally low heat transfer coefficients in film boilingresults in high surface temperatures and this restricts the range of conditions at whichmeasurements are feasible under steady state conditions. Hence many of the earlierexperimental data were obtained in cryogenics and refrigerants, in temperature controlledsystems [Smith (1976); Ellion (1954)] or from transient tests [Newbold et al. (1976); Cheng andNg (1976); Fung (1977)]. However, a novel approach has been developed at Chalk River forobtaining subcooled film boiling data [Groeneveld and Gardiner (1978)]. Using the so-calledhot-patch technique steady-state subcooled and low-quality film boiling data can be obtained ina heat flux controlled system at heat flux levels well below the CHF. This approach haspermitted a much more extensive study of film boiling especially at IAFB conditions [e.g.Stewart (1981); Fung (1981); LaPerriere and Groeneveld (1984); Gottula et al. (1985);Johannsen(1991)].
4.3.2. Tube and annuli
Tables 4.1 and 4.2 summarize the test conditions of film boiling data obtained in tubesand annuli, respectively. Although the coverage is extensive, there is still a scarcity of filmboiling data at low pressures and low flows. Recent data obtained by CIAE have helped toresolve this lack of data [Chen and Chen (1998)].
4.3.3. Bundle
Table 4.3 summarizes the film boiling data available for rod bundles. Many otherbundle data have been obtained but these are inaccessible because of their potentialcommercial value and because of licensing concerns. The film boiling bundle data base ismore limited than the CHF bundle data base because of the higher temperatures which makestesting much more difficult. The hot patch approach, used successfully in tubes, cannot beused in bundles and this further restricts this data base.
4.4. OVERVIEW OF FILM BOILING PREDICTION METHODS
4.4.1. General
Accurate prediction of the wall temperature in the film boiling regime is of vitalimportance in accident analysis of the core and steam generators of advanced water cooledreactors. The following four methods for estimating the film boiling heat transfer arecommonly used:
(i) Semi-theoretical equations for pool film boiling (Section 4.4.2);(ii) Semi-theoretical models to predict flow film boiling. They are based on the appropriate
constitutive equations, some of which are empirical in nature;(iii) Purely empirical correlations for flow film boiling, which do not account for any of the
physics, but instead assume a forced convective type correlation;(iv) Phenomenological equations for flow film boiling, which account for the thermal non-
equilibrium and attempt to predict the "true" vapour quality and the vapour temperature.
Because of the proliferation of film boiling prediction methods (there are currently over20 film boiling models available and well over 50 correlations) tabular methods have recentlybeen proposed. Tabular methods are well accepted for the prediction of CHF and are basedmore closely on experimental data. They will be discussed in Section 4.4.5.
61
ON
TABLE 4.1. EXPERIMENTAL DATA ON FILM BOILING IN TUBES
Year
1950
1960
19611961
1961
19631964
1965
1967
1967
1967
1967
1967
1969
1969
19701971
Reference
Me Adams
Hemann
CollierParker
Swenson
MiropolskiyBertoletti
Bishop et al.
Bennett et al.
Era et al.
Herkenrath et al.
Mueller
Polomik
Brevi
Kutcukcuoglu
LeeKeeys
P,MPa
0.8-24
2.1 - 10.3
0.1-7.40.2
20.7
3.9-21.67
16.6-21.5
6.89
6.89 - 7.28
14 - 20.5
6.9
6.9
5
1-3.3
14-186.9
G,kg/m2s
70 - 230
190 - 1070
580-138050-100
949 - 1356
398-21001000-4000
2000 - 3377
380-5180
1090-3020
693 - 3556
700 - 1000
700-1350
470 - 3000
1000-4000700-4100
d,mm
3.3
2.5 - 8.4
4.3-6125.4
14
85; 9
2.5-5.1
12.6
6
10-20
15.7
15.7
6.5; 9.3
7-14
12.7
Lm
0.5
1.5
9; 13
X
0.89-1.0
0.08-0.98
-2.43-3.420.4 - 0.90
0.07-0.91
0.229-1.48
0.456-1.24
-0.117-1.32
0.62-1.0
0.8-1.0
0.40-1.0
0.3 - 0.70.15-0.90
MW/m2
0.03 - 0.54
0.16-0.92
0.16-0.410.01-0.06
0.297-0.581
0.07-2.330.1-1.60
0.905-1.92
0.383-2.07
0.20-1.65
0.253 - 1.666
0.5-0.85
0.55-1.10
0.38-1.5
0.03 - 0.57
0.3 - 1.40.8-1.5
T°c
379-499
390-610
454 - 840
295 - 630
374 - 592
n,number of
points
5500
Notes
L/d=14.7 - 80
L/d=36-100
L/d=35 - 170rewetting of wall
unstable temperature
L/d=50, 150
heated by sodiumcosine heatflux distribution
TABLE 4.1. (CONT.)
Year
1972
1973
1974
1975
1981
1982
1983
1983
1983
1983
1985
1987
1988
1988
1988
1989
1996(b)
Reference
Bailey
Sutherland
Grachev etal.
Janssen et al.
Fang
Stewart, Groeneveld
Becker et al.
Borodin
Chen and Nijihawan
Laperriere
Gottula et al.
Remizov et al.
Chen, Fu, Chen
Mosaad
Swinnerton etal.
Chen Yu-Zhou et al.
Chen and Chen
P,
MPa
17.8
6.9
7-14
0.683 - 7.07
0.089 - 0.145
1.94-9.05
2.98-20.1
8.2 - 8.34
0.226 - 0.419
3.95 - 9.63
0.290 - 0.79
4.9 -19.6
0.15-1.02
0.11
0.2-1.92
0.41 - 6
0.1-6.0
G,
kg/m2s
668 - 2690
24 - 175
350-1000
16.6 -1024
50 - 495
114-2810
4.96-3110
1350 - 6870
18.7-69.5
962-4510
1.21 - 19.3
350-3000
100-512
100 - 500
200 -1000
47.6 - 1462
23-1462
d,
mm
12.7
38
11.12
12.6
11.8-11.9
8.9
10-24.7
8.9
14.1
9
15.7
10
7; 12
9
9.75
12
6.8; 12
L,
m
2.1-9.0
1.71
1.5-10.2
0.99
0.28
0.92
2.2
1.2-2.6
X
0.391 - 0.95
0.35-1.3
0.584-1.63
-0.026-0.138
-0.12-0.736
-0.042-1.65
0.133-1.07
0.072 - 0.838
-0.119-0.597
0.319-0.87
0 - 2.48
-0.12-0
0 - 0.46
-0.05 - 0.24
-0.05-1.36
q>
MW/m2
372 - 454
0.016 - 0.063
0.05 - 0.3
0.034 - 0.997
0.025 - 0.257
0.064 - 0.459
0.083 - 1.29
0.90 - 2.7
0.0027 - 0.088
0.069 - 0.736
0.003 - 0.044
0-1.28
0.005 - 0.5
0.028 - 0.260
0.015-0.49
T
°C
341-
362-1
306-
279-
378-
229-
308-
175-
727
148
780
722
720
648
781
789
n
number of
points
414
1023
37298
38
2100
273
3568
Notes
U-tube
L/d=120-220
heated by
sodium
ON
OS
TABLE 4.2. EXPERIMENTAL DATA ON FILM BOILING IN ANNULI
Year
1961
196419671969
1971
1971
1980
Reference
Polomik
BennettEraGroeneveld
Polomik
Era
OKB GidropressReport No 431-0-047
P,Mpa
5.5-9.7
3.5-6.97
4.1-8.3
6.9
5
1.5-15.9
G,kg/m2s
1000-2560700 - 2700
800 - 38001350-4100
350 - 2700
600 - 2200
8.9- 148
4mm
9.1do= 15.5
L,m
3.24
X
0.15-1.00.2-1.0
0.3 - 1.0
0.15-0.65
0.2 - 0.9
0.5 - 1.96
q ' 2MW/m2
0.6-2.2
0.6-1.80.13-1.00.5-1.4
0.75 - 2.3
0.2 - 0.6
0.03 - 0.275
T°c
nnumber of
points
1154
Notes
de= 1.52; 3.05
de = 2; 5 spacerstwo heated sectionsseparated by unheatedsectionde=3.3spacersde = 3 uniformly andnonuiformly heated
TABLE 4.3. EXPERIMENTAL DATA ON FILM BOILING IN ROD BUNDLES
Year
1963
196419651966
1968
19701971
1973
1976
Reference
Matzner
HenchKunsemillerAdorni
Matzner
Groeneveld et al.Me Pherson
Groeneveld andMe PhersonOKB GidropressReport No 213-0-084
P,MPa
6.9
4.1-9.74.1-9.75-5.5
3.4-8.3
6.310.9-2.17
6.8 - 10.2
1-6
G,kg/m2s
700 - 2700
390 - 2700390-1350800-3800
700 - 1400
1100-2200700-4100
630-1350
130-700
dr,mm
15.2
13.8
9.1
s,mm
16.2
14.8-15.8
L,m
0.5
0.5
1.75
n,numberofrods
19
237
19
328
36
7
X
0.17-0.60
0.2 - 0.90.3 - 0.70.2 - 0.9
0.23 - 0.38
0.3 - 0.60.28 - 0.53
0.35 -s-1
0.6-1.24
MW/m2
0.8-2.35
0.45-1.90.55-1.00.2-1.5
0.033-1.160.6-1.45
0.08-1.2
0.1-0.35
nnumberof points
160
301
Notes
de = 8.3 mm,mainly stabletemperaturede= 10.3 mmde = 11.2mmmainly stabletemperaturede = 6.7 mmsegmented bundleinpile test trefoilde = 7.8mmmainly stabletemperatureinpile testTw = 650°Cd e
=2.5 mmspacers
4.4.2. Pool film boiling equations
4.4.2.1. Horizontal surfaces
Pool film boiling from a horizontal surface has been investigated for over 50 years, andcan be reasonably well represented by analytical solutions. Most pool film boiling and lowflow film boiling prediction methods [e.g. Bromley (1950); Borishanskiy (1959, 1964);Berenson (1961)] are of the following form:
a = CXv
3 -r -pv(p^ - pv)arad{z,Tw,Ts)
where
r* is an equivalent latent heat and includes the effect of vapour superheat, sometimesexpressed as r* = r + 0.5(Cp)vAT. The velocity effect on the heat transfer coefficient is takeninto account by the F-function. The symbol / represents either a characteristic length (e.g.diameter) of the surface or the critical wave length which is usually defined as:
Other relations for pool film boiling have been proposed by Epstein and Hauser (1980),Klimenko (1981), Dhir (1990), and Sakurai (1990a, 1990b). Table 4.4 gives the correlationsfor the film boiling heat transfer on horizontal surfaces in pool boiling based on the followingdimensional groups
N u = a l / X v (4.4)
4.4.2.2. Vertical surfaces
Saturated pool film boiling on vertical surfaces has been investigated experimentallyand theoretically by many researchers including Hsu, and Westwater (1960), Suryanarayana,and Merte (1972), Leonardo, and Sun (1976), Andersen (1976), Bui, and Dhir (1985).Frequently equations similar as those for horizontal surfaces are proposed for verticalsurfaces; the main difference is usually in the constant C in front of the equation and thecharacteristic length. Sakurai (1990a, 1990b, 1990c) developed new equations for film boilingheat transfer on surfaces with different configurations. In particular, correlations for verticalplates and tubes, spheres and horizontal plates were derived by the same procedure as thatused for horizontal cylinders. The latter was derived by slightly modifying the correspondinganalytical solution to get agreement with the experimental results.
66
TABLE 4.4. CORRELATIONS FOR FILM BOILING HEAT TRANSFER ON HORIZONTAL SURFACES IN POOL BOILING
References Correlations Notes
1
Chang1959 Nu = 0.295
where
a/3
C -ATP
= g/3(pv-p^Pr/pvv
/ =
r =r + 0.5 C AT
PJ
(1)
(2)
(3)
(4)
Laminar flow in vapor film.
Berenson1961 Nu = 0.672
\l/2
Ra-C -AT
P
(5) Laminar flow in vapor film; Ra, /, and r according toEqs. 2, 3 and 4.
Frederkinget al. 1966
Nu = 0.20
1/3
Ra-C -AT
P
(6) Turbulent film boiling; Ra, /, and r according toEqs. 2, 3 and 4.
HamillBaumeister, 1967
(cited by Klimenko1981)
Nu = 0.648 Ra-C AT
P
1/4
r =r + 0.951 C ATPJv
(7)
7.1
Turbulent film boiling; Ra and / according toEqs. 2 and 3.
Clark, 1968(cited by Klimenko
1981)Nu = 0.612 Ra-
C -ATP )
111
(8) Turbulent film boiling; Ra, /, and r according toEqs. 2, 3 and 4.
OS00
TABLE 4.4. (CONT.)
1Lao, 1970
(cited by Klimenko1981)
Nu = 185Ra
x-0.09
C ATv P J
(9)
(10)
Turbulent film boiling; Ra, r according to Eqs. 2 and4.
Klimenko1981
= 0.19Ar1/3Pr1/3-f1C -AT
Pv
Here
Pv-v
(11) Laminar flow in vapor film; / according to Eq. 3
(12)
r
C •\ Pv AT
1
0.89-r
C •
{ pvAT
)
forC -AT
pv
• < 1 . 4
forCpv-AT
(13)
TABLE 4.4. (CONT.)
1
Klimenko1981
Nu = 0.0086Ar1/2Pr1/3-f2
Here Ar>0.8
C AT(14) Turbulent film boiling.
/ \
V C pV A T
1
0.71
at
CP V A T ;
1/2CpvAT
<2
(12)
atCpvAT
>2
Granovskyetal1992
Nu = 0.031 -(lgA)3-5<p2/3
(Ar)<
Cp-AT~* I + *r -Pr r -Pr
(13)
(14)
Turbulent film boiling; / and r* according to Eq. 3 and 4.
9 = +
(15)
(16)
4.4.2.3. Downward-facing surfaces
Recent experiments by Kaljakin et al. (1995) on curved down-facing surfaces havedemonstrated that in many cases the heat transfer coefficient prediction for pool film boilingor for low mass velocities can be based on the modified Bromley formula (1950):
(4.6)Y U- v A 1 • X
where
(3 = 0.8 + 0.00220; 0 is a surface inclination angle, in degrees;AT = Tw - Ts; is a characteristic length along the vessel surface, andr* is defined as in Equation 4.2.
Eq. 4.6 is reportedly valid for a pressure range of about 0.1 - 0.2 MPa.
4.4.3. Flow film boiling models
4.4.3.1. General
The first flow film boiling models were developed for the DFFB regime. In thesemodels, all parameters were initially evaluated at the dryout location. It was assumed that heattransfer takes place in two steps: (i) from the heated surface to the vapour, and (ii) from thevapour to the droplets (see also Section 4.2.4.4). The models evaluate the axial gradients indroplet diameter, vapour and droplet velocity, and pressure, from the conservation equations.Using a heat balance, the vapour superheat was then evaluated. The wall temperature wasfinally found from the vapour temperature using a superheated-steam heat transfer correlation.Improvements to the original model have been made by including droplet-wall interaction, bypermitting a gradual change in average droplet diameter due to the break-up of droplets, andby including vapour flashing for large pressure gradients.
Subsequent to the development of models for the DFFB regime, models have also beendeveloped for the IAFB regime. They are basically unequal-velocity, unequal-temperature(UVUT) models which can account for the non-equilibrium in both the liquid and the vapourphase. Most of the models are based on empirical relationships to predict interfacial heat andmomentum transfer. Advanced thermalhydraulic codes employ similar models to simulate thepost-CHF region. Universal use of film boiling models is still limited because of unresolveduncertainties in interfacial heat transfer, interfacial friction and liquid-wall interactions, aswell as the difficulty in modelling the effect of grid spacers.
4.4.3.2. IAFB regime
A large number of analytical models have been developed to simulate the IAFBconditions [e.g. Analytis and Yadigaroglu (1987); Kawaji and Banerjee (1987); Denham(1983); Seok and Chang (1990); Chan and Yadigaroglu (1980); Takenaka (1989); Analytis(1990); de Cachard (1995); Mosaad (1988), Mosaad and Johannsen (1989); Hammouda,Groeneveld, and Cheng (1996)]. The salient features of many of these models have been
70
tabulated by Groeneveld (1992) and Hammouda (1996). Table 4.5 provides an overview ofsome of the current IAFB models. The majority is based on two-fluid models and employsome or all of the assumptions listed below:
(i) at the quench front the liquid is subcooled and the vapour is saturated;(ii) vapour will become superheated at the down stream of the quench front;(iii) both the vapour and liquid phases at the interface are at saturation;(iv) the interfacial velocity is taken as the average of the vapour and liquid velocities;(v) there is no entrainment of vapour in a liquid core or of the liquid in the vapor film;(vi) the vapour film flow and the liquid core flow are both turbulent.
The above assumptions clearly indicate differences from the classical Bromley-typeanalysis for pool film boiling, and there is no smooth transition between these two cases.
The main challenge in implementing IAFB models into two-fluid codes resides in theproper choice of the interfacial heat and momentum exchange correlations. Interfacial heatexchange enhancements may be due to turbulence in the film, violent vaporization at thequench front, liquid contacts with the wall near the quench front, upstream grid spacers orapproaching quench front, and the effect of the developing boundary layer in the vapour film.The large amount of vapour that may be generated right at the quench front (release of theheat stored in the wall due to quenching) must also be taken into account. Refloodingexperiments clearly show an exponential decay of the heat transfer coefficient with distancefrom the quench front for a length extending some 20 or 30 cm above the quench front.
The constitutive relations employed are based on the simplifying assumptions. Ingeneral, there are too many adjustable parameters and assumptions made by different authorswhich results in a multitude of IAFB models. A part of the reason is the difficulty in verifyingthe proposed interfacial relationships with experimental-based values. Despite this, relativelygood agreement was reported by the model developers between their model prediction and theexperimental data, but no independent review of their models was ever made.
During high-subcooling film boiling the vapour film at the heated surface is very thinover most of the IAFB length. Here the prediction methods or models tend to overpredict thewall temperature, presumable because the conduction-controlled heat transfer across a verythin film was not properly accounted for.
4.4.3.3. DFFB regime
Significant non-equilibrium between the liquid and vapor phases is usually present inthe DFFB regime, except for the high mass velocities. Mixture models are intrinsically notable to predict this non-equilibrium and hence the need for two-fluid models. As theinterfacial heat transfer is easier to determine either experimentally or analytically for theDFFB regime vs. the IAFB regime, these models tend to be somewhat more accurate thanthose simulating IAFB.
As discussed in Section 4.2 the heat transfer in DFFB is a two-step process, i.e. (i) wallto vapour heat transfer and (ii) vapour to entrained droplets heat transfer. Enhancement ofheat transfer due to the interaction of the droplets with the heated wall are usually smallexcept for low wall superheats, near the TMFB , where transition boiling effects becomeimportant.
71
TABLE 4.5. SUMMARY OF IAFB MODELS
1.
2.
3.3.1
3.23.3
3.4
4.4.1
4.2
4.3
4.4
5.5.1
5.2
6.
7.7.1
7.2
7.3
CHARACTERISTICS
Dimensional ( I D — one-dimensional;2D - two-dimensional)
Flow Structure (h - homogeneous;t - two fluids)
Vapour Generationfrom liquid surface
evaporation of drops in a vapour filmevaporation of drops on a wall
wall-liquid interaction
Vapour Filmflow regime (/ - laminar; t - turbulent)
presence of drops
boundary of liquid (s - smooth;w - wavy)Radiation through a vapour film
Central Flow1 - one phase flow; 2 — two-phase flow
flow regime (/ - laminar; t - turbulent)
Accuracy by author (%)
VerificationPressure, MPa
Velocity, m/s
Subcooling, K
REFERENCES
OO
as
iI1
ID
t
+
—-
-
t—w
+
1
/, t
1
0.025
0.17<70
OO
t—1
ID
t
+
—-
-
t—s
-
1
l,t
20-25
1-20
0.85
735-200
OOOS
1
ID
t
++-
-
t-s
+
1
t
<1
0.1
10
O\OOON
|
o1—>
1
ID
t
+
—-
-
t-w
+
1
tRMS12
0.1-8
0.1
1020-60
OOas
1I1bS
PH
ID
t
+
—-
-
/, t
-s
-
1
t
0.1
0.2
0.3<20
il| |
ID
t
+
—-
-
/, t-s
+
1
t
OO
as
tJ
2D
t
+
—-
+
t-w
+
1
t
11
2; 4
OOONI - H
I&ID
t
+
++
-
l,t+s
+
2
t
72
TABLE 4.6. SUMMARY OF DFFB MODELS
CHARACTERISTICS
REFERENCES
00ON r
ONON
oo
ON
1
1
11
O N
*—r
<D
O
su>
O\
p00ON
10
2.
3.
4.4.1
4.2
4.3
4.4
4.5
5.
6.6.1
6.2
6.3
Dimensional (ID - one-dimen-sional; 2D - two-dimensional;3D - three-dimensional)
Flow Structure (h - homoge-neous; dv - drops + vapour)
Scheme of Heat Transfer*
EffectsDeposition of drops
Spectrum of dropsEffect of drops on transportproperties of mediumSlip
Radiation
Accuracy by author (%)
VerificationPressure, MPa
Mass Flux, kg/m2-s
Quality
2D,3D
dv
II
ID ID
dv
n
ID
dv
II
ID
dv
III
ID
dv
III
ID
RMS
12.315 RMS
6.93
0.1-6
24
1000
0.05
1.4
0.7
21.5
130
5200
0.08
1.6
ID
dv
II
2D
II
* Scheme of Heat Transfer I - heat transfer wall to vapourII -1 + wall to dropletIII -1 + II + wall to drops.
73
TABLE 4.6. (CONT.)
1
1
1.
2.
3.
4.4.1
4.2
4.3
4.4
4.5
5.
6.
6.1
6.2
6.3
CHARACTERISTICS
2
Dimensional (ID - one-dimen-sional; 2D - two-dimensional;3D - three-dimensional)
Flow Structure (h - homoge-neous; dv - drops + vapour)
Scheme of Heat Transfer*
EffectsDeposition of drops
Spectrum of drops
Effect of drops on transportproperties of mediumSlip
Radiation
Accuracy by author (%)
Verification
Pressure, MPa
Mass Flux, kg/m2-s
Quality
REFERENCES
Osr—<
Iao
12
ID
h
II
-
-_
+
-
CNOOOs
6t»OO
13
ID
dv
m
+
+_
-
-
OOOs
OOOs
1• 1—<
14
ID
dv
m
+
-_
-
+
20
400
1600
OOOs
Vl
15
ID
dv
III
-
-—
-
-
oOs
u
e?<D
VI
16
ID
dv
II
-
-_
-
+
RMS
10
1-18
100
1500
Os
17
ID
dv
n
-+_
+
-
OOOs
1CO
%Pi
1
18
ID
dv
III
+
-+
-
-
CNOOOs»—1
I
19
ID
h
II
+
-_
-
-
3-12
300
1400
0.3
0.1
OOOs1—1
1
i
20
ID
dv
II
--+
-
-
24
0.1-7
12
100
0
0.99
CNOOOst—<
'S•4-*U
>%
21
ID
dv
II
-
+_
-
-
30
60
OOOs
11
22
ID
dv
II
-
+_
+
-
* Scheme of Heat Transfer I - heat transfer wall to vapourII -1 + wall to dropletHI -1 + II + wall to drops.
74
At high mass velocities, the droplet size is small, the interfacial area is large and theinteraction between the vapor and droplets is sufficiently intensive to keep the vaportemperature close to the saturation temperature. Here a Dittus-Boelter type equation, based onthe volumetric flow rate and vapour properties, provides a reasonable estimate of the overallheat transfer coefficient, and an analytical model is not required.
A large number of models have been developed for the DFFB regime. The first DFFBmodels were developed for the liquid deficient regime by the UKAEA [Bennett (1967)] andMIT [Laverty and Rohsenow (1967)]. In these models, all parameters were initially evaluatedat the dryout location. The models evaluated at the axial gradients in droplet diameter, vapourand drop velocity, and pressure, from the conservation equations. Using a heat balance, thevapour superheat was then evaluated. The wall temperature was finally found from the vapourtemperature using a superheated-steam heat transfer correlation. Bailey (1972), Groeneveld(1972), and Plummer et al. (1976) have suggested improvements to the original model byincluding droplet-wall interaction, by permitting a gradual change in average droplet diameterdue to the break-up of droplets, and by including vapour flashing for large pressure gradients.Additional expressions for the vapour generation rate have also been suggested by Saha(1980), and Jones and Zuber (1977).
The various models tend to have the same basic structure but differ in the choice ofinterfacial relationships and separate effects. The following variants have been used in themodels:
(i) droplet size: based on various Weber number criteria for the initial droplet size and forsubsequent break-up; Weber number may be ignored; subsequent droplet break-up isoften ignored
(ii) droplet size distribution: various assumptions have been made, e.g. constant size,gaussian distribution
(iii) droplet drag force: depends on drag coefficient and assumed shape of the droplet(iv) interfacial heat transfer: depends on phase velocity differential: various equations are
possible(v) droplet-wall heat transfer qdw." this may be expressed by a separate heat flux qjw = 0 or
qdw = f(Tw-TsAT); may be ignored (qaw = 0) or may be incorporated by enhancement ofthe convective heat transfer.
Despite these variants the agreement between the predictions of most DFFB models isquite good at steady-state conditions, and medium flows and pressures (G = 0.3-6 MgnrV1 ,P = 5-10MPa).
Details of the models and the equations on which they are based may be found inAndreoni and Yadigaroglu (1994), Groeneveld and Snoek (1986), Chen and Cheng (1994),and Hammouda (1996). Table 4.6 provides an overview of the major features of the DFFBmodels.
4.4.4. Flow film boiling correlations
4.4.4.1. IAFB correlations
For the IAFB regime many equations have been proposed, including the classicBromley (1950) equation for the vertical surface, the Ellion (1954) equation, the Hsu and
75
Westwater (1960) equation, the modified Bromley equation for pool film boiling: [Leonard(1978); Hsu (1975)], and various other ones. Groeneveld (1984, 1992) later updated byHammouda (1996) have tabulated the proposed equations for IAFB. None of the proposedprediction method appears to have a wide range of application as far as flow conditions isconcerned or as far as geometry is concerned. Most are derived for tube flow or for poolboiling conditions and none has been derived for application in a bundle geometry equippedwith rod spacing devices. Hence caution should be exercised before applying them toAWCRs.
4.4.4.2. DFFB correlations
4A.4.2A. Correlations based on equilibrium conditions
Most of the equilibrium-type equations for film boiling are variants of the single-phaseDitrus-Boelter type correlation. These equations were empirically derived or simply assumethat there is no non-equilibrium and hence use the same basic prediction method as forsuperheated steam except that the Reynolds number is usually based on the homogeneous (noslip) velocity. These equations usually have a very limited range of application, or are validonly for the high mass velocity regime where non-equilibrium effects are small. The mostcommon correlations of this type are tabulated in Table 4.7. Among these the DougallRohsenow (1963), the Miropolskiy (1963) and the Groeneveld (1973) equations are the morepopular ones. The latter two are both based on Miropolskiy's Y-factor as defined in Table 4.7.This factor is particularly significant at lower pressures and qualities. Groeneveld optimizedhis coefficients and exponents based on a separate data base for tubes, annuli and bundles.
4.4.4.2.2. Phenomenological equations based on non-equilibrium conditions
Phenomenological equations attempt to predict the degree of non-equilibrium betweenthe liquid and vapour phase. These equations are a compromise between the empiricalcorrelations discussed in the previous section and the film boiling models described inSection 4.4.3. The phenomenological equations generally predict an equilibrium vapoursuperheat corresponding to fully developed flow and based on local equilibrium conditions.They generally do not require knowledge of upstream conditions, such as location of thequench front. An overview of the phenomenological film boiling equations is given in Table4.8.
The non-equilibrium equations are based on film boiling data for water and have beendeveloped by Groeneveld and Delorme (1976), Plummer et al. (1977), Chen et al. (1977,1979), Saha (1980), Sergeev (1985a), Nishikawa (1986). Most of them use the of the Dirtus-Boelter type equation e.g. Equation 4.7:
~ 2 ~ v v (4-7)V
where
a, b, and c are constants and a is the two-phase heat transfer coefficient in a tube with aninside diameter D.
76
TABLE 4.7. EMPIRICAL FLOW FILM BOILING HEAT TRANSFER CORRELATIONS
References
Collier1962
Collier1962
Swenson et al.1961
Miropolskiy1963
Dougall1963
Bishop et al.1964
Correlations
q-[D0-2/(G-X)08] = c0[(Tw-Ts)]m (1)
whereco=[exp(O.O1665-G)]/389;m= 1.284-0.00312G;Tw- Ts<200°C; [G]-kg/m2-s; rD]-m; [q]-kW/m2; [T]-K or °C;q-[D02/(G-X)0'8] = 0.018(Tw- Ts)
0921 (2)whereTw-Ts<200°C;[G]-kg/m2-s; |"D]-m; [q]-kW/m2; [T]-Kor°C;
Nuw= 0.076{Rew[X + ( p v / p , ) (l-X)](pw/pv)}08Prw
04 (3)
Nu = 0.023Rev° 8Prw08[X +(pv /pt) (1-X)]° 8-y (4)
where
y=l-0 .1[ (p , /p v ) - l ) ] ( l -X) 0 - 4 ;
Nu==as-d/A^; Rev=G-D/(Xv;
0.23^ q< 1.16MW/m2;8 < D <24 mm;
Nu = 0.0203{Re[X + (p v /p^) (l-X)]}a8Pr04 (5)
Nuw=0.098{Rew(pw/pv)[X+ (p v / P i ) ( l -X) ]} 0 8 Pr w0 8 3 ( p v / p ^ ) a 5 (6)
Ranges of ParametersP
MPa7.03
7.03
20.6
3.9-21.6
<3.5
16.8-21.9
Gkg/m2-s>1000
<10b
945-1350
800-4550
1660-3650
1350-3400
X
0.15-1
0.15-1
<0.5
0.1-1
TABLE 4.7. (CONT.)
References
Bishop et al.1964
Bishop et al.1965
Bishop et al1965Tong 1965Quin1966
Kon'kov et al.1967
Henkenrath et al.1967
Brevi et al.1969
Lee1970
Correlations
Nuv=0.055{Rev(p£/pv)[X+(pv/p£)(l-X)]}°-82Prw0-96(pv/p^)0-35
(1+26.9-D/L) (7)
Nu, = 0.0193 Re?-8 Pr |2 3 (pv /p^)0 0 6 8 pC+(p v / P / ) ( l -X)f68 (8)
Nu, =0.033 Re?'8 Pr |2 5 (pv/p^)0197[X+ (pv/p,)(l -X)f738 (9)
Nuw= 0.005(D-G/JV)° 8Prv05 (10)
Nuv = 0.023 {Rev [X + (p v /p^)( l -X)]}°- 8Prw0 - 4 ( |a v /^^) a 1 4 (11)
Nu = 0.019-{Rev[X + ( p v / p ^ ) ( l -X)]}08Prw (12)
where0.29 <q < 0.87 MW/m2;D = 8 mm;
Nuw = 0.06{Rew[X+ ( p v / p ^ ) ( l -X)] (pv/p£)Prw}08(G/1000)04(P/Pcr)27(13)
Nu^ = 0.0089(Ree X/cp)°'84 p r / 3 3 3 [(1 - Xcr)/(X - Xcr)]0124- (14)
wherecp - void fraction.
Tw - T 8 = 1.915-
q-W/m2
q
2
(15)
PMPa
16.8-21.9
4.08-21.9
4.08-21.9
>7006.9
2.94-19.6
14.2-22.3
5.06
14.2-18.2
Gkg/m2-s
350-3400
700-3140
700-3140
>141150
500-4000
750-4100
500-3000
1000-4000
X
0.1-1
0.07-1
0.07-1
<0.10.72-0.79
0.1-1
0.4-1
0.30-0.75
TABLE 4.7. (CONT.)
References
Slaughterbecketal. 1973
Groeneveld1973
Cumo et al.1974
Tong, and
Young1974
Mattson1974
Mattson1974
Correlations
Nuv=1.604-10-4{Rev[X+(pv/p^)(l-X)]}a838PrwL81q0-278(V^rr0-508
(16)
where
[qj-Btu-h-'-fr2;
Nuv= 0.052Rev0668Prw
126[1 - 0.1 ( p , / p v -1)0"4 (1 - X)04]'106 (17)
where
Nuv = a,-DAv; Rev= (G D/p,) [X + (p v /pe) (1 - X)]
0.03< q <2MW-m'2; 2.5 < D <12.8 mm; annuli.
Nuv=0.0091RevL154 (18)
q = qcr+ 0.023(Tw- TyXK/d^GJ)/^)0 -8Pr°333 (19)
asD/?w=3.28-10-4{RevU5[X+ ( p v / p / ) ( l -X)]}0777
TJ^ 1.69 0.18 |S / i \-0-294 n mPrV;W q [kY/k£) (20)whereD is equivalent hydraulic diameter, ft;M-Btu-h^ft^F^ql-Btu-h^-ft-2;
ccsD/Xv= 1.6-10-4{Rev[X+ ( p v / P i ) ( l -X)]}°-838Prv,w1-8Iq0i78(^v A^)"0"508
(21)whereD is equivalent hydraulic diameter, ft;[A,]-Btu-hJ-ft"1-FI;[q]-Btu-h'1-ft-a;
PMPa
6.88-20.2
0.07-21.5
4.05-10.1
6.9-22
<20.8
Gkg/m2s
1050-5300
130-4000
400-5150
710-5170
710-5170
X
0.12-0.9
-0.12-3.09
0.20-1.65
0.1-0.9
0.1-0.9
00o TABLE 4.7. (CONT.)
References
Groeneveld1975(a)
Groeneveld1975 (a)
Groeneveld1975 (a)
Groeneveld1975 (a)
Campolunghietal. 1975
Vorob'ev et al.1981
Correlations
Nuv= 1.09-10-3{Rev[X+ (p v / p* ) ( l -X)]}°-989Prv>wL41Y-115 (22)
where
Y=[ l -0 . l (p^ /p v - l ) ° - 4 ( l -X) 0 4 ]
0.12 < q <2.1 MW-m"2; 2.5 < D <25 mm; Tubes;
Nuv= 1.85-10"4Rev [X + ( p v / p j ) ( 1 -XJJPTW^'Y"1-1^0 '1 3 1 (23)
where
Y = [ l - 0 . l ( p ^ / P v - l ) a 4 ( l - X ) 0 4 ]
[qj-Btu-h^ff2; Tubes;
Nuv = 7.75-10"4{Rev [X + (pv /p e)(1 - X ) ] } 0 - 9 0 ^ 1 - 4 7 ^ 1 ^ 0 1 1 2 (24)
where
Y = [ l - 0 . l ( p ^ / P v - l ) a 4 ( l - X ) 0 4 ]
[qJ-Btuh^-ft"2; Tubes and annuli
Nuv = 3.27-10"3{ Rev [X + (p v / p^ ) (1 - X)]}0-901?^1-32^1-5 (25)
where
Y = [ l - 0 . l ( p ^ / P v - l ) a 4 ( l - X ) 0 - 4 ]
[ql-Btu-h^-ft"2; Tubes and annuli
Nuw= 0.038[RewPrw(x/(p)(pw/pv)(G /1000)]04(P/Pcr)27 (26)
Nuw= 0.0228{Rew[X+ (p v / p^ ) ( l -X)]}°-8Prw°-4[(l-Xcr)/(X-Xcr)f28
[ (G . r /q ) ( P v / P , ) r o 4 . ( v v / v w ) 0 - 6 8 6 (27)
where2 < q <1 MWm2; D =10 mm;vv and vw is specific vapor volume at saturation and wall temperatures.
PMPa
6.8-21.5
5.5-21.5
3.4-21.5
3.4-21.5
9.8-17.6
Gkg/m2s
700-5300
700-5300
700-5300
700-5300
350-1000
X
0.1-0.9
0.1-0.9
0.1-0.9
0.1-0.9
Xcrto 1
Xcrto 1
TABLE 4.7. (CONT.)
References Correlations PMPa
Gkg/m2s
X
Remizov1987
7-14 350-700 Xcrto
s
14.5 + 0.0296-G(54()0-9.38GXX-Xc
(X +0.001)-Xc
where[as]-W-m'2-K;0.2 < q < 0.7 MW-rn2;D = 10mm;And for narrow range data P is 16.0-18.OMPa
(as)-as
(28)
where [q ]-W-m
(29)
oo
to TABLE 4.8. NON-EQUILIBRIUM PDO HEAT TRANSFER CORRELATIONS
References Correlations
Ranges of Parameters
P
MPa
G
kg/m -s
X
Plummer1976
Nuv = ^ ^ - = 0.023 Re°v8- Prf • F
or
= 0.023A,, GD
0.8 v0.14
. P r V 3 . 1 + 0.3D
L + 0.01D
where
L is a length from CHF section and S is a slip ratio, which is given as
= l + 0.5I I \0.205(P</Pv) 1
,0.016
where
y=A/KB and K is the degree of non-equilibrium
= C,ln\V2
o- — d-xj + c,
for water A=2.5; B=0.264; Ci=0.07 and C2=0.40.
(1)
(2)
TABLE 4.8. (CONT.)
References
Groeneveldand
Delorme1976
Marinov1977
Correlations
Nuf= 0.008348{(G -D/u^) [Xa+ (pv /p*)( l - Xa)]}0-8774Pf°-6112
Xa can be found from (hVa-hve)/r = exp(-tan\|/) where hVa=hi>s+Xar
i|/=f(P,G,X,q)
where the functional relationships my be found in Groeneveld and Delorme 91976
the subscript "f' refers to the temperature between wall and bulk of vapour flow;0.03 < q <2 MW-m"2, 5 < D < 20 mm;
Nuv= 0.023(G-d/|av)°-8[X+ (p v /p , ) ( l - X)f8Prw0-8 ( 4 )
for the wall surface temperature from
Tw=Tv+(q/ocv)
0.06 < q < 0.75 MW-m'2;
D=12 mm;
P
MPa
0.7-2.15
0.1-7
G
kg/m2-s
130-4000
30-850
X
-0.12-3.09
0.65-1.1
oo
TABLE 4.8. (CONT.)
References
Remizovand Sergeev
1987
Correlations
Method of calculation of Tw from the differential equation:
^ = 1.75mXv (pv/p£)2(G/q)2x2[(l -Xa)/Xa][(X-Xa)/Xa]n
where
m and n are the functions of D; AT; Xa is found from boundary conditions
X = Xcr and Tv = Ts;
The wall temperature Tw = Tv + q/ocn, is defined from (hv - h ^ ] / r = (X - Xa)/Xa—> hv;
where
an is calculated from the correlation
Nuv= 0.028Rev°-8Prv°'4(Pw/pv)L15, at q < 1 MW-nV2.
P
MPa
5-18
G
kg/m2-s
100-1000
X
x>xcr
The equations are based on a vapour Reynolds number which is usually based on theactual quality Xa instead of the equilibrium quality Xe. Some of the equations [e.g. Plummeret al. (1977)] also permit slip to exist between the phases as shown in Equation 4.8:
Rev =G D
X a + S ( l - X a ) V
p. (4.8)
where S is the slip ratio which in this case depends on the degree of non-equilibrium.
However most of the phenomenological equations are based on the assumption ofhomogeneous flow. Further details of the equations are provided in Table 4.8.
The main difference between the various phenomenological equations is primarily inthe relation between the equilibrium quality Xe and the actual quality Xa. For exampleGroeneveld and Delorme (1976) recommended the following relationship:
[Xe /XJ - max(l, Xe) = exp(-tam[/) (4.9)
where
\\r = f(ReV;hOm, P, q, Xe)
The non-equilibrium correlation developed by Plummer et al. (1977) was based anexpression for (Xa - XdO)/(Xe - Xd0) = f(G) while Tong and Young (1974) expressed Xa/Xe =f(Xe, G) and Chen et al. (1977) expressed Xa/Xe = f(P, Tw). Plummer based his equation ondata for water, nitrogen and freon-12 and takes into account the wall-to-drop heat transfer ocWdas well. The heat flux from the wall to vapor and from the wall to droplets is given as,
q = a w v ( T w - T v ) + a w d ( T w - T . ) (
where the heat transfer coefficient to the vapour ocwv is given in Table 4.8 and the wall-to-droplet heat transfer coefficient ocwd is given as,
and 8f = 1.2-1CT4 and the void fraction q> is based on the actual quality.
Sergeev's method (1978, 1985a, 1985b, and 1987) evaluates the wall temperature and isvalid for G < 1000 kg/m2-s; P = 3 ^ 18 MPa; X>Xcr; AT=TW-Ts< 500°C. It is based on aknown critical quality and the assumptions that:
(i) the radiation heat transfer coefficient is small,(ii) the interaction of drops with a wall is insignificant.(iii) the heat transfer coefficient can be found from a single-phase convection equation (e.g.
see Section 4.5.4).
85
The relation between Xe and Xa can be found by solving the following differentialequation:
y - y ""m " v • - — ^ s - • x „ (l - x * e a
C m A „ 11 A „ I
where
C is an empirical constant; C = 1.5 for tubes, rod bundles, and annuli at the PDO regime ontwo surfaces; C - 3 for annuli at the PDO regime on one surface. Besides, m and n arefunctions of pressure; Uw and Uth are the wetted and thermal channel perimeters. Eq. 4.12 canbe integrated from XCT (at Tva = Ts) to the given channel section for given Xe. This method hasbeen used for tubes, annuli (with a gap of 2 mm and more) and rod bundles (without heattransfer enhancement due to spacing devices).
4.4.5. Look-up tables for film boiling heat transfer in tubes
The high interest in film boiling heat transfer over the past 30 years has led to aproliferation of filmboiling models and prediction methods, many of them film-boiling-regime specific, applicable only over the range of test conditions investigated by theindividual investigator. Hence it has become increasingly more difficult to select film boilingprediction methods which can be used with confidence over a wide range of conditions andgeometries as will be encountered in AWCRs. In addition, these prediction methods,particularly the models and phenomenological equations, are very time consuming even withthe use of fast computers. This is because of (i) frequent iteration, (ii) the large number ofequations involved, and (iii) evaluation of many different fluid properties during eachiteration.
To simplify the film boiling prediction process, and to make it more universallyapplicable, the film boiling table look-up method has been developed. This approach issimilar to the CHF table look-up method, and is basically a methodology which is based on acombination of all available film boiling data and predicted values covering a very wide rangeof conditions. It contains a tabulation of normalized heat transfer coefficients for fullydeveloped film boiling at discrete values of pressure, mass flux, quality, and heat flux.Because the world's film boiling data base still has significant gaps, particularly at conditionswhere experiments are difficult (i.e. high surface temperatures), the tables are based partiallyon extrapolation using the observed trends from the better film boiling models or correlationsand of known asymptotic trends. Ideally the tabulated heat transfer coefficient should bebased on the wall superheat with respect to the actual vapour temperature, but since thistemperature is almost always difficult to evaluate, the equilibrium vapour temperature or thesaturation temperature are usually used as reference temperatures.
The look-up table method for film boiling was first suggested by Groeneveld (1988) andhas since been refined into an improved method [Leung et al. (1997)], based on over 15 000film boiling data for a wider range of conditions. Leung's most recent look-up table is givenin Appendix IV (Table IV.I), where the fully developed heat transfer coefficient with respect
86
8.00 —i
6.00
S
Oo
S2 4.00
OQPH
2.00
0.00
-1.00 0.00 1.00X, Steam quality
2.00 3.00
FIG. 4.4. PDO heat transfer coefficient as a function of steam quality; P=16 MPa, G=1000kg/(m2s), q=0.6 MW/m ; the line presents the look-up table-1999 values, the pluses areexperimental points.
to the equilibrium vapour temperature is tabulated for discrete values of mass velocities (0 to7 Mgm s"1 in 12 steps), pressures (0.1 to 20 MPa in 14 steps), quality (-0.2 to +1.2 in11 steps) and heat flux (0.05 to 3 MWnT2 in 9 steps). In the development of this table thedeveloping heat transfer coefficients close to the dryout point or quench point were not used,as these values depend on prior history which is different in accident scenarios (where filmboiling prediction methods are most often applied) then in steady state conditions. This tablewas compared extensively with the data base and the rms error was 6.73% in surfacetemperature. The error and data distribution for Leung's table [Appendix IV (Table IV.II)]show significant gaps in the data base at low flows and medium pressures. Some of these gapsin the data have since been partially filled by the CIAE [Chen and Chen (1998)].
Recently Kirillov et al.(1996) have taken parts of the Leung/Groeneveld table,experimental data and combined them with measurements and predictions from the Sergeev etal.(1985a) model, and added a gradual transition between. There heat transfer coefficients
87
were tabulated for pressures of 0.1 to 20 MPa, mass flux values of 250 to 2000 kgm 2s l,thermodynamic qualities from -0.2 to +2.2 in intervals of 0.1 and heat flux values of 0.2, 0.6and 1.0 MWnT2 and is presented in Appendix V. Kirillov however defined his heat transfercoefficient based on a saturation temperature but extended his tabulated values up tothermodynamic qualities of 2.2, which corresponds to equilibrium bulk steam temperaturesover 1000 °C at low pressures. This representation suppresses the effect of mass velocities,particularly at the highest qualities as can be seen in Appendix V. An example of the variationof the heat transfer coefficient is shown in Fig. 4.4.
Chen and Chen (1994) measured film boiling at low flows and low to mediumpressures, and noted the presence of strong inlet effects at these conditions. SubsequentlyChen and Chen (1998) proposed a new method for predicting the film boiling heat transferbased on finding the Plummer (1976) non-equilibrium factor K = (Xa - Xc)/(Xe- Xc) which isa function only of P, G, and Xc.. The K value can be derived using the method ofAppendix VI. This permits the vapour temperature to be found from iteration after which,using a pure steam heat transfer equation, the heat transfer coefficient and wall temperaturecan be found. The table is suitable for finding the heat transfer coefficient in the developingheat transfer region downstream of the CHF location. This method differs significantly fromthose discussed above as it requires also knowledge of the critical quality; as expected thiswill improve the prediction accuracy particularly for the low flow cases where developingnon-equilibrium effects are significant (the Leung table look-up method does not predict thedeveloping heat transfer, only fully developed heat transfer coefficients were used in itsdevelopment). For low flow Chen's data and table, as presented in Appendix VI [Chen andChen (1998)] make a significant contribution as they fill a gap in both the data base and in ourunderstanding of the non-equilibrium effects during low flow film boiling. However in manycases the non-equilibrium is still an inferred value as actual vapour temperature measurementsare difficult to measure and have only been obtained successfully over very limitedconditions.
The above table prediction methods partially complement each other but can result insignificantly different predictions. These differences in predictions need to be resolved andwork is in progress to wards this.
4.5. RECOMMENDED/MOST RECENT FILM BOILING PREDICTION METHODS
4.5.1. Pool film boiling
There is a general agreement that the modified Bromley equation for film boiling maybe used for horizontal surfaces:
1/4 (4.13)
For vertical surfaces, changes to the constant in front of the equation and thecharacteristic length are required as indicated in Section 4.4.2.
4.5.2. Flow film boiling
4.5.2.1. Film boiling table
Because of the large number of film boiling methods presently available, it would bedesirable to have more universal prediction method. The bundle look-up table method appearsto be a more promising approach because of the following reasons:
(i) simplicity
(ii) correct asymptotic, and parametric trends
(iii) most universal method with the best overall fit to the fully developed film boiling database
(iv) with modifications now being introduced, it can be used to account for effects such asgeometry, spacer devices etc.
A similar approach has recently been adopted for predicting the CHF in safety analysis[e.g. in RELAP and CATHARE (Section 3.6.1)]. The current look-up tables do not yetproperly account for the developing flow effects, in particular as it is encountered duringaccident scenarios, but a combination of the approach proposed by Chen and Chen (1998) andan appropriate transformation from a time dependent heat transfer coefficient [e.g. a = f(t -tc)] to a length dependent heat transfer coefficient [a = f(z - zc)] is expected to resolve thisshortcoming. Current work in progress will also account for the effects of upstream flowobstructions (such as grids or endplates), which are known to have a significantdesuperheating effect.
The film boiling look-up table and other film-boiling prediction-methods are leastreliable in areas where data are unavailable, and this is particularly true if strong non-equilibrium effects are present. At high flow this problem disappears and the equilibrium-typecorrelations will apply, i.e. the equations of Table 4.8 will apply but with the vapourtemperature based on equilibrium conditions (Tv = min [Tsat, Tb]).
The film boiling look-up table method has been used for the following applications
(i) as a normalized database for validation of film boiling models;
(ii) as an alternative to film boiling models which cover only limited ranges of flowconditions.
For application in AWCR condition, correction factors may eventually be incorporatedin the look-up table to account for the effects of the heat flux distribution and transmissions.They are not available at present. The mechanistic models may also be used to account forthese effects [e.g.: Analytis and Yadigaroglu (1987); Analytis (1989, 1990) and Chen andChen (1997)].
4.5.2.2. Inverted annular film boiling
The film-boiling prediction methods are least accurate for the IAFB regime. The database coverage in IAFB is much more sparse compared to DFFB. Upstream effects, priorhistory effects and spacer effects will affect the heat transfer prediction. No properly validated
89
method covering all conditions of interest is available for this regime. At the low flow end ofthe IAFB regime the pool boiling prediction method will provide a lower-bound prediction.The look-up table method for the IAFB regime is based both on experimental data (whereavailable) and on the model of Hammouda and Groeneveld (1996).
4.5.2.3. Dispersed flow film boiling
High mass flux
The prediction accuracy for flow film boiling is most accurate at high mass-velocities(G > ~3 MgmT^s"1) where non-equilibrium effects are unimportant. For these conditionsexisting equations for heat transfer to superheated steam may be used. Section 4.5.4 presentssome of these equations. The film boiling look-up tables (Appendix IV, Table IV.I andAppendix V) at high mass velocities are based primarily on single phase heat transferequations.
Low mass flux
At low mass velocities non-equilibrium effects become significant and the predictionaccuracy reduces. Also the effect spacers will complicate the prediction accuracy. Furtherwork on the look-up table is required as the recent data of Chen and Chen (1994) has not yetbeen used in updating the AECL look-up table. The upstream history effect is also moreimportant at these conditions as film boiling may never become fully developed; a methodsuch as the one suggested by Chen and Chen (1998) may need to be combined or incorporatedin the look-up table. No single validated prediction method is available covering allconditions of the low mass velocity DFFB regime.
4.5.3. Radiation heat transfer in film boiling
The radiation heat transfer coefficient is usually evaluated separately and added to theconvection heat transfer coefficient, i.e.:
a = aconv + ocrad (4.14)
It should be noted that the radiation heat transfer is particularly significant for the IAFBregime. In this case, the heat transfer at the wall-to-liquid radiation is expressed according toSiegel and Howell (1972) as,
S (T W +T S ) (TJ+T S2 )
a r a d = 5.67 • lO"8 ^ ^ ^
where:
Tw and Ts are the surface and the saturation temperatures, respectively in K; sw and s i arerespectively the emissivity of the heated surface and the liquid.
90
At Tw < 700 °C the radiation heat transfer is relatively small for the DFFB regime.Nevertheless, it is added to the convection heat transfer coefficient. The following simpletwo-gray-plane method may be used:
8 ( T W + T S ) ( T J + T S2 )
a r a d = 5.67 • 10"8 V w x
s ; y '-L (4.16)
'V
The emissivity of the heated surface sw is dependent on both surface material andsurface temperature. The surface emissivity is affected by oxidation, particularly for Zr withthin ZrC>2 coatings, while the vapour emissivity can be indirectly affected by the dropletconcentration.
4.5.4. Correlations for single phase heat transfer to superheated steam
Single phase heat transfer to superheated steam is important as it provides an asymptoticvalue to the film boiling heat transfer for cases when the actual quality approached 1.0 . Anumber of tube-based correlations have been proposed; all of them are of the Dittus-Boeltertype and give similar predictions. The following two equations are frequently used:
(i) Miropolskiy (1975) equation, valid for P = 4 - 22 MPa, G = 0.4 - 2 MgmV 1 and pw/pv
= 0.5 - 0.9, range of Re = 105 - 2 x 106
Nuv = av-D/Xv= 0.028Rev°-8-Prva4(pw/pv)115 (4.17)
where
Rey ~ KJ'J
(ii) Colborn equation:
Nuv = 0.023Reva8-Prv
a4(Tva/Tw)0-5 (4.18)
4.5.5. Application to rod bundles
Virtually all film boiling prediction methods are based on correlations derived for tubes.Applying them to the prediction of fuel-bundle cladding temperatures is common practice; indoing so the following bundle-specific factors should be considered:
(i) bundle enthalpy and flow imbalance(ii) heat transfer enhancement downstream of grids or spacers
91
(iii) adjacent wet surface or cold wall
(iv) narrow gaps between elements
(v) change in wall friction in dry portion of bundle (resulting in higher flow in drysubchannels)
(vi) non-circular subchannel cross section shape
(vii) presence of axial dry-streaks in partially dry bundles.
Reactor safety computer codes may account for some but not all of the above effects.Bundle enthalpy and flow imbalance can be evaluated using subchannel codes (see alsoSection 3.4.4) to predict the flow conditions in individual subchannels. The flow conditions,in turn, will permit the evaluation of the local CHF as described in Chapter 3. When the heatflux of a rod surface facing a given subchannel exceeds the local CHF, both the wall-fluidheat transfer coefficient and the wall friction factor will be reduced drastically. By keepingtrack of the circumferential drypatch fraction (CDF) and the axial drypatch length (ADL) foreach rod facing each subchannel, the flow and enthalpy distribution as well as the distributionin film-boiling heat transfer coefficient can be evaluated. This will permit the evaluation ofthe fuel temperature distribution and the prediction of the extent of fuel melting. The aboveapproach is being incorporated in some of the subchannel codes to permit a detailedprediction of the cladding temperature distribution.
As was noted also in Chapter 3, the change in geometry from tubes to bundlesconsiderably complicates the thermalhydraulic analysis. Aside from the cross-sectiondifferences, the global and local effects of the grid or spacers on the wall heat transfer, quenchbehaviour and interface mass and energy transport are usually unknown, or at best areincluded via an empirical fix for each grid spacer configuration. In general (grid) spacers canhave the following effects:
(viii) promotes rewetting downstream of the grid due to the larger turbulence level (i.e.encourages multiple quench fronts)
(ix) acts as a cooling fin
(x) causes desuperheating of the vapour
(xi) results in an increase of interfacial area by breaking up the droplets or liquid core(xii) homogenizes the flow.
No satisfactory models are available to model the film boiling heat transfer in bundlesequipped with grid spacers and hence most of the codes neglect the presence of the spacergrids. This is despite the fact that experimental studies by Yao et al. (1982), Yoder et al.(1983), Lee et al. (1984), Ihle et al.(1984) and others have demonstrated the beneficial effectof grid spacers, particularly during a reflooding phase where grid spacer can considerablereduce cladding temperatures.
92
4.6. APPLICATION TO FILM BOILING PREDICTION METHODS CODES
4.6.1. General
Most system analysis codes used in LWR and HWR safety analysis represent the coreor bundle by an equivalent tube. Bundle specific effects as discussed in Section 4.5.4 aboveare frequently ignored. Also the axial node size used is frequently so large that it skips thetransition boiling IAFB region. Thus the details of spatial variation of the heat flux cannot beconsidered properly, unless the size of the nodes is drastically reduced.
4.6.1.1. RELAP
Different geometrical configurations (more than 10) can be accommodated in theRELAP5 code. For each of these, various options for heat transfer modes and correlations areavailable. Here reference is made to the "default" geometry, that is a standard cylinderexternally cooled, [see RELAP5 (1995)].
In the reference geometry, at least three types of flow patterns are distinguished,namely, inverted annular flow, slug flow and dispersed flow. The mechanisms of the wall-to-fiuid heat transfer include conduction across a vapor film, convection to flowing vapor,convection between vapor and the droplets, and radiation across the vapor film.
For pool film boiling and IAFB conditions where forced convection is not important,the Bromley (1950) equation is basically adopted in this case. However, the Berenson (1961)wave length concept was introduced in this equation, together with a factor to account for thevoid fraction effect, and a correction for the liquid subcooling proposed by Sudo and Murao(1975). For higher vapour velocities, the wall-vapour heat transfer coefficient is predictedusing the well-known Dittus-Boelter type correlation for single phase heat transfer. TheAnalytis and Yadigaroglu (1987) model has also been implemented in RELAP5/MOD 2 andwas reported to successfully predict reflooding transients [Analytis (1989,1990)].
Radiation heat transfer will be evaluated using Sun's (1976) methodology byconsidering the radiative heat transfer between wall-to-liquid, wall-to-vapor, andvapor-to-liquid and their respective emissivities.
4.6.1.2. CATHARE
In the CATHARE code the heat transfer from the wall across the vapour film ispredicted with either
(xiii) Bromley-type equation modified to account for the effect of subcooling,(xiv) a pure heat conduction equation,(xv) Dittus-Boelter type equation, used primarily at higher vapor velocities and void
fractions, and(xvi) natural convective equations at high void fraction and low velocities.
93
If in doubt which equation applies, the maximum predicted heat transfer coefficientshould be used. Further details of the CATHARE equations can be found in Groeneveld(1982), Bestion (1990) and Groeneveld and Rousseau (1982). The radiation from wall to bothphases is modeled using equations proposed by Deruaz and Petitpain (1976), which strictlyspeaking are applicable only for DFFB.
4.7. CONCLUSIONS AND FINAL REMARKS
(1) The prediction of film boiling heat transfer is much more complex than that of CHF.Aside from requiring a 4th parameter (heat flux) in the look-up table, non-equilibriumeffects should also be considered, especially in the region just down steam of thequench, near flow obstructions, and at low flows.
(2) Current film boiling models and correlations appear to be flow regime specific. Nosingle prediction method can currently provide a satisfactory prediction for both theIAFB and the DFFB regime.
(3) All film boiling prediction methods are derived or validated based on data obtained indirectly heated tubes. They have generally not been validated for bundle geometriesexperiencing severe transients. Effects such as differences in flow cross sections(subchannels vs. tubes), presence of narrow gaps and cold walls are usually notaccounted for.
(4) Fuel bundles are equipped with bundle appendages (as in HWRs) or grid spacers. Theseappendages have a CHF and heat transfer enhancing effect, as well as a desuperheatingeffect thus reducing the non-equilibrium. They also result in having multiple quenchfronts. Current film boiling prediction methods usually ignore these important effects.
(5) The current proliferation of film boiling prediction methods, and their limited range ofvalidity, has reinforced the need for universal prediction methods. Several suchprediction methods are now under development.
(6) Despite the ever increasing speed of computers, the evaluation of film boilingtemperatures is still time-intensive requiring coarse nodalization. The main reasons forthis are: (i) frequent iteration, (ii) the large number of equations involved, and (iii)evaluation of many different fluid properties during each iteration. Table look-upmethods vastly simplify this prediction process, and permit direct evaluation of the filmboiling heat transfer coefficient.
(7) Caution should be exercised when extrapolating steam heat-transport properties to hightemperatures (>1500°C). In addition to the uncertainty in extrapolating to hightemperatures, the dissociation of steam will also affect the steam properties.
(8) The film boiling prediction methods discussed in this chapter were based primarily onsteady state conditions. Transient can have a significant effect on film boiling. Asidefrom affecting the region over which film boiling will occur (by affecting the CHF)IAFB or pool film boiling can be destabilized, possibly resulting in a momentary returnto transition boiling. Increases in heat transfer coefficient of 10-40 times have beenrecorded due to small pressure pulses or by passing through shock waves.
94
(9) During the past three years progress has been made in developing look-up tables forfilm boiling heat transfer. This has been embodied in this chapter. No finalrecommendation for any specific prediction method for film boiling has been made aswork on combining the most promising methods into a single, fully validated method isstill in progress.
(10) The table prediction methods discussed previously partially complement each other butcan result in significantly different predictions. Further research activities to resolvethese differences in prediction methods are currently in progress.
(11) Table IV.I (see Appendix IV) and Table V.I (see Appendix V) contain values for filmboiling heat transfer for all heat flux values including those where the heat flux value isbelow the CHF but above the minimum heat flux. The data base for these table usuallycomes from the "hot patch" type of experiments or from predictions of models.
(12) The differences between the three main prediction methods for film boiling heat transferappear exaggerated as the reference temperatures of the heat transfer coefficients differ;a table based only on surface temperature will result in a convergence of theseprediction methods.
(13) The heat transfer coefficient <% applied in Table 4.1 and Fig. 4.4 is referred to atemperature difference (Tw - Ts). This results in seeming absence of the mass flux effecton the heat transfer intensity at high qualities. However, such definition of as isconvenient for engineering calculations. It is preferred to use only the value Ts as thereference temperature because that allows to simplify considerably the prediction of theFFB heat transfer coefficient. It should be borne in mind that the recalculation betweenthe values of as and cc? leads to as/cXv - (Tw — TV)(TW — Ts) improper results and thedistortion of function as(G). During recalculation cCs-xxv we discovered that the effectis negligible and as & G0'8. The calculation was carried out by the method based onMiropolsky's work (1975) where it was found that Nu &Re°-8and a?« G08. Two FFBheat transfer regimes should be distinguished: 1) PDO (post-CHF) heat transfer, 2)before-CHF heat transfer. At the present time it is not obvious yet whether the heattransfer correlations will be the same for both regimes or not. The FFB heat transferprediction in a rod bundle is performed by both the CHF look-up table for bundles andthe LUT for FFB in tubes with appropriate correction factors.
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108
Chapter 5
PRESSURE DROP RELATIONSHIPS
NOMENCLATURE
AAr
Ag
cfQCv
CoD,deFFrffiftGGSL
gHhhfgIjKLPtP>PqRe
sTtuVV
v f gWX
Z
flow areaflow area ratio ( < 1)projected grid cross sectionfriction coefficientdrag coefficientmodified loss coefficientdistribution coefficientdiameterabsolute roughnesscorrection coefficientFroude Numberfriction factorlaminar friction factorturbulent friction factormass fluxsuperficial liquid mass flux (PL JL)gravitational accelerationwire pitchheat transfer coefficientlatent heatspecific enthalpyvolumetric fluxloss coefficientlengthrod pitchpressureheat fluxReynolds Numberslip ratiotemperaturethicknessvelocityvelocityspecific volume
mass flow ratemass qualitylength, elevation
GREEK SYMBOLS
a void fraction0 angle of direction of flow with vertical
109
pA5
42
Pa
X
homogeneous void fractiondifferencethickness of annular filmtwo phase friction multiplierdynamic viscositydensitysurface tensionMartinelli parameter
SUBSCRIPTS
aavBbcircritefGGOhiLLO1m0
RsSPFTP, TPFtotw
accelerationaveragebundlebulkcircularcriticalelevationfilm, frictionalvapourgas onlyhydraulicinletliquidliquid onlylocalmeanoutletrelativespacersingle-phase flowtwo-phase flowtotalwall
5.1. INTRODUCTION
In the nuclear industry, pressure drop correlations find extensive application for design andanalysis of many systems and components. For example, validated pressure drop correlations(PDCs) are required to determine the extent of orificing needed to match the channel flow to thepower, pumping power required, the riser height required to achieve a certain circulation rate innatural circulation BWRs, recirculation ratio in natural circulation type steam generators,stability analysis, transient and accident analyses, etc. Some of the above applications requirecorrelations for both single-phase and two-phase flows. Two-phase flows are encountered duringnormal operation of BWRs, transients and accidents in PWRs and PHWRs, and in certaincomponents like the steam generators.
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Two-phase flow pressure drop depends on a large number of independent parameters likegeometric configuration of the duct, mass and volume fractions of the individual phases,pressure, fluid properties, mass flux, orientation of the duct (i.e. horizontal, vertical or inclined),flow direction (i.e. vertical upflow, downflow or counter-current flow) and flow patterns.Further, in many engineering applications, two-phase flow systems can be adiabatic, diabatic,one-component, two-component or multi-component. To cater to the needs of these diverseapplications, a very large number of two-phase flow pressure drop correlations are reported inliterature. Many of these correlations, being empirical in nature, are applicable only for limitedparameter ranges. Even mechanistic models are based on certain assumptions and carefulexamination of the particular application is necessary to ensure that the assumptions made inderiving the model hold good. For many practical situations, designers and analysts often requiresome guidance to choose the appropriate correlation.
The parameter ranges of two-phase flow in some of the above applications can be quitedifferent. For example, natural circulation reactors are characterised by relatively low mass fluxand driving pressure differential compared to forced circulation systems. Therefore, correlationschosen for the analysis of natural circulation systems require improved accuracy at low massfluxes. For the analysis of critical flow, following a break in high pressure systems, pressuredrop correlations valid for very high mass fluxes (10-20 Mg/m2s) are required. Forinvestigations on the start-up procedure for natural circulation boiling water reactors,correlations valid over a wide range of pressures starting from atmospheric pressure are required.
In this document, some of the commonly used and often-cited pressure drop correlationsare compiled along with their range of application. Later on assessments of these PDCs reportedin literature are reviewed and their recommendations summarized. Limitations of the reportedassessments are brought out and a rational assessment procedure for diabatic flow is proposed.As per this procedure assessment of pressure drop correlations cannot be carried out in isolation.For example, a rational assessment of diabatic flow pressure drop requires pre-assessment ofmodels for the onset of nucleate boiling (ONB) and void fraction. Assessment of flow patternspecific pressure drop correlations also require pre-assessment of the criteria for flow patterntransitions.
5.2. SURVEY OF SITUATIONS WHERE PRESSURE DROP RELATIONSHIPS AREIMPORTANT
In a nuclear reactor, the generated power, QG, is extracted from the core by means of afluid coolant. The first purpose of the thermohydraulic design of the reactor is to ensure that,during the nominal steady state reactor operating conditions, the extracted power, QE, is equal tothe generated one. Secondly, for accidental conditions, the evaluation of the difference betweenQG and QE is necessary for predicting the behaviour of the plant. The evaluation of the extractedpower is performed by means of the well known relationship:
where
AI is the enthalpy difference between the core outlet and inlet and W is the mass flow rate.
For the evaluation of the extracted power, it is then necessary to know the flow rate. Insome cases, it can be measured (total flow rate in the main loop) but generally at design level, it
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has to be computed and this calculation requires a knowledge of the pressure loss through thedifferent parts of the plant.
It is necessary to take into account the fact that the total pressure loss is due to differentcomponents, namely distributed pressure loss due to friction, local pressure losses due to suddenvariations of shape, flow area, direction, etc. and pressure losses (the reversible ones) due toacceleration (induced by flow area variation or by density change in the fluid) and elevation(gravity effect).
A general purpose relationship for the evaluation of the pressure loss in any possible casedoes not exist up to now and thus it becomes necessary to collect a set of relationships applicableto the different configurations, conditions, etc. A list of the factors on which the pressure lossdepends is shown in Table 5.1.
An important factor affecting the pressure loss is the geometry. In a reactor plant, we haveto deal with several basic geometrical shapes (circular pipes, annuli, etc.) and with a number ofspecial devices, like rod bundles, heat exchangers, valves, headers, plenums, pumps, pools, etc.Other factors are then concerned with the fluid status (single or two phase/one component, two-component or multi-component), the flow nature (laminar or turbulent), the flow pattern(bubbly, slug, annular, etc.), the flow direction (vertical upflow, downflow, inclined flow,horizontal flow, counter-current flow, etc.) and the operating conditions (transient or steadystate).
TABLE 5.1. FACTORS ON WHICH THE PRESSURE DROP DEPENDS
Geometry basic shapes circular pipe, rectangular channel,annulus, etc.
other shapes & rod bundle, spacer, valve,devices heat exchanger, orifice,
plenum, header, pump etc.
fluid status
flow nature
flow patterns
flow direction
operatingconditions
driving force
single phase
two phase
laminar
turbulent
bubbly, slug,annular, etc.
vertical upflow,downflow,inclined flow& horizontalflow
steady statetransient
forced convection
natural convection
one-component,two-componnet &multi-component
co-current &counter-current flow
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A final, very important issue, is concerned with the driving force depending on whetherthe flow is sustained by a density difference in the fluid (natural convection) or by a pump(forced convection), or whether there will be feedback between the pressure loss and theextracted power or not. Once more, in case of natural convection, some differentiation couldarise from what is called microscopic natural convection: normally the pressure loss inside adevice does not depend on the fact that the flow is sustained by a pump or by a densitydifference (macroscopic natural convection); however, in some circumstances, local effectscould happen and, as a consequence, the pressure loss will be influenced by the driving force.
By looking at Table 5.1, it appears clearly that it generates a very big matrix of conditionsand to fill all the matrix cells is a very hard job. At the same time, it becomes immediately clearthat the filling of the whole matrix is not necessary. For example, with respect to the geometry,mainly the basic geometrical shapes have to be taken into account. Some of the geometricconditions of interest are identified in the next section. The pressure loss correlation for specialdevices is usually given by the manufacturer.
5.2.1. Distinction between core and system approach
The term Xhermalhydraulic analysis is often used to identify two widely differentanalytical approaches. The first one can be called core approach and is mainly concerned withthe reactor core, hi this case, a very detailed analysis is performed at subchannel level and,consequently, only the basic geometrical shapes are taken into account. For instance, thepressure drop in rod bundles is usually computed by subdividing them into subchannels ofsimple shape. The bundle pressure drop is then computed based on the pressure drop in singlesubchannel and, in principle, no special pressure drop correlation for bundles is needed. Thespecial devices are limited to the spacers, a relatively limited class. Due to the fact that theanalysis is a very detailed one, it is normally performed for steady state conditions or for slowtransients, computed as subsequent steady states. This approach is the basic one for designpurposes.
The second one can be called system approach and deals with the whole plant. In thiscase, each component is represented by a small number of mesh points. For instance, no detailedgeometrical description of the core is considered. All the subassemblies are usually representedby means of one pin, from a thermal point, and the pressure drop is then computed by means of abundle pressure drop correlation. Again, basic geometrical shapes are needed (circular pipe,annulus, etc.) but the several complex geometries of interest are represented by means of adhocempirical relationships. This approach is mainly used in safety analysis and consequently dealswith transient conditions.
5.2.2. Geometric conditions of interest
Geometric conditions of interest to nuclear power plants (NPPs) only are considered here.Emphasis is made on geometric conditions that are relevant to the primary loop of NPPs. Thesecondary loop of NPPs (the steam generator and the piping up to the main steam isolation valve(MSIV) and the feedwater valves in case of PWRs and PHWRs) is also important and is to beconsidered. In addition, the emergency core cooling (ECC) lines from the ECC pumps to theinjection point along with the different types of valves may also be considered. Also, there arequite a few advanced designs to be dealt with (examples are SBWR, AP-600, CANDU-3,CANDU-9, EPR, AHWR, etc.). Again, it becomes a difficult task to cover typical geometries
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relevant to all these designs. For the purpose of this report, the various geometries relevant toNPPs can be classified into two categories:
5.2.2.1. Simple geometry for steady state and design calculations
In case of NPPs, the attention is generally limited to the nuclear fuel. The geometries ofinterest for local pressure drop are the spacer grids, tie plates, etc. Similarly for distributedpressure drop the geometries of interest are the channel and subchannels (various types, i.e.central, lateral, middle-lateral) for the square and the triangular array.
TABLE 5.2. LOCATIONS IN A PWR WHERE LOCAL AND DISTRIBUTED PRESSURELOSSES ARE IMPORTANT
Local pressure drop in the RPV: Cold leg to downcomerDowncomer to lower plenum entryCore inletSpacersCore outletUpper plenum to hot legBypasses: Lower plenum to core bypass
Core bypass to upper plenumDowncomer to hot legDowncomer to upper headUpper head to upper plenum (direct)Upper head — Control Rod Guide (CRG)CRG-Upper Plenum (different positions)
Local pressure drops in the primary loop:Hot leg bends
Hot leg to steam generator inlet water box entryU-tube bendsU-tube exitSteam generator outlet water box to cold leg entry
Loop seal bendsPump inletPump (inside with various situations for the rotor)Pump outletPressurizer to surge line entryHot leg to surge line connectionSurge line bends if anyAccumulator to pipe entryAccumulator pipe bendsAccumulator line check valve
Similarly distributed (due to skin friction) pressure drops are important for the following locations in a PWR:
Distributed pressure drops in the RPV: DowncomerCore and Core bypassUpper PlenumCRG
Distributed pressure drops in the primary loop: Hot legSurge lineU-TubesCold leg — loop sealCold leg — horizontal
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In addition, the reactor system consists of pipes of various sizes, annulus, etc. The flowpaths on the secondary side of the steam generators and the water boxes could be consideredseparately.
5.2.2.2. Complex geometry (or system) for safety — transient-analysis
During a transient, both direct (i.e. the nominal direction of the flow) and reverse flowdirections are relevant. Both transient and steady state knowledge is relevant (as alreadymentioned). Both single phase (liquid or steam only) and two phase flows are relevant. Flowswith phase opposition including counter current flow limit (CCFL) may happen in anydiscontinuity.
A knowledge of local and distributed pressure drops is necessary for transient analysis,(e.g. LOCA calculations). For example, in a typical PWR, local loss coefficients for direct andreverse flow must be supplied by the code user for each of the locations identified in Table 5.2.Table 5.2 also identifies the locations where distributed pressure drops are important.
Similar tables can be prepared for other reactors. For example, in a pressure tube typeheavy water reactor, additional local loss coefficients required are listed in Table 5.3.
TABLE 5.3. LOCATIONS IN A PHWR WHERE ADDITIONAL LOCAL PRESSURELOSSES ARE IMPORTANT
Entry loss from steam generator outlet pipes to headerHeader to feeder entry lossInlet feeder bendsInlet graylocInlet grayloc to Liner tube entryLiner tube to channel entryFuel locatorJunction between two bundlesChannel to liner tube entryLiner tube to outlet graylocOutlet graylocOutlet feeder bendsFeeder to header entry lossHeader to steam generator inlet pipe entry
5.3. CORRELATIONS FOR DESIGN AND ANALYSIS
5.3.1. Components of pressure drop
The overall static pressure drop, Ap, experienced by a fluid while flowing through a ductcomprises of the following components:
Ap = Ap f+ Ap,+ Apa+ Ape (5.2)
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where
APf, APi, APa and APe are the components of pressure drop due to skin friction, form friction(also known as local friction), acceleration and elevation respectively. The skin friction pressuredrop is also known simply as friction pressure drop.
5.3.1.1. Friction pressure drop
This is the irreversible component of pressure drop caused by shear stress at the wall andcan be expressed as:
fL W2 (5.3)
where
Dh is equal to 4 times flow area/wetted perimeter.
The pressure drop occurs all along the length and hence referred to as distributed pressuredrop sometimes. This equation is applicable for single-phase and homogeneous two-phaseflows, although, the method of calculation of the friction factor, f, and density, p, differ in thetwo cases. Pressure drop across tubes, rectangular channels, annuli, bare rod bundle (i.e. withoutspacers), etc. are examples of this component.
5.3.1.2. Local pressure drop
This is the localized irreversible pressure drop component caused by change in flowgeometry and flow direction. Pressure drop across valves, elbows, tee, spacer, etc. are examples.The local pressure drop is given by
„ W2 (5.4)A p ' = K
where
K is the local loss coefficient, the correlations for which differ for different geometries and forsingle-phase and two-phase flows.
5.3.1.3. Acceleration pressure drop
This reversible component of pressure drop is caused by a change in flow area or density.Expansion, contraction and fluid flowing through a heated section are the examples. Theacceleration pressure drop due to area change for single-phase and two-phase flow can beexpressed as
(5.5)
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where Ao = smaller flow area
(j) = 1 for single-phase flow and for two-phase flow <j) is given by:
= f x3 + (1 -x ) 3 "\ ( pQ pL ~) (5-6)
lp2G a2 p2
L(l-a)2){x pL + (l-x)pJ
The acceleration pressure drop due to density change for single-phase and two-phase flowscan be expressed as:
(5.1)
For single-phase flows, this component is negligible, but can be significant in two-phaseflows. For two-phase flow, the above equation can be used with pm given by:
1 , x2 , (1-x)2 (5.8)— = ( + —r, z)Pm PG
a Pdl-a)
To evaluate the acceleration pressure drop due to density change, accurate prediction ofthe density of fluid is necessary. For single phase flow, density of fluid can be predictedreasonably well with established relationships for thermophysical properties of the fluid. For twophase flow, it is necessary to predict void fraction accurately to determine density and in turnacceleration pressure drop. Hence, correlation for void fraction needs to be chosen judiciously.
5.3.1.4. Elevation pressure drop
This reversible component of pressure drop is caused by the difference in elevation andcan be expressed as:
Ape = /?gAz cos 9 (5.9)
where
0 is the angle with the vertical in the direction of flow. For two phase flow,
p = pL (1-a) + pG a (5.10)
In many instances with vertical test sections, the elevation pressure drop is the largestcomponent. For such cases, accurate prediction of the void fraction is essential which again callsfor a judicious choice of the correlation for void fraction.
5.3.2. Configurations
For the purpose of design of advanced reactors, the required correlations mainly cover thefollowing configurations. For friction pressure loss, circular pipe, annulus, rectangular channelsand rod cluster and for local pressure loss, spacer, bottom and top tie plates, flow area changeslike contraction, expansion, bends, tees, valves etc. are most common. For CANDU type fuel
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bundles, the alignment of two adjacent fuel bundles also is important in estimating the pressuredrop. In addition, in-core effects like radiation induced creep, blister formation, swelling,corrosion, etc. are also important factors affecting the pressure drop which are not dealt withhere. Following is an account of the pressure drop correlations described configuration-wise andgenerally used for design.
5.3.3. Friction pressure drop correlations
The present compilation of pressure drop correlations is applicable to steady state fullydeveloped flow. Fully developed flow conditions are expected to occur in long components likethe steam generator U-tubes.
5.3.3.1. Circular pipe
5.3.3.1.1. Adiabatic single-phase flow
For fully developed laminar flow, the friction factor is given by:
f=64/Re (5.11)
which is valid for Reynolds number less than 2000. For turbulent flow in smooth pipes severalfriction factor correlations are proposed and in use. A few commonly used correlations forsmooth pipe are given below.
Blasius (1913) proposed the following equation:
f = 0.316 Re"025 (5.12)
valid in the range 3000 < Re < 105. The following equation valid in the range of 3000 < Re < 106
is also often used for design.
f = 0.184 Re"02 (5.13)
Drew et al. (1932) proposed the following equation:
f = 0.0056+0.5 Re"032 (5.14)
valid in the range 3000 < Re <3xlO6. The following equation proposed by Nikuradse (1933)
-]= = 0.861n(ReVf) - 0.8 (5>15)
Vf
is valid over the entire range of Reynolds number. Colebrook (1938) proposed the followingequation
Vf v 3.7 Re Vf
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valid for smooth and rough pipes for the whole range of Reynolds number above 3000. Thefollowing explicit equation proposed by Filonenko (1948) is a good approximation of Colebrookequation for smooth tube in the range 4 x 103 < Re < 1012.
f = [1.82 log(Re) - 1 .64f2 (5.17)
An explicit form of the Colebrook equation valid for smooth and rough tubes has beenobtained by Selander (1978) for use in computer codes.
f = 4 [3.8 log(10/Re + 0.2e/D)]"2 (5.18)
It may be noted from the above that well established correlations for friction factor do notexist in the transition region between 2000 < Re < 3000. Further, in many transients, the flowmay change from laminar to turbulent, or vice versa, necessitating a switch of correlations.Numerical calculations, often encounter convergence problems when such switching takes placedue to the discontinuity in the friction factor values predicted by the laminar flow and turbulentflow equations. A simple way to overcome this problem is to use the following criterion forswitch over from laminar to turbulent flow equation.
ifft>fithenf=ft (5.19)
where
ft and fi are friction factors calculated by turbulent and laminar flow equations respectively. Thisprocedure, however, causes the switch over from laminar to turbulent flow equation at Re «1100. Solbrig's (1986) suggestion to overcome the same is to use friction factor as equal to
greater of (ftUooo and f] below Reynolds number of 4000. (ft)4ooo is the friction factor calculatedby the turbulent flow equation at Re = 4000. Effectively this leads to
f=(ft)4ooo for 2000 < Re < 4000 (5.20)
In addition, a condition to avoid infinite friction factor is required to take care of flowstagnation (i.e. Re « 0).
5.3.3.1.2. Diabatic single-phase flow
Generally isothermal friction factor correlations are used with properties evaluated at thefilm temperature Tf = 0.4 (Tw - Tb) + Tb, where T\y and Tb are the wall and bulk fluidtemperatures [Knudsen & Katz (1958)]. Sometimes the friction factor for non-isothermal flow isobtained by multiplying the isothermal friction factor with a correction coefficient, F. Thecorrection coefficient accounts for the temperature gradient in the laminar layer and theconsequent variation in physical properties of the fluid. The correction coefficient can beexpressed as a function of the temperature drop in the laminar layer, ATf as given below:
F = l±CATf (5.21)
The negative sign shall be used for heat transfer from wall to the fluid, and
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AT f =q/h (5.22)
Different values of the constant C are given by different investigators. El-Wakil (1971)gives a value of 0.0025, while Marinelli and Pastori (1973) give a value of 0.001.
An alternative approach is to express the correction factor in terms of the viscosity ratio.This approach is more widely used and the following empirical equation proposed by Leung andGroeneveld (1993) is recommended.
Ta28 (5-23)
where
the subscripts b and w refer to the bulk fluid and wall respectively.
5.3.3.1.3. Adiabatic two-phase flow
A large number of two-phase flow pressure drop correlations can be found in literature.These correlations can be classified into the following four general categories.
(1) Empirical correlations based on the homogeneous model,
(2) Empirical correlations based on the two-phase friction multiplier concept,(3) Direct empirical models,
(4) Flow pattern specific models.
hi addition, computer codes based on the two-fluid or three-fluid models requirescorrelations for the partitioning of wall friction between the fluids and interfacial frictioncorrelations.
Some of the widely used and often cited correlations in each of the above category aregiven below.
Homogeneous flow model
In the homogeneous flow model, the two-phase frictional pressure gradient is calculated interms of a friction factor, as in single-phase flow. The friction factor is calculated using one ofthe equations given in Section 5.3.3.1.1, with the use of the two-phase viscosity in calculatingthe Reynolds number. Several models for two-phase viscosity are available some of which aregiven in Appendix VII.
Many of the models for mixture viscosity do not yield significantly different results.Further, homogeneous models are expected to give good results for high mass flux flows withlow and high void fractions where the bubble diameter is small compared to the duct diameter.Hussain et al. (1974) recommend a value of G = 2700 kg/m2-s (« 2 x 106 lb/h-ft2) above whichhomogeneous models are applicable.
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Correlations based on the multiplier concept
In this case, the two-phase pressure drop is calculated from the single-phase pressure dropby multiplying with a two-phase friction factor multiplier. The following definitions of two-phase friction multipliers are often used.
2 __ (dp/dz)TPF 2 _ (dp/dz)TPFj
^LO (dp/dz) L 0 ' 9GO (dp/dz)G 0 '
, (dp/dz)^ f Wtoh* (5-24)^ (dp/dz)L
VG (dp/dz)G
where
the denominators refer to the single-phase pressure gradient for flow in the same duct with massflow rates corresponding to the mixture flow rate in case of §\o and §QO and individual phasesin case of ^ and <J>G2. Among these, <J)LO2 is the most popular friction multiplier. Some of themultiplier based correlations are briefly described in Appendix VIII.
There are many more empirical correlations (other than those in Appendix VIII) givenunder the multiplier concept, inclusion of all of which is outside the scope of the present report.Care has been taken to include all those correlations which are of interest to current andadvanced reactor designs. In passing, it may be mentioned that all of the homogeneous modelsgiven in the previous section can also be expressed in terms of a two-phase friction multiplier.
Direct empirical models
In this category, the two-phase friction pressure drop is directly expressed as a function ofmass flux, mixture density, length, equivalent diameter, etc. without reference to single-phasepressure drop. Examples in this category are the models proposed by Lombardi-Pedrocchi(1972), Lombardi-Ceresa (1978), Bonfanti et al. (1982) and Lombardi-Carsana (1992). Thesecorrelations also specify the use of the homogeneous model for the calculation of thegravitational and accelerational pressure drop. Such correlations are expected to provide accuratevalues of the calculated total pressure drop rather than the individual components of the pressuredrop. Since Lombardi-Carsana is the latest in this series only this correlation is given inAppendix IX.
Flow pattern specific models
In general, two methods are being used to generate flow pattern specific correlations. Inthe first, empirical correlations are obtained by correlating the data for each flow pattern. In thesecond method mechanistic models which take into account the distribution of phases in eachflow pattern have been developed. Examples of the first approach are those due to Baker [seeGovier and Aziz (1972) and Hoogendoorn (1959)] for horizontal flows and Hughmark (1965)for horizontal slug flow. Examples of mechanistic models are those due to Taitel and Dukler(1976a) and Agrawal et al. (1973) for stratified flow; Wallis and Dobson (1973) and Dukler andHubbard (1975) for slug flow and Hewitt and Hall-Taylor (1970) for annular flow. Some of theempirical and mechanistic models for calculating pressure gradient for horizontal and verticalflows are given in Appendices X and XI respectively.
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To apply flow pattern specific correlations, we must also have a method to identify flowpatterns. This can be done by the use of flow pattern maps proposed by different authors forhorizontal, vertical and inclined flows.
Interfacial friction models
The two-fluid model used in many of the advanced system codes require correlations forinterfacial friction in addition to wall friction. Complete description of the models used incomputer codes like TRAC-PFI/M0D1 [Liles and Mahaffy (1984)] and RELAP5/MOD3.2 [theRELAP5/MOD3 development team (1995)] are readily available in the open literature. Forspecific flow patterns, models are proposed by Wallis (1970), Coutris (1989), Putney (1991) andStevanovic and Studovic (1995). For use in computer codes, it is also essential that suchcorrelations for the various flow patterns be consistent. For example, when the flow patternchanges from bubbly to slug, the interface force predicted at the transition point by correlationsfor the bubbly and slug flow should be same. A consistent set of interfacial and wall frictioncorrelations for vertical upward flow has been proposed by Solbrig (1986) along with a flowpattern map for use in two-fluid models (Appendix XII).
5.3.3.1.4. Diabatic two-phase flow
The correlations discussed so far are applicable to adiabatic two-phase flow. The effect ofheat flux on two phase pressure drop has been studied by Leung and Groeneveld (1991),Tarasova (1966) and Koehler and Kastner (1988). Tarasova (1966) observed that two phasefriction pressure drop is higher in a heated channel compared to that in an unheated channel forsame flow condition. However, Koehler and Kastner (1988) concluded that two phase pressuredrops are same for heated and unheated channels. Studies conducted by Leung and Groeneveldindicate that the surface condition is significantly influenced by heat flux. Effective surfaceroughness increases due to the formation of bubbles at heated surface leading to larger pressuredrop. They concluded that for the same flow conditions, the two phase multiplier is larger forlow heat flux than high heat flux. They further observed that maximum value of two phasemultiplier is obtained when heat flux approaches critical heat flux value. In the absence ofestablished procedure to take the affect of heat flux into account the following procedure forcalculation of two phase diabatic pressure drop is generally followed.
For diabatic two-phase flow, the quality, void fraction, flow pattern, etc. change along theheated section. To calculate the pressure drop in such cases, two approaches are usuallyfollowed. In the first approach, the average (J>LO2 is calculated as:
(525)
The approach can be used in cases where the (|>LO2(Z) is an integrable function. Numericalintegration is resorted to in other cases. An example of such an approach is proposed by Thom(1964). Thom has derived average values of <|>LO2(Z) which are reproduced in Table 5.4. Similarintegrated multiplication factors for diabatic flow as a function of outlet quality are alsoavailable for the Martinelli-Nelson method. Thom has also obtained multiplication factors forcalculating the acceleration and elevation pressure drops for diabatic flow in this way.
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hi the second approach the heated section is subdivided into a large number of smallsegments. Based on average conditions (i.e. x;, oti and flow pattern) in that segment, the pressuredrop is calculated as in adiabatic two-phase flow using one of the models described previously.
TABLE 5.4. VALUES OF FRICTION MULTIPLIER FOR DIABATIC FLOW [THOM(1964)]
Outlet Pressure (bar)Quality 17.24 41.38 86.21 144.83 206.9
0.0000.0100.0150.0200.0300.0400.0500.0600.0700.0800.1000.1500.2000.3000.4000.5000.6000.7000.8000.9001.000
1.001.491.762.052.633.193.714.214.725.256.309.0011.4016.2021.0025.9030.5035.2040.1045.0049.93
1.001.111.251.381.621.862.092.302.502.703.114.115.087.008.8010.6012.4014.2016.0017.8019.65
1.001.031.051.081.151.231.311.401.481.641.712.102.473.203.894.555.256.006.757.508.165
--_1.0201.0501.0701.1001.1201.1401.1901.2101.3301.4601.7202.0102.3202.6202.9303.2303.5303.832
--_------1.0501.0601.0901.1201.1801.2601.3301.4101.5001.5801.6601.740
hi many cases, the pressure drop is to be calculated for a component with subcooled inletflow (for example rod bundles in BWRs). For such cases a single-phase friction model is used inthe non-boiling part of the test section and a two-phase model is used in the boiling zone. Amodel is also required to establish the onset of boiling in such cases. Usually, the thermalequilibrium model is used. But in many cases a model taking into account the effect ofsubcooled boiling is also used. The Saha and Zuber (1974) model is preferred by manyinvestigators for this purpose [Marinelli & Pastori (1973), Vijayan et al. (1981), Snoek &Ahmad (1983)].
Comparison of diabatic two-phase pressure drop predictions with experimental data bySnoek and Leung (1989) showed that the Saha & Zuber model is not adequate to predict theonset of nucleate boiling (ONB) in 37-rod bundles with non-uniform heat flux due to enthalpymaldistribution in the subchannels. They found that the Saha and Zuber correlationoverpredicted the single-phase region length by as much as 50%. They modified the Saha &Zuber correlation for the case of Peclet number >70 000 as:
x 0 N B Ghfg
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Knowing the thermodynamic quality, xe, the true quality, xt, is obtained as:
e „ (5-27)Xt
^ O N B
They also tested this correlation with the available data and found that better agreementis obtained in the prediction of single-phase length in case of nonuniform heat flux. Withuniform heat flux, however, the single-phase length is underpredicted to some extent.
5.3.3.2. Annulus
Correlations for circular pipe are normally used for the calculation of single phase pressuredrop in annulus using the hydraulic diameter concept. For two-phase pressure drop, the sameconcept is expected to be applicable. The accuracy of this method can be checked by comparisonwith experimental data. Examples of available experimental data are those due to Adorni (1961),CISE (1963), Moeck (1970), etc.
5.3.3.3. Rod bundle
The rod bundle geometries used in advanced designs differ in several ways, hi PWRs andBWRs, the fuel bundles are long (»1.8 to 4.5 m) whereas in CANDU type heavy water reactorsshort fuel bundles of about 0.5 m are used. Generally grid spacers are used in PWRs and BWRswhile split-wart spacers are used in CANDUs. hi certain fast breeder reactors wire-wrappedbundles are still used. In PWRs and BWRs, the total pressure drop is obtained by summing upthe pressure drop in bare rod bundle and the spacers. For wire-wrapped bundles empiricalcorrelations for the pressure drop in the bundle considering the geometric details of the wirewraps are available. For prototype CANDU type bundles, the total pressure drop is sometimesexpressed in terms of an overall loss coefficient due to the closeness of the spacers and thecomplex geometry of the end plates [Vijayan et al. (1984)] and alignment problem at thejunction between two bundles [Pilkhwal et al. (1992)].
5.3.3.3.1. Pressure drop in wire wrapped rod bundles
hi the case of wire wrapped rod bundles, the geometry and shape of the system is quiterigid and the development of a general correlation for predicting the pressure drop is areasonable task. Such a correlation proposed by Rehme (1968 and 1969) is given below:
L pu U (5.28)AP = fR ——
Dh 2 UG
where
UB = Us + UD is the bundle perimeterUG = Us + UD + UK is the total perimeterUK, US and UD are the shroud perimeter, pins perimeter and wire perimeter respectively. Thereference velocity, UR, is defined as:
UR = UVF (5.29)
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where
u is the average velocity in the rod bundle
The geometrical factor F depends on the pitch to diameter ratio and on the ratio betweenthe mean diameter and the wire pitch (H).
n °'5 d D , 2 1 6 (
where
dm is the mean diameter of wire wraps. The reference friction factor fR is calculated by means ofthe following correlation based on Rehme's experimental data.
= _64_ 0.0816 fo r2x l0 3 <Re R <5xl0 5 (5.31)R = ReR
+ Re-3 3
where
ReR = Re VF and Re = (uR Dh)/v (5.32)
These are valid in the range 1.12 < pt/D < 1.42 and 6 < H/dm < 45. Later on Dalle Donneand Hame (1982) extended the validity of the correlation to lower pt/D ratios by multiplying Fwith a correction factor C for p/D < 1.03.
(5.33)C = 1.6-e 005873
The measurements on wire wrapped bundles performed in ENEA when compared with thegeneral correlation were found to be in very good agreement for a wire pitch of 140 mm. Thediscrepancy in the whole Reynolds number range was about 4-5 per cent. The agreement for the160 mm pitch was a little worse, up to 13 per cent which is attributed to measurementuncertainty. Later on, pressure drop measured by ENEA in prototype fuel elements of thePEC reactor were found to be in good agreement with the predictions of Rehme's correlationthus confirming its general validity [Cevolani (1996)].
5.3.3.3.2. Pressure drop in CANDU type fuel bundles
Several short bundles are stacked end to end in CANDU type PHWRs compared to a longsingle fuel bundle used in PWRs and BWRs. Due to the basic change in design concept some ofthe problems and geometries are unique to the design.
Snoek& Ahmad (1983)
Snoek & Ahmad suggested the following empirical correlation for friction factor based onexperiments on a 6 m long electrically heated horizontal 37 rod cluster.
f = 0.05052 Re"005719 for 108,000 < Re < 418,000 (5.34)
125
Venkat Raj (1993)
Venkat Raj proposed the following equations based on a set of experiments with prototypehorizontal 37 rod clusters for PHWRs with split-wart type spacer which includes the junctionpressure drop.
f = 0.22 Re"0163 10,000 < Re < 1,40,000 (5.35)
f= 0.108 Re"0108 1,40,000 < Re < 5,00,000 (5.36)
5.3.3.3.3. Pressure drop in bare rod bundles
Single-phase
Correlations for circular pipes are commonly used to calculate pressure drop usinghydraulic diameter of the rod bundle in the absence of experimental data. Some of thecommonly used correlations are:
Kays (1979)
For rod clusters
f=fcirK1 (5.37)
where
Ki •— is provided as a function of p/D (pitch to diameter ratio) based on the work by Diesslerand Taylor (1956).
fcir — can be calculated using correlations given for circular pipe.
Rehme (1980)
For non-circular channels
Laminar flow;
fRe = K (5.38)
where K is a geometry parameter that only depends on the configuration of the channel.
Turbulent flow;
V(8/f) = A[2.5 In ReV(f/8) + 5.5]-G* (5.39)
where
the empirical factors A & G* can be determined from the diagrams given in Rehme (1973a)
126
Grillo and Mannelli (1970)
Grillo and Marinelli proposed the following equation based on their measurements on a4 x 4 square array rod bundle with rod diameter of 15.06 mm and p/D of 1.283
f= 0.1626 Re"02 (5.40)
Two-phase
In the absence of experimental data, the method used for diabatic two phase flow inSection 5.3.3.1.4 can be used with hydraulic diameter of the bundle in place of pipe diameter.Lombardi-Carsana (1992) (CESNEF-2) correlation discussed in Appendix DC is also applicablefor rod bundles, hi addition, there are some empirical equations proposed for rod bundles someof which are given below.
CNEN correlation (1973)
= 1.7205X10"6 (L Ma852)/DhU42 (5.41)
where
M is given by:
M = [xvG+(l-x)vL]G2 (5.42)
where
M is in [N/m2]L & Dj, are in metres,
is obtained in metres of water at 25°C.
This equation is applicable for square array fuel bundles with pitch to diameter ratio =1.28, Dh = 1.31 cm, peripheral rod-channel gap = 0.55 x pitch, 8 < P < 70 kg/cm2 and 680 < G <2700kg/m2s.
Grillo and Marinelli (1970)
1-N
<f(G) = 0.56 + 0.315-^-
where ((|)LO2)M-N is calculated using the Martinelli-Nelson method (Appendix VIII).
127
Una! (1994)
For rod cluster
f = 0.1 Reav"03 (5.45)
Reav=GD/u.av (5.46)
where jum corresponds to average of inlet and outlet under post CHF dispersed flow condition.
5.3.3.4. Steam generator secondary side
Two-phase pressure drop calculations are important for natural circulation type steamgenerators. The driving force for natural circulation flow is resisted by pressure losses whichoppose the flow. The natural circulation driving force is provided by the difference between thedensity of the water in the downcomer and that of the steam-water mixture in the heating zoneand riser. Calculation of pressure losses in a steam generator is therefore an integral part ofevaluating the circulation and flow rate through the heating zone. Pressure drop correlationsspecific to steam generator tube banks are not readily available. For design and analysispurposes, however, the frictional pressure losses can be calculated by the procedure listed fordiabatic two-phase flow discussed in Section 5.3.3.1.4 with the hydraulic diameter of the tubebank used in place of the pipe diameter [ORNL-TM-3578 (1975)].
5.3.4. Local pressure drop
5.3.4.1. Grid spacers
Because of variation and complexity of geometry, it is extremely difficult to establish apressure loss coefficient correlation of general validity for grid spacers. But methods ofcalculation reasonably accurate for design purpose can be achieved. For more precisedetermination of pressure drop across spacers, experimental studies are required. Somecorrelations used to determine pressure drop across grid spacers are discussed below.
5.3.4.1.1. Single-phase flow
Single-phase pressure drop is calculated using a spacer loss coefficient, K, as:
Ap = KpVB2/2 (5.47)
In some cases, it may be possible to obtain a reasonable value of the spacer loss coefficientif its geometry can be approximated to one of those considered in Idelchik (1986). For othercases, the different empirical models for K, described below may be used.
Rehme (1973b)
K = Cvs2 (5.48)
where
s =
128
For ReB > 5 x 104, Cv = 6 to 7 and for Res < 5 x 104 Cv values are given in graphical formas a function of Res. Subsequently Rehme (1977) studied the effect of roughness of rod surfaceon the pressure drop across spacers. Cevolani (1995) proposed Cv - 5 + 6133Re"0789 for squarebundles and ln(Cv) = 7.690-0.9421 ln(Re) + 0.0379 ln2(Re) for triangular bundles with an upperlimit of K = 2 if the calculated value is greater than 2.
Mochizuki & Shiba (1986)
K = 2.7-1.55(log ReB-4) for ReB < 8 x 104 (5.49)
K=1.3 forRe B >8xl0 4 (5.50)
This correlation is valid only for the specific spacer used for the experimental studies with37 rod cluster.
Kimetal. (1992)
K = (Cd + 2LQ/t) s/(l-s)2 (5.51)
where
Cd the drag coefficient varies from 0.8 to 1.0 for a thin rectangular plate depending on theaspect ratio of the plate,
Cf the friction coefficient can be obtained from the flat plate flow solution. For turbulentboundary layer preceded by laminar region.
Cf = 0.074 (ReB L/Dhf2 - 1740 (ReB L/Dh)"1 (5.52)
For fully laminar flow
C f - 1.328(Dh/L)°-5(ReB)-0-5 (5.53)
Transition Reynolds number is assumed to be 5 x 10 .
5.3.4.1.2. Two phase flow
In general, the homogeneous model or the slip model is used for the estimation of the two-phase pressure drop across grid spacers.
Homogeneous model
Ap = K(Resat)vG2/2 (5.54)
where
K(Resat) is the form loss coefficient for single phase flow estimated at the Reynolds numbercorresponding to the total flow in the form of saturated liquid and v is the specific volume givenby
129
v = xvG + (l-x)vL (5.55)
This model may be used when experimental data are not available. Beattie (1973) hasprovided the following equation to calculate the pressure drop in rod spacers, sudden expansion,etc. if the flow is churn-turbulent at the obstruction.
o02 (5.56)
]A > [ ( ) ] [ F ) ]Pa PG
Slip model
According to this model, the form loss coefficient for two phase flow can be obtainedfrom
KSPFG2 = PL G2 _ G2 (5-57)
JS-SPF JVTPF"2p p 2pL 2pL
where
p is given by
P = ^pG + (l-a)pL ; a =
x J pL
It may be noted that this equation reduces to the homogeneous model if S = 1. Grillo andMarinelli (1970) recommend a value of S = 2 for grid spacers.
Tie plate
Generally, tie plates are used at the ends of rod cluster fuel elements which structurallyjoins all the fuel pins. Unlike spacers, the flow areas at the downstream and upstream sides ofthe tie plates are different. Also, these are generally located in the unheated portion of thebundle. Reported studies on pressure drop for the tie plates are few in number. An approximatecalculation for design purposes can be made using the contraction and expansion model for localpressure losses, hi addition the friction losses in the thickness of the tie plates can be calculatedusing the hydraulic diameter concept. For two-phase pressure losses, the homogeneous or theslip model described above can be employed in the absence of experimental data.
5.3.4.2. Area changes
Single-phase
The pressure losses due to area changes are calculated by Equation 5.4 with losscoefficients calculated for the relevant geometry from Idelchik (1986).
130
Two-phase
In general, the irreversible pressure drop due to area changes is estimated from theknowledge of single-phase loss coefficient using the homogeneous model. When details of theslip ratio are available, then the slip model given above can be used.
Sudden expansion
Romey [see Lottes (1961)] expresses the two-phase pressure drop across suddenexpansion by the following equation:
PL
Beattie (1973) model given above can also be used (Eq. 5.56).
Fitzsimmons (1964) provides the following equation to calculate the pressure change acrossabrupt expansion
PL [PG WiAr ai)\ [" ' V(l-ai)A r (l-a2)>
where
subscripts 1 and 2 refer respectively to the upstream and downstream locations of the abruptexpansion. An assessment carried out by Husain et al. (1974) suggests that better agreement withdata is obtained when ai and 0C2 are calculated by assuming slip flow.
5.3.4.3. Bends and fittings
The single-phase pressure drop due to bends and fittings can be calculated using theappropriate loss coefficients from Idelchik (1986).
Two-phase pressure drop
Chisholm (1969) provides the following general equation for the calculation of two-phasepressure drop in bends and fittings.
(5.60)
(5.61)
where
Vfg = vG-vL , andC2 is a constant.
131
Bends
For bends C2 is a function of R/D, where R is the radius of curvature of the bend and D isthe pipe diameter.
C2 for normal bend
C2 for bend with upstreamdisturbance within 50 L/D
4.35
3.10
3.40
2.50
2.20
1.75
1.00
1.00
Chisholm provided the above values of C2 by fitting Fitzsimmons (1964) data.
Chisholm & Sutherland (1969)
For 90° bends: C2 = l + 35 N (5.62)
For 180° bends: C2 = l +20N (5.63)
N is the number of equivalent lengths used for calculating single-phase pressure drop.
Tees:
C2 =1.75
Valves:
C2 = 1.5 for gate valves= 2.3 for globe valves
Alternatively the homogeneous model may be used.
Orifices:
For separated flow (stratified) at obstruction, Beattie (1973) obtained the following
02 (5.64)
expression for (|)LO2-
5.3.5. Importance of void fraction correlations
Void fraction plays an important role, not only in pressure drop calculation, but also inflow pattern determination and neutron kinetics. All the four components of pressure dropdirectly or indirectly depend on the void fraction. For certain situations of practical interest,accurate prediction of all the components are required. For example, steady state flow prevails ina natural circulation loop when the driving pressure differential due to buoyancy (i.e. the
132
elevation pressure drop) balances the opposing pressure differential due to friction andacceleration. For natural circulation loops, therefore, the largest contribution to pressure droparises from the elevation pressure drop. Also, the acceleration pressure drop can be 10-15% ofthe total core pressure drop. For such cases, accurate estimation of each component of pressuredrop is required. Therefore, it is very important to have a reliable relationship for the mean voidfraction. Significant deviations are observed between the predicted flow rate using differentmodels for friction and void fraction.
In many experiments with diabatic vertical test sections, the friction pressure loss isobtained as shown below:
g + G V G + v
TPF m \yG yL ) d z U G \-a L)
where
(dp/dz)m is the measured pressure drop.
It is observed from the above equation that the void fraction, a, and quality, x, play animportant role in deducing the frictional term from the measured static pressure drops. Usually,the acceleration and elevation drops are calculated with the help of a void fraction value, whichmay not be measured but calculated by a correlation.
The stability predictions of natural circulation loops are also strongly influenced by thefriction and mean void fraction model [see Furutera (1986)]. The use of certain friction modelscan completely mask the stability phenomenon. In coupled neutronic thermalhydrauliccalculations, the void fraction plays an important role in the calculation of reactor power[Saphier and Grimm (1992)]. For such calculations, it is essential to use the best models for eachcomponent of pressure drop which indirectly also implies the use of the best void fractionmodel. Hence, it is necessary to make a judicious choice of the void fraction correlations. Someof the commonly used void fraction correlations are described briefly in the following section.
5.3.5.1. Void fraction correlations
In general, the void fraction correlations can be grouped into three; viz.,
(a) slip ratio models,(b) K.p models and(c) correlations based on the drift flux model.
In addition, there are some empirical correlations, which do not fall in any of the threecategories. Some of the commonly used correlations in all the above categories are describedbelow.
5.3.5.1.1. Slip ratio models
These models essentially specify an empirical equation for the slip ratio, S (=UG/UL)- Thevoid fraction can, then be calculated by the following equation:
133
(5.66)
x J pL
For homogeneous flow, UQ = UL and S = 1. At high pressure and high mass flow rates thevoid fraction approaches that of homogeneous flow, and can be calculated by setting S = 1 in theabove equation. But usually, the slip ratio is more than unity for both horizontal and verticalflows. For vertical upward flows, the buoyancy also assists in maintaining S > 1. The commonslip ratio models are given in Appendix XIII.
5.3.5.1.2. Kp models
These models calculate a by multiplying the homogeneous void fraction, p, by a constantK. Well-known models in this category are due to Armand (1947), Bankoff (1960) andHughmark (1965) which are given in Appendix XTV.
5.3.5.1.3. Correlations based on the drift flux model
By far the largest number of correlations for void fraction reported in the literature arebased on the drift flux model. The general drift flux formula for void fraction can be expressedas
a = Jo <5-67>Co[jG + jL] + VGj
where
VQJ is the drift velocity (= UQ-J, where j is the mixture velocity) and for homogeneous flow Co =1 and VQJ = 0. The various models (see Appendix XV) in this category differ only in theexpressions used for Co and VQJ which are empirical in nature.
The Chexal and Lellouche (1996) correlation is applicable over a wide range ofparameters and can tackle both co-current and counter-current steam-water, air-water andrefrigerant two-phase flows. The correlation is used in RELAP5 [the RELAP5 DevelopmentTeam (1995)] and RETRAN [Mcfadden et al. (1992)] and is given in Appendix XV for steam-water two-phase flow.
5.3.5.1.4. Miscellaneous correlations
There are a few empirical correlations which do not belong to the three categoriesdiscussed above. Some of the more common ones are given in Appendix XVI.
Significant differences exist between the void fraction values obtained using differentcorrelations. This necessitates a thorough assessment of the void fraction correlations.
5.3.6. Review of previous assessments
Several assessments of pressure drop and void fraction correlations reported in literatureare reviewed and their recommendations summarized in this section.
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5.3.6.1. Pressure drop correlations
hi general, two different approaches are followed while assessing the predictive capabilityof pressure drop correlations, hi one of these, a particular correlation is chosen and comparedwith all available two-phase flow pressure drop data disregarding the flow pattern to which thedata belong. This approach is adequate for adiabatic flows while assessing correlations valid forall flow patterns, and is followed by Idsinga et al. (1977), Friedel (1979 & 1980), Beattie andWhalley (1982), Snoek & Leung (1989) and Lombardi & Carsana (1992).
In the other approach correlations are chosen for a particular flow pattern and comparedagainst data obtained for that flow pattern. Since flow pattern specific pressure drop data arelimited, the flow pattern to which the data belong is identified with a flow pattern map tofacilitate the selection of the correlation. This approach requires a pre-assessment of flow patternmaps. Examples of such assessments are those due to Mandhane et al. (1977), Hashizume &Ogawa (1987) and Behnia (1991). Some assessments like those of Dukler et al. (1964) andWeisman & Choe (1976) combine both these approaches.
Some limited assessments for investigating parametric effects are also reported. Forexample, Simpson et al. (1977) and Behnia (1991) assessed data from large diameter pipes whileD'Auria and Vigni (1984) studied the effect of high mass velocity flows. Most assessmentsemployed statistical methods, but the parameter and the correlations chosen for assessment arewidely different. Some salient results of these assessments are presented here.
5.3.6.1.1. Homogeneous model
Beattie and Whalley (1982) compared 12 pressure drop correlations including5 homogeneous models using the HTFS (Heat transfer and fluid flow services) databankcontaining about 13500 adiabatic data points for steam/water and non-steam water mixtures.This study used roughly about 8400 horizontal flow data points and 5100 vertical flow datapoints. They used the homogeneous void fraction model to calculate the elevation head for thehomogeneous friction models whereas an unpublished void fraction correlation (HTFS-1981)was used for the other models. From this study Beattie and Whalley conclude that thehomogeneous model is as good as the others in predicting the two-phase flow pressure drop overthe range of parameters considered. The main results of Beattie and Whalley are summarized inTable 5.5.
Idsinga et al. (1977) compared 18 different correlations (4 homogeneous models) against 3500steam-water pressure drop measurements under both adiabatic and diabatic flow conditions.Most of the data were from vertical pipes ranging in diameter from 0.23 to 3.3 cm. Also, theamount of low mass flux data (less than 300 kg/m2s) was much less. They used thethermodynamic equilibrium model for the calculation of single-phase length in case of diabaticdata. The void fraction model used is the homogeneous model for all homogeneous frictionmodels and for other models, consistent void fraction correlations recommended by the originalauthors were used. Assessment by Idsinga et al. (1977) shows that best results are obtained fromthe homogeneous models proposed by Owens (1961) and Cicchitti (1960). Incidentally, thesemodels were also considered for assessment by Beattie and Whalley (1982) and were found togive reasonable results for steam/water flow, although not as good as that of Beattie and Whalleymodel.
135
Assessment by Weisman and Choe (1976) showed that the homogeneous models ofMcAdams (1942) and Dukler et al. (1964) give better results in the homogeneous flow regime(G > 2712.4 kg/m2s). Interestingly, the homogeneous model by Dukler (1964) gave consistentlygood results for all flow regimes except the separated (stratified) flow regime.
5.3.6.1.2. Correlations based on the multiplier concept
Several comparisons of these correlations have been reported previously. One of theearliest assessment was carried out by Dukler et al. (1964). They also compiled a databankconsisting of about 9000 data points. They have selected 5 correlations [Baker (1954), Bankoff(1960), Chenoweth and Martin (1955), Lockhart and Martinelli (1949) and Yagi (1954)] forassessment. Their assessment showed that the Lockhart and Martinelli correlation is the best outof the five correlations for two-component two-phase flow.
Idsinga et al. (1977) assessed 14 multiplier based models against 3500 steam-waterpressure drop data. The multiplier based models recommended by Idsinga et al. (1977) are theones due to Baroczy (1966) and Thorn (1964).
Friedel (1980) compared 14 pressure drop correlations against 12 868 data points obtainedby 62 authors from circular and rectangular channels. Both horizontal and vertical flow adiabaticdata in pipes ranging from 1 to 15 cm in diameter were studied. While applying the correlationsno distinction is made as to whether they were derived for horizontal or vertical two-phase flow.Overall, the Chisholm (1973) and the Lombardi-Pedrocchi (DIF-1) correlations were found to bethe most accurate. However, these two correlations are equivalent and are unexpectedlyinadequate for prediction of the measured values in gas/water and gas/oil flows.
TABLE 5.5. MAIN RESULTS OF BEATTIE AND WHALLEY
Fluid used
Non steam-water
Non steam-water
Steam-water
Steam-water
NDP(a)
7168
2011
1236
3095
Orientation
horizontal
vertical
horizontal
vertical
Recommended Correlation
HTFS, L-M(b) & B-W(c)
L-M, HTFS & B-W
Dukler et al, B-W & Isbin
B-W, HTFS, & Friedel
(a) NDP: No. of data points,00 L-M: Lockhart-Martinelli (1948),(c) B-W: Beattie and Whalley (1982).
Friedel (1979) derived two-phase friction pressure drop correlations for horizontal, verticalupflow and downflow based on his databank. He has also compared the predictions of thesecorrelations with the Chisholm (1973) and DIF-2 correlations using an enhanced databankconsisting of about 25 000 data points. The data pertain to one-component and two-componentmixtures flowing in straight unheated sections with horizontal, vertical upflow and downflow intubes, annular and rectangular ducts under widely varying conditions. The Friedel correlationwas found to be better than the other two.
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5.3.6.1.3. Flow pattern specific models
To assess flow pattern specific pressure drop correlations, the first step is to select a flowpattern map applicable to the geometry. Previous review of flow pattern specific pressure dropcorrelations have been carried out by Weisman and Choe (1976), Mandhane et al. (1977),Hashizume & Ogawa (1987) and Behnia (1991) for horizontal two-phase flow. In the reviews byMandhane et al. and Behnia, the flow pattern to which the data belong has been obtained withthe help of Mandhane's flow pattern map. Hashizume and Ogawa (1987) used a modified Bakermap in their assessment. Weisman and Choe used their own flow pattern map.
Using the AGA-API databank (enhanced by the addition of Fitzsimmons (1964), Petrick(1961) and Miropolski (1965) data), Weisman and Choe made a flow pattern specificassessment for horizontal two-phase flow. Their assessment covers four basic flow patternsreferred to as separated flow (Stratified flow), homogeneous flow, intermittent (slug) flow andannular flow. The transition criteria used by them are given in Table 5.6.
Based on their assessment the correlations recommended for different flow patterns aregiven in Table 5.7. Their assessment shows that the scatter obtained using the differentcorrelations (11 in all) for separated flow is substantially large. Ten different correlations wereassessed for the homogeneous flow pattern and in this regime, the homogeneous models givebetter predictions. Most of the correlations tested for the intermittent flow regime were found togive reasonably good values, although the best predictions are obtained with the Dukler et al.(1964) correlation followed by Lockhart-Martinelli correlation. These two correlations are alsoseen to give consistently good results for annular flow.
TABLE 5.6. TRANSITION CRITERIA FOR HORIZONTAL FLOW (WEISMAN & CHOE)
Flow pattern Transition criteria
Separated flow JG* < 2.5 exp [-12(l-a)J + 0.03awhere J*G = pG°-5JG/[g D(pL-pG)a5]
Annular flow G > 10(GL)"° 285 (D/Dc)
0-38
where GL is in ib/fPhr and Dc= 1.5" (0.0381 m)Homogeneous flow G > 2712.4 kg/m2s (2 x 106 lb/h ft2)
Mandhane et al. (1977) compared 16 pressure drop correlations against the University ofCalgary Pipe Flow Data Bank containing about 10 500 data points. The data were grouped bypredicted flow pattern using the Mandhane et al. (1974) flow pattern map. Each correlation wasthen tested against all the data points contained within each flow pattern grouping. Thecorrelations recommended by Mandhane et al. are given in Table 5.8. Hashizume and Ogawa(1987) also carried out an assessment of 5 pressure drop correlations using selected data (only2281 data) from the HTFS databank. This, however, contained some very low mass flux data. Inthis analysis they have used the modified Baker (1954) map for flow pattern identification. Theyconcluded that their correlation gives the best prediction for refrigerant data.
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TABLE 5.7. CORRELATIONS RECOMMENDED BY WEISMAN & CHOE (1976)
Flow pattern Recommended correlation No. of correlations tested
Separated flow Agrawal et al. (1973) and 11Hoogendoorn(1959)
Homogeneous flow McAdams (1942), Dukler et al. 10(1964) &Chisholm (1968)
Intermittent flow Dukler (1964), Lockhart- 7Martinelli (1949) & Hughmark(1965)
Annular flow Dukler (1964) & Lockhart- 6Martinelli (1949)
TABLE 5.8. CORRELATIONS RECOMMENDED BY MANDHANE ET AL. (1977)
Flow pattern Correlation
Bubble, elongated bubble Chenoweth and Martin (1956)
Stratified Agrawal et al. (1973)
Stratified Wavy Dukler et al (1964)
Slug Mandhane et al. (1974)
Annular, annular mist Chenoweth and Martin (1956)
Dispersed bubble Mandhane et al. (1974)
5.3.6.1.4. Assessment for diabatic flow
With modified Saha and Zuber correlation for the onset of nucleate boiling and theArmand correlation for void fraction, Snoek & Leung (1989) carried out an assessment of 9different correlations using diabatic pressure drop data from horizontal 37 and 41 rod clustersrelevant to CANDU type reactors. The databank consisted of 1217 measurements using eitherwater or refrigerant-12. The correlations compared are the Beattie model (1973), Levy model(1974), Lombardi and Pedrocchi correlation, Martinelli-Nelson separated flow model (1948,1949), Chisholm and Sutherland model (1969), Chisholm (1983), Reddy et al. (1982) andBeattie and Whalley model (1982). The acceleration pressure drop was calculated using Eqs. 5.6and 5.7 given in Section 5.3.1 Friedel (1979) correlation was found to predict the experimentalresults best. Either of the Beattie models were found to yield small errors. Levy model wasfound to be good for water, but poor for refrigerant-12 data. Results of similar studies forvertical clusters are not available in open literature.
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5.3.6.1.5. Parametric effects
Effect of diameter
Simpson et al. (1977) compared six pressure drop correlations with data from largediameter (12.7 and 21.6 cm) horizontal pipes. None of the pressure gradient correlationspredicted the measured pressure drop accurately, suggesting the need for considering the effectof pipe diameter. Behnia (1991) has compared seven pressure drop correlations with datagenerated from large diameter pipe lines ranging in diameter from 7.6 cm to 48.4 cm. In order toidentify the flow pattern to which the data belong he has used the Mandhane et al. (1974) flowpattern map. He concludes that the best predictions are obtained using the Beggs and Brill(1973) correlation followed by Aziz et al. (1972) correlation. However, it may be noted that themajority of the data is from large oil pipe lines of about 0.5 m in diameter.
Effect of high mass velocity two-phase flow
An assessment to identify a correlation suitable for predicting friction pressure losses inhigh velocity two-phase flows (characteristic of critical flow in long channels) has been carriedout by D'Auria and Vigni (1984). The pressure drop measurements obtained in the exit nozzle ofa pressure vessel was used to assess different pressure drop correlations. The investigations werein the range of pressures from 0.1 to 7.0 MPa and flow rate between 500 to 20 000 kg/m2s. Theassessments were carried out in two-phases; first 17 different correlations were compared withexperimental data adopting a homogeneous equilibrium model. Later on a two-velocity modelaccounting for slip was considered and the correlations were compared with the sameexperimental data. Results from these studies indicate that practically none of the correlations isable to predict the measured (Ap)tot for high values of mass velocities (G > 8000 kg/m2s) whilefor low values of the same quantity (G < 2000kg/m2s) nearly all correlations produce resultswhich are within the experimental error band.
5.3.6.2. Assessment of void fraction correlations
Assessment of void fraction correlations are comparatively few in number. The reportedassessments are due to Dukler et al. (1964), Friedel (1980), Chexal et al. (1991) Diener andFriedel (1994) and Maier and Coddington (1997). Dukler compared three holdup (i.e. 1-a)correlations, viz., Hoogendoorn (1959), Hughmark (1962) and Lockhart-Martinelli (1949).Hughmark correlation was found to give the best agreement with data.
Friedel (1980) compared 18 different correlations for mean void fraction using a databankhaving 9009 measurements of void fraction in circular and rectangular channels by 39 differentauthors. In his assessment no distinction was made as to whether the correlations were derivedfor horizontal or vertical two-phase flow. The mean void fraction correlation of Hughmark(1962) and Rouhani (I and II) (1969) were found to reproduce the experimental resultsconsiderably better than the other relationships, regardless of the fluid and flow directions.However, Rouhani equation II was found to reproduce the measured values more uniformly overthe whole range of mean density. Hence, Friedel recommends Rouhani II relationship.
Chexal, Horowitz and Lellouche (1991) carried out an assessment of eight void fractionmodels using 1500 steam-water data points for vertical configurations representative of severalareas of interest to nuclear reactors such as: (1) high pressure — high flows, (2) high pressure —
139
low flows, (3) low pressure — low flow, (4) counter current flooding limitation, (5) naturalcirculation flows and (6) co-current downflows. The data were representative of PWR and BWRfuel assemblies and pipes up to 18 inches in diameter. The correlations assessed and statisticalcomparision are given in Table 5.9.
Diener and Friedel (1994) made an assessment of mean void fraction correlations usingabout 24000 data points. The data consists of single-component (mostly water & refrigerant 12)and two-component systems (mostly air-water). In this assessment, they had compiled 26 mostoften used and cited correlations. These correlations were then checked for the limitingconditions [i.e. zero and unity value of void fraction for single-phase liquid (x = 0) and single-phase vapor (x = 1)]. Only 13 correlations were found to fulfill the limiting conditions and wereselected for further assessment. In this assessment they have not differentiated the data on thebasis of flow direction, although, in vertical upward flow the mean void fraction is expected tobe lower than in case of horizontal flow under identical conditions (due to larger velocitiescaused by buoyancy effect). Most of the void fraction correlations reproduce the data with arather acceptable accuracy. The three best correlations in the order of decreasing predictionaccuracy are listed in Table 5.10 for various fluid conditions.
Maier and Coddington (1997) carried out an assessment of 13 wide range voidcorrelations using rod bundle void fraction data. The database consisted of 362 steam-water datapoints. The data is from level swell and boil-off experiments performed within the last 10-15 years at 9 experimental facilities in France, Japan, Switzerland, the UK and the USA. Thepressure and mass flux of the data range frm 0.1 to 15 MPa and from 1 to 2000 kg/m2-srespectively. Of the 13 correlations considered, 5 were based on tube data. The remainingcorrelations either are specific to rod bundles or include rod bundle option.
TABLE 5.9. STATISTICAL COMPARISION OF THE EIGHT VOID FRACTION MODELS[CHEXAL, HOROWITZ AND LELLOUCHE (1991)]
Void fraction model Mean error Standard deviation
Chexal-Lellouche (1986)
Liao, Parlos and Griffith (1985)
Yen and Hochreiter (1980)
Wilson etal. (1965)
Ohkawa and Lahey (1980)
Dix(1971)
GE ramp (1977)
Katoka and Ishii (1982)
All 13 correlations except Gardner (1980) are based on drift flux model. Some of thecorrelations e.g. Ishii (1977), Liao, Parlos and Griffith (1985), Sonnenburg (1989), Takeuchi etal. (1992), Chexal-Lellouche (1992) require iterations to calculate the void fraction. Theimportant results of this assessment are:
140
-0.0041
0.002
0.050
0.013
0.025
0.023
0.012
0.031
0.049
0.094
0.142
0.099
0.057
0.094
0.062
0.101
(1) Two of the tube based correlations i.e.Liao, Parlos and Griffith (1985) and Takeuchi(1992), produce standard deviations which are as low as the best of the rod bundlecorrelations.
(2) Comlpex correlations like Chexal et al. (1992), or others requiring iterative solutionsproduce no significant improvement in mean error or standard deviation compared to moredirect correlations of Bestion (1990), Inoue et al. (1993) and Maier and Coddington(1997).
TABLE 5.10. VOID FRACTION CORRELATIONS RECOMMENDED BY DIENER &FRIEDEL(1994)
Fluid Total number ofData points
Recommended Correlation
Water/air mixture
1-component mixtures2-component mixtures
2-component mixtureswith G> 100 kg/m2s
10991
982714521
11394
Rouhani I, Rouhani II, HTFS-Alpha®
HTFS-Alpha, HTFS®, Rouhani IIHTFS-Alpha, Rouhani I, Rouhani
IIRouhani II, Rouhani I, HTFS
! proprietary correlations belonging to HTFS.
5.3.6.3. Limitations of the previous assessment procedure
Most of the well documented assessments of pressure drop correlations have beenreviewed in the Section 5.3.6.1. Some limitations of these assessments are given below:
(1) To the best of our knowledge, none of the prior assessments of the two-phase frictioncorrelations concentrate on low mass flux two-phase flows. Analysis using limited numberof data (see Vijayan & Austregesilo) shows that there is considerable scatter in thepredictions at the low mass fluxes typical of advanced designs. Hence it is desirable toassess the predictive capability of correlations reported in literature for use in the design ofadvanced reactors where better accuracy of prediction at low mass flux is the criterion ofacceptability.
(2) Most assessment of PDCs are based on statistical approach. The correlations selected by astatistical method need not necessarily reproduce the parametric trends as shown by Leung& Groeneveld (1991). Reliable reproduction of parametric trends by PDCs is important tocapture certain thermalhydraulic phenomena. An example in this regard is the flow patterntransition instability occurring near slug flow to annular flow transition [Boure et al.(1971)].
(3) Effect of pressure has not been studied separately. It is of interest to study this aspect forthe advanced designs.
(4) Effect of pipe diameter needs to be assessed as the pipe diameters in advanced designs canbe large. In this case, there is a need to generate additional data as most of the availabledata on steam water mixture are for small diameter pipes.
(5) Most assessments are for pipe flow data. The only assessment for rod bundles in the openliterature is that reported by Snoek and Leung (1989) for CANDU type reactors.
141
(6) The database for vertical downflow is less extensive.
(7) In deriving certain empirical friction models, a specific void correlation is used to derivethe experimental friction pressure drop data. Such empirical models, are to be used withthe specified void correlation to predict the pressure drop. Such correlations may not beacceptable for natural circulation reactors where the flow rate is a dependent variablegoverned by the balance of the driving pressure differential due to elevation and thepressure losses. Therefore, applicability of such correlations needs to be assessed fornatural circulation flow.
(8) To our knowledge, assessment of flow pattern specific pressure drop correlations forvertical flow are not reported so far. For the assessment of flow pattern specificcorrelations, the flow pattern to which the data belong is identified with the help of a flowpattern map which is different for different orientations of the duct. Therefore, separateassessments are required for identifying the best flow pattern map.
5.3.7. Proposed assessment procedure for diabatic vertical flow
For adiabatic vertical flows, the gravitational pressure drop is significant and therefore avoid fraction correlation is necessary to derive the experimental friction pressure drop from themeasured total pressure drop. For diabatic vertical two-phase flows with subcooled inletconditions, which is relevant to nuclear reactors, a model for the onset of nucleate boiling isnecessary in addition to void fraction correlation. This suggests that the factional Pressure DropCorrelations (PDCs) cannot be assessed in isolation, hi fact, a rational assessment of PDCs fordiabatic flow requires a preassessment of models for onset of nucleate boiling (ONB), voidfraction and flow pattern transitions. Therefore, a rational assessment procedure consists of thefollowing steps:
(1) To review the literature and compile a set of correlations for ONB, void fraction, flowpattern and pressure drop,
(2) To compile a databank consisting of raw data for ONB, void fraction, flow patterns andpressure drop for forced and natural circulation conditions of one-component two-phaseflow,
(3) Assessment of models for ONB, void fraction, flow pattern transitions and pressure drop.
This assessment also aims to investigate the parametric effects due to mass flux, pressure,quality, diameter, flow direction and geometry relevant to the advanced designs. An assessmentis in progress in BARC. Some of the results available at this stage are given below.
5.3.8. Results of assessment
5.3.8.1. Compilation of databank
Several databanks exist for the pressure drop in two-phase flow. Examples are those dueto Dukler et al. (1964), Friedel (1980), AGA-API, University of Calgary multiphase pipe flowdatabank, HTFS databank and MID A [Brega et al. (1990)]. A databank has been compiled byFriedel (1994) for void fraction. Some databanks for flow patterns are also available. Thesedatabanks are not available to us at present and therefore a Avo-phase /low Jata frank(TPFDB) consisting of raw experimental data on the following phenomena is being compiled.
142
(a) Adiabatic and diabatic pressure drop in ducts of various geometry,(b) Void fraction,(c) Flow patterns,(d) Flow pattern specific pressure drop.
In this compilation, special emphasis is given to steam-water flows although some dataon air-water and refrigerant two-phase flows are included. The databank is being updatedcontinuously. Currently, this databank consists of about 4000 data on pressure drop, 5000 dataon void fraction, 3000 data on flow pattern and 500 data on flow pattern specific pressuredrop. The sources from where the original data were compiled are shown in Appendix XVII.
5.3.8.2. Assessment of void fraction correlations
An assessment of the void fraction correlations given in Section 5.3.5.1 was carried outusing a part of the void fraction data (about 3300 entries) contained in the TPFDB. The dataused for assessment pertains to vertical upward flow of steam-water mixture in circular,annular and rectangular channels. Further details of the assessment are given in AppendixXVIII.
The present assessment showed that Chexal-Lellouche correlation performs better thanother correlations. Clearly, all the statistical parameters considered above are minimum forthis correlation, followed by Hughmark, Modified Smith and Rouhani correlations(Table 5.11). Previous assessments by Dukler et al. (1964) and Friedel (1980) have alsoshown that the Hughmark correlation to be the best. Assessment by Diener and Friedel (1994)have shown the Rouhani correlation to be among the best three correlations for predictingvoid fraction.
A generic problem of all good correlations mentioned above except Modified Smithcorrelation is that they overpredict the void fraction. This is clear from the mean error given inthe table-11, which is positive for almost all the correlations (except Nabizadeh and ModifiedSmith correlations). Among the top four correlations only the Chexal-Lellouche and themodified Smith correlations satisfy the three limiting conditions (i.e. at x = 0, a = 0 ; at x = 1,a = 1 and at P = Pcrjt; a = x) over a wide range of parameters (see also Appendix XVIII).Therefore, these correlations may be used in computer codes used for thermalhydraulicanalysis.
5.3.8.3. Assessment of flow pattern maps for vertical upward two-phase flow
A large number of flow pattern maps are found in the literature. Many of these are basedon experiments. Examples are those due to Griffith and Wallis (1961), Hosier (1967),Spedding and Nguyen (1980) and Weisman and Kang (1981). Since such flow pattern mapsare based on limited data, these cannot be assumed to be of general validity. Therefore,theoretical flow pattern maps have been proposed by a few authors. In such maps, thetransition criteria are physically based and can be considered to be of general validity.Examples of such maps are those proposed by Taitel et al. (1980), Mishima-Ishii (1984),Solbrig (1986), Bilicki and Kestin (1987) and McQuillan and Whalley (1985). In the presentassessment, only three theoretical flow pattern maps for vertical upward flow, proposed by
143
Taitel et al. (1980), Mishima and Ishii (1984) and Solbrig (1986) are considered as they formthe basis of the flow pattern maps used in computer codes for the thermal-hydraulic analysisof nuclear reactors.
A fairly large number of flow regimes are reported in literature. Examples are bubbly,dispersed bubbly, slug, churn, annular, wispy annular, wavy annular, annular mist, sprayannular, droplet flow, etc. However, most investigators categorised the flow pattern data intomainly three regimes. These are the bubbly, slug and annular flow regimes. Even computercodes like RELAP5 consider only these as independent flow regimes. Therefore, in ourassessment only these three flow patterns are considered. Corresponding to these threepatterns the relevant transitions are bubbly-to-slug and the slug-to-annular.
Detailed results of this assessment are given in Appendix XVIII. Table 5.12 shows asummary of the comparison of the data with bubbly-slug together with slug — annulartransition criteria. The characterization of bubbly flow data using the different transitioncriteria yield comparable results. Since it uses a = 0.52, 95% of all bubbly flow data ischaracterized as bubbly by the Solbrig criterion. However, a large amount of slug flow dataalso fall in the bubbly flow regime.
The slug-annular transition criteria together with bubbly-slug transition criteria arerequired to assess the slug flow data. Table 5.13 shows the results of such an assessment. Asseen all the criteria fare badly in characterizing slug flow data even though the Solbrigcriterion I is somewhat better than others.
TABLE 5.11. COMPARISON OF VARIOUS VOID FRACTION CORRELATIONS
Correlation name
Chexal-Lellouche
Hughmark
Modified Smith
Rouhani
Zuber-Findlay
Bankoff
Osmachkin
Bankoff-Jones
Thorn
Nabizadeh
Armand
GE-Ramp
Bankoff-Malnes
Dix
Homogeneousmodel
mean error(%)5.10
6.85
-5.44
10.76
11.20
9.08
1.32
12.50
6.72
-21.17
21.54
27.30
30.98
17.81
44.90
absolute mean error
(%)15.25
16.72
18.13
18.42
19.32
19.21
18.91
20.78
21.11
24.40
27.75
32.60
36.57
39.92
49.03
r. m. s. error(%)
22.74
23.81
24.19
25.97
26.15
26.58
26.59
27.95
28.88
30.00
34.75
39.10
44.15
48.52
55.51
standard deviation(%)
22.16
22.60
23.58
23.64
23.64
24.98
26.56
25.00
28.08
21.35
27.27
28.08
31.45
45.14
32.65
144
TABLE 5.12. CHARACTERIZATION OF BUBBLY FLOW DATA USING THE VARIOUSTRANSITION CRITERIA
Item Taitel et al. Mishima-Ishii Solbrig
PBB
PBS+
PBA**
PSB®
PAB#
72.3
21.1
6.7
13.0
0.7
77.7
17.8_
4.6
17.7
1.6
95.1
4.9
0.0
39.6
4.0
*PBB:+PBS:** PBA:@PSB:#PAB:
Percentage of bubbly data characterized as bubbly;Percentage of bubbly data characterized as slug;Percentage of bubbly data characterized as annular;Percentage of slug data characterized as bubbly;Percentage of annular data characterized as bubbly.
TABLE 5.13. CHARACTERIZATION OF SLUG FLOW DATA USING VARIOUSTRANSITION CRITERIA
Item
PSS*
PSB
PSA**
PBS
PAS#
Taitel et al.
40.2
13.0
47.0
21.1
9.4
Mishima-Ishii
43.2
17.7
39.2
17.8
16.0
Solbrig I
46.6
39.6
13.5
4.9
47.8
Solbrig II
34.4
24.6
40.5
11.8
12.1
*PSS:#PAS:** PSA:
Per cent of slug data characterized as slug;% of annular data characterized as slug;Per cent of slug data characterized as annular.
TABLE 5.14. CHARACTERIZATION OF ANNULAR FLOW DATA WITH VARIOUSTRANSITION CRITERIA
Item
PAA*
PAS
PAB
PBA
PSA
Taitel et al.(1980)
90.1
9.4
0.7
6.7
47.0
Mishima-Ishii(1984)
82.7
16.0
1.6
4.6
39.2
Solbrig I(1986)
48.1
47.8
4.0
0.0
13.5
Solbrig II(1986)
85.5
12.1
2.4
0.7
40.5
PAA: Percentage of annular data characterized as annular.
145
Limiting our attention to only the characterization of annular flow data shown inTable 5.14, Taitel et al. Mishima-Ishii and the Solbrig II criterion are found to perform well.However, an acceptable criterion shall not characterize slug flow data as annular and that iswhere all the three criteria fail.
5.3.8.4. Assessment of pressure drop correlations
A part of the pressure drop data from TPFDB for vertical upward two-phase flow indifferent geometries has been assessed against some of the correlations described earlier inthis report. In the present assessment 2156 data points collected from literature for diabaticsteam-water flow were assessed against the correlations listed in Table 5.15. ExceptingChisholm and Turner-Wallis the other correlations belong to the homogeneous model. Theassessment is based on Colebrook equation for single-phase friction factor, Zuber-Findlay(1965) correlation for void fraction and Saha and Zuber (1974) model for the onset of nucleateboiling. The results are also given in Table 5.15. The table shows that the Chisholmcorrelation is the one with least R.M.S. error (37%) and least standard deviation (28%)followed by the homogeneous model given by Dukler et al. (1964) with 48% R.M.S. error and46% standard deviation which suggests that the simple homogeneous models can givereasonable predictions for design purposes. Earlier assessment by Friedel (1980) had shownthat the Chisholm (1973) correlation to be most accurate for adiabatic steam-water flow. Priorassessment by Weisman and Choe (1976) showed that the Dukler et al. (1964) gaveconsistently good results for all flow regimes.
5.4. COMPARISON OF CORRELATIONS AS THEY STAND IN CODES
Reference is made hereafter to system codes used in the safety and design analysis ofnuclear power plants. The attention is focused toward RELAP5 and CATHARE owing to thedirect experience gained in the use of these codes. The physical phenomenon addressed is thewall-to-fluid (steam and/or liquid) pressure drop excluding other phenomena that may contributeto the overall (steady state or transient) pressure drop.
TABLE 5.15. COMPARISON OF PRESSURE DROP CORRELATIONS
Correlation
Dukler etal. (1964)
Me Adams (1942)
Beattie&Whalley(1982)
Cicchittie (1960)
Chisholm (1973)
Tumer-Wallis(1965)
Mean error
(%)
12
20
21
31
24
21
R.M.S.
error%
48
54
55
65
37
61
Standard Deviation
%
46
50
51
57
28
57
146
The comparison among correlations as they stand in the codes, implies two different steps:
(a) description of the physical models or constitutive equations or closure equationsimplemented in the codes;
(b) comparison among results produced by the code in terms of pressure drops, eventuallyincluding experimental data.
The item a) constitutes the objective of the Section 5.4.1, while item b) is addressed in thefollowing discussion.
The calculation (better, the results of calculations) of pressure drop by system codes is afunction of different types of parameters including :
- nodalization details,
- user assumptions,
- physical models for wall-to-fluid pressure drops (Section 5.4.1),
- general code hydraulic model and coupling with physical models other than pressure drops(e.g. heat transfer coefficient),
- numerical structure of the code.
The role of each set of parameters may be extremely different in the various codeapplications; i.e. user assumptions may be very important in one situation and (almost) notimportant in the another case; clearly, physical models are always important.
A huge amount of comparison among calculation results by system codes (includingcomparison with experimental data), is provided in the open literature (e.g. InternationalStandard Problems organized by OECD/CSNI or Standard Problem Exercise organized by theIAEA), hi the case of natural circulation, a detailed comparison among system codes, includingevaluation of the effects of nodalization details, of boundary and initial conditions and of userchoices can be found in D'Auria and Galassi (1992). In the framework of the present CRP somepresentations focused on this item too [D'Auria and Frogheri (1996)].
Considering all of the above, it was preferred not to include results of time trendspredicted by the code.
5.4.1. Physical models in system codes
The attention is focused hereafter to the two-phase wall-to-fluid friction inRELAP5/MOD3.2 [the RELAP5 Development Team (1995)] and CATHARE 2 vl.3 [Houdayeretal. (1982)] codes.
5.4.1.1. RELAP5
The wall friction model is based on the Heat Transfer and Fluid Flow Service (HTFS)modified Baroczy correlation, [see Chaxton et al (1972)]. The basic equation is
147
f(5.68)
where
2 < C = - 2 + fi(G)Ti(A,G)
where
fi(G) = 28-0.3VG;T I ( A , G ) = exp [{log10A + 2.5}2/{2.4-G(l()-4)}], andA = (pG/pL)(iaL/u<})
0-2
The same derivation implies the use of the Lockhart-Martinelli parameter, i.e. Eqs 1 to 3in the Appendix VIII.
The partition between contributions to the total pressure drop due to liquid and steam isobtained following the theoretical basis proposed by Chisholm using the Z parameter defined as:
aLW
(5.69)
Z 2 = «,
a
such that
dP
'dz
dPGdz~
aG+ahZ2
[aG+aLZ2
(5.70)
(5-71)
In the last formulae (other than the already defined quantities) PL and po are the sectionperimeters contacting with liquid and steam, respectively; in addition, CCLW and OCQW are theliquid and the vapor volume fraction respectively, in the wall film:
PL/P = aLw
pG/p = aGW
(5.72)
(5-73)
These are defined from the flow regime maps, on the basis of what can be referred asRELAP5 approach [the RELAP5 Development Team (1995)].
The single phase coefficient (Darcy-Weisbach friction factor) is computed fromcorrelations for laminar and turbulent flows with interpolation in the transition regime. Thelaminar zone coefficient is obtained from the well known "64/Re" formula. The turbulent
148
friction factor is obtained from the Zigrang-Sylvester approximation, [Zigrang and Sylvester(1985)], that is introduced into the already discussed Colebrook correlation. The transitionregion is computed by a linear interpolation that, again, can be reported as RELAP5 approach.Finally the heated wall effect is accounted for, by introducing the correlation adopted in theVIPRE code [Stewart (1985)].
5.4.1.2. CATHARE
hi relation to two-phase wall-to-fluid friction, a simpler approach is included in theCATHARE Code [Bestion (1990)]. The complex interaction of this model with terms includedin other code models (e.g. dealing with momentum transfer : interfacial friction, stratificationcriterion, drift velocity, droplet diameter) should be recalled: the overall result of the codepredicted pressure drop comes from the combination of the effects of all the above mentionedmodels.
The wall friction is computed from the following formula (the index "K" may indicateeither the liquid phase, K = L, or the vapor phase, K = G):
K "K (5.74)
where
CFK is the single-phase friction coefficient
CFK = CFK (Rek) with ReK = ctRpsmP^^ ( 5 ' 7 5 )
and CKIS the two phase flow multiplier deduced from the experiments.
In the case of stratified flow, this is the relative fraction of the wettable perimeter occupiedby the phase K; CK is only a function of the void fraction. In the other flow patterns, the vapourfriction is assumed as negligible and only the liquid-to-wall friction is computed. This isassumed true in all cases except the case of very high void fraction. Specifically, theLockhart-Martinelli (Appendix VIII) correlation for liquid was adopted for pressure below2 MPa; for pressure larger than this value a slightly different correlation was adopted whichcorrects the pressure effect.
This approach was demonstrated to be acceptable with the exception of the situation ofhigh quality in the annular-mist flow regime. A special correlation for CK=L is developed in sucha case. It should be mentioned that an extensive experimental database was utilized todemonstrate the validity of the approach.
5.5. FINAL REMARKS
The performed activity gave an idea of the difficulty in synthesizing the currentunderstanding of a fundamental phenomenon in thermohydraulics: the occurrence and themodelling of various components of pressure drop. Making only reference to the modelling,different approaches can be pursued for calculating friction pressure drops, hi addition, a number
149
of correlations, different from each other, have been developed and are currently in use. Theareas and the modalities of application of the correlations are also different; in this context,system geometry (e.g. tubes, bundles), fluid status (single-phase, two-phase with or withoutinteraction of phases), flow type (transient, steady state, fully developed or not), flow regime(e.g. in two-phase flow, bubbly or annular flow), can be distinguished. This makes it difficult toidentify an 'agreeable' (or widely accepted) approach or to recommend a particular one.
The recommendations should also suit the objectives and the framework of the use of thecorrelations. Requirements of subchannel analysis codes and system codes should bedistinguished. Detailed plans for future development are outside the purpose of the CRP,specifically the need to distinguish between the various applications. However, a few genericrequirements that should be the basis of any future development are listed below.
(a) To identify the conditions for a suitable experiment (i.e. quality of facility design, of testdesign, of instrumentation and of recorded data)
(b) To identify "reference data sets"(c) To define acceptable errors (as a function of application)(d) To compare code and/or correlation results with selected "reference data sets".
hi addition, a few specific requirements which need to be considered for future work arelisted below.
The correlations selected based on assessment by statistical method need not necessarilyreproduce the parametric trends. Therefore, future assessment should also examine theparametric trends for mass flux, pressure, quality and diameter.
Most of the reported assessments are for adiabatic pipe flow data. Assessment of pressuredrop correlations for diabatic flow requires pre-assessment of the models for the on-set ofboiling and void fraction. For flow pattern specific pressure drop correlations, a pre-assessmentof flow pattern transition criteria is also required.
Only limited data are available for complex geometries like rod bundles, grid spacers, tieplates, etc. in the open literature. More data are required in this area.
The available database in the open literature is limited and further work is required togenerate more pressure drop data for the following range of parameters:
Low (<500 kg/m2 s) and high (>8000 kg/m2s) mass flux two-phase flowLarge diameter pipe (>70 mm)Low pressure (<10 bar)Vertical down flow.
Simultaneous void fraction measurement is required along with pressure dropmeasurement to calculate individual components of pressure drop. The availability of flowpattern specific pressure drop data is very limited. More data are required to be generated in thisarea.
As final remarks, from a methodological point of view, we can limit ourselves to list thefollowing various approaches for modelling pressure drops that can be considered whendeveloping advanced thermohydraulic models (capabilities intrinsic to CFD — Computational
150
Fluid Dynamics or DNS — Direct Numerical Simulation are excluded from the present review)suitable for system codes.
Two-phase flow multiplier (developed having a boiling channel as reference): An averagevalue of the two-phase pressure drop can be calculated. Users must be aware of the conditionsunder which the correlations are developed or tested (e.g. length of the channel, consideration ofacceleration pressure drops, etc.).
Interfacial drag: The lack of knowledge of the interfacial area may noticeably lower the qualityof such an approach.
Use of drift flux: The calculation of void fraction, based on correlations not tuned to thecalculation of pressure drops may limit the validity of the approach.
Use of 6-equation model: The same observations as above applies here.
Calculation of pressure drop considering subchannels: Lack of appropriate knowledge oftwo- or three-dimensional flows, may limit the validity of the approach.
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AGRAWAL, S.S., GREGORY, G.A., GOVIER, G.W., 1973, An analysis of stratified two-phase flow in pipes, Can. J. Chem. Eng. 51, 280-286.
ARMAND, A.A., TRESCHEV, G.G., 1947, Investigation of the resistance during themovement of steam-water mixtures in heated boiler pipes at high pressure, Izv. Ves. Teplotekh.Inst. 4, 1-5.
AZIZ, K., GOVIER, G.W. FOGARASI, M., 1972, Pressure drop in wells producing oil and Gas,J. Can. Petroleum Technol, 38-48.
BAKER, O., 1954, Simultaneous flow of oil and gas, Oil Gas J. 53, 185.
BANKOFF, S.G., 1960, A variable density single-fluid model for two-phase flow withparticular reference to steam-water flow, J. Heat Transfer 82,265-272.
BAROCZY, C.J., 1966, A systematic correlation for two-phase pressure drop, Chem. Eng.Progr. Symp. Ser. 62,232-249.
BEATTIE, D.R.H., 1973, "A note on calculation of two-phase pressure losses", Nucl. Eng.Design, 25, 395^02.
151
BEATTIE, D.R.H. WHALLEY, P.B., 1982, A simple two-phase frictional pressure dropcalculation method, Int. J. Multiphase Flow 8, 83-87.
BECKER, K.M., HERNBORG, G., BODE, M., 1962, "An experimental study of pressuregradients for flow of boiling water in vertical round ducts", (part 4) AE-86.
BEGGS, H.D., BRILL, J.P., 1973, A study of two-phase flow in inclined pipes, J. PetroleumTechnol 25, 607-617.
BEHNIA, M., 1991, Most accurate two-phase pressure drop correlation identified, Oil & Gas J.,90-95.
BENNETT, A.W., HEWITT, G.F., KEARSEY, H.A., KAY, R.K.F., LACEY, P.M.C., 1965,Flow Visualisation Studies of Boiling at High Pressure, UKAEA Rep. AERE-4874.
BERGLES, A.E., CLAWSON, L.G., GOLDBERG, P., SUO, M., BOURNE, J.G., 1965b,Investigation of Boiling Flow Regimes and Critical Heat Flux, NYO-3304-5.
BERGLES, A.E., DOYLE, E.F., CLAWSON; SUO, M., 1965a, Investigation of Boiling FlowRegimes and Critical Heat Flux, NYO-3304-4.
BERGLES, A.E., GOLDBERG, P., CLAWSON, L.G., ROOS, J.P., BOURNE, J.G., 1965c,Investigation of Boiling Flow Regimes and Critical Heat Flux, NYO-3304-6.
BERGLES, A.E., ROOS, J.P., ABRAHAM, S.C., GOUDA, S.C., MAULBETSCH, J.S.,1968a, Investigation of Boiling Flow Regimes and Critical Heat Flux, NYO-3304-11.
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Chapter 6
REMARKS AND FUTURE NEEDS
The content of this TECDOC is based on work done and related activities carried out bythe institutes within Member States contributing to the Co-ordinated Research Project (CRP)on Thermohydraulic Relationships for Advanced Water Cooled Reactors as well asinformation presented at two IAEA Technical Committee meetings [IAEA (1996 and 2000)].During the process of preparing this TECDOC, the maturity of knowledge forthermohydraulic phenomena of advanced water-cooled reactors (AWCRs) and the widedegree of usage of the prediction methods for the phenomena have been considered. As aresult, emphasis within this CRP has been on the following topics:
• CHF prediction methods for AWCRs;• General film boiling heat transfer methods for AWCRs; and• Pressure drop relationships for AWCRs.
While the CRP examined the above phenomena in detail, it is important to note that itwas not possible within this CRP to examine in detail other very important thermohydraulicphenomena of interest to AWCRs. For example, transition film boiling, condensation withnon-condensables, natural circulation, and heat transfer in large pools are very importantphenomena but have not been reviewed in detail in this activity. The performed activity alsogave an idea of the difficulty in synthesizing the current understanding of the abovementioned fundamental phenomena which were addressed.
The recommendations and future needs for the phenomena addressed in this TECDOCare provided in each of related chapters in some detail. Therefore the reader should refer tothe individual chapters for the details of the conclusions and remarks. In this chapterrecommendations for the most reliable prediction methods, and comments on future needs areprovided in generic form. Detailed plans for future development are outside the purpose of theCRP.
The following are general remarks and comments on future needs:
Some years ago, it was considered that application of passive safety systems foradvanced water cooled reactor designs was limited to small to medium size plants (less thanabout 700 MW(e)). Now, as a result of further design and testing activities, passive systemsare being incorporated into designs of 1000 MW(e) and above [IAEA (1996, 1999 and2000)]. Uncertainties in phenomenology typically result in incorporation of extra margins intosystem designs. Thorough knowledge of thermohydraulic phenomena for passive systems canhelp both to achieve economical designs and to assure that the passive systems will functionas intended. For passive systems, developers of nuclear power plants need to assure thatsufficient data exist for validation of thermohydraulic codes, and that the effects ofdegradation mechanisms on system performance are well understood.
For advanced water cooled reactors with passive systems, the importance of certainphenomena (e.g. tracking of non-condensable gases, condensation of steam in the presence ofnon-condensable gases, mixing and steam condensation in large pools, natural circulation,temperature stratification and turbulence) is greater than in current designs. For suchphenomena, qualification of the associated thermohydraulic codes and methodologies relyingon best-estimate predictions and uncertainty analyses is highly important.
163
A considerable base of data for condensation heat transfer in the presence of non-condensable gases has been accumulated over fifty years. Although there had been increasedactivity in recent years in this field, because of the importance of this phenomenon toadvanced water cooled reactors, there remains a need for a thorough literature survey, and fora review and assimilation of the existing data. Because such data are very dependent onthermohydraulic conditions and system geometry, a proper review should start with plantdesign and anticipated operational and accident conditions. If it is found necessary,appropriate experiments could be carried out to extend the database for the relevant conditionswhere current data are insufficient.
For natural circulation phenomena (both single phase and two-phase naturalcirculation), there is a need for a thorough literature survey and a review and assimilation ofthe existing data for relevant geometries of the new designs. Specific aspects that should beaddressed include both establishment of natural circulation and transition from forced flow tonatural circulation.
For heat transfer in large pools of water, there is a need for a thorough literature surveyand a review and assimilation of the existing data for conditions relevant to the new designs.Specific aspects that should be addressed include mixing, condensation, and stratification.
International standard problems (ISPs) are an effective way to assess thermohydrauliccomputer codes versus experimental data. Further work in this area is recommended, as somepast ISPs have experienced large differences in predictions made with the same code. Factorswhich can be addressed within the frame of ISPs include "user effect", analyses of codeuncertainties, deficiencies in models, and needs for further experimental work. In order to useexperimental data for code validation, it is important to have proper instrumentation to collectthe needed data for important phenomena, and for use in performing uncertainty analyses ofthe experimental results.
Specifically as a result of the collaboration within the Co-ordinated ResearchProgramme, the following remarks and comments on future needs are made:
(1) The look up table (Appendix II) based on CHF in tubes is recommended as thereference method for predicting critical heat flux in advanced water cooled reactors;methods are presented for predicting CHF in rod bundles and in bundle sub-channelsusing these data for CHF in tubes together with correction factors obtained either from asub-channel codes or from correlations which account for rod geometry and neutronflux distributions. As an alternative for fuel bundles in which the rods are arranged in atriangular array, the WWER-based look-up table of Appendix III is recommended.Further efforts are needed for combining these two cited methods to develop aprediction method for CHF in rod bundles of various shapes. Further work in CHF isalso needed for predicting how the CHF spreads in the reactor core, which is necessaryin predicting the coupled thermohydraulic — neutronic response of the core.Experimental work is needed to improve knowledge of CHF especially in low flow/lowquality conditions and in high flow/high quality conditions.
(2) The prediction methods for film boiling are less advanced than those for CHF. Whilethis TECDOC reviews various methods for predicting film boiling, norecommendations for specific methods are given because important work on combiningthe most promising methods into a validated method is still in progress. The currentproliferation of film boiling prediction methods, and their limited range of validity,indicate the need for universal prediction methods, e.g. look up tables based on
164
qualified experimental data. The current status of development of such methods isreflected in the methods presented in Appendices IV, V and VI.
(3) Many prediction methods in use for the various components of pressure drop arereviewed and summarized in this TECDOC. No single unified method can berecommended due to the wide range of conditions (geometry, fluid status, flow type,flow regime) which must be addressed. It is to be noted that forced and naturalcirculation conditions should be clearly distinguished. In the latter case, the influence ofpressure drops upon the system performance is much higher. Therefore, care must beexercised in selecting proper correlations for calculating the pressure drops of theindividual components.
(4) Areas in which future work should be considered include acquisition of data forcomplex geometries (e.g. new design rod bundles and grid spacers), and for conditionsfor which the current openly available database is limited (e.g. two phase flow at lowand high mass flux; pressure drop in large diameter pipes; pressure drop at lowpressure; and vertical down flow).
(5) Supercritical water is currently being considered as a coolant medium for severaladvanced water cooled reactor concepts. The heat transfer characteristics of reactorcores cooled by supercritical water needs further investigation. Specifically the pseudo-CHF and post-CHF behaviour of supercritical water has received very little attention inthe literature.
(6) During the course of this CRP, there has been extensive experimental data exchange.Some of these data, including look-up tables for CHF and post-CHF are integrated intothe database at the International Nuclear Safety Center (INSC) at the Argonne NationalLaboratory (ANL). A sizeable database is maintained at the Heat and Mass TransferInformation Center (HEMATIC) in the State Scientific Center of the Russian Federation— Institute for Physics and Power Engineering, Obninsk, Russian Federation. Theestablishment of a distributed database which can join the contents of local databasesusing standard network connections would be useful and convenient. The use of suchdatabanks would contribute to the exchange of technical information and know-how,and to the sharing of research results among various organizations.
REFERENCES TO CHAPTER 6
IAEA, 1996, Progress in Design, Research and Development and Testing of Safety Systemsfor Advanced Water Cooled Reactors, IAEA-TECDOC-872, Vienna.
IAEA, 1997, Status of Advanced Light Water Cooled Reactor Designs, IAE-TECDOC-968,Vienna.
IAEA, 1999, Evolutionary Water Cooled Reactors: Strategic Issues, Technologies andEconomic Viability, IAEA-TECDOC-1117, Vienna.
IAEA, 2000, Experimental Tests and Qualification of Analytical Methods to AddressThermohydraulic Phenomena in Advanced Water Cooled Reactors, IAEA-TECDOC-1149,Vienna.
165
Appendix I
ACTIVITIES CONTRIBUTED TO THE CRP BY THERESEARCH GROUPS AT THE PARTICIPATING INSTITUTES
AECL, Canada
Atomic Energy of Canada Ltd (AECL) has performed experimental and analyticalstudies on CHF. They have combined the AECL and the IPPE databank of CHF up to 1993,and constructed the interim 1993 tube CHF lookup table. Since then additional CHF data havebeen added to the CHF databank. The expanded CHF databank has a total of 30 417 CHFpoints and covers a wider range of conditions.
Using the expanded CHF data, the AECL and IPPE have proposed a new CHF lookuptable covering a wider range of thermohydraulic conditions. They incorporated amultidimensional (pressure, dryout quality, mass flux and inlet subcooling) smoothingprocedure based on weighted polynomial fitting method in the CHF lookup table. The newCHF lookup table for tubes shows improved smoothness and accuracy.
In addition, the AECL has developed an interim post-dryout databank which contains atotal of 21 525 post-dryout data for vertical upward flow in tubes, and a corresponding lookuptable for post-dryout heat transfer using direct interpolation of experimental data because itusually provides good prediction accuracy and reduces computing time. The databank is beingexpanded by additional post CHF data from IPPE and CIAE.
CIAE, China
CIAE has conducted studies on film boiling, vapour convection and CHF. The filmboiling experiments with flowing water have been performed at steady-state condition usingthe directly heated hot patch technique. A great number of wall heat transfer and vapoursuperheat data have been obtained in stainless steel tube and Inconel tube with differentdiameter, covering a wide range of thermohydraulic conditions. The data fill the gap ofdatabase which are interest for the reactor accidents. The experiments involved invertedannular flow and dispersed flow, showing complicated effects of pressure, mass flux, quality,heat flux, diameter and significant history-dependence. Based on the data of wall heat transferand vapour superheat the mechanistic model has been proposed. An assessment ofRELAP5/MOD2.5 has been made based on the CIAE data. The data have been used for thelook-up table. The minimum film boiling temperatures were also measured using the samesteady-state technique. The pressure and subcooling showed appreciable effects on thistemperature, but the effect of mass flux was not appreciable. An empirical correlation wasformulated on the basis of experiment.
The experiment on the vapour convection heat transfer has been performed in tubes withdifferent diameter. The change of flow regime from turbulent to transition regime wasevidenced by a substantial decrease of heat transfer coefficient. The Reynolds number at thistransition was the function of Gr number, and varied significantly with the diameter andpressure. The correlation of heat transfer in folly developed turbulent flow and the criteria forthe transition of regimes have been proposed.
169
Low pressure subcooled CHF experiment has been conducted in tubes with differentdiameter. The effect of diameter was found to be related to the flow condition. The subcoolingand velocity had strong effects on the CHF, but the effect of pressure appeared not appreciable
NRI Czech Republic
NRI activities have involved experimental research on CHF for water cooled rodbundles modelling WWER type reactors; CHF databank for tubes, annuli and rod bundles; acomputational system based on CHF databank; and subchannel analysis code based on rodbundle data for coolant behaviour in the WWER type cores.
The SKODA Plzen a large water loop has been designed for research on CHF in waterflow through a WWER fuel bundle.
The NRI collected CHF experimental data of tubes, annuli and rod bundles into NRICHF databank. The number of data points in the NRI databank was more than 20 000.Besides, they have developed their original CHF correlations.
The NRI also develop a software enabling evaluation of CHF correlations with CHFdatabank by means of statistical methods.
The NRI has carried out system analyses covering axial distribution of DNBR(departure from nucleate boiling ratio) using their CHF correlations to compare the analyticalresults each other. They also compare results of subchannel analyses and isolated channelanalyses.
FZK, Germany
FZK has conducted experimental and analytical investigations on critical heat flux(CHF) in circular tubes of different diameters, ranging from 2 mm to 16 mm, and in tighthexagonal 7 and 37 rod bundles. The model fluid Freon-12 was used as working fluid due toits low latent heat, low critical pressure, well known properties and intensively investigatedfluid-to-fluid modelling for water and Freon-12. More than 1700 data points in tubes and1300 data points in rod bundles have been obtained in a large range of parameters: pressure1.0 MPa to 3.0 MPa, mass flux 1.0 Mg/m2s to 6.0 Mg/m2s and exit steam quality -0.75 to+0.60.
The effect of different parameters on CHF have been studied, especially the effect oftube diameter and spacers. The test data have been compared with different CHF predictionmethods, e.g. CHF look-up table, and with the CHF data available in the literature.Comparison of the CHF data in Freon-12 with that in water was made, to investigate the fluid-to-fluid scaling laws for circular tubes as well as for rod bundles.
hi the 7-rod bundles experimental investigations have also been performed on two-phase turbulent mixing. The effect of different parameters on the turbulent mixing has beenstudied.
170
BARC, India
BARC has performed studies on friction pressure drop under low mass flow conditionsfor advanced heavy water reactors (AHWR), which uses natural circulation in the primary andthe safety systems. Extensive studies are being carried out on natural circulation flow as wellas instability of natural circulation. Pressure drop experiments have been conducted on 19-rodand 37-rod fuel bundles of PHWRs and 52-rod fuel bundle of AHWR. Experimentalinvestigations have been carried out to study the effect of alignment of bundles at junctionsand creep of fuel channel on the pressure drop in PHWR fuel channels. Studies also coveredvarious components of the fuel channel like the fuel locator, end fittings, and refueling tools.
Under this CRP, BARC has compiled correlations for single-phase and two-phasepressure drop, void fraction and flow pattern transitions. A two-phase flow databank has alsobeen compiled using published data on pressure drop including flow pattern specific pressuredrop, void fraction and flow patterns. Using this databank the compiled correlations have beenassessed.
University of Pisa, Italy
Activities at University of Pisa have involved development and assessment of thespecial codes, large-system-code assessment, evaluation of experimental data, planning andconduct of experiments, code application to nuclear plants, and studies on uncertainties ofCHF predictions.
They have developed and assessed three special codes which are used for integralthermohydraulic analyses of advanced water cooled reactors, for evaluation of "isolationcondenser" performance, and for evaluation of fission product transport inside the primarycircuit and the containment vessel. Assessment and evaluation of large-system-codes havebeen carried out by comparing with test results from integral test facilities (ITF) and separateeffect test facilities (SETF). Accident analyses including severe accident are performed foradvanced water cooled reactors. Besides, they have been planning and conductingexperiments using their facilities.
Studies on uncertainties of CHF predictions have been also carried out at University ofPISA. UMAE (Uncertainty Methodology based on Accuracy Extrapolation) was developed toevaluate uncertainties in prediction of transient and accident scenarios by thermohydraulicsystem codes. Since the use of UMAE is limited to only the ITF, UMAE-SETF is beingdeveloped to use vast data from the SETF. The UMAE-SETF considers only a specificphenomenon in a transient or an accident condition. Then similarity analyses and grouping ofexperimental data are performed to establish calculational database. Using the database andsame methodology in the UMAE, extrapolation of accuracy and uncertainty are estimated forsingle phenomenon.
ENEA, Italy
ENEA activities have involved the development of computer codes for the thermohydraulicdesign of reactor cores and experimental researches supporting both the core design and thecodes development.
171
The reference code is the ANTEO code, a subchannel model for the steady-stateanalysis of reactor core rode bundles. The wide experience available in the field of subchannelcodes has allowed to develop a simple, fast and user-oriented code running on a PC machine.Due to its characteristics, the code can be used for comparison among different models, forinstance for comparing different CHF models.
Experiments were performed mainly in the field of pressure drop and flow distributionin different geometries of interest for the reactor core design. Particularly, pressure drop in rodbundles with helical wire wraps system were measured. Part of the investigations wereextended down to the low flow region, in order to cover the natural circulation range.
KAERI, Republic of Korea
KAERI has conducted experiments on CHF and on natural circulation including a singlerod CHF test, a 3x3 bundle CHF test and a natural circulation test. Objectives of the single rodCHF test are to obtain fundamental CHF data and to understand thermal hydraulic phenomenaunder abnormal conditions such as LOCA and pump trip. In the 3 x 3 rod bundle test, twotypes of tests were made; steady state test under low flow and under boil off conditions, andtest of power or flow rate transient. The objective of the natural circulation test is tounderstand fundamental characteristics of natural circulation, heat transfer capability of theheat exchanger and characteristics of boiling phenomena.
A study on hydraulic characteristics in rod bundles has been also carried out by theKAERI. Heat transfer improves near spacer grids in the rod bundles. To understand thisbehaviour, hydraulic characteristics near the spacer grids should be clarified before thermalcharacteristics. Besides, hydraulic characteristics are useful to develop the local thermaldiffusion coefficient in a subchannel analysis code.
Furthermore, heat/mass transfer study has been performed using Naphthalenesublimation technique, which measures mass transfer coefficients in the complex geometrywhere the conventional heat transfer measurement is impossible. The objective of this study isto investigate mechanism and analogy of heat/mass transfer at the complicated flowconditions.
KAIST, Republic of Korea
CHF at low pressure and low flow (LPLF) conditions is a key thermohydraulicphenomenon which may limit thermal power under natural circulation and accidentconditions. KAIST has performed a series of LPLF CHF experiment for both stable andoscillating flow conditions. Totally 523 stable CHF data have been obtained with verticalround tubes of various diameters and heated lengths for low pressure, low flow, and highquality conditions. Parameteric trends were examined and existing prediction models wereassessed against the data. KAIST also performed some tests to identify the effects of flowoscillations and circulation modes on LPLF CHF.
In addition to the LPLF CHF study, an independent assessment was conducted for theapplicability of the AECL-IPPE CHF table to predicting CHF in round tubes and bundles.Some works on the development of a length correction factor was also conducted.
172
IPPE, Russian Federation
It is significantly important to know CHF for water flowing in various channels forsafety analyses of water cooled reactors. An international collaboration with IPPE, AECL,Technical University of Branschweig and KfK has led to joint studies on CHF. In that way, aJoint International Data Bank (JIDB) on CHF in tubes has been established covering the mostavailable data in the world. Then the lookup table 1996 version was proposed and containsabout 30 000 data points for tubes.
The lookup table has been tested against the JIDB for the 8 mm tubes to show that thelookup table has satisfactory features of accuracy and smoothness. The CHF at low flow rateand low pressure, however, show complicated behaviour possibly due to complicated role ofbuoyancy, flow instability, geometry effects on flow stability, and near sound velocity.Besides, there are a few amounts of data in the regions so that accuracy of the CHF predictionis insufficient.
A post-dryout heat transfer table was developed and covers a wide range ofthermohydraulic conditions. The number of data points is 42 800. The heat transfercoefficients are expressed as a function of pressure, mass flux, quality and heat flux. In IPPEhas been developed Look-Up Table CHF WWER rod bundles for wide range parameters.
PSI, Switzerland
PSI has developed together with institutes in some other OECD countries a methodology toestablish SET (Separate Effect Tests) validation matrix. The SET validation matrix is aninformation which collects the best set of test data available for calculational code validation,assessment and improvement. The SET validation matrix report can be used for codedevelopment and quantitative uncertainty analyses.
In the SET matrix, a particular attention has been paid in definition of each phenomenonsince the level of the state of knowledge for different phenomenon varies. Internationallycoordinated works are necessary to compensate the short of the knowledge. The first volumeof the SET matrix report provides cross references between test facilities and thermalhydraulic phenomena, and list of tests classified by phenomena. Presently 67 phenomena and2094 tests have been identified and selected in the matrix.
Different CHF correlations and CHF lookup tables have been examined and analyzed bythe PSI. The correlations were tested in thermohydraulic analyses under low mass flow andlow pressure conditions like small break LOCA, and under high mass flow and high pressureconditions like large break LOCA. The influences of major physical and geometricalparameters on CHF are investigated. The behaviour in a correlation based on local conditionswas compared with that in the CHF lookup table.
Middle East Technical University, Turkey
Condensation heat transfer in the presence of a non-condensable gas such as air oftendominates the cooling performance of the safety systems used in advanced water cooledreactors. Since there is a need for more experimental data on in-tube condensation in thepresence of non-condensable gas, an experimental research has been carried out by Middle
173
East Technical University in collaboration with Turkish Atomic Energy Authority which waspartially sponsored by International Atomic Energy Agency.
A test facility with a vertical single-tube, once-through type of heat exchanger wasconstructed to examine the non-condensable gas effect on heat transfer associated with in-tube condensation.
In this research work, in-tube condensation in the presence of air has been investigatedexperimentally for different operating conditions, and inhibiting effect of air is analyzed bycomparing the experimental data of air/steam mixture with the data of corresponding puresteam cases, with respect to temperature, heat flux, and heat transfer coefficient. The testmatrix covered the range of; Pn = 2-6 bar, Rev = 45000 - 94000, and Xj = 0% - 52%.
The inhibiting effect of air manifests itself as a remarkable decrease in centerlinetemperature (10°C-50°C), depending on inlet air mass fraction. However, the measuredcenterline temperature is suppressed compared to the predicted one, from the Gibbs-DaltonLaw, which indicates that the centerline temperature measurements are highly affected byinner wall thermal conditions, possibly due to narrow channel and high vapour Reynoldsnumber.
Even at the lowest air quality (10%) the reduction of the heat flux is 20% while itreaches up to 50% for the quality of 40%. Maximum percent decrease of the heat transfercoefficient was observed in runs with the system pressure of 2 bar; 45% and 65%, for the airmass fraction of 10% and 28%, respectively. The film Reynolds number of cases with purevapour and air/vapour mixture lies in the range of turbulent region (Ref > 300).
The RELAP5 code, using Shah-Colburn-Hougen model, overestimates the heat fluxdata from about 5% to 50%. However, the majority of the predicted values of the Nusseltnumber fall in the uncertainty band (±24%) of experimental data.
Argonne National Laboratory, USA
Argonne National Laboratory (ANL) hosts the US Department of Energy (DOE) InternationalNuclear Safety Center (INSC). One of the main goals of the INSC is to promote theinternational exchange of information and data to enhance the safety of nuclear installations.The INSC has developed a database, accessible on the World Wide Web, to support theCenter activities and facilitate the exchange of information among international organizations.The database contains nuclear installation and nuclear safety information. Argonne NationalLaboratory contributes the INSC database facility, its support and maintenance structure to thepresent IAEA Coordinated Research Project. ANL has offered the INSC database to become acommon repository of data on thermohydraulics of nuclear reactors-look-up tables, rawexperimental data, software tools, correlations and prediction methods, and references -provided by organizations participating in the CRP that have experimental programs in thisarea. The data and information contributed by these organizations are stored in the INSCdatabase and maintained by ANL. Data related to thermophysical material properties, incoordination with another IAEA Coordinated Research Project is already being stored in theINSC database (http://www.insc.anl.gov). The addition of thermohydraulics datacomplements the existing nuclear safety related information in the INSC database(http://www.insc.anl.gov/thrmhydr/iaea/chf).
174
Appendix II
THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN TUBES
Table ILL has been published previously by Groeneveld et al. (1996). It contains CHF valuesin kW/m2 as a afunction of pressure, mass flux and thermohydraulic quality. The shadednumbers refer to CHF values having a less sound basis (based either on questionable data oron extrapolation.
175
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.rrr2)1.Pressure(kPa)
100
100
100
100
100
100
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100
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300
300300300300300300300300300300
300300300300300300300
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Mass Flux(kg.m-2.s-l)
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2888
2975
3293
3406
3527
3662
3652
3485
3404
2840
2816
3079
3093
3096
3116
3135
0.25 0.3
142 130
620 609
1093 1084
1536 1502
1798 1725
2129 2028
2195 2084
2212 2054
2217 1985
2245 1941
2282 1937
2327 1960
2353 2026
2401 2097
2454 2156
2492 2167
2502 2208
2507 2251
2530 2291
2550 2326
317 234
813 745
1230 1211
1895 1828
2185 2072
2388 2283
2424 2301
2462 2320
2444 2282
2426 2245
2407 2154
2389 20442405 2064
2489 2200
2572 2259
2610 2269
2625 2291
2649 2337
2670 2376
2697 2407
374 278
1005 921
1566 1525
2527 2409
2695 2498
2923 2629
3154 2782
3261 2790
3335 2696
3428 2621
3350 2426
3154 2345
3064 2352
2783 2354
2690 23622727 2371
2749 2389
2791 2408
2811 2426
2832 2463
0.35
1206001078
1475
1714
1870
1905
1950
1846
1738
1684
1638
1696
1798
1863
1912
1968
2019
2066
2108
1947081190
1771
1869
1968
2021
2066
1916
1806
1692
17181846
1867
1914
1970
2073
2115
2152
2185
2268651492
2050
2187
2277
2260
2184
1991
1871
1700
1798
1871
1903
1964
2025
2084
2147
2190
2236
0.4
1115911070
1378
1615
1655
1857
1918
1779
1596
1449
1316
1378
1496
1587
1662
1731
1792
1848
1898
1786861168
1636
1700
1766
1834
1771
1700
1577
1390
1372
1490
1536
1667
1742
1809
1868
1920
1966
2078261440
1799
1887
1911
1811
1696
1535
1427
1330
1428
1483
1577
1676
1760
1837
1901
1958
2010
0.45
1035821060
1243
1486
1632
1856
1889
1693
1472
1264
1098
1145
1262
1355
1437
1511
1577
1638
1693.
1716601118
1494
1539
1586
1615
1571
1524
1380
1258
1166
1203
1303
1402
1488
1565
1634
1697
1753
1917931391
1552
1593
1547
1453
1383
1290
1224
1214
1234
1261
1337
1434
1519
1599
1670
1734
1791
0.5
995701037
1151
1463
1631
1856
1815
1582
1315
1059
8919391054
1149
1230
1305
1374
1436
1495
1706421081
1418
1447
1545
1525
1410
1327
1180
1043
9359781088
1187
1273
1351
1422
1486
1545
1837541292
1489
1414
1385
1268
1164
1067
9729639731016
1111
1210
1300
1379
1451
1517
1577
0.6
845139619791188
1434
1597
1466
1162
8426105035916937768539259931056
1116
1496011026
1203
1155
1174
1103
1029
957777581545
610
7107998799541024
1089
1150
1516111158
1188
959962911852605570541555624719810893971
.1042
1109
1171
0.7
74401747751752850839674494341220239324398466530592651708763
143472857866764677568490407333264275340411477543608669728784
1504931045
1049
774635543335298283271301358420482548
,615
678738795
0.8
68288550626.
558428348183806170108151194238282326369413458
143391669695574439220143746177111
152191237283329374420465
149476875919622445271130726182115153190235282330376423469
0.9
6725341655041520610962121533517192113135157179201223
"903004735645212881316023.19345169,90112136159' 182
204227
14035953960755430123265292135516888111135159182206
- 229
1
00000000000000000000
000000000000
0
0000000
00000000000000000000
Note: shaded are denotes less relaible data.
176
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.nT2).(Continued)
Pressure Mass Flux(kPa) (kg.m-2.s-l)
Quality
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
5000
5000
5000
5000
5000
5000
5000
50005000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
0501003005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0501003005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0501003005001000
1500
20002500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
. 6583
' 7307
• 7888
8463
8655
9003
9523
10680
11975
12932
13887
14813
15714
16584
17426
18238
19035
19813
20584
21353
' 5951
6644
7234
7680
7918
8364
9068
10362
11531
12458
13348
J4214
15045
15844
16626
17388
18126
18845
19549
20238
-0.4
5927
. 6575
7106
7476
7674
7776
8313
9563
10928
11900
12661
13379
14077
14778
15454
16101
16814
17464
18107
18730
5460
6095
6636
' 6990
7164
7454
8009
9287
1OS9911530
12271
12958
13625
14283
14896
15495
16100
16707
17296
17880
-0.3
5619
6371
6981
7492
7577
7594
7700
8187
8962
9731
10456
11146
11816
12447
13033
13573
14101
14608
15109
15629
5252
5972
6580
7307
7578
7660
7824
8427
9397
10414
11230
11939
12608
13200
13765
14321
14849
15350
15834
16299
' 4941
5629
6223'
6769
6943
7171
7470
81599179
10191
10990
11651
12254
12804
13352
13856
14340
14796
15245
15671
-0.2
4685
5523
62S2
7295
7464
7466
7468
7552
7788
8149
8659
9203
9746
10239
10745
11285
11770
12172
12524
12866
4544
5386
6114
7303
7560
7598
7647
7706
8034
8640
9396
10174
10862
11500
12044
12489
12926
13332
13724
14090
4459
5224
5891
6737
6900
7014
7142
73467837
8483
9196
9917
10566
11186
11741
12319
12662
12961
: -0.15
4058
4991
5685
7089
7327
7329
7349
7424
7544
7728
8005
8342
8754
9182
9599
10064
10479
10857
11194
11463
4205
5107
5897
7302
7554
7560
7578
7640
7681
7947
8434
9013
9586
10262
10824
-0.1 -0.05
3564
4436
5281
6901
7177
7192
7230
7281
7314
7370
7450
7591
7750
78598124
8595
8933
9325
9725
9958
3891
4857
5708
7300
7541
7548
7560
7567
7634
7643
7824
8028
8292
8818
9249
1138510063
1194610878
1205311351
1242911527
1278911585
4230
5030
5734
6722
6882
6944
7025
7139
74587761
8178
8669
9102
9669
10379
11076
4011
4840
5573
6686
6819
6829
6859
6944
71957353
7551
7764
7980
8443
8952
9876
1177310800
1197111295
13320 12236 11413
13711 1270111561
2859
3928
4851
6766
7110
7124
7153
7192
7202
7206
7179
7143
7141
6988
6794
6647
6351
6654
7272
7773
3536
4570
5479
7298
7627
7518
7471
7453
7441
7439
7437
7418
7365
7348
7402
7735
8193
8542
8891
9157
3762
4626
5387
6677
6812
6743
6707
6593
65656543
6527
6476
6502
6655
6807
7558
8118
8492
8865
9151
0
2175
3323
4268'
6620
7048
7022
7013
7012
6979
6966
6910
6778
6500
5900
5800
5530
5228
4850
5409
6039
3022
4135
5057-
7255
7621
7512
7436
7298
7158
7069
6995
6832
6566
6039
6188
6382
6446
6507
6526
7075
3360
4294
5065
6619
6739
6595
6441
6110
58495664
5421
5139
5044
4986
5334
5744
5954
6049
6189
6556
0.05
1910
2944
3386
6215
6818
6705
6604
6401
6100
5900
5800
5752
5537
5107
4822
4654
4460
4232
4227
4447
2429
3478
,4121
6954
7496
7444
7250
6723
6226
5966
5829
5753
5570
5258
5134
5070
5002
4694
4644
4971
2628
3606
4165
6280
6395
6107
5779
5262
49154750
4581
4421
4317
4255
4253
4314
4356
4363
4478
4717
0.1
1438
2469
2799
5289
S771
5694
5532
5196
5028
4920
4849
4757
4627
4361
4239
4096
3913
3734
3683
3684
2009
3061
3502
5922
7000
6846
6661
6026
5599
5339
5131
4966
4792
4610
4431
4332
4181
3888
3817
3980
2234
3225
3609
5401
5734
5662
5317
4779
45154321
4144
3916
3784
3723
3656
3627
3603
3613
3749
3975
0.15
1030
2071
2651
4760
5094
5042
4989
4720
4668
4647
4628
4584
4477
4211
4085
3966
3804
3547
3525
3536
1564
2653
3326
5380
6400
6208
5980
5315
4880
4712
4586
4471
4348
4242
4136
4061
3931
3705
3643
3715
1791
2837
3458
5007
5296
5289
4899
440539S13782
3693
3540
3457
3454
3421
3415
3397
3445
3547
3695
0.2
7171752
2531
4456
4660
4634
4422
4404
4397
4391
4385
4380
4304
3924
3729
3625
3484
3336
3287
3341
1145
2266
3186
5211
5660
5620
5043
4507
4175
4094
4067
4021
3945
3867
3794
3753
3693
3557
3459
3548
1346
2450
3315
4907
5178
4957
4530
3984
3594
3428
3380
3317
3260
3251
3240
3239
3235
3291
3350
3482
0.25 0.3
519 389
1559 1414
2415 2292
4120 3432
4233 3856
3953 3264
3952 3236
3952 3143
3924 2999
3898 2880
3865 2765
3794 2723
3715 2689
3338 2581
3112 2523
3050 2519
2973 2497
2867 2461
2851 2478
3061 2571,
892 '699
2041 1865
3051 2926
4936 4635
5269 4807
4728 4200
4364 3792
3991 3485
3702 3152
3619 2963
3540 2705
3424 2463
3273 2302
3121 2196
3006 2155
3042 2265
3067 2360
3084 2530
3103 2699
3291 2904
1083 877'
2224 2047
3174 3061
4741 4509
5027 4588
4676 4166
4074 3623
3610 3206
3401 30673268 2855
3109 2510
2945 2221
2799 2059
2745 1990
2717 1992
2688 2091
2711 2303
2801 2510
3051 2667
3290 2882
0.35
3121307
2184
2600
2754
2670
2429
2259
2081
1955
1797
1891
1953
1978
2017
2063
2115
2178
2246
2306
'568
1722
2796
3997
4297
3745
3422
2958
2369
2085
1715
1474
1514
1610
1712
1853
2043
2209
2390
2413
7311896
2936
4202
4244
3759
3337
2865
24742024
1688
1437
1425
1470
1583
1812
2034
2189
2329
2405
0.4
286'
1230
2041
2151
2284
2035
1557
1373
1281
1234
1252
1484
1498
1579
1703
1767
1852;
1945
2006
2062
5021614
2625
3322
3392
3079
2691
2279
1726
1423
1329
1234
1311
1505
1650
1738
1876
2008
2073
2112
6381774
2803
3881
3975
3447
2983
2557
18611406
1195
1140
1247
1385
1504
1679
1869
1951
2021
2074
0.45
2701157
1891
1924
1979
1741
1145
9809259081059
1292
1327
1363
1469
1555
1633
1707
1774
1834
4521521
2475
3177
3376
2910
2130
1686
1252
1037
1127
1228
1306
1405
1500
1542
1622
1755
1825
1885
5711666
2655
3659
3803
3322
2569
1973
1301948
9581108
1242
1295
1459
1529
1611
1689
1764
1829
0.5
2561076
1703
1708
1659
1516
9307136907011000
1021
1034
1126
1235
1325
1406
1480
1548
1612
4131418
^2367
3173
3324
2618
1728
1211
8677721020
1118
1145
1173
1252
1311
1388
1514
1588
1654
5151553
2476
3315
3503
3086
2134
1332
921793
8741049
1187
1205
1234
1296
1370
1444
1519
1588
0.6
1988761312
1343
1035
958637541512510595605643726816902983'
1057
1126
1190
3211409
2191
2865
2745
1925
1080
6084315206786997137668468769821062
1138
1205
4051532
2300
2973
3040
2066
1194
668401584
6456887347868048509139891064
1130
0.7
1888061291
1289
825592411343306349-
356375401438484546616681744802
2751400
1936
2078
1841
1242
626373308374431440445466493532589656724787
3451512
2148
2543
2459
1433
913650313420
441441453472481500531592656717
0.8
1818041250
1215
7674523701378495108134159188227275326375
"423
470
2661392
1587
15361
1320
83049933089129137147163179197234282333385437
3419451757
1823
1769
1034
899650117132
149151167:
164182211239282328379
0.9
175"
700.
7326605893382668625303651~6583104129155'
180204227
2561000
1015
953835471312
'216
- .25
4544
' 54
63.' 72
83103129 .
155181207
323 "
8301080
1215
1118
7637445265353
555S61667694110 .
130154178
1
600000000000000000
60
000000000000
b0000000
0000
6000000d
0,
600000
177
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.m"2).(Continued)
Pressure Mass Flux(kPa) (kg.m-2.s-l)
Quality
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
8000
0
50
100
300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0
50
100
300500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0
50
100
300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
'5626
6300
6873
7318
7573
8080
8817
10109
11237
12123
12969
13791
14582
15341
16091
16823
17524
18210
18884
19548
5361
: 6002'
6539
6998
7264
7798
8557
9793
10882
11730
12535
13317
14070
14792
15509
16208
16875
17529
18170
18806
I 5101
^5714
;': 6229;
6685
6958
7518
8280
9465
10508
11320
12091
12839
13559
14251
14934
15597
16235
16859
17470
18075
-0.4
5219
5838
6366
6710
6883
7185
7758
9053
10324
11219
11949
12626
13274
13920
14489
15039
15635
16212
16771
17309
5010-.
5599
6094
6441
6617
6930
7520
8774
9986
10850
11558
12216
12839
13465
14000
14521
15091
15640
16174
16673
4795
•.; 5359:
5«34*
6179
6354
6668
7266
8470
9633
10465
11136
11763
12361
12945
13466
13983
14521
15043
15550
16026
-0.3
4798
5443
5999
6451
6586
6742
7023
7842
8947
9913
10669
11288
11857
12372
12910
13396
13826
14268
14706
15140
/4651
5236
5738
6104
6233
6386
6715
7597
8709
9620
10344
10929
11469
11954
12474
12931
13336
13763
14182
14610
"4484^
5025
\5487'
" 5792'
5920
6144
6556
7416
8457
9316
10017
10584
11093
11568
12056
12477
12879
13288
13689
14098
-0.2
4387
5092
5708
6395
6512
6576
6667
6970
7698
8360
8979
9594
10119
10555
11165
12151
12525
12743
13013
13347
4293
"4926
5474
6015
6123
6216
6339
6676
7496
8170
8740
9320
9769
10124
10713
11464
12214
12432
-0.15
4185
4920
5567
6379
6480
6502
6585
6796
7356
7693
7986
8324
8549
8820
9671
10623
-0.1
3995
4760
5434
6330
6364
6256
6331
6559
7038
7264
7458
7679
7682
7811
8416
9568
1157510720
1183811239
1206311299
12447 11537
4118
4778
5355
6002'
6088
6135
6253
6480
7142
7523
7757
8041
8188
8354
9223
10460
3954
4644
5245
5947
5953
5799
5886
6142
6690
6953
7135
7398
7399
7427
8025
9338
1143210650
1171811183
12682 1174011185
12995
4175
' 4744:
"5235;
5654
5763
5919
6124
6490
7323
7976
8489
9021
9494
9938
10488
11140
11791
12019
12260
12584
1206711187
;,4022;
4615
:5132
5637
5718
5765
5911
6179
6937
7376
7576
7836
8078
8351
9083
10142
10678
.3883
•4503:
5039
55771
5605
5314
5334
5626
6335
6702
6794
7014
7215
7424
7990
9265
9903
1121410542
1123510544
1155510546
-0.05
3777
4575
5273
6310
6316
6114
6146
6167
6235
6241
6243
6245
6247
6336
6533
7356
8043
8441
8839
9144
:3762
4483
5105'
5886
5940
5604
5603
5684
5806
5816
5848
5938
6061
6225
6409
7226
7804
8065
8202
8424
3716
4362
4916
5512
5597
5072
5042
5178
5386
5426
5461
5626
5921
6106
6213
6851
7172
7253
7292
7482
0
3415
4272
4973
6255
6261
6008
5787
5531
5383
5237
4962
4590
4578
4701
4793
5118
5370
5556
5779
6019
;;3426
. 4198
[ 4818
5865
5887
5505
5145
4952
4876
4724
4567
4372
4410
4552
4682
4752
4867
5055
5208
5405
3403
U4081
•4650
5484
5544
5040
4774
4623
4575
4348
4205
4145
4248
4394
4479
4526
4629
4766
4874
4967
0.05
2669
3564
4079
5942
5978
5633
5138
4716
4543
4449
4218
3787
3624
3674
3751
3824
3900
4010
4287
4481
;2692'
• 3498
3957
5582
5690
5318
4673
4275
4104
3981
3834
3469
3347
3378
3454
3483
3535
3745
3974
4172
7 2547
31;70.
: 3796
5250
5324
4997
4459
4015
3816
3609
3479
3241
3137
3169
3283
3352
3419
3593
3748
3931
0.1
2291
3191
3530
5126
5371
5334
4703
4227
4030
3882
3651
3318
3133
3115
3148
3169
3211
3305
3660
3966
2336
3137
3401
4834
5134
5070
4301
3785
3537
3369
3199
2928
2743
2696
2710
2714
2784
3006
3339
3727
'2044
;2622
3239
4549
4784
4755
4066
3483
3144
2906
2798
2592
2403
2420
2478
2510
2556
2843
3136
3490
0.15
1859
2812
3377
4783
5005
4857
4326
3875
3545
3340
3219
3038
2922
2918
2936
2946
2979
3095
3411
3675
1918
2769
3239
4494
4682
4472
3874
3407
3147
2940
2786
2645
2515
2458
2471
2470
2519
2708
3032
3483
1674
2374
3086
4207
4306
4106
3562
3039
2769
2535
2381
2238
2116
2120
2177
2237
2432
2558
2935
3380
0.2
1416
2431
3237
4679
4822
4429
3964
3532
3244
3043
2961
2893
2814
2795
2816
2843
2886
2988
3187
3423
1485
2397
3093
4247
4316
3892
3486
3122
2922
2714
2565
2490
2418
2380
2382
2415
2466
2595
2913
3384
1295
2169
2969
3911
3829
3452
3137
2749
2551
2340
2179
2084
2037
2031
2070
2159
2391
2466
2820
3376
0.25 0.3
1150 941
2204 2023
3089 2966
4496 4269
4683 4333
4177 3788
3637 3309
3229 2919
3054 2797
2876 2560
2696 2235
2570 1995
2470 1863
2432 1792
2475 1877
2506 2049
2586 2247
2795 2492
2980 2635
3262 2860
1212 996
2165 1981
2941 2820
4046 3862
4157 3900
3626 3347
3189 2964
2890 2731
2723 2445
2491 2133
2294 1896
2201 1730
2139 1640
2105 1591
2146 1673
2213 1840
2330 2140
2464 2260
2779 2541
3259 2846
1195 994
2006 1871
2837 2708
3759 3642
3583 3411
3103 2847
2863 2639
2551 2345
2319 1899
2093 1694
1947 1616
1893 1528
1867 1475
1821 1450
1878 1570
1998 1721
2207 2027
2287 2179
2611 2287
3257 2798
0.35
787
1871
2854
4066
4077
3528
3056
2640
2311
1887
1522
1376
1358
1319
1459
1755
2026
2169
2268
2359
8341826
2707
3632
3634
3136
2735
2451
1983
1570
1323
1228
1200
1193
1308
1539
1879
2014
2199
2288
8381761
2601
3458
3248
2749
2355
2014
1514
1253
1128
1063
1066
1147
1300
1519
1794
1832
1980
2157
0.4
6861749
2724
3800
3812
3418
2839
2383
1632
1093
871
988
1154
1237
1363
1621
1760
1822
1901
1981
7231706
2595
3430
3469
3031
2523
2023
1367
967
782
840
9301010
1154
1385
1599
1687
1773
1851
731
1667
2507
" 3328
3096
2560
2001
1559
1099
811
696702
783
923
1076
1256
1514
1585
1654
1718
0.45
"608
1645
2598
3584
3707
3263
2550
1789
930571
582952
1133
1183
1345
1405
1468
1545
1632
1717
641
1604
2489
3318
3366
3028
2250
1445
789553
519734
872
949
1102
1228
1311
1401
1489
1576
'653
1579
2417
3212
2964
2331
1661
1068
655
524
501
603
738859988
1136
1225
1316
1402
1479
0.5
5471537
2431
3283
3468
2964
2068
1096
519
477
5769521124
1130
1149
1192
1250
1314
1394
1479
5751501
2302
3065
3157
2838
1728
844
424
425
490732
854888
9521032
1108
1186
1269
1353
591
1490
2281
2893
2629
2069
1209
656
396
397
470
577676756850
938
1025
1111
1193
1272
0.6
439
1229
1833
2663
2874
1965
1029
532
370
472505580
622650
698
756
818
887
9601034
4661200
1710
2402
2596
1774
805
432
261
346
409
470
492
521
582655
725
795
866
936
542
1183
1678
2144
2068
1413
643
388
237
307
385
401
425
470535
607678
747
814
881
0.7
3489891647
2330
2374
1257
785518
305
353
382
384
386
390
411
438472
528
587
646
369984
1515
2144
2213
1121
488
322
204
263
317
317
317
326
348379
422
476
530
581
'456
980
1457
1877
1858
944
364
250
178
225
258
258
259
275304
346
396
447
498
548
0.8
344'
942
15111766
1636
803
714
439
107
122
145
146
147
148
167196223
260299
341
3579401479
1735
1587
735273
19699112
135
136
137138
153179
210
243
277
312
423
938
1449
1538
1427
554
205
154
96111
122
122
122
125139
165
197
228
260
295
0.9
327
823
1070
1193
1061
735
707
435
52
52
57
596064'74
90
105
123"
142
162
339
774
1060
1179
1029
613
259
190
"51
5257
58
5963
7084
99
116'
132
149
364
720
1050
1083
917511195134
4950555657596577
93
108124
140
1
0
000
00000
0
0
000
00000
0
00
0
0
00
0
0000
0
00
000
p00
00
00000
0
000
0q00000
60
178
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.m-2).(Continued)
Pressure Mass Flux(kPa) (kg.m-2.s-l)
Quality
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
11000
11000
11000
11000
11000
11000
11000
1100011000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
0
50100
300
5001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0501003005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
050
100
300
500
1000
1500
20002500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
4836
5422
5916
6366
6641
7221
7976
9111
10108
10887
11622
12336
13022
13683
14332
14962
15570
16165
16748
17323
1 4568
5126'
5597
6039
6318
6912
7650
8720
9664
10400
11099
11783
12444
13081
13694
14268
14835
15399
15952
16496
4294'
• 4821,
' 5267
5694
5966
6553
72SI
82859166
9861
10518
11153
11765
12351
12922
13495
14034
14562
15082
15594
-0.4
4571
5114
5571
5916
6100
6432
7023
8171
9252
10041
10683
11283
11857
12418
12927
13402
13909
14403
14881
15340
4337
4857
5296
5642
5831
6184
6747
7826
8829
9580
10200
10775
11327
11867
12355
12772
13236
13708
14166
14588
4095
4588
5006
5346
5534
5906
6484
74698371
9055
9636
10169
10675
11158
11622
12064
12509
12953
13381
13784
-0.3
4301
4813
5251
5527
5668
5947
6356
7160
8185
8998
9660
10200
10680
11127
11580
11998
12387
12779
13166
13551
'4103
4591
5007
5266
5417
5732
6118
6896
7895
8648
9259
9774
10230
10655
11078
11467
11837
12204
12567
12938
3891
4356
4752
5002
5145
5430
5794
66007589
8268
8798
9265
9696
10092
10478
10871
11220
11560
11899
12241
-0.2
4034
4547
4988
5300
5412
5625
5856
6258
7162
7755
8227
8756
9235
9685
10180
10758
11336
11578
11824
. -0.15
3902
4432
4892
5260
5332
5398
5535
5863
6749
7210
7395
7669
7924
8259
8872
9759
10230
10702
10747
12107 10954
.3874
4336
' 4734
4961
5074
5328
5570
6030
7010
7587
8008
8533
8989
9402
9834
10320
10808
11028
11253
11536
3694
.4124
4492
4672
4765
4911
5105
573268077343
7680
8151
8592
8934
9284
9741
10197
10403
10634
10923
3760
4230
4637
4891
4965
5073
5212
5591
6589
7077
7253
7582
7824
8114
8616
9342
9713
10083
10103
10351
3599
4017
4379
4560
4640
4665
4739
52706361
6854
7019
7358
7672
7863
8203
8840
9174
9509
9563
9825
-0.1
3783
4335
4811
5239
5205
4936
4958
5299
6025
6399
6453
6674
6936
7305
7818
8777
9257
9737
9739
9741
3658
4146
4565
4870
4855
4676
4712
5000
5726
6149
6254
6503
6787
7092
7476
8224
8600
8975
8977
8979
3513
3938
4303
4526
4516
4365
4389
46755371
5785
5939
6242
6551
6753
7035
7663
7996
8328
8334
8435
-0.05
3639
4213
4704
5236
5147
4705
4693
4835
5004
5097
5140
5266
5469
5645
5764
6149
6353
6355
6394
6556
3534
4040
4472
4868
4800
4463
4476
4575
4678
4779
4797
4841
4940
5116
5265
5687
5912
5926
5940
5955
3407
3844
4217
4505
4468
4197
417i
42214332
4446
4491
4605
4757
4892
5020
5414
5637
5655
5673
5692
0
3352
3960
4462
5194
5114
4703
4467
4196
4119
4045
3995
3983
4047
4183
4272
4331
4416
4542
4637
4714
3274
3814
4253
4832
4765
4376
4178
3974
3901
3891
3830
3728
3754
3898
4034
4147
4241
4267
4279
4484
3175
3646
4027
4452
4393
4035
3806
36953676
3668
3619
3503
3566
3707
3849
4024
4157
4188
4209
4231
0.05
2503
3071
3658
4944"
4925
4697
4189
3569
3339
3240
3155
3066
3026
3080
3210
3303
3344
3482
3660
3838
2464"
3002
3512
4636
4599
4328
3843
3349
3191
3089
3005
2909
2892
2977
3114
3227
3275
3390
3559
3783
2437
2917
3358
4236
4218
3837
3390
31223005
2920
2843
2761
2765
2890
2985
3128
3262
3347
3497
3680
0.1
1977
2528.
3134
4270
4243
4204
3730
3097
2797
2604
2487
2349
2245
2249
2355
2421
2492
2788
3076
3419
1922
2482
3015
4016
4013
3822
3402
2872
2623
2444
2327
2178
2087
2088
2208
2286
2378
2707
2995
3325
1880
2416
2892
3709
3706
3389
2982
26192461
2257
2127
1952
1999
2004
2108
2210
2360
2669
2915
3152
0.15
1637
2304
2976
3692
3625
3520
3227
2746
2521
2289
2124
1931
1827
1836
1963
2126
2346
2527
2877
3342
1596
2256
2865
3506
3353
3225
2958
2468
2258
2030
1877
1686
1605
1612
1742
1927
2206
2422
2729
3120
1560
2184
2727
3392
3250
2981
2564
21951970
1695
1570
1471
1476
1540
1677
1846
2118
2349
2635
2836
0.2
1290
2110
2841
3478
3364
3118
2850
2448
2241
2038
1896
1750
1719
1755
1856
2045
2317
2402
2745
3299
1276
2057
2728
3393
3165
2936
2559
2106
1901
1701
1591
1470
1476
1562
1692
1902
2200
2309
2594
2988
1270
1985
2589
3301
3083
2693
2201
17721537
1311
1251
1266
1336
1491
1645
1823
2112
2256
2511
2703
0.25 0.3
1179 992
1945 1810
' 2697 2575
3344 3257
3160 2999
2854 2661
2712 2495
2312 1931
1942 1373
1724 1354
1643 1276
1604 1375
1631 1385
1663 1416
1760 1542
1937 1699
2197 1985
2245 2070
2567 2142
3162 2736
1163 991
1890 1750
2582 2457
3315 3233
3038 2871
2680 2484
2393 2102
19121402
1601 1035
1419 1001
1361 1062
1345 1147
1410 1262
1539 1383
1663 1496
1821 1641
2098 1895
2182 2003
2483 2092
2864 2621
1146 '989
1820 1673
2441 2299
3207 2996
2957 2761
2389 2153
1934 1567
1484 9721265 818
1109 802
1101 820
1160 962
1256 1133
1440 1299
1578 1416
1716 1518
2032 1743
2110 1824
2375 2020
2634 2467
0.35
8431699
2458
3065
2887
2545
2034
1428
1028
9679529821037
1152
1290
1500
1710
1785
1800
2042
8491641
2347
2987
2644
2171
1655
9726666477238701016
1130
1261
1440
1687
1720
1733
2015
8541579
2230
2872
2395
1682
1212
738529
457
524
733
922
1057
11811326
1521
1591
1689
1976
0.4
7391610
2373
2894
2741
2118
1429
1027
809
708
650664771908
1071
1219
1431
1497
1557
1620
7481555
2266
2781
2239
1342
938677533
478
5256417688769931183
1382
1432
1484
1596
7571510
2182
2516
1926
919
675554399
322
407
572
699
804
9361115
1302
1396
1451
1595
0.45
6601536
2317
2713
2351
1553
1081
745570
508457558670816
9351072
1170
1258
1339
1420
6801482
2213
2593
2002
1033
647480399388414492590686796993
1133
1212
1287
1393
6931451
2146
2259
1663
791458345283
277
349
4344895506649201104
1178
1248
1383
0.5
608• 1457
2165
2334
1983
1143
892603348393419
499
615717
801
8929771058
1140
1218
6251415
2105
2240
1651
802547355280
300364429
545
639703842
9421021
1097
1182
6431375
2048
1687
1311
696361305241
276
331
359
408
462
534
780
9229941061
1159
0.6
"560
1152
1554
1672
1583
984546345211
282
305331381445512
578646712
778
842
5621139
1551
1383
1137
636451
303
195256274291359430
490
553620686750
812
565"
1101
1471
1316
959477
295228192
237
247
274
338
397450
529
602
666729790
0.7
471
9711306
1380
1282
729
350186136
169184
190
205
239
281329378426475
525
' 474
9651296
1076
848
460253155126147
151
160
188
229274
317
363
410
459
507
4939381039
963
728
363209
135115
126
129
151
186
226
272
307
351399447
493
0.8
4319381300
1197'
904346
1319796103107108109,
116
130
157186
216248
281
410
8861211
1021
796
29812795'959799101
105
112
126150179208
240272
389837960652550
245'
124
9490
90
92
97
104, '
112
126"
146173
203
233-
265
0.9
349
6501040
,899
626311119-48484954555657627388
103118
134
282645897674522250864647485153-54565970
8599114129
267565741548344189654647
4849.50,
51
53576882-97111126
1
00
0
00000000000
0000
00
000000000000000000
60
, 0
00000000
0
0.0,0
00"00000
179
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.m-2).(Continued)
Pressure Mass Flux(kPa) (kg.m-2.s-1)
Quality
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
12000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
14000
0
50100
3005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0
50
100
300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0
50
100300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
4022
4511
4924
5311
5533
6063
6852
7804
8606
9263
9873
10395
10866
11303
11820
12614
13206
13689
14161
14662
3766
4208
4575
4843
4923
5355
6344
7337
8056
8688
92109436
9495
9545
10034
11456
12458
12882
13246
13772
3493
3895
4229
4448
4497
4928
5911
6752
7369
8033
8543
8724
8731
8733
9100
10544
11595
11986
12314
12821
-0.4
3849
4309
4699
5011
5172
5518
6169
7104
7926
8483
8929
9339
9735
10049
10479
11227
11751
12152
12534
12943
3617
4039
4391
4613
4655
4921
5777
6773
7515
7876
8021
8108
8197
8199
8609
10012
11078
11431
11713
12145
3365
3750
4072
4260
4278
4533
5399
6229
6879
7236
7311
7332
7377
7394
7685
9148
10306
10624
10864
11286
-0.3
3671
4111
4488
4728
4848
5083
5458
6246
7227
7798
8209
8589
8953
9228
9563
10153
10530
10841
11149
11474
3465
3883
4236
4448
4500
4614
5070
5836
6896
7317
7365
7419
7536
7622
7982
9157
9915
10179
10405
10756
3232
3620
3948
4142
4181
4349
4821
5421
6351
6834
6865
6886
6942
6999
7266
8464
9186
9429
9636
9967
-0.2
3501
3909
4261'
4435
4467
4489
4626
5206
6161
6682
7076
7553
7997
8306
8588
9051
9514
9715
9952
10247
3317
3712
4030
4050
4070
4095
4197
4656
5685
6269
6395
6533
6741
7067
7400
8347
8897
9113
9314
9606
' 3106
3476
3794
3958
3970
4004
4046
4413
5379
6001
6069
6137
6292
6618
6926
7715
8230
8450
8641
8893
-0.15
3419
3809
4147
4333
4300
4119
4129
4596
5502
6060
6416
6877
7296
7473
7674
8222
8530
8838
8942
9213
3247
3624
3947
4030
4000
3769
3817
4124
4865
5533
57665984
6225
6480
6731
7605
8120
8280
8405
8630
3046
3402
3708
3862
3832
3659
3724
3994
4639
5227
5420
5545
5734
6103
6363
7010
7474
7655
7821
8043
-0.1
3349
3729
4058
4239
4185
3776
3854
4089
4523
4884
5166
5668
6103
6374
6576
7070
7357
7643
7712
7919
3184
3555
3870
4018
3803
3369
3594
3820
4126
45094775
5113
5464
5834
6064
6635
6995
7180
7305
7448
2994
3343
3641
3800
3618
3197
3394
3672
4017
4390
4584
4794
5054
5568
5822
6223
6512
6686
6853
7029
-0.05
3259
3634
3957
4176
4097
3577
3569
3659
3768
3885
4024
4293
4504
4628
4720
5076
5290
5346
5403
5460
3111
3463
3762
3934
3654
3032
3201
3363
3471
3631
3802
4060
4230
4420
4489
4586
4727
4812
4870
4957
2930
3266
3551
3706
3453
2864
3020
3200
3363
3551
3679
3790
3846
4075
4241
4288
4416
4467
4610
4837
0
'3053
3462
3791
4057'
3919
3372
3177
3172
3225
3274
3319
3390
3487
3605
3697
3873
3991
4035
4054
4075
2935
3302
3597
3831
3560
2832
2766
2852
2940
3022
3091
3223
3342
3429
3515
3609
3679
3703
3742
3776
2779
3123
3403
3630
3399
2705
2650
2739
2826
2931
3013
3086
3189
3321
3364
3456
3503
3523
3613
3735
0.05
2397
2826
3213
3775
3659
3118
2823
2712
2688
2659
2654
2687
2735
2874
2952
3098
3239
3319
3404
3533
2352
2728
3067
3536
3358
2644
2390
2361
2403
2449
24912622
2784
2879
2935
3029
3121
3206
3310
3396
2271
2618
2933
3411
3267
2530
2255
2230
2300
2372
2439
2620
2929
3081
3088
3126
3132
3169
3242
3362
0.1
1859"
2360
2789
3401
3254
2733
2464
2281
2203
2064
1983
1935
1952
2068
2165
2268
2429
2652
2855
3020
1850
2293
2675
3175
3019
2307
2013
1983
1965
1962
19782024
2106
2232
2324
2384
2471
2607
2761
2923
1812
2211
2560
3099
2963
2189
1886
1847
1938
1959
2039
2184
2368
2520
2583
2613
2665
2673
2682
2870
0.15
1535
2111
2599
3187
3004
2496
2101
1898
1707
1477
1395
1384
1450
1598
1738
1877
2116
2326
2556
2664
1530
2039
2463
2868
2708
1992
1697
1637
1567
1434
1413
1493
1604
1789
1949
2027
2174
2298
2431
2537
1510
1958
2336
2800
2612
1791
1534
1520
1477
1498
1546
1688
1828
1993
2156
2254
2333
2344
2356
2481
0.2
1258"
1910
2447
3099
2866
2232
1764
1497
1262
1064
1053
1160
1285
1465
1625
1799
2091
2225
2423
2570
1255
1827
2279
2663
2485
1724
1396
1277
1149
1031
10651222
1362
1532
1726
1894
2110
2192
2305
2427
1248
1756
2169
2552
2295
1508
1287
1188
1078
1089
1190
1356
1489
1648
1850
1996
2149
2172
2240
2313
0.25 0.3
1130 988
1745 1598
2293 2152
2966 2695
2685 2402
1947 1675
1474 1094
1168 747
949 640
850 620
900 682
1038 867
1176 1020
1359 1211
1501 1343
1673 1456
2020 1664
2106 1800
2286 1948
2496 2307
1115'987
1658 1496
2106 1909
2492 2124
2193 1864
1540 1361
1182 937
962 638
797 504
777 562
874 681
1050 882
1188 1023
1324 1139
1520 1303
1714 1449
2016 1658
2090 1791
2191 1898
2360 2161
1089 963
1588 1423
2005 1804
2404 1967
1941 1605
1359 1209
1089 877
902 629
782 529
826 589
943 696
1106 871
1240 1067
1390 1164
1596 1343
1776 1472
2002 1646
2079 1741
2133 1870
2243 2034
0.35
8591505
2088
2591
2057
1318
7935684574024856878639951135
1281
1445
1576
1653
1914
8651404
1830
1896
1584
1136
699455362385462
695
866950
1094
1265
1431
1573
1640
1859
8511327
1708
1669
1318
980629
425
351
388
4967028749881148
1280
1413
1567
1623
1810
0.4
766" 1436
2036
2227
1673
8155364743633103765596847779141109
1280
1390
1433
1594
7751326
1749
1746
1320
721476387290309364
586
7127699041098
1278
1369
1434
1592
7671253
1636
1554
1124
6273963162662853835967468409851152
1270
1364
1444
1588
0.45
'706
1383
2008
2034
1341
6194083452752633354194625406508941076
1150
1223
1374
7201237
1618
1454
1069
471361307231235331
452
5265306408901053
1137
1217
1365
7141168
1509
1263
950434307248200218312471586685803
9421053
1136
1217
1357
0.5
6601309
1916
1389
940
514
320
257
221
253
309
342
3634335187499039731037
1140
' 677
1143
1446
1179
716351293243192228287
342
387403
4737358829551022
1126
6951070
1300
986626334273220170202257330394
480568721866
942
1012
1116
0.6
5651069
1415
1132
716338235221176209220260318376424513588652714774
5881005
1234
931473254229206161186201
244
298355403499578641703763
598974992757381223205195148166185227282
338382484568633695757
0.7
494 ,
933985820537262175119107113116145181226265299343390437484
518926940
' 746
397202162113105111112
139
178
218
255292336383
431
477
509'
807764563322190150109104108111135172210246286332379427474
0.8
376'
818946636263128'
1149187878894101 "
109
123
142
169
198
228
260
373752933622
2451221128684'84
86--90
97105
119139.
165194225257
351'
632615378224116
93
80
82
83
848794101116136163192222255
0.9
22450770854522896544444484950515255668094109123
18744463650620872'50444445
• 4 6
47
4849
54'65,78
. 93
107122
175355350246164704741
• 43
43" 44
44454753647791106121
1
00000
000000000
0
0000
0
000000
0-0000
0
00
00_00
0
0
00
00000000000
00
00
000
180
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.nT2).(Continued)
Pressure Mass Flux Quality(kPa) (kg.m-2.s-l)
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
15000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
16000
17000
17000
17000
17000
17000
17000
17000
170001700017000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
0501003005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0501003005001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
0501003005001000
1500
2000
25003000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
3196
3566
3874
4082
4184
4678
5402
5890
6438
7244
7886
8278
8512
8629
8926
9942
10615
10992
11337
11774
2883
,3213
3486
3649
3683
4042
4726
5241
5901
6667
7252
7734
8088
8350
8669
9148
9555
9926
10287
10652
2551
2800
2998
2970
2817
3054
3874
4639
55656358
6917
7403
7593
7689
7871
8132
8472
8820
9163
9480
-0.4
3087
3437
3730
3878
3933
4287
4961
5387
5806
6348
6597
6675
6767
6956
7284
8684
9447
9718
9941
10337
2793
3103
3359
3441
3473
3623
4312
4790
5360
5912
6155
6288
6346
6494
6857
7890
8478
8738
8963
9312
2479
"2707
2886
2769
2549
2719
3538
4218
5074
5769
6047
6224
6226
6228
6397
6991
7405
7664
7907
8235
-0.3
2976
3319
"3611
3747
3790
4068
4532
4879
5478
6122
6342
6445
6565
6681
6913
7860
8361
8592
8797
9087
"2700
3009
3268
3336
3359
3491
4002
4395
5038
5709
5907
6048
6193
6277
6463
7094
7462
7682
7885
8130
2406
2619
2789
2607
2374
2452
3124
3790
46385238
5368
5569
5723
5814
5943
6277
6535
6746
6947
7110
-0.2
2868
3207
3497
3630
3638
3724
3891
4196
4946
5596
5765
5899
6179
6504
6707
7163
7475
7676
7866
8074
2612
2911
3163
3210
3236
3323
3586
3873
4546
5190
5393
5561
5888
6217
6376
6537
6654
6811
6963
7145
2335
2530
2685
2439
2227
2318
2722
3214
39634406
4467
4621
4953
5285
5432
5506
5600
5718
5876
6148
-0.15
2815
3149
3434
3543
3517
3482
3586
3805
4365
4858
5039
5239
5561
5999
6217
6512
6767
6946
7112
7319
2571
2857
3101
3159
3112
3149
3329
3538
4031
4449
4622
4834
5220
5695
5903
5988
6074
6188
6314
6495
2300
2485
2631
2347
2138
2233
2518
2860
34163758
3874
4012
4355
4769
4936
4986
5049
5133
5271
5620
-0.1
2772
3098
3373
3442
3315
3068
3155
3351
3686
4010
4226
4502
4808
5383
5673
5863
5984
6098
6222
6455
2530
2816
3054
3080
2886
2725
2901
3050
3307
3540
3772
4052
4407
4991
5268
5386
5402
5423
5492
5785
2276
2439
2566
2260
2044
2074
2320
2568
29113197
3398
3528
3694
3933
4086
4123
4154
4169
4622
5075
-0.05
2720
3033
3295
3358
3195
2708
2674
2833
3083
3336
3459
3517
3552
3789
3984
4029
4103
4135
4282
4633
2489
2759
2983
3009
2775
2366
2360
2500
2724
2937
3075
3170
3270
3561
3783
3873
3928
3952
4090
4413
2235
2398
2521
2175
1917
1850
2043
2288
25292726
2844
2931
3017
3247
3463
3557
3656
3754
3853
4230
0
2595
2910
3163
3274
3115
2468
2312
2464
2705
2854
2904
2916
3057
3255
3297
3339
3419
3443
3522
3670
'2380
2664
2888
2934
2673
2089
1945
2166
2446
2617
2660
2824
2980
3223
3344
3367
3388
3406
3520
3660
•2146
2319
2439
2102
1774
1597
1753
2018
22832415
2588
2765
2902
3128
3458
3471
3485
3498
3517
3649
0.05
2165
2485
2768
3111
3003
2251
1955
2071
2224
2322
2340
2615
2953
3188
3216
3221
3228
3286
3297
3309
2020
2329
2593
2818
2545
1853
1655
1841
2112
2282
2440
2668
2932
3209
3321
3321
3321
3395
3414
3434
1849
2046
2196
1972
1661
1407
1526
1757
19912218
2526
2746
2863
3110
3330
3370
3374
3415
3434
3455
0.1
1750
2114
2430
2884
2739
1897
1649
1843
1912
1974
2055
2270
2472
2657
2744
2785
2823
2826
2831
2836
1647
1998
2295
2597 "
2268
1528
1419
1688
1888
2058
2199
2401
2554
2774
2940
2993
3003
3020
3039
3050
1547
1734
1878
1755
1487
1205
1305
1533
17902081
2337
2519
2619
2821
3024
3080
3087
3116
3135
3155
0.15
1456
1873
2229
2667
2384
1523
1367
1501
1559
1595
1670
1815
1951
2131
2295
2397
2440
2450
2461
2470
1379
1756
2072
2432
1963
1251
1235
1477
1628
1745
1859
2011
2118
2307
2470
2586
2611
2629
2650
2669
1327
1473
1S84
1532
1308
1045
1187
1448
16371832
1993
2134
2245
2406
2545
2673
2708
2719
2738
2757
0.2
1221
1695
2087
2393
1923
1286
1179
1178
1171
1225
1339
1483
1607
1774
1947
2063
2165
2179
2194
2218
1162
1586
1940
2194*
1580
1076
1071
1188
1298
1408
1554
1691
1807
1979
2116
2242
2301
2340
2359
2380
1144
1299
1423
1399
1151
9121020
1223
14081562
1685
1807
1935
2092
2203
2311
2349
2357
2367
2388
0.25 0.3
1047 923
1514 1341
1906 1686
2193 1807
1657 1425
1204 1147
1025 850
918 664
891 618
954 675
1062 769
1217 939
1355 1103
1495 1250
1676 1419
1838 1539
2010 1656
2030 1754
2120 1845
2166 1988
997 873
1404 1228
1741 1521
2016 1688
1362 1198
992 948
907 743
943 704
1031 754
1139 849
1254 947
1412 1104
1543 1240
1684 1391
1814 1519
1942 1627
2033 1704
2040 1774
2110 1830
2141 1969
993 866
1154 1022
1286 1150
1286 1107
1048 958
839 744
859 685
993 780
1148 8851289 1006
1399 1114
1533 1246
1681 1380
1833 1539
1931 1643
1984 1694
2037 1733
2050 1785
2100 1825
2120 1952
0.35
8311223
1537
1514
1191
9275954243954615577509341083
1232
1321
1421
1570
1610
1784
7691076
1333
' 1438
1051
8045414624955976988671026
1174
1289
1389
1481
1572
1598
1749
7619221054
1000
868635527567618719
8319781120
1273
1365
1457
1526
1580
1593
1722
0.4
' 745"
1152
1472
1251
1038
6063682812723444546738419441065
1180
1300
1400
1458
1576
674' 975
1226
1124
9345873573123394655887639019901084
1211
1339
1405
1473
1554
6728581007
941802483361405462568
6948329471048
1135
1277
1395
1435
1490
1537
0.45
6941073
1355
1128
895420
2592021932573605496767628559671079
1160
1230
1349
614'888
1114
9788034072282012443704856347368038851009
1121
1199
1249
1342
608798946821685354223273
358483
6097027758499381069
1174
1237
1269
1334
0.5
6939681123
8665973122331901491802663774555246057398559381013
1111
612791907747574288172147
1972713694765435976677658579401018
1107
598726806659534273155180288407
5336156466857438218729471023
1104
0.6
645900871644368200176163139154185231291352406484558623689753
537693695508333190125120165190247297343395449499557618686751
494581587429291180104125218302
462489499508530577597629683748
0.7
501712648482299174
135107103107116132164204244283328375424471
383"
' 482
550428272154115105120123129136163201244283328373422470
"354 "
40749039024313683108
136148
193212216242275307340376420468
0.8
297520494351213-
10892"76808182838895113135162191221253
260 "
38336032520310280727678798081,89109134161190220253
257347350295194957469 '
7273767780 .
89 .
109135161189219
251
0.9
172332327227134604339414242
' 42
434552637791105121
16731931121012759393637393939404250637690105120
1562922581921185239333536363737404962'7690104120
1
00000000000000000000
00000000000000000
- 000
00
q000000.000000
b0000
181
TABLE ILL THE 1995 CHF LOOK-UP TABLE FOR CRITICAL HEAT FLUX IN 8 mmTUBES (in kW.nr2).(Continued)
Pressure Mass Flux(kPa) (kg.m-2.s-1)
Quality
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
18000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
19000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
0
50
100
300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
050
100
300
5001000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
050100
300
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
6000
6500
7000
7500
8000
-0.5
2189
2382
2524
2378
2137
2484
3354
4160
5115
5776
6200
6698
6863
6894
6982
7157
7437
7750
8065
8347
Vi786-.";1935
;\2032
1682
1364
1882
2838
3670
4468
4747
4918
5285
5496
5668
5862
6118
6389
6653
6916
7164
:i36i\
2 1628'
1806
~1524
1167
1538
2411
3269
3945
4169
4171
4173
4233
4436
4687
4915
5129
5338
5548
5757
-0.4
2133
2308
2435
2223
1930
2220
3048
3773
4671
5147
5263
5557
5589
5600
5726
6118
6468
6724
6948
7225
'1744
1889
1983
1612
1264
1752
2604
3283
3900
4016
4106
4443
4642
4833
5120
5409
5636
5832
5989
6190
1333
1593
1774.
1476
1090
1403
2193
2881
3350
3514
3606
3765
4009
4270
4581
4686
4688
4706
4808
4976
-0.3
2078
2239
2357
2101
1790
1960
2648
3358
4271
4697
4751
5016
5164
5215
5328
5497
5657
5829
6031
6182
1699
.:1843
1940
1549
1167
1537
2302
2917
3580
3725
3813
4086
4166
4311
4534
4659
4757
4906
5136
5284
1304
• 1576
.1772
1461
1024
1259
1966
2536
2983
3182
3286
3426
3596
3812
4048
4148
4157
4158
4185
4232
-0.2
2022
2172
2282
2002
1698
1832
2304
2874
3613
3919
3952
4100
4349
4608
4726
4754
4756
4805
5039
5286
1656,
• 1802
1903
1545
1123
1372
2033
2593
3169
3315
3355
3441
3493
3646
3738
3748
3765
3883
4275
4511
1277
1552
1752
1461
9971142
1766
2229
2597
2767
2850
2954
3034
3193
3320
3416
3492
3532
3586
3614
-0.15
1997
2137
2239
1936
1657
1759
2097
2589
3118
3353
3428
3547
3817
4132
4258
4297
4302
4340
4556
4858
:1639
1777
:1872i
1528
1099
1286
1827
2380
2832
2968
3013
3077
3159
3301
3375
3396
3426
3540
3911
4158
1261
1522
1715
1449
9781086
1640
2049
2338
2442
2522
2639
2742
2893
3002
3109
3206
3242
3298
3338
-0.1
1976
2103
2192
1854
1582
1689
2004
2408
2736
2939
3073
3146
3236
3365
3473
3667
3860
4053
4247
4441
1628
1752
1830
1462
1067
1241
1702
2218
2523
2642
2717
2773
2813
2910
3017
3107
3162
3240
3493
3826
1255
1477
1633
1379
9629961468
1812
2012
2077
2154
2294
2472
2659
2825
2950
3018
3051
3110
3135
-0.05
1950
2070
2152
1777
1487
1587
1862
2176
2410
2529
2613
2683
2917
3148
3458
3478
3524
3580
3770
3952
1618
1711
1760
1358
9801189
1623
2014
2261
2332
2393
2470
2534
2760
2879
3059
3134
3160
3268
3509
1235
1396
1508
1253
9059361328
1633
1864
1949
2014
2174
2308
2489
2661
2733
2820
2840
2861
2882
0
1885
2004
2077
1693
1377
1399
1606
1855
2108
2224
2476
2602
2828
3069
3348
3399
3399
3437
3511
3525
'1567
1660.
1706
1290
911
1085
1428
1679
1905
1977
2047
2158
2280
2757
2877
3058
3123
3143
3164
3204
1193
1314
1394
1173
858
873
1194
1469
1692
1770
1854
2013
2123
2485
2657
2728
2815
2835
2854
2876
0.05
1647
1782
1880
1600
1275
1195
1377
1637
1885
2092
2473
2600
2795
2992
3313
3334
3355
3374
3393
3414
1393
1503
1570
1218
8339091225
1498
1694
1769
1917
2021
2130
2546
2796
3028
3069
3087
3119
3139
1092
1222
1310
1072
7507811161
1396
1534
1566
1763
1960
2096
2256
2428
2611
2697
2717
2736
2755
0.1
1398
1532
1632
1481
1210
1049
1204
1484
1730
2088
2291
2432
2504
2578
2865
2885
2904
2924
2945
2965
1207'.
1316
1388
1115
810
890
1170
1465
1672
1768
1890
2014
2127
2342
2587
2756
2775
2797
2815
2836
9881094
1165
9046857131161
1360
1369
1380
1669
1959
2096
2120
2146
2172
2220
2260
2329
2443
0.15
1213
1325
1410
1325
1096
9791165
1435
1680
1863
1953
2107
2176
2354
2532
2620
2640
2659
2680
2701
1069
•1154-
1208
974799889
1114
1402
1531
1610
1742
1875
2125
2151
2350
2485
2505
2526
2545
2566
9211001
1044
7215927121096
1198
1252
1294
1581
1870
2008
2038
2068
2100
2116
2147
2179
2255
0.2
1060 '
1183
1278
1192
9648541011
1259
1431
1569
1645
1808
2020
2132
2295
2357
2363
2383
2404
2423
•:m:
1055;:
1113
8547248009861226
1393
1472
1595
1753
1902
1963
2135
2290
2348
2367
2388
2409
8469511014
6675727119491153
1250
1293
1522
1720
1892
1927
1962
1999
2040
2083
2114
2164
0.25
9301062
1168
1112
8957478491077
1241
1328
1395
1584
1761
1877
2023
2031
2038
2060
0.3
8129371040
9918546526958971010
1104
1186
1341
1486
1636
1768
1778
1789
1799
2090 1809
2114
•"856:
;974
1056
' 867
6957058381101
1246
1328
1391
1455
1593
1934
V74p843.;918;;
763671646737
9451064
1169
1216
1280
1455
1762 1648
1945
1948
1950
2070
2080
2090
7618819576525726677691029
1153
1771
1775
1779
1800
1800
1919
6657477976095396106819391124
1292 1227
1331
1371
1253
1264
1473 1425
1576
1678
1571
1669
1832 1671
1891
1937
1983
1674
1725
1776
2075 1912
0.35
7268499408717495435546757578609661080
1188
1342
1410
1494
1535
1580
1590
1710
;664::;
'.: 760 T
'646'
575529605746840929
9931098
1212
1414
1509
1531
1546
1580
1585
1703
5736236515474874856118259391033
1128
1188
1280
1374
1519
1521
1534
1548
1561
1697
0.4
657796892
' 759
6534203834475326537648811000
1113
1167
1312
1417
1451
1464
1515
63a •
::; 660
:«66 •
"534'
508409406470618735
821
883
1021
1127
1211
1328
1439
1458
1461
1502
5225475534324303935335938089059621035
1044
1150
1230
1335
1438
1463
1478
1493
0.45
5957528656885453502292884135136407057778879831126
1227
1261
1275
1321
•57D'
•'.• 6 5 5
485447340303335481
587
671
710
8238979961170
1257
1265
1294
1311
4724764804003753303854116116728138568719001021
1178
1273
1287
1296
1304
0.5
5776917575804572691982343524656066436647208178698989651034
1103
"528;:
^ 59<j;
.624
452'
381
263
244
249
3734906466466737408368939299851048
1102
4184214243182692592502834285586716906957508579359589981053
1102
0.6
444525542392274170112138268368526583585628635651654667697746
402460'483;;
•342"
250160137150279388
550587
588638692693695696716745
'321
345371292210
150139167291390582601611692693694696700726744
0.7
31540047837523112673115147158209238239260291324356387423468
281369;423
33320711983116156173
225258
262288301333365396430468
228270
' 369
29 i
185103102129159184232272278300302333366399433467
0.8
228
314
340
271
184
88
71 .
66686972747688109135162190218249
1942783322481748363606667
71
72
75 '
88109135
162~
190
219
248
15421522422316577.63,62646570727588109135163'
190220247"
0.9
13924823317411547353132333434353949627589104120'
1162142201561123331293031
3132
3339486175 •
89103119
901521871407231292728292929313748607488103119
1
0
0
00
0000
0000
0000
0000
0
00
00
00
0000
0
0000
0000
00
0
060
00
0000
0
.0
0
q0
0
0
0
182
Appendix III
CHF PREDICTION FOR WWER-TYPE BUNDLE GEOMETRIES
The CHF look-up table for the WWER-type bundles has been derived at IPPE, Obninskand is included in this appendix as an alternative to calculate CHF in bundles of the WWER-type. This look-up table is based on (i) experimental data for bundles, and (ii) predictionsusing a semi-empirical model described in detail by Bobkov (1993, 1995) and Bobkov etal.(1993, 1995a-b, 1997a-b) in which the data on CHF in other geometries (tubes, annuli) andthe look-up table for CHF in tubes were used that helped to expand the ranges of applicability.More than 4000 CHF data were used, obtained for 22 bundle geometries that were taken fromthe unified Czech-Russian CHF data bank [Kostalek et al. (1990)] (3, 7, 19 and 37 rods,triangular shape with p/d ratio of 1.16-1.52, ranges of flow conditions are: 1.5 < P < 20 MPa;220 < G <5 04 kg/m2s;-0.52 < X < 0.9). A 3-dimensional smoothing procedure was applied toremove irregular trends.
This version of look-up table is derived for the WWER-type rod bundles with thefollowing applicability conditions:
— bundle with triangular rod array ;— smooth channel with no effect of spacers;— uniform axial and radial heating;— heated-equivalent diameter is 9.36 mm;— pitch to rod diameter ratio is 1.4;— pressure: from 0.1 to 20 MPa;— mass flux: from 50 to 5000 kg/m s;— relative enthalpy (steam quality): from -0.5 to 0.9.
The range of application of the look-up table can be expanded by using the followingcorrection factors:
CHF = CHF(P,G,X,Dhe= 9.36 mm>KrK2-K3-K4
where— CHF(...) refers to the look-up table value;— K!=(9.36/Dhe)
1/3;— for p/d < 1.1: K2 = 0.90 - 0.7exp[-35(p/d-l)];— for p/d > 1.1: K2 = 0.26 + 0.57 p/d;— K3 = 0.95 + 0.6exp(-0.01 Lh/Dhe).— K4 = 1 + 1.5^°-5(G/1000)°-2-exp(0.1Lgs/ Dhe), where % is spacer grid friction factor, Lgs -
distance from outlet to the nearest grid spacer.
These correction factors permit to expand the application range of look-up tablepresented in this appendix up to:
— heated-equivalent diameter range, Dhe, - from 2.8 to 21 mm;— heated length/diameter ratio, \j Dhe, - from 40 to 300;— pitch to rod diameter ratio, p/d, - from 1.02 to 1.52;— effect of rod spacing devices.
In the look-up table, strongly shaded cells are connected with the data on bundles,lightly shaded - with the data on simpler geometries (tubes, annuli).
183
TABLE DLL THE LOOK-UP TABLE FOR CHF IN REGULAR TRIANGULAR RODBUNDLES OF WWER-TYPE (HEATED EQUIVALENT DIAMETER IS 9.36 mm, THEPITCH TO ROD DIAMETER RATIO IS 1.4), CHF IS IN kW/m2
pMPa100100100100100100100100100100100100
200200200200200200200200200200200200
300300300300300300300300300300300300
400400400400400400400400400400400400
Gkg/m2s -0.5
50100200300500750100015002000300040005000
50100200300500750100015002000300040005000
50100200300500750100015002000300040005000
50100200300500750100015002000300040005000
-0.4 -0.3 -0.2- 628- 694- 747- 799- 902- 1039- 1184- 1432- 1660- 2136- 2711- 3461
- 632- 707- 770- 834- 943- 1081- 1227- 1475- 1710- 2217- 2903- 3734
- 636- 720- 794- 869- 984- 1124- 1270- 1517- 1760- 2297- 3095- 4009
- 648- 746- 834- 925- 1048- 1195- 1350- 1611- 1871- 2459- 3293- 4276
-0 124232441751665276488510721247162020242471
29237247157772484597511691357175921872648
341421525637796925106412661467189923502825
3754675857118671007115713771595205725473036
00136214279349434531640802950127816462083
1962523213945016037168821038137617532169
2562913624395686767939631125147518612256
28331241552465576287610501223165820162351
X0.1123223287356457552657804946125416141985
152238316400512605706852999130916562028
180253345444567658756|9001051136416992072
20028940052063572682110281218163419612129
0?126232292357449539636772885106413121685
140246318395491579674810939114113421727
154259343433533619711849993121813721769
1722933924985876747669351086131514681828
031302432913434414975557378799309321270
1402533123754525105707278409229541289
1502643344084645235857178029149761307
1652953594274875466067107828719981326
04131248275303421494573770868797661942
140253295339419485556699770757679958
149259315374416476539628672718697975
161283332383410460511575614654712986
0.512423925527035543352068l|720528390648
134248274301351410473576614509408657
145257293 [331347|386426471508490425666
147274302[331319354389432464426430671
06101195207219238278321372343220194388
111210223235240265290313297219209395
120225238252242252259253251217224402
123250265279244250252248212201234407
0777151171192185179169160984192198
901671184202189183173132874193197
104| 183197|212193187176104774295195
115I 211228]245201192178117744296195
0861110124138133129123117753771142
7012113314413613212598683772141
7913214115113813412779613873140
8715016217314413812888593874140
09
457077848180767352335086
507581878381776449345185
548186908482785445345185
5890961018784795944345285
184
TABLE III.I. (CONT.)
pMPa500500500500
500500
500500
500500500500
600
600
600
600
600600600600600600600600
700700
700700700700700700
700700
700700
800
800
800
800
800
800
800800
800800
800
800
Gkg/m2s
X-0.5 -0.4 -0.3
50 - - 932
100 - - 1067
200 - - 1166300 - - 1265
500 - - 1396750 - - 1552
1000 - - 17091500 - - 2025
2000 - - 23513000 - - 32434000 - - 45215000 - - 6060
50 - - 931
100 - - 1072
200 - - 1183
300 - - 1296
500 - - 1436
750 - - 15951000 - - 1756
1500 - - 2079
2000 - - 2418
3000 - - 3337
4000 - - 4645
5000 - - 6216
50 931100 - - 1076
200 - - 1200
300 - - 1327500 - - 1475750 - - 16371000 - - 18021500 - - 2133
2000 - - 24863000 - - 3430
4000 - - 47695000 - - 6372
50 - - 930100 - - 1080200 - - 1217300 - - 1358500 - - 1514750 - - 16801000 - - 18471500 - - 21872000 - - 25523000 - - 35224000 - - 48925000 - - 6527
-0.266077287498111111267143017051982262134914542
678802925105411951353151818082104277036444684
695832975112612791440160619122225291737964825
712
862
1026
1199
1363
1526
16932015
2347
3065
3947
4965
-0 1
410514645785
9381089
12491487
1723221627443249
440
559
717
886
1053
1205
1365
1621
1876
24022950
3388
470604
7899871166132014811755
20292590
31573527
500
649
860108812801435
15961888
21822777
3364
3666
00309334467610
741848
9591137
1322184021712445
336
372
533
707
8559671082
1272
14511952
2309
2585
363411
600805969108612061407
15812064
24472725
391
449
667
903
1083
1205
13291542
1711
2176
2586
2865
01220326456596
703792
8861156
1384190422232186
244
362
512
675
7888839811233
1463
19782336
2344
268399
569754
875
975
1076
1311
15422052
24502504
291
435
626
833
961
1066
11731389
1622
2127
2564
2665
0?190326441564
642729
8211021
1181141215641888
210
359
480
611
70978486010541211
1442
1615
1925
230391
5206587768409001087
12411472
16661963
251
424
560706845896
9401121
12721502
1717
2001|
03181326385447
512569
628703
76382710201345
198
353
407
4655345866386837338031029
1347
216380
430483556603647664
704780
10381349
234
407
453
501
579
620
657644
675757
1047
1351
0.4 0.5173 148
308 291349 311392 331
•H)5 291•U-1 321
482 352523 392
556 420590 362
727 435
997 677
188 161
328 299365| 320
404 340
419 320
456 324492| 352
495 369
513 391559 356735 444
1001 679
203 174347 307
381 328
415 349433 300468 327501 352467 346
470 361527 349
744 4531005 682
218 187
366 315
397 337
427 358
447| 305
480 329
511 352440 323
428 332
4951 343
752 462
1009 684
06127275291307
247248
244244
173186
245
412
143
289
305
321
270249242233174195258416
159302
319336254249239
223
176204
271420
175316333350258250236212177|214284425
071272392582"8209197
179130
714298195
145
259
278
296
2302031801397247102195
162280
297314228208181149
7352
105195
180
301
317332237214
182158
7456
109
195
0.8 0.9Q4 62169 99
182 106195 113
149 89141 85
129 7997 63
57 4338 3475 53140 85
106 68
183| 106195 1122<r 1 18
155 92
145 87130 80
103 66
58 44
41 3578 54
140 85
118 740.8 0.9
118 74
197 113208 119219 124162 96149 89
130 80109 69
58 4444 37
80 55
140 85
130 80
211 120
221 125
231 130
168 99153 91
131 80
115 72
59 44
47 39
185
TABLE III.I. (CONT.)
pMPa1000
100010001000
1000
1000
1000
1000
1000
10001000
1000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
20002000
300030003000
30003000
3000
3000
3000
3000
3000
3000
3000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
Gk£/m2s
50100200300
500
750
1000
1500
2000
30004000
5000
50
100
200
300
500
750
1000
1500
2000
3000
40005000
50100200
300500
7501000
1500
2000
3000
4000
5000
50
100
200
300
500
750
1000
1500
2000
3000
4000
5000
-0.5
-
-
---
1120
1256
1361
1465
1636
1827
2022
2553
3388
5411
7486 [9876
1032
11601270
14211609
1813
2023
2588
3476 [5610
7829
1039[
9451084
1216
1364
1571
1811
2058
2679
3634
5857
8113
I 10631
-0.4
1072
121713361456
1614
1792
19712363
2904
4416
6226
8320
1044
1186
1312
1439
1615
1797
1981
2385
2957
4600
64918630
93910741207
13821592
1798
2053
2530
3360
49756962
9287
873
1015
1154
1317
1577
1818
2117
2658
3598
5291
72889521
-0.3
9291088
12491417
1590
1763
1937
2292
2684
3706
5138
6837
924
1083
1248
1421
1602
1779
1957
2322
2715
3834
54497316
8489991167
13801579
1778
2019
2417
3063
4291
5965
8101
811
961
1120
1311
1559
1788
2065
2513
3259
4588
6265
8325
-0.2
74692111251342
1531
1699
1868
2220
2589
33594249
5245
788
964
1167
1383
1571
1742
1916
2273
2642
342843935615
7659331132
13791566
1758
19862342
2844
3716
4850
6258
753910
108913071542
1757
2013
2398
2960
3895
5037
6417
-0.1
56174010041288
1505
1665
1824
2152
24863154
3778
3941
634
819
1076
1353
1566
1728
1890
2221
2547
3205
38274021
6558311074
13721533
1716
1926
2230
2606
3185
3822
4305
675835
1043
1297
1500
1699
1924
2234
2619
3177
3776
4173
0.04465268011100
1313
1446
1578
1814
1973
2403
2864
3143
504
594
872
1173
1463
1606
1748
20102142
2511
29313235
520620889
11351385
1566
1741
19612186
2550
2948
3265
544
646
8811086
1367
1576
1754
1979
2183
2506
2858
3091
0.1339508740991
1133
1250
1366
1546
1783
2278
2793
2991
391
575
817
1079
1261
1393
1525
1665
1814
221526992996
413596836
10581240
14011525
16681817
2087
2432
2924
446
618
833
1017
1278
1431
1587
1732
1848
2046
2326
2802
X0.2292489640802
983
1009
1020
1190
1334
15641822
2077
339
558
750
957
1125
1161
1180
1314
1434
162317741955
359582802
10061131
1211
1286
1371
1 44315641719
1819
390
606
819985I ITS
1332
1421
1507
1544
1600
1710
1848
0.3269461499538
623
653
675
6056177121065
1355
312
529
60"
689
782
S23
857S428387829831335
329555674
775925
1011
1031
1024
992
986
1109
1287
357590
77183510781159
1214
1221
1133
1073
1146
1286
0.4248405428451
476
505
530
384342 f4317691017
2894875666-48724731
731
55ft
4664578161050
305528656
771839
852840735
632615[8061073
331554
710
786f940
1015
1005
9U3
743
678
820[1133
0.5214331354376
31.5
335
352
277272329480689
279
442
513
589
579
565
537378
2931336524718
318515633
738710
700638504
393409561744
339539
674
~^746l821825
773
614
468
440
591
796
0.6207343361378
265
251
230
189179233309433
283
428
161
495
•129
401359240191248344457
332479531
570557
522456
338
263271364478
352
529
600
629
657634
552
424
318
301
388
511
0.7216|343356369
256
226
183
1777566116195
296395410
424
352
31426321013181125195
347413434
442419
383325
253
185152182200
247462
170
485
501
462
396
313
237|
187
205212
0.8154239248256
181160
132
128605487140
207
273
283
292
244
219
185150976493140
241286299
304288
261223
17913296110143
174
318
325
333
342
314
268
224
171
118
123
152
0.992134139143
105
95
81
7945425885
118151156161
137
1251079063476185
135158164
167160
147129
98
80526687
102
174
176
181
187172
149
134
114
57
72
91
186
TABLE IILI. (CONT.)
pMPa600060006000(600060006000600060006000600060006000
800080008000800080008000800080008000800080008000
100001000010000100001000010000100001000010000100001000010000
120001200012000120001200012000120001200012000120001200012000
Gkg/m2s
50100200300500750100015002000300040005000
50100200300500750100015002000300040005000
50100200300500750100015002000300040005000
50100200
300
500
750
1000
15002000
3000
4000
5000
X-0.5
980
1131
1279
14701734
205523783138
4260
6573
8635
10591
1158
1338
1524
1761
2090
24832872376949947246
8833
9819
1398
1612
1830
2108
2488
2939
3383
4355
5607763786718671
1617
18512076
23662738
31873625
46615833
7445
7824
6913
-0.4
914
1064
1212
14021707
200023613001
40565793
7599
9447
1087
1259
1429
16451982
2329
2755
3487
4618
6286
7693
8812
1325
1526
1721
1968
2300
2680
3147
3931
5064
654574517812
1545
17691972
2233
2514
2874
3328
41075144
631866736264
-0.3
855
1011
1176
13831663
192922532777
3625
5010
6497
8118
1026
1198
1372
1590
1892
2198
2569
3162
4089
5443
6621
7648
1253
1445
1623
1848
2157
2482
28763502
4439568664786935
1473
16861867
2099
2348
2640
3000
35954473
5455
5835
5685
-0.2
800
964
1144
13701626
186321442571
3200
4149
5145
6088
973
1151
1336
1567
1822
20832378283634914448
5228
5825
1193
1384
1561
1785
2040
22952591
3034
3712
15735139
5475
14031601177219902179237726303027360543564676]4746
-0.17288931098135415671783200423202675320436853908
90110831285153717571962217824412806326"36563855
11261319152217741912212422882539
2839
32883516
3301
1332152316961915
19912089
222624292"?70
312232562890|
0.0585693934116314531636182420122189240926122465
6518381107136516041823
1933
2090
2195
23--1
2446
2055
83910501336161017601891
2013
2073
220223192326
1873
1055
12661495
17041724
1833
1873197421002279
2243
1771
0.1 0.2 0.3 0.4
482 419 382 355
655 639 624 592
877 858| 824 767
1090 1071 1018 9381324 1272 1160 1017
1506 1379 1252 10901641 1483 1317 10891794 1602 1314 99|
1852 1587 1220 7931951 1575 1085 680
2094 1596 1091 780
2273 1707 1148 1104
547 497 467 442
774 754 737 717
998 971 946 908
I 1214 1181 1151 10941477| 1348 1245 1072
1612 1-152 1279 1071I70S 1511 1270 10291793 1539 1256 9001829 1521 1132 726185') 1157 1024 608
1816 1419 960 653
1645 1376 925 766
697 626 581 557
949 911 883 876
1160 1145 1091 1023
1356 1372 1292 11571516 1408 1226 1010167"7 14'12 1207 927
1709 1429 1137 822
172-1 1398 1033 682
1721 1333 930 5581"37 12~0 841 49')1646 1223 828 533
1208 1198 890 608
856 756 698 6781113 1046 1019 10321345 1292 1217 10891566 1533|1408 11241522|1321 1156 887
1522 1309 1042 ~bb
1565 1260 936 623
1571 1197 823 1981627 1159 "43 425
1647 1137 700 410
1568 1090 719 454
1102 994 755| 436
0.530448464"809889
907844676492437550738
382587735881890868775603436379451540
494734786819766703594454346315376476
608882841
772
646
542427
329
270
277322354
0.6257443589735T51716615461339302370461
329511(vU775746689564399285257304339
433616623612601535421304227219255295
543661652621•no
392301228196195227266
0.7 0.8249 176425| 293515 353601 410591 409537 366440 296336 238250 180197 129208 130209 149
318 222516 354601| 410678 462605 426525 363398 267272 181195 133168 111182 119178 129
406 280581 397584 399569 389485 339401 278297| 200200 135152 103144 99159 107158 115
499 342581 397545 373490 336361 248281 192211 145160 111135 95134 94146 101152 111
0.9103161192220237208162163124668289
1261922202462662221558170667679
1552132142091891571127159636672
18621320118311599777060616570
187
TABLE III.I. (CONT.)
pMPa14000
1400014000
14000
14000
14000
14000
14000
140001400014000
14000
16000
16000
16000
16000
16000
16000
16000
1600016000
16000
1600016000
18000
18000
18000
18000
18000
1800018000
18000180001800018000
18000
20000
20000
200002000020000
20000200002000020000200002000020000
Gkg/m2s
50100200
300
500
750
1000
1500
200030004000
5000
50
100
200300
500
7501000
15002000
3000
40005000
50
100
2003005007501000
1500200030004000
5000
50
100
200300500
750100015002000300040005000
-0.5
1760
19882170
24132652
3014
3362
4469
547266146263
4740
1748
1950
2074
2254
2408
2649
2879
36334181
5184
50673896
1496
1607
1582
1548
I4U51540
UiS7
232628T t
.".•5 5
3661
3650
1135
1259
11431027749
82388712571536164915321657
-0.4
1699
19232097
2330
2498
2788
3175
3889
474655445420
4245
1694
1889
1995
2152
21732354
2642
31883818
4423
142563318
1452
1554
1509
1454
ps:13941502
2082259033563126
3100
1115124411231001701
75880611391354141713861561
-0.3
1638
18582024
2245
2367
2584
2895
3392
4066
47784762
4016
1643
1835
1934
2079
2056
2193
2407
28183345
382937533242
1411
1506
14471370
1 100
12791353
1810ir;
2970
2728
2628
1103
1240
1118995666
699
72610221191126912431370
-0.2
1573
17821937
2141
J2190
2319
2475
2794
324937243855
3587
1589
1773
1867
J200619141965
2107
23262686
3050
30892980
1369
1457
1386
13061140
12021258
154410052356?. 152
1900
1081
1216
1104991647
6536579071034106810461138
-0.1151017061857|2054
1956
1957
2040
2191
245927742816
2380
1536
1708
1790
1912
1708
] 16641692J8652111235723501918
1328
1401
13061202
HJ33
10901142
13641600I"7I1634
11534
1008
1097
993889fiO9
589
570
"43
831
830
8 H)
966
001249
14561678
1883
1715
1647
1675
1764
195021092116
1800
1356
1547
1678
1794
14781392
1391
14961704
190319101665
1207
1286
12051116
014913006
1059
1211
in1559
1500
908967
871776532
51 1496643709699"65006
011003
12451456
1656
1429
1388
13631400
150316u21559
1248
1094
1323
1496
1663
12841144113512021366
151015131307
969
1046
10271004
8458U"7692711391121I-K)3
1403
803842
717593452
i58•1626586~3002"88855
X0?
86711371326
1508
1235
1116
107310451069
II01
108(i929
932
1185
1332
1473
1061
9388748961007
110011261015
820
909
001
888731689612
"ISOil10951120
1220
750806
663523438
•157173526612624666"55
0377210321084
1120
982
892
782fSOO
6806O(i725
702
760
966
1049
1125
855
739658621656743774752
695
780
767"50650
5SI502
526650"71830
930
590620
552483413
K).:303-1215255"()5606"S
04718959934889
753
636
50941U376121477
511
661
851
835808
648
547434358380
450536547
644
746
6866225151313 12
2*2308485
574
674
468471420369142
?0S27631.2300416450191
05
664769719
651
533
447
3352612412"1326324
581
648
603549
456
375285219224300361356
561611544•17 1
369300227
165106400501
581
390
398
345293228
206185160167290346381
06608620577
518
388
305
238190
\-\191218228
490529
482427
328
262196158160
202
241227
449492
•136
377
25"
209158
102135284385
450
333
381
335290
103
15311799110198276315
07515512456
3872842211711 11
128130139
135
376
409
389362
254192148121116132144117
363
425
38734522317412179105128157
200
275352
31"282170
130
S67481941221366
08353351314268
196
152121102929296100
261283
269251
180
1391089086919488
252
293
26824015912690
638095115
135
193244
221198129976759647291100
09
19119017214910189
73
6759616365
14515614914110086685957625959
14116214913594786046556272102
1111371251147963484447516065
188
REFERENCES TO APPENDIX III
BOBKOV V.P.; 1993, "Burnout in Channels of Various Cross-Section", Preprint of IPPE -2313, Obninsk (in Russian).
BOBKOV V.P., ZYATNINA O.A., KOZINA N.V., SUDNITSIN O.A., 1993, "Burnout inChannels of Various Cross-Section (Model and Statistical Results)". Preprint of IPPE - 2314,Obninsk (in Russian).
BOBKOV V.P.; 1994, "The Features of Burnout in Rod Bundles and Other ComplexChannels", Proc. of 1st Russian Conference on Heat Transfer, Moscow, vol. 4, p.p. 32-37 (inRussian).
BOBKOV V.P., VINOGRADOV V.N., ZYATNINA O.A., KOZINA N.V.; 1995a,"Description of Critical Heat Flux in Rod Bundles and Other Complex Channels", Proc. ofIntern. Conference on Thermophysical aspects of WWER's Safety, Obninsk, v.l, p.p.143-154(in Russian).
BOBKOV V.P., VINOGRADOV V.N., ZYATNINA O.A., KOZINA N.V.; 1995b, "Methodof Burnout Description in Channels of Complex Cross-Section", Teploenergetika, v.3, p.p.37-46 (in Russian).
BOBKOV V.P., VINOGRADOV V.N., ZYATNINA O.A., KOZINA N.V.; 1997a, "RelativeDescription of Burnout in Rod Bundles and Other Complex Channels", Teploenergetika, v.3p.p. 1-7 (in Russian).
BOBKOV V.P., KIRILLOV P.L, SMOGALEV I.P., VINOGRADOV V.N.; 1997b, "Look-UpTables Developing Methods for Critical Heat Flux in Rod Bundles", Proceedings, NURETH-8,Vol3pp. 1581-1589,1997.
KOSTALEK YA., CIZEK J., LISTSOVA N.N., MAKHOV D.N., SUSLOV A.I.; 1990, "DataBank on Burnout in Rod Bundles". Proc. of Seminar "Thermohydraulics-90", Obninsk, p. 182,1990 (in Russian).
189
Appendix IV
AECL LOOK-UP TABLE FOR FULLY DEVELOPED FILM-BOILING HEAT-TRANSFER COEFFICIENTS (kW m 2 KT1)
This Appendix contains two tables. The first table contains the filmboiling heat transfercoefficients as a function of pressure, mass flux, quality and heat flux for a 8 mm ID tube. Ithas been described in Section 4.4.5 and should be used only with the following qualifications:
- the heat transfer coefficients at low flows and qualities are based on extrapolation fromHammouda's model (except for zero flow and X<0 where the data are based on poolfilm boiling conditions).
- the conditions where data are available can be found in the second table of thisappendix. This table also specifies the number of data points and the errors for eachsubset of flow conditions.
Legend:
Non-shaded
Lightly-shaded
1 le:iv:lv-siukL"d
: Areas where data exist;
: Areas where data are not available, values come from models;
Areas where data are not available,(predicted surface-temperature is greater than l,450°C).
190
TABLE IV.I. AECL TABLETRANSFER COEFFICIENTS
FOR FULLY-DEVELOPED FILM-BOILING HEAT
p
(kPa)
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100100
100100
100
100100
100
100
100
100
100
100
100
100
100
100
G
(kg m-2 s-1)
0
0
0
0
0
0
0
0
0
0
0
0
50
50
50
50
50
50
50
50
50
50
50
50
100
100
100
100
100100
100100
100
100
100
100
200
200
200
200
200
200
200
200
200
Xe
(-)-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20 I
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
50
C.174
0.173
0.161
0 142
0.101
0.069
0 046
0.046
CC68
0 079
0 071
0 057
0.222
0.218
0.180
0 129
0.087
0.068
0.056
0.081
0 105
0118
0 136
0 202
0 303
0 286
0.257
0.134
0 091
0 093
0 1 i4
0.137
0.155
0 162
0.215
0 378
0.3 .
0.311
0.288
0.140
0.111
0.145
0.241
0.275
0.278
100
0 2G5
0 203
0.185
0 162
0.124
0.096
0.065
0 005
0.094
C107
0 10'
'J O."3
0 251
0.243
0 208
0.153
0.112
0.093
0.083
0.112
0.127
0 139
0.157
0 22;
0.347
0 323
0.290
0.165
0 122
0 120
0.139
0.170
0.175
0.184
0.233
0 391
401
0.391
0.329
0.179
0.146
0.171
0.259
0.341
0.344
150
0.237
0.226
C218
0 1S2
0.153
0.130
:C97
C CCO
0.125
0.137
0 133
'J 10°
0.279
0 271
0 241
C 177
0 133
0116
0.113
0.134
0.150
0.168
0 187
0 242
0 375
0 355
0.338
0.205
0 152
0 M90.166
0.185
0.189
0.209
0 265
0 406
0 455
0.445
0.367
0.219
0.181
0.188
0.278
0.365
0.368
200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.269
C252
C238
0 218
0.182
C 157
C \?.O
•J126
0 155
C 168
C 162
Z 1X9
0 307
C295
0 25,-
0 198
0 155
0 140
0 13/
0 156
0 170
0 188
0 211
0 25/.
0.385
0 3/0
0.354
0.226
0. iS9
0 iG'i
0 179
0 199
0 205
0.228
0.289
0.422
C 472
0 463
0.389
0.252
0.215
0.214
0.283
0.372
0.376
0.400
0 3-38
0 347
0 320
0?34C :-84
C ?o4
o.r'i-g0.279
0 288
0 236
c?e.3
0.414
0 382
0 3-43
C2S3
0 25?
0 235
0.23C
0 2b2
Q2;'
0 2S3
C:i45
0.447
0.420
0.398
0 306
C;?5£
0 r?.6
0 24!
0 ?b3
0 264
0.29/
0.361
0.480
0.503
0 488
0.456
0.350
0.304
0.270
0 316
0 379
0 382
0.531
0 484
0 4C3
0 44'J
0 4??.
C410
C 394
0 385
0 4^3
C 3£'?
0 522
0 471
0^23
0 3':
0.326
0 322
0 31b
C 219
C 32b
C306
0 3SS
C 4j'
0 547
0 4G5
0 445
0 308
C 'iC'S
C ? 3 ••
0 2ii9
0 31?
0 330
0 368
C £33
0.543
0 553
0 535
0 481
0 383
0.3?8
0 317
C 353
C4C3
0.-33
0 654
0.602
o.becC5'iC
0 US
OK.C -24
0 518
0.5?V
0 532
Oi:Zd
C £ I9
0 628
0 5r«
CiCO
C.-ibb
0 i.2?.
C iZC
0 39?;
O33r5
Q4!H
0 440
0 47?.
C 515
0 644
C 57v
0 494
0 41"'
0 3/1
C JC-'J
0 3b;'
0.36'
C.3S1
C435
az?.0 6:5
0 580
0.6C3
ObbO
C 44C
0 33-
0.3S4
C3S5
C 440
C 4S •
1000
0 303
0 72G
0 ,7:4
C 68?
as '40 66/
Cfjf-4
C £4=
G 65"
0 66!
C3C0
:G49
0 7?u
0 643
CiS4
C5?.'
C41'9
0 4Sfr
0 4'6
0.4;'.'
0 4S4
0 513
0 51-3
C i-3-3
C /23
C640
G 47?
0 47b
0 414
0.412
0 4?3
0 443
0 430
0 5S4
0 faO2
0.755
0 672
0 635
0.489
C437
C411
0 44?
C 8f;
0=324
2000
1 502
1 345
1 324
: 32'
1 31c1 315
' ?C7
-.3Z3
1 3Cii
: 5Cb
' 30C
' 23S
1.20"
1 0bJ
C06'
C 004
0 6T2
0 662
0 5'.;/
0 55-1
0 6/4
C 'i'C'i
0 942
0 Si;"
* '54
C 954
GS4U
C /4£
C53?
C 'JS5
0 682
COS?
0/32
0 754
0 3/1
C 9HC
: "8?
' 012
0 853
0 720
C 6b?.
C.64S
G 5^
0 .'26
C50C
3000
?'S31 .E'b4
1 934
* GJI
. 929
'• S2J
• 920
: sis' S??
' <5OS
• 9 3 '
• 936
1 /Oc1 i77
' 3b'
1.2i"6
1 ?.i~S
1 ?.<r.C
' ;Jf:7
\?!b'
J y?3
• 31?
'. 3rib
' 40^
1 33S
! :=8
' 03S
0 9'8
c -jiy
0.9U&
C ii~d
;.O33
1.1101 "H&
',.25-1
i 62b1
' 3G:"-
• '49
0 081
0 925
CX4
0S16
0 3-T5
;.o.'3
191
p
(kPa)
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100100100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
G
(kgm-2s-1)
200
200
200
500
500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
10001000
1000
1000
1000
1000
1000
1000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
Xe
(-)0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.050.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
50
0.319
0.496
0.804
0.296
0.277
0.263
0.149
0.151
0.215
0.346
0.478
0.595
0.904
1.425
1.997
0.300
0.252
0.188
0.1620.2090.319
0.539
0.894
1.469
2.345
3.192
3.669
0.341
0.265
0.190
0.173
0.262
0.464
0.867
1.666
2.678
3.846
4.782
5.174
0.381
0.286
0.197
0.187
0.343
0.664
1.302
2.544
100
0.349
0.505
0.814
0.331
0.357
0.295
0.179
0.179
0.232
0.386
0.510
0.617
0.908
1.429
2.003
0.333
0.281
0.231
0.1850.2340.349
0.565
0.904
1.459
2.321
3.174
3.680
0.371
0.291
0.214
0.197
0.282
0.478
0.874
1.650
2.641
3.808
4.765
5.189
0.409
0.312
0.222
0.210
0.358
0.672
1.297
2.511
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.373
0.523
0.823
0.362
0.417
0.334
0.215
0.204
0.240
0.398
0.531
0.639
0.916
1.432
2.009
0.365
0.310
0.267
0.217
0.2610.371
0.582
0.917
1.456
2.304
3.161
3.690
0.401
0.318
0.240
0.223
0.303
0.493
0.882
1.639
2.611
3.776
4.750
5.204
0.437
0.338
0.248
0.232
0.374
0.682
1.296
2.484
0.381
0.542
0.832
0.393
0.445
0.364
0.247
0.230
0.269
0.413
0.543
0.654
0.924
1.435
2.017
0.397
0.341
0.302
0.247
0.2890.395
0.600
0.926
1.445
2.274
3.135
3.702
0.430
0.347
0.268
0.251
0.327
0.510
0.887
1.618
2.566
3.730
4.727
5.219
0.464
0.364
0.275
0.257
0.391
0.690
1.287
2.442
0.444
0.6000.874
0.513
0.501
0.451
0.347:
0.314'
0.335'„_
0.449
0.574
0.700
0.964
1.444
2.040
0.526
0.451
0.394
0.345.
0.3660.473
0.646
0.963
1.454
2.235
3.099
3.745
0.551
0.453
0.367
0.332L0.389
0.567
0.923
1.606
2.495
3.636
4.682
5.278
0.582
0.467
0.371 _
0341. ,
0.453
0.733
1.296
2.372
0.504..
0.6560 316
0.630
0.562
0.493;
0.385
0.348
. .0.400
0.482. .
0.611
0.751
1.010
1.471
2.065
0.652
0.554___
_O464
0.419
JJ.4330.528_
0.688
1.016
1.480
2.219
3.079
3.786
0.672
0.555_
. ..0,461
.0,4.130.455;
0.620
0.961
1.613
2.453
3.571
4.646
5.336
0.701
0.566_
0.461
0.513,;
0.776
1.313
2.329
0,560
0.7110 9=8
0.741
0.647;-
0.572
0.44?
0.403
0.432
...0.523
0.653
0.804
1.060
1.506
2.091
0.776
0.657
0.553
0.4740.4700.581
0.735
1.066
1.516
2.216
3.065
3.825
0.793
0.656
0.551
0.490
0516
0.673^
1.004
1.628
2.428
3.520
4.620
5.388
0.822
0.665
0.543
0.494
0.57.3
0.823
1.334
2.296
1000
. .0,6170.7671 005
0.838
•0.728
0.616
0.480
0.450
0.472
0.S63
0.701
0.858
1.113.
1.549
2.123
0.890
0.751
0.628
0.533
0.5170.604
0.782,
1.122
1.566
2.244
3.080
3.861
0.910
_ 0.748'
0.622
0.543
0.561
0,71.7
1.052,
1.678
2.463
3.524
4.625
5.434
0.943
0.756
0.619
0.547
0.6180.866
1.377
2.327
2000
0.904
1,048
• riv
~ 1.341
1.131
0,927
0.745
0.6690.694
0.761
0.933
1.132
1.385
1.758'
2.277__
1.455
•I .2130.998
0.814
0.7490.822
1.011
1.402
1.820
2.382
3.141
4.042
1.493/
• 1.208
0.9810.814
0.793
0.944
.1-28.71.915;
2.616
3.544
4.635
5.681
1.546;
'-' 1.211
0^974
0.819
0.852
. 1.087.
1.5691'
2.459
3000
1 204
1.345• 4«^
1.818
1.524;
1-245
1.005
0.894;
0.904J
0.965j
1.170,
1.397]
1.643J
1.969J
2.438
2 , 0 . •
1 .G6''j1.357
1.C93O.P-'S1.0 iC
1.6'?
2.CW2.i>21
3.214
4.21 '•
2.073
1.66S1.350
1.101;
' 1.039
1.180,
1.5182.135:
2.748
3.548
4.637
5.928
2.140
1.664'
1.339
1.108;
1.102
1.314
1.75?
2.564
192
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
100
100
100
100
2000 0.60
2000 0.80
2000 1.00
2000 1.20
3.863 3.815 3.7725.169 5.131 5.0976.178 6.167 6.1566.638 6.654 6.669
3.714 3.5905.054 4.9486.143 6.1106.685 6.747
3.4994.8636.0856.809
3.4284.7936.0826.871
3.4394.7876.0806.926
3.465 3.4654.731 4.6526.079 6.0667.208 7.496
100
100
100
100
100
100
100
100
100
100
100
100
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.4180.2990.2030.2300.5481.0852.1104.0035.7987.4608.7829.477
0.4460.3260.2280.2500.5581.0872.0963.9665.7567.4328.7789.492
0.4730.3530.2530.2700.5691.0902.0863.9315.7157.4068.7749.506
0.5020.3800.2790.2930.5801.0902.0693.8905.6717.3798.7699.522
2.2443.5065.0186.8928.731
10.066.. 10.373
100
100
100
100
100
100
100
100
100
100
100
100
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.435
0.296
0.205
0.278
0.749
1.458
2.770
5.171
7.452
9.591
11.310
12.193
0.4640.3250.2310.2960.7571.4582.7595.1457.4229.569
11.30412211
0.4910.3530.2560.3150.7661.4602.7495.1207.3939.548
11.29912 225
0.5220.3830.2830.3360.7741.4622.7375.0947.3659.527
11.29112.239
0.634
0.489
0.378
0.413
0.816
1.474
2.711
5.012
7.270
9.462
11.277
12 2S5
0.7490.5900.4700.489,0.8611.4942.7094.9567.1909.409
11.26812.354
0.8620.6890-558.
0.974
0.908
1.517
2.690
4.890
7.1189.361
11.26212.412
0.956;;1.5552.7034.8667.080
9.33711.25012.471
1.532" "
1.222 "fjtfef1.00? -1.387
1.7362.7704.7436.882
9.213
11.244
12 768
.1.448
2.823
4.6066.684
9.083
11.230
13 070
100
100
100
100
100
100
100
100
100
100
100
100
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.458
0.285
0.208
0.334
0,943
1.798
3.360
6.2349.009
11.648
13.764
14.832
0.488
0.316
0.234
0.350
0.951
1.800
3.3566.221
8.989
11.62813.75414.845
0.5160.3460.2590.3670.9591.803
3.353
6.2098.970
11.609
13.74614.858
0.5490.3790.2870.3880.967
1.804
3.3496.199
8.954
11.590
13.734
14.872
0.6630.489
0.382
0.4601.004
1.820
3.342
6.1578.894
11.53213.71014.926
0.777
0.594
0.474"
0.534
1.045
1.840
3.337
6.1208.843
11.486
13.69214.982
0.8890.695
0.994 1.524
0.607,,1.0881.8623.3346.0858.795
11.446
13.67815.039
1.134'
1.896
3.347
6.060
8.75811.424
13.67015.096
s " 1.020 1.40®. .gjKis. . JJM8
3.4005.9358.576
11.314
13.66515.382
3.4395.805
8.403
11.201
13.658
15.670
100
100
100
100
100
100
100
6000 -0.20
6000 -0.10
6000 -0.05
6000 0.00
6000 0.05
6000 0.10
6000 0.20
0.505
0.277
0.212
0.387
1.117
2.112
3.940
0.535
0.310
0.238
0.402
1.124
2.115
3.939
0.565
0.341
0.263
0.418
1.132
2.118
3.938
0.599
0.375
0.291
0.438
1.140
2.120
3.935
0.719
0.493
0.387
0.506
1.174
2.137
3.935
0,9600.605i:0.480
0.5771.212
2.155
3.937
0.569*0.6471.251
2.1763.942
1.076P0.807.
0.7051.2902.2033.953
1-.658
• 1.285
1.008';
1.4912.3344.010
Z2S01.78?
1.708
2.480
4.064
193
p
(kPa)
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
100
200
200
200200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
G
(kgm-2s-1)
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
00
0
0
0
0
0
0
0
0
50
50
50
50
50
50
50
50
50
50
50
50
100
100
100
100
100
100
Xe
(-)0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.050.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
50
7.335
10.619
13.716
16.172
17.406
0.546
0.267
0.217
0.447
1.284
2.421
4.522
8.430
12.204
15.739
18.520
19.935
0.198
0.196
0.1800.161
0.120
0.089
0.050
0.066
0.099
0.102
0.094
0.068
0.236
0.229
0.195
0.149
0.108
0.087
0.087
0.111
0.127
0.131
0.144
0.212
100
7.323
10.596
13.692
16.160
17.419
0.577
0.301
0.242
0.461
1.292
2.425
4.521
8.416
12.179
15.714
18.509
19.947
0.222
0.220
0.2040.181
0.142
0.112
0.077
0.079
0.126
0.129
0.124
0.097
0.264
0.253
0.223
0.172
0.133
0.113
0.113
0.144
0.152
0.154
0.165
0.231
._
150 200
q (kW m-2)
400 600
Heat Transfer Coefficient (kW
7.312
10.575
13.669
16.150
17.432
0.608
0.333
0.267
0.475
1.300
2.430
4.520
8.403
12.156
15.689
18.498
19.959
0.252
0.244
0.2350.209
0.172
0.148
0.119;
0.116...0.150
0.162
0.155
0.128
0.290
0.279
0.253
0.194
0.153
0.137
0.147
0.170
0.183
0.196
0.198
0.250
•
7.300
10.556
13.647
16.137
17.446
0.641
0.368
0.295
0.495
1.309
2.433
4.517
8.390
12.135
15.667
18.486
19.973
0.282
0.268
0.2560.235
0.201
0.175
0.147
.0..143
0.174.
0.186
0.183
0J59 .
0.318
0.302
0.271
0.217
0.176.
0.158
0.165
0.185
0.191'
0.203.
0.220
0.272;
• • •
7.266
10.491
13.578
16.103
17.500
0.771
0.492
0.394
0.563
1.347
2.454
4.518
8.353
12.066
15.592
18.449
20.027
0.408
0.384
0.3630.338
0.313
0.302
0.281
0.274
., 0.297
0.306
0.304
. 0,285
0.421
0.389
0.354'
0.305
0.271
0.251
0.2510.260 .
0.273
0.288
.. P.-30.5
0.352
.:
7.238
10.440
13.524
16.077
17.557
0.904
0.612.
0.492
0.635
1.388
2.478
4.522
8.326
12.015
15.533
18.418
20.084
0.534
0.498
0.479'0.458
0.440Q.428
0.410
0.404
0.418
0.425
0-424
0.409
0.524
0.478
0.4330.383
0.350
0.335
0-325
0.328
0.342
0.362
0.391
0.435
. •
800
m-2 K-2)
7.214
10.395
13.476
16.054
17.614
1.038
QJ29.0.588
0.708
1.431
2.504
4.529
8.304
11.969
15.479
18.390
20.141
0.662
_0.616
0.5960-576
. 0.5610.552
0.5380.531
0.541
0.547
0.548
0.533
0.625
0.566
0.515
0.467
0.4360.421
0.4070.406
0.420
0.444
0.475
0.518
" - . •
1000
7.200
10.369
13.453
16.052
17.671
1.175!
, .0-838
0.674...
0.773
1.476
2.537
4.547
8.299
11.947
15.449
18.379
20.198
0.795
Q.741
0,7210.704
0.691
0.682
aess0.662
0.671
0.676
0.675
0.664
0.719
0.649
0.593
0.543
0.511
0.498
0.483
„ 0.482
0.4S7
- 0.521 •
0.554
, 0.597
• :
:
. : .
.•
2000
7.132
10.239
13.340
16.043
17.959
"7.8601.382
1.109
1.110:
1.703
2.698
4.630
8.275
11.840
15.302
18.319
20.488
1.462
' 1.3661.350•1.3431.338
1.334
1.324
1.3181.323
1.324
1.321.
1.317
1.178
1.058
0.972
0.913
0.878
0.86S0.858
0.853
0.870
0.897
0.938
0.983
• •
3000
7.068
10.116
13.220
16.019
18.251
2.<S4
1J.'\'1.£>£9
1.S51
2.87 3
8.250
11 .-VL3
15/5318.24520.V83
2. 2 '
1.LE,
1 . ! ; • • - '
1.!.6=.
1.C---'.-
1.L .'
t.-i'O
1.--V.
1. • • ' •« :
1.-6-V
1.--:.a
1 • - • ' • > -
1.6571
1.482:
1.367
1.301:1.267
1.2561.251
1.243
1.262!
1.293J
1.343
1.38&;
•
194
Xe 50 100 150 200
q (kW m-2)
400 600 800
(kPa) (kg m-2 s-1) Heat Transfer Coefficient (kW m-2 K-2)200
200
200
200
200
200
100 0.20
100 0.40
100 0.60
100 0.80
100 1.00
100 1.20
0.1260.1510.1690.1730.2180.382
0.1610.1920.1950.2000.239
0.1920.2180.2260.2360.271
0.2060.233C.2340 2420.29!
0.2J:s
0 ,\>37
0312
0 363
0 3C30 321C 337C3/2C 43-
0 JOG
0 3/40.3-J5
0 433
C (3C2
1000
0i?80 4020 4LC-
2000
0 684
o beeo r;:--C7S2
Cc!i:
C M '
3000
0 9C5!
' Cb9
200
200
200
200
200
200
200
200
200
200
200
200
200 -0.20
200 -0.10
200 -0.05
200 0.00
200 0.05
200 0.10
200 0.20
200 0.40
200 0.60
200 0.80
200 1.00
200 1.20
0.3090.3000.2860.1560.1350.1520.2070.2390.2740.3080.4990.810
0.343
0.372
0.322
0.193
0.174
0.192
0.256
0.321
0.325
0.329
0.502
0.820
0.370
0.423
0.358
0.229
0.206
0.206
0.273
0.365
0.368
0.370
0.521
0.827
0.397
0 446
0.383
0.263
0.239
0.239
0 306
0.406
0410
C415
0 536
0 835
0 4930 4830 4550 3590.3220.2870.3520 4280 4350 4450 5950.371
0 585
C53-
0 484
0 -1C6
C3b-'
C33--
0.38/
0 42C
0 AA2
0 506
0 655
0.912
0.675
0 599
C5b;
C 453
0.410
o 38::
0 415
C46*
C £8G
0 713
0 955
0 752
C 6C4
0.40-i0.4280.46'0 5100 54-
0 767
1 C01
' -4?
G84'
o /?:.
1 bbii
1 3'i'
0 5b?.C5S"C /31-
OSSS
1 C401.232
0 967* f\ *» -i
v O •
• 152
1 332
200
200
200
200
200
200
200
200
200
200
200
200
500 -0.20
500 -0.10
500 -0.05
500 0.00
500 0.05
500 0.10
500 0.20
500 0.40
500 0.60
500 0.80
500 1.00
500 1.20
0.325
0.289
0.261
0.171
0.188
0.219
0.311
0.461
0.593
0.921
1.428
2.016
0.359
0.332
0.292
0.202
0.220
0.267
0.367
0.488
0.610
0.922
1.430
2.020
0.389
0.400
0.332
0.230
0.240
0.282
0.388
0.526
0.640
0.929
1.434
2.024
0.418
0.441
0.362
0.260
0.263
0.314
0.444
0.574
0.665
0.931
1.436
2.028
0.528
0.505
0.453
0.361
0.350
0.398
0.486
0.599
0.710
0.973
1.461
2.046
0.638
0.563
0.496
0.425
0.424
0.480
0.535
0.634
0.762
1.021
1.485
2.068
0.740
0 5cG
0 43S
0 492
0 549
0 670
0 817
1 075
1 519
2 093
0.830S-
0 726! '"•'
0 614
0 533
0 484
0 53?
0 bS--"
C716
0 87C
1 127
1 562
2 125
0219
C /5"
0 552
0 .'C-'
C7C6
CE3C
• 143
1 40?
• 773
2 273
; 1.740
- '/?••
I 030!
G.892
O.ZZo
O-Jbe1 :f,S
"• 404
'• 80S
' 03:;
2 <i;is
200200200200200200200200200200200200
100010001000100010001000100010001000100010001000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.3400.2820.2530.2100.2640.3350.5470.9131.5062.4263.2973.703
0.3710.3080.2650.2380.3010.3700.5810.9171.4942.3953.2723.713
0.3990.3330.2960.2680.3360.4040.5980.9381.4842.3733.2533.723
0.4300.3600.3250.3000.3690.4530.6220.9521.4692.3363.2203.735
0.5460.4630.4250.4230.4960.5980.6750.9741.4732.2833.1683.775
0.661 0.7750.561 0.6630.539-;:i"
0.881 0.753' 1-20Q
1.9331.642
: 0-7.68
1.02
0.799JC
1.577 1.836,-^2.(388.2.267 2.411 2.5573.100 3.178 3.2463.886 4.056 4.223
200
200
200
200
200
1500 -0.201500 -0.101500 -0.051500 0.001500 0.05
0.3940.2980.2260.2130.304
0.421
0.321
0.248
0.237
0.328
0.4470.3450.2720.2680.360
0.4720.3700.2980.2960.391
0.5780.4700.3850.373;0.442
0.683 0.7900.567 twJ16630.474 — # : ^ 2 '
'i|?442"v- Q. 040.493*"
0.897 1.427-vg0.752-'-"T.W:"
..0.556'.. . 0:820.-- f.'tqq0,577 ~ llSGOV 1.037-
195
p
(kPa)
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
200
G
(kgm.2 8-1)1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
30003000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
Xe
(")0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
50
0.479
0.892
1.704
2.760
3.994
4.943
5.215
0.446
0.328
0.225
0.208
0.355
0.680
1.332
2.613
3.998
5.374
6.384
6.685
0.5070.357
0.239
0.250
0.562
1.115
2.169
4.134
6.023
7.768
9.080
9.544
0.553
0.367
0.247
0.298
0.773
1.506
2.862
5.357
7.753
9.996
11.701
12.284
0.588
0.364
0.253
0.355
100
0.492
0.895
1.685
2.715
3.948
4.920
5.231
0.471
0.352
0.249
0.230
0.371
0.687
1.325
2.574
3.941
5.329
6.368
6.701
0.5310.382
0.264
0.270
0.571
1.114
2.153
4.092
5.973
7.733
9.070
9.558
0.577
0.395
0.272
0.317
0.780
1.504
2.848
5.326
7.715
9.966
11.689
12.297
0.614
0.394
0.278
0.371
150 200
q(kW
400
m-2)
600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.511
0.902
1.672
2.681
3.909
4.900
5.246
0.495
0.376
0.273
0.253
0.388
0.696
1.323
2.543
3.891
5.287
6.353
6.717
0.5540.406
0.287
0.289
0.581
1.112
2.141
4.052
5.924
7.699
9.061
9.572
0.600
0.420
0.296
0.335
0.787
1.503
2.835
5.296
7.678
9.937
11.679
12.310
0.638
0.422
0.302
0.388
0.529
0.903
1.643
2.627
3.853
4.871
5.262
0.518
0.400
0.299
0.278
0.405
0.702
1.310
2.493
3.824
5.235
6.334
6.733
0.5760.432
0.313
0.312
0.590
1.113
2.119
4.003
5.869
7.661
9.048
9.586
0.623
0.448
0.322
0.356
0.793
1.497
2.817
5.262
7.640
9.905
11.66312.324
0.664
0.452
0.330
0.4C9
0.598
0.939
1.628
2.543
3.738
4.806
5.321
0.617
0.494
0.390
0.354
0.460
0.740
1.316
2.413
3.679
5.104
6.282
6.795
0.6710.524
0.403
0.391
0.640
1.130
2.086
3.880
5.712
7.547
9.014
9.641
0.711
0.541
0.412
0.433
0.833
1.504
2.780
5 :S1
7 516
9 836
'.: 623
'2 3V9
C 75S
0.551
0.421
0 4S2
0.649
0.976
1.625
2.486
3.648
4.754
5.378
0.718
0.585,,..
... JMZT"
. -.Q,431
0.519..
0.783
1.327
2.353
3.568
5.000
6.240
6.855
0.7670.614
0.488
0.467..
0.690
1.153
2.061
3.781
5.582
7.451
8.983
9.699
0.799
0.630
0.498
0.509:
0.876
1.518
2.748
5 072
74109 /2C
11 537
'2.435
0 84-3
0.645
0.509
0.555
0.689
1.017
1.641
2.455
3.579
4.709
5.435
0.821
0.677
0.561
0.508
...0-582
0.831
1.348
2.319
3.483
4.911
6.203
6.915
0.865_ 0.702
0.571
05400.741
1.181
2.050
3.698
5.469
7.364
8.955
9.757
0.887
0.717
0.581
0.583
0.922
1.537
2.731
4.39S
7.312
9 640
i 1.554
12 491
0 931
0.736
0.593
0 630
1000
1.064....,
1.691
2.489
3.577
4.704
5.481
0.929r
0.764
O.S30
0.560
0.626
0.875
1.389
2.351
3.493
4.898
6.200
6.970
0.970-0.786
0-640
0-596
0.788
1.221,
2.076
3.694
5.439
7.329
8.949
9.817
0.979'
0.795.
0.651
0.642-
0.970',
1.575
2.7504 9"<4
7 263
9 :599
1- 547
i2=oC
1 024
0.664c t'isr.
2000
0-951-1 ,298
1.933..2.646
3.574
4.700
5.712
1.4661.198
0.976
0.829
0.859
1.09$
1.588
2.489
3.511
4.807
6.166
7.249
1.4921.205
0.989
0.881
1.027
... 1-417.2.185
3.639
5.256
7.135
8.907
10.117
1.436
1.188
0.998
0.943
.... .1-2J21.755.
2.818
4.830
7.004
9.379
11.493
12.842
1.467
1.211
1.021
3000
1.'-'J
1.&2i
2.7/9
3.53'4.66"
5.6^3
2.014
1-639
. 1.335;
1.114
1.10®
1.320
.....1.-77$'2.597
3.515
4.687
6.104
7.532
2,0191.628;1.349
1.183
1.277,
1-61?2.278
3.552
5.053
6.923
8.841
10.420
1,'JJ?
1.L.S-'
1.3^S
1 :/">/
1.1-J?2.855
4.c5b
6.T33
9.145
11.4,6
13.13=:
1W3
1.01.:
I.'il?
196
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
200
200
200
200
200
200
200
200
5000
5000
5000
5000
5000
5000
5000
5000
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.976
1.862
3.481
6.466
9.375
12.141
14.237
14.936
0.982
1.861
3.473
6.448
9.349
12.113
14.223
14.949
0.990
1.860
3.466
6.431
9.323
12.086
14.210
14.962
0.996
1.858
3.456
6.413
9.298
12.056
14.189
14.976
1.029
1.866
3.434
6.351
9.211
11.965
14.140
15.030
1.068
1.879
3.417
6.296
9.133
11.886
14.093
15.085
1.110
1.895
3.404
6.243
9.060
11.813
14.051
15.140
1.157
1.928
3.414
6.211
9.008
11.770
14.039
15.196
2.087'"
3.453
6.042
8.745
11.549
13.960
15.473
1-833
3.477
5.868
8.487
11.313
13.857
15.749
200
200
200
200
200
200
200
200
200
200
200
200
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.633
0.360
0.258
0.406
1.153
2.186
4.081
7.606
11.047
14.289
16.719
17.526
0.661
0.392
0.284
0.421
1.159
2.187
4.076
7.588
11.018
14.258
16.704
17.539
0.688
0.423
0.308
0.437
1.166
2.188
4.071
7.572
10.989
14.228
16.690
17.552
0.716
0.456
0.336
0.457
1.172
2.189
4.062
7.552
10.961
14.196
16.669
17.566
0.822
0.567
0.431
0.528
1.206
2.196
4.048
7.496
10.869
14.095
16.612
17.620
0.927
0.673
0.523
0.600
1.242
2.210
4.037
7.447
10.791
14.008
16.557
17.676
200
200
200
200
200
200
200
200
200
200
200
200
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.663
0.348
0.261
0.465
1.325
2.506
4.681
8.733
12.687
16.384
19.128
20.068
0.692
0.382
0.287
0.480
1.332
2.508
4.676
8.714
12.656
16.352
19.115
20.081
0.721
0.415
0.313
0.494
1.339
2.511
4.672
8.697
12.625
16.321
19.101
20.093
0.750
0.448
0.341
0.514
1.346
2.511
4.663
8.676
12.595
16.289
19.080
20.107
0.867
0.569
0.440
0.583
1.383
2.526
4.652
8.619
12.498
16.182
19.021
20.161
0.986
0.684
0.537
0.657
1.423
2.544
4.644
8.571
12.417
16.088
18.962
20.216
1.105
0.796^
0.631 ; |
0.731
1.466
2.566
4.640
8.528
12.344
16.000
18.904
20.271
1.232
0.900."
0.797i;
1.512
2.598
4.651
8.510
12.301
15.944
18.870
20.327
1.864
•1-420,;*s
i.%r1.137J
1.746*;:
2.754
4.702
8.413
12.085
15.653
18.678
20.608
2.501
2.908
4.740
8.305
11.864
15.350
18.464
20.891
500
500
500
500
500
500
500
500
500
500
500
500
0 -0.20
0 -0.10
0 -0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.246
0.233
0.214
0.198
0.173
0.152
0.122
0.124
0.147
0.155
0.148
0.118
0.272
0.257
0.238
0.221
0.197
0.176
0.150
0.145
0.173
0.182
0.177
0.147
0.299
0.283
0.266
0.247
0.226
0.211
0.186
0.178
0.194
0.209
0.204
0.178
0.439
0.417
0.401
0.383
0.369
0.358
0.338
0.328
0.340i
0.348?;
0.347
500
500
500
50 -0.20
50 -0.10
50 -0.05
0.276
0.258
0.299
0.279
0.323
0.300
0.346
0.322
0.436
0.4040.527
0.488
0.617:.
0.571"
197
p
(kPa)
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
G
(kgm-2s-1)
50
50
50
50
50
50
50
50
50
100
100
100
100
100
100
100
100
100
100
100
100
200
200
200
200
200
200
200
200
200
200
200
200
500
500
500
500
500
500
500
500
500
500
500
500
1000
1000
Xe
(-)0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
50
0.202
0.1570.142
0.'20
0.125
0 133
0 150
0 173
0 242
0 3C2
0 252
0 263
0213
0.163
0.130
0 115
0.1 OS
0.107
0.163
0 2'-7
0 4C1
0.342
0.321
0.303
0.216
0.162
0.122
0.148
0.172
0.180
0.293
0.506
0.827
0.407
0.361
0.307
0.227
0.210
0.188
0.245
0.377
0.543
0.975
1.556
2.058
0.454
0.398
100
0.225
0 ISO
C '65
C 143
0 i53
0 155
C'72
Z '93
0 25C
0 223
C334
0.286
0 2^2
0.191
0 158
0 156
0.148
0.131
0 193
0 264
0 412
0.369
0.343
0.322
0.238
0.197
0.158
0.182
0.234
0.238
0.311
0.511
0.831
0.437
0.386
0.345
0.259
0.255
0.242
0.275
0.384
0.549
0.973
1.540
2.055
0.482
0.422
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
C.241
0 2 3
0 '?.9
C ' " '
C i ' " '
0 192
0 iC6
C220
C278
:S48C.324
C.293
0.252
0.2'4
0.179
C ' 35
0 13'
0 198
C 2 i 6
Q.233
0^24
0.392
0.362
0.334
0.248
0.220
0.185
0.195
0.264
0.313
0.344
0.529
0.834
0.462
0.412
0.378
0.286
0.302
0.310
0.328
0.415
0.551
0.970
1.530
2.053
0.507
0.437
C261
C 233
0212
0 189
3 194
C 21-
C.215
0 243
:.297
0 3^3
C.346C 31?
C 2~2C224
0.19S
C.I 86
C 203
C 223
0 236
C 202
0 435
0.419
0.386
0.357
0.275
0.241
0.208
0.214;0.282
0.349
0.368
0.543
0.836
0.492
0.439
0.405
0.318
0.333
0.360
0.392
0.452
0.554
0.958
1.509
2.040
0.536
0.454
0 340
C3I4
C.2C2
G2SS
0 ?CA
C 2 'S
C •>:-4
0 322
0 372
0.457
0419
0 3~7
c:s3c
0 2Sf:
C7- 'C
<y/A7:
C .V56
C 2 • '
0 3C50 371
O/iSS
0=03
C.460
0.416__0.358
0.326
0.291
.0.289
0.329!
0.387;.
0.429
0.597
0.860
0.588
0.519
0.493
0.440
0.452
0.457
0.464
0.519
0.656
1.007
1.508
2.039
0.632
C 529
0.4 IEfJ JS4
C 3~?
C242
0 33E
C 3L-4
0 37::
G&~Q
C43'
C542
0 491
G.OSE;
C JU3
0 3"'-"
0 2Z4
0 3:>
Coi8
C3'!-l
C-4 '
0 543
0 556
0.528
0.466
0.411
0.375
o.3ei0.3330.374
<W38
0.497;...0.656
0.897
0.681
0.599
0.533
0.539'
0.547
0.555i .
0.560^.
0.583
0.738
1.051
1.526
2.038
0.729
0.629
c.so:0 47 j
0 45/c 4? :
C*1?
C42E
C4C:!5
C 48R
C =?.'
0 624
0 b--'
Cu iJ
C^DS
0 4 1S
C3L4
C 3r5-C3C4
OSS'
0*4?
ciii:
C6C?
0.666
0.587
0.527
0.455
0.417
0.405
0.391
0.423
0.480
. .0.5690.720
0.944
0.769
0.679
0.585
0.642
0.548
0.560
. ...0.5.650.651,,
0.814
1.107
1.553
2.074
0.825
0 /18
1000
Ct73
C 549
J-;c
C 487
C5C4
G b2a
0 6C6
CGi?
C.o3J
Cb(:9
Gi 'T
C-.'2
C 44!"
C41fcC 41 •'
0 4L;'
C 4SS
coo;-
• 0.728
0.656
0,579
0.502
0.461
0.448
.0.4350.468
O.530
0-623
0.773.
0.991 _
0.842
0.747
0.642
0.591
0.568- 0.568
• 0.586
..._ 0-697
0.869
1.161,
1.598
2.110
0.916
0.803
2000
C S45
C ECs
C 5S::
G S6r:
C 6C3
C £-31
C953
' .03"
C '343
0 ."L-!3
0 W
0.^:9
0 6»?
C 6;'fc
G .'!•'.
C77'
C 84--'
C •)'.£
1.0480.954
0.843
0.743
0.684
0.666
0.657
0.698
0.781
O.S90
1.036
...1-221
1^3T
1.104
0.933
0.776
0.707
0.7200.767
0.944
1.162
1.43$
1.804
2.272!
1.381• ;-J2a
3000
1.33'
" 2r5i
• 2 = 1
' 22'd
• •>&$
' 2" 3
• 521}
' M^
- ? s •
i ;L-3
• c-:-;i C1b
Z 'S./0:-4J
0.3t4
' C63
i i£0|
' ??:;
1.402
1.27&
1.12811.005'
0.92S
0.908^
0.900J0.947'
1.052'
1.181;1.3251
1.614
1.44©
1.215
0.997
0.881
0.8970.956;
1.171;
1.427.
1.697
2.022
1.843:
' 542
198
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000 3000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
500
500
500
500
500
500
500
500
500
500
1000 -0.05
1000 0.00
1000 0.05
1000 0.10
1000 0.20
1000 0.40
1000 0.60
1000 0.80
1000 1.00
1000 1.20
0.3480.2880.2910.3860.5670.9171.5872.6383.5623.792
0.3830.3230.3400.4140.5900.9241.5692.5923.5193.797
0.4000.3620.3970.4810.6230.9451.5462.5563.4843.802
0.4140.4020.4520.5310.6540.9621.5232.5053.4343.809
0.5340.5290.5720.6180.7111.0101.5252.4133.3253.824
0.5900.587!;.0.625E0.6940.7541.037
1.5292.3393.231
3.845
0.626..
0.665|;0.793
1.1051.554
2.297
3.1663.870
0.834|
1.161|1.6062.3223.1643.905
1.040
1.434
1.875:-
2.475
3.242
4.064
'1.073
0.789 "s»0.:9&4j
1:705;
2.6333.3094.227
500
500
500
500
500
500
500
500
500
500
500
500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.5190.4070.3200.3080.3650.5350.9451.7892.9694.3695.3615.362
0.5430.4280.3400.3300.3940.5530.9481.7682.9134.3045.3175.339
0.5640.4470.3780.3770.4390.5770.9581.7562.8714.2475.2775.351
0.5870.4670.4050.4040.4690.6020.9601.7252.8064.1715.2275.366
0.6700.5520.4600.4550.4990.6440.9921.7072.6954.0015.0955.409
0.7271.0581.7082.5553.7324.8805.505
500
500
500
500
500
500
500
500
500
500
500
500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.5830.4380.3120.2760.4060.7311.4112.7794.3385.8996.9186.920
0.6030.4600.3340.2960.4190.7341.4002.7354.2685.8356.8866.890
0.6210.4790.3560.3300.4400.7411.3942.7004.2065.7776.8556.860
0.6400.5010.3810.3510.4550.7461.3772.6424.1225.7046.8186.853
0.7140.5790.4590.4100.4990.7811.3732.5463.9365.5136.7106.910
1.1191.6232.5573.6264.9976.3687.347
500
500
500
500
500
500
500
500
500
500
500
500
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.6800.4860.3320.3160.6151.1922.3144.4646.6028.5659.8429.845
0.6970.5080.3550.3350.6221.1892.2964.4146.5358.5109.8189.820
0.7120.5270.3760.3520.6291.1882.2824.3686.4698.4569.7959 800
0.7250.5470.3990.3730.6371.1802.2544.3066.3948.3969.7639.7/0
0.7850.6200.4780.4500.6831.1912.2134.1536.1738.2069.6699 798
0.847
0.6920.5540.522..0.7301.209
2.167
4.018
5.9818.042
9.5799.848
0.9100.764
,0.628.
J-593;.;0.7791.2342.1613.9095.8157.8909.4959.902
0.988.-;..
0.837" .
0.694..-«
0.827p1.271,.2.1793.8925.7637.816
9.4549.960
3CS34 1.233
2.2583.7745.4587.4249.221
10 254
2.3253.6135.1166.9998.950
10 551
500 4000 -0.20 0.782 0.796 0.809 0.819 0.866 0.912 0.960 1.022L-4^225-__..!,
199
p
(kPa)
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
500
G
(kg m-2s-1)
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
50005000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
Xe
(-)-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.001.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
0.520
0.349
0.369
0.847
1.628
3.088
5.829
8.531
11.041
12.695
12.700
0.852
0.535
0.364
0.430
1.073
2.031
3.791
7.069
10.331
13.415
15.44515.450
0.904
0.541
0.372
0.481
1.264
2.389
4.456
8.320
12.174
15.786
18.126
18.130
0.922
0.528
0.376
0.544
1.453
2.739
5.106
9.548
13.980
18.090
20.713
20.720
100
0.543
0.373
0.387
0.851
1.622
3.072
5.790
8.474
10.988
12.669
12.680
0.867
0.560
0.387
0.446
1.076
2.024
3.775
7.038
10.285
13.364
15.41715.420
0.923
0.571
0.398
0.497
1.267
2.382
4.438
8.287
12.125
15.734
18.100
18.105
0.946
0.560
0.402
0.559
1.457
2.735
5.091
9.514
13.927
18.038
20.689
20.692
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.564
0.394
0.403
0.856
1.618
3.058
5.752
8.419
10.937
12.643
12.650
0.881
0.584
0.410
0.464
1.081
2.018
3.761
7.009
10.241
13.315
15.38915.392
0.943
0.599
0.422
0.512
1.271
2.377
4.422
8.255
12.077
15.683
18.074
18.080
0.969
0.591
0.427
0.573
1.461
2.732
5.077
9.480
13.877
17.988
20.665
20.670
0.585
0.418
0.424
0.860
1.608
3.033
5.705
8.358
10.880
12.606
12.615
0.892
0.607
0.435
0.485
1.084
2.007
3.739
6.974
10.193
13.259
15.34615.350
0.958
0.626
0.448
0.533
1.274
2.368
4.399
8.215
12.025
15.625
18.031
18.040
0.988
0.620
0.454
0.593
1.466
2.724
5.054
9.440
13.823
17.929
20.625
20.630
0.657
0.498
0.499
0.892
1.602
2.990
5.571
8.163
10.693
12.501
12.591
0.943
0.687
0.519
0.555
1.109
1.997
3.690
6.865
10.034
13.081
15.23015.292
1.033
0.725
0.540
0.604
1.301
2.357
4.344
8.100
11.860
15.439
17.911
17.928
1.078
0.732
0.551
0.663
1.495
2.719
5.004
9.321
13.645
17.735
20.504
20.510
0.725
0.575
0.573
0.930
1.609
2.916
5.426
7.996
10.528
12.397
12.642
0.992
0.761
0.599
0.629
1.142
1.995
3.651
6.767
9.891
12.918
15.11115.342
1.108
0.818
0.628
0.679
1.333
2.353
4.296
7.995
11.711
15.266
17.786
17.979
1.167
0.834
0.645
0.739
1.530
2.719
4.958
9.212
13.486
17.552
20.372
20.561
0.791
0.649
0.645-..
0.973
1.624
2.913
5.337
7.839
10.369
12.299
12.695
1.042
0.832
0.676
0.703
1.180
2.000
3.620
6.676
9.754
12.763
14.99915.391
1.186
0.909
0.714
0.753
1.370
2.354
4.255
7.898
11.573
15.104
17.665
18.030
1.258
0.934
0.737
0.815
1.569
2.724
4.919
9.112
13.338
17.377
20.243
20.612
1000
0.856
0.712
.0,7.041.022
1.656
2.928
5.294
7.754
10.280
12.246
12.751
1.106
0.899
0-742
0.7S4
1.227.
2.029
3.617
6.619
9.659
12.663
14.93615.443
1.286
0.998
0.791'
0.816
1.412
2.376
4.248
7.840
11.474
14.991
17.585
18.081
1.364
1.030;
0.819
0.881.
1.613
2.747
4.908
9.048
13.233
17.245
20.146
20.663
2000
1.174
1.030
1.00?
1.-266
1.820
2.953
5.059
7.320
9.804
11.954
13.029
1.418
1.229
1.073
1,081
.,1.4632.169:.
3.596
6.315
9.175
12.141
14.58215.700
__ 1.768
1.4361.176
1.142
1.629-.
2.479
4.191
7.526
10.979
14.403
17.143
18.337
1.881
1.5021.236
. .. J.^301.840,
2.854
4.839
8.715
12.698
16.570
19.621
20.918
3000
1.504
1.360:1.323
1.518
... 1.8872.956
4.789
6.868
9.298
11.616
13.306
• 1.732
1.564!
1.416
1.412'
1.7032.305
3.564
6.005
8.687
11.588
14.17915.951
2.210
1.848
1.565,1.484!
... 1-837.2.554
4.095
7.180
10.470
13.792
16.664
18.588
2.376
1.8531.65$
1.595
2.052
2.919
4.707
8.318
12.127
15.869
19.066
21.167
200
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s -1 ) Heat Transfer Coefficient (kW m-2 K-2)
3000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
0 -0.200 -0.100 -0.05
0.000.050.100.200.400.600.801.001.20
0.3290.2960.2700.2470.2280.2150.1760.1680.1910.2050.2010.169
0.3530.3200.2930.2690.2500.2380.2020.1850.2150.2300.2280.199
0.3780.3450.3190.2960.2770.2640.2320.2190.2360.2560.2550.229
0.4010.3670.3410.3200.3070.2940.2640.2470.2590.2790.2810.258
0.5070.4740.4500.4300.4200.4090.3820.3670.3790.3890.3930.378
0.6130.5790.5560.5390.5310.5220.497*
0.481 '•
0.488*'
0.7220.6890.6690.654§0.6470.638 s
0.502: 0.616
0.8390.810-;
0.794-
N0-73.7*."0.^43''
1-423'
-1*41 ^
1.372
1-
-2,042:2.0391
2.01CJ1.S' "
"2:003Z002!
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
50 -0.20
50 -0.10
50 -0.05
50 0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
50
50
50
50
50
50
50
0.3590.3240.2960.2680.2340.2030.1550.1440.1650.1800.2120.274
0.3810.3450.3150.2880.2540.2220.1840.1680.1850.2000.2310.289
0.4020.3650.3350.2980.2730.2450.2020.196•0.2140.2210.2490 305
0.4230.3850.3540.3160.2900.2660.220'0.212^
0.5050.463...0.4310.3970.373|0345^
0.242 0.317'-
0.269 0.345p§
0.321 0 391
0.587 0.669-0.542^0.621^0.508' 0.5S57[f
. 0.555'0.531
.. 0.736
0JS96.**
0.8C(7
jH#q.93d
0 542
0.573
0 618
0.940 s
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
100 -0.20
100 -0.10
100 -0.05
100 0.00
100
100
100
100
100
100
100
100
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.385
0.352
0.324
0.300
0.245
0.195
0.139
0.121
0.154
0.195
0.274
0.419
0.407
0.373
0.342
0.305
0.264
0.222
0.183
0.159
0.174
0.215
0.289
0.425
0.429
0.392
0.355
0.309
0.265
0.237
0.199
0.185
0.221
0.236
0.303
0.433
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
200 -0.20
200 -0.10
200 -0.05
200 0.00
200
200
200
200
200
200
200
200
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0 439
0 406
0.37 i
0.325
0.260
0 178
0.136
0.156
0.245
0 345
0.544
0 79C
0 465
0.428
0416
0.345
0.283
0.222
0.185
0.236
0 279
0.363
0.54-'-
0.794
0 487
0 449
0 425
0.351
0.306
0.259
0.212
0.275
0.349
0 388
0.5c4
C7S8
0.511
0 475
0 441
0.357
0.325
0 27'
0.238
0.295
0.377
0 414
0.565
C8X
0 595
0 542
0 505
0.405
0.369
0.337
0 239
0 335
G 409
0 502
C622
0.8i4
0.667
0 604
0 541
•0.-457
0 406
03/'
0 331
Q2<~>
C 457
0 564
0 585
0 823
0/^0
0 867
G i": i 7
0 4a6
0 435
0 3D1
0.418
0.717
0.372
0.790
C71G
C ?43
O.bca
0.1) 1*
O.-i.'S
0.434
0.540COL-'.C •'•"!0.926
C »840 8J.G
0 80SC 739c bsa
C.GG3
C 534
0 733
C.faO*1 CAZ
' 'S i -
! i/S
i 07?;
0 L'Sf;
0 940
0 69!)C 9^8
' 'S31 33c
201
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
SO 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
500500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
10001000
1000
1000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.600.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.5400.502
0.478
0.320
0.277
0.224
0.204
0.343
0.610
1.124
1.690
2.074
0.625
0.584
0.539
0.376
0.345
0.418
0.562
0.921
1.7222.941
3.921
3.924
0.677
0.604
0.504
0.409
0.430
0.615
0.999
1.866
3.225
4.866
5.938
5.940
0.706
0.586
0.462
0.403
0.496
0.821
1.511
2.962
4.762
6.585
7.630
6.965
0.5710.542
0.521
0.339
0.298
0.268
0.247
0.361
0.605
1.114
1.661
2.050
0.655
0.622
0.585
0.391
0.358
0.420
0.593
0.948
1.6942.864
3.833
3.878
0.702
0.628
0.538
0.425
0.444
0.597
0.997
1.857
3.159
4.761
5.837
5.840
0.728
0.608
0.486
0.424
0.507
0.823
1.495
2.922
4.678
6.490
7.560
6.974
0.5950.574
0.544
0.359
0.318
0.309
0.306
0.410
0.593
1.100
1.650
2.029
0.679
0.648
0.599
0.426
0.396
0.441
0.613
0.974
1.6592.797
3.751
3.857
0.723
0.646
0.563
0.458
0.480
0.617
1.004
1.853
3.107
4.666
5.740
5.745
0.747
0.627
0.507
0.448
0.529
0.825
1.487
2.889
4.602
6.402
7.493
6.983
0.6240.589
0.560
0.384
0.351
0.348
0.367
0.454
0.593
1.152
1.646
2.020
0.710
0.673
0.600
0.454
0.453
0.504
0.620
0.980
1.6272.707
3.642
3.833
0.752
0.706
0.628
0.519
0.533
0.669
1.012
1.839
3.030
4.541
5.620
5.624
0.770
0.658
0.552
0.488
0.553
0.825
1.467
2.840
4.512
6.302
7.415
6.993
0.7140.652
0.610
0.457
0.430
0-421 ]
0.441
0.552
0.682
1.154
1.576
1.918
0.799
0.724
0.631
0.570
0.568
0.592
0.679
1.030
1.5852.501
3.374
3.749
0.830
0.775
0.686
0.587
0.596
0.716
1.045
1.838
2.876
4.239
5.286
5.413
0.843
0.728
0.623
0.555
0.597
0.846
1.443
2.740
4.264
6.009
7.180
7.026
0.7990.717
0.637
0.500/
0.462
.. P-4570-480;,.,
0.594
0.733
1.156
1.507
1.861
0.886
0.791
0.685
0.576
0.569
0.614
0.743
1.251
1.5822.322
3.108
3.698
0.911
0.828
0.715
0.600
0.597
0.726
1.086
1.979
2.803
3.984
4.852
5.389
0.918
0.802
0.692
0.619
0.647
0.871
1.453
2.735
4.092
5.731
6.953
7.088
0.8760.785
0.687
0.542
0.503
0.498
0.660
0.796
1.159
1.509
1.925
0.972
0.866
0.736
0.630
G.S20
0.6541
0.813
1.307
1.5652.246
2.919
3.620
0.991
0.897
0.778^
0.663.
0.643:
0.771
1.126
1.980
2.679
3.870
4.638
5.251
0.994
0.874
0.758
0.679.
0.697
0.898
1.458
2.689
3.901
5.500
6.759
7.120
0.941_..0.848.
0.742
O.5S9
0.543
0.5360.572
0.710
0.866
1.166
1.571
1.975
1.055
0.945
0.797
0.671
0.650
. ..0-691
0.863;
1.365
1.6222.286
2.917
3.618
1.076
0.979
_ 0.840
0.707.
0.680
0.810
1-165,_
2.001
2.696
3.875
4.686
5.321
1.076
0.957-
0.823
0.728
0.737
0.937:
1.488,,
2.658
3.799
5.432
6.738
7.171
1.2911.1800.999
0.8200.732
0.734
- 0.791
0.S86
1.182
1-443
1.791
2.206...
1.475
1.341
1.105
0.886
,0.809
0.880
......1.1001.604
1.9262.432
3.130
3.950
1.501
1-384
1.146
0.928
0.8711.008
_ 1-3512.075'...
2.801
3.877
4.?""
5." '
1.«\
• 1.367
1.147
0.S64
0.948
1.135
, 1.S42
2.573
3.673
5.136
6.553
7.454
1.61 a1.490
1.265
1.051-
0.932
0.S29
0.993
1.21S,
1.457
1.719
2.045"2,459
1.88$
1.6601.408
1.111
0.990
1.07f
1.313
1.769
2.152,2.620
3.289
4.196:
1.«:»•:•
1.?3.-:
1>DS
.i.'CL-
1.C-'1
1-21'J
t.^b
2.KJ2.808
3.880A nnn
1.660
1.475!
1.215J
i.16S
1.326
ijpse2.410
3.395
4.736
6.240
7.6951
202
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000 2000 3000
Heat Transfer Coefficient (kW m-2 K-2)
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
0.7770.5930.4350.4180.7131.2982.4674.8437.3259.570
10.7959.915
0.7940.6140.4590.4380.7191.2992.4624.7967.2429.496
10.7579.930
0.8090.6330.4790.4560.7261.3002.4614.7527.1619.425
10.7209.946
0.8230.6540.5050.4820.7371.3032.4514.6997.0779.352
10.6749.958
0.8810.7240.5810.5540.7771.3212.4454.5356.7929.096
10.52710.024
0.9410.7950.6550.6250.8231.3542.4404.5016.6188.898
10.40410.084
1295' 1.651
2.3585-
3.820
5.641
7.819
9.668
10.483
3.3724.9897.0769.148
10.777
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.881
0.6250.4530.4770.9641.7663.3076.378
9.50312.35713.932
12.775
0.892
0.6470.4750.4940.9681.771
3.322
6.3509.428
12.27713.88312.737
0.9030.6670.496
0.512
0.9711.779
3.339
6.324
9.35612.19913.841
12 799
0.910
0.687
0.5200.5340.9791.783
3.347
6.2899.280
12.117
13 782
12.810
0.9510.7570.5970.6051.0041.813
3.406
6.1909.015
11.83513.60012.802
0.9910.8240.6700.6761.0431.8573.6756.1808.791
11.585
13.423
12.915
1.035
0.8890.741
0.746
1.0861.910
3.740
6.1738.554
11.361
13.253
12.972
1.087: 1.344
0.951 -1.261'
0.806. 1.129
1.131L.1.9143.7455.9548.427
11.166
13.13913.020
1.990-3.7505.2907.666
10.320
12.527
13.273
3 0904 7325 8839 469
11.8V5
'3.538
100010001000100010001000100010001000100010001000
500050005000500050005000500050005000500050005000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.9690.6520.4740.5451.2192.2444.154
7.81711.549
15.028
16.95515.549
0.9770.6740.4960.5611.219
2.237
4.148
7.783
11.478
14.945
16.902
15.556
0.9S6
0.6950.5180.578
1.2212.2314.1437.750
11.40914.86616.85215.563
C.9G0
0.715
0.541
0.5971.221
2.219
4.127
7.709
11.338
14.777
16.780
15 572
1.023
0.787
0.622
0.6691.2382.2074.1067.576
11.09214.48716.57215 604
1.0570.8550.7000.7441.2642.208
4.093
7.460
10.873
14.22016.361
15 640
1.0940.9200.7750.8161.2972.2204.0917.346
10.66313.969
16.16515 676
1.1440.980:0.840K
0.879!
1.339,.
2.226
4.0527.221
10.576
13.78416.03515.724
2.291
3.8306.6099.688
12.844
15.333
15 982
2.3653.6085.9468.787
11.86314.572"6.190
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
6000 -0.20
6000 -0.10
6000 -0.05
6000 0.006000
6000
6000
6000
6000
6000
6000
0.050.100.200.400.600.801.00
1.050
0.6620.478
0.6001.4492.686
4.9649.252
13.628
17.695
19.894
1.059
0.687
0.5030.617
1.447
2.6664.926
9.195
13.55017.61219.848
1.068
0.709
0.5260.6331.4462.6484.8919.140
13.475
17.53119.802
1.0710.7300.5520.6561.4462.6264.8469.077
13.39717.44419.737
1.108
0.8090.6400.729
1.455
2.5664.7208.880
13.135
17.148
19.536
1.1490.8840.7250.8051.4672.5144.6078.696
12.894
16.87219.328
1.1960.9580.8070.8791.4812.4684.5048.521
12.66516.608
19.125
3.880
6.97110.517
14.25617.335
203
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
1000 6000 1.20 18.238 18.248 18.258 18.269 18.311 18.356 18.400 18.442 18.659 18.874
10001000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
70007000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
0
0
0
0
0
0
0
0
0
0
50
50
50
50
50
50
50
50
50
50
50
50
100
100
100
100
100
100
100
100
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
1.0740.647
0.483
0.674
1.671
3.087
5.695
10.637
15.679
20.296
22.726
20.886
0.531
0.428
0.373
0.335
0.329
0.315
0.245
0.220
0.251
0.276
0.280
0.244
0.545
0.458
0.410
0.372
0.344
0.309
0.219
0.173
0.201
0.231
0.270
0.329
0.561
0.484
0.445
0.407
0.374
0.315
0.206
0.133
1.0870.674
0.507
0.688
1.669
3.069
5.657
10.571
15.591
20.213
22.684
20.896
0.551
0.450
0.388
0.355
0.351
0.341
0.262
0.220
0.272
0.299
0.306
0.273
0.565
0.478
0.436
0.387
0.361
0.330
0.235
0.177
0.214
0.249
0.287
0.341
0.583
0.506
0.482
0.419
0.385
0.333
0.227
0.153
1.1000.700
0.531
0.702
1.667
3.051
5.621
10.508
15.507
20.130
22.643
20.906
0.572
0.474
0.412
0.379
0.368
0.354
0.304
0.258
0.300
0.324
0.331
0.302
0.584
0.498
0.453
0.403
0.370
0.337
0.271
0.211
0.235
0.267
0.302
0.354
0.604
0.527
0.492
0.421
0.386
0.346
0.263
0.183
1.1070.723
0.558
0.725
1.668
3.030
5.575
10.438
15.422
20.042
22.582
20.916
0.592
0.494
0.435
0.402
0.391
0.376
0.324
0.297
0.325
0.349
0.357
0.333
0.604
0.518
0.469
0.420
0.390
0.357
0.281
0.243.
0.259
0.281
0.315
0.363
0.625
0.549
0.504
0.430
0.394
0.361
0.270
0.206'
1.1570.813
0.650
0.794
1.673
2.969
5.440
10.204
15.123
19.731
22.386
20.960
0.686
0.595
0.539
0.509
0.500
0.487
0.441
0.415
0.433
0.441
0.457,
0.441'
0.682
0.596
0.545
0.496
0.466
0.429
0.352:
0.311
0.330:
0.369!
0.392:
0.436
0.704
0.619
0.569
0.489
0.441 _
0.407.
0.327
0.269
1.2080.897
0.739
0.869
1.682
2.913
5.310
9.980
14.848
19.439
22.179
21.004
0.780
0.695
0.644
0.614
0.606
0.595
0.556
0.529
0.537
0.540
0.558
,, 0.663
0.762
0.675
0.620
0.572_
0.542
0.500
0.420
0.381
0.4040.447
0.470
0.504
0.784
0.691
0.627
0.554-
0.506-
0.454
0.3570.324
1.2630.979
0.826
0.942
1.691
2.859
5.186
9.765
14.584
19.156
21.973
21.050
0.877
0.800
0.753
0.724
0.717
0.705
0.670
0.643
0.646
0.657
0.673
0.674
0.840
0-754
0.700:
0.651
0.621
0.577
0.492
0.450
0.476
0.511
0!635
,...0.566.
0.860
0.761
0.693,
0.622
0.574
0.516
0.414
0.376
1.3371.059.
0.901;
1.000
1.699
2.827
5.112
9.597
14.366
18.922
21.806
21.088
0.981'
0.915
0.874
0.849.'
0.843'
0.831;
0.795
0.768
0.772
0.781
0.796
0,796
0.902
0.826;
0.776
0.731
0.700
0.652
0.5620.518
0.544
0.581
0.60$
..J0.642.
0.914
......9.329'0,751
0.682
0.632
' 0.570
0.461
0.420
1.6951.452
. 1.284
1.310
1.740'
2.699
4.701
8.743
13.267
17.739
20.926
21.288
"""l502 '14881.483
; .-1.474".. 1.469
1.4571.4191.3971.3991.401 .1406.1,406
1.208
1.180
1.152
1.126
1.083.
1.019
0.901 :
0.844
0.874
0.919
0.968
1.010
1.193' 1.114
1.0410.978
• 0.918
•' 0,835
. 0.689
0.633
2.054
1JS1-
1.668!1.60S
.1-74.2=2.501
4.160
7.779
12.092
16.527
20.028
21.489
2T69Q2.0882.084i2.0822.078
2.Q65J2.0202.008:2.003:1.9981.996
1.997J
1.:
. 1 . •
1 . ••
1.1.'-
1.1 . •
1.
1..
1..1 . •
1. '
1,'-1,1, •
1.1.
\ : ••
0.
0.
204
p
(kPa)
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
G
(kgm-2s-1)
100
100
100
100
200200
200
200
200
200
200
200
200
200
200
200
500
500
500
500500
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1500
1500
1500
1500
1500
1500
1500
Xe
(-)0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
50
0.172
0 242
0 325
0.458
0.605
0.558
0.545
0.466
0.365
0.282
0.186
0.161
0.267
0.426
0.593
0 8'4
0.713
0.672
0.632
0.448
0.348
0.293
0.222
0.331
0.757
1.395
1.894
2.061
0.837
0.823
0.719
0.556
0.488
0.510
0.625
0.940
1.944
3.357
4.362
3.950
0.881
0.910
0.888
0.704
0.630
0.760
1 10/
100
0.183
0 259
C 33V
C457
0.628
0.600
0.610
0.486
0.384
0.307
0.217
0.219
0.300
0.452
0.594
0.802
0.740
0.719
0.667
0.463
0.373
0.328
0.266
0.379
0.779
1.393
1.853
2.018
0.868
0.861
0.729
0.536
0.471
0.509
0.624
0.938
1.912
3.240
4.212
3.889
0.911
' 0.940
0.899
0.705
0,631
0.764
1 133
150
0 199
0 275
0 3^8
0 459
0.650
0.616
0.616
0.488
0.400
0.339
0.253
0.256
0.325
0.483
0.599
0.793
0.762
0.743
0.681
0.476
0.389
0.360
0.313
0.408
0.780
1.394
1.841
1 985
0.893
0.886
0.730
0.547
0.481
0.515
0.665
1.035
1.881
3.132
4.065
3.827
0.936
0.967
0.929
0.717
0.643
0.765
1.140
200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
0 233
0 292
0.352
0 454
0.671
0.617
0.632
0.497
0.417
0.367
0.279
0.279
0.348
0.575
0.599
0.773
0.759
0.756
0.673
0.485
0.416
0.396
0.365
0.463
0.865
1.636
1.839
1.983
0.916
0.902
0.732
0.549
0.522
0.580
0.667
1.040
1.816
2.972
3.888
3.790
0.971
1.173
1.037
0.815
0.739
0.847
1.141
0 ?&'
0.395
0 435
0 522
0.754
0.683
0.677
0.539
0.458
0.409
0.331
0.353
0.433
0.695
0.700
0.796
0.848
0.804
0.705
0.534
0.480
0.466
0.461
0.590
0.863
1.473
1.683
1.768
1.011
0.958
0.733
0.569
0.565
0.638
0.732
1.162
1.653
2.509
3.289
3.497
1.062
1.200
1.074
0.881
0.801
0.884
1.167
C369
C*G8
0 504
0 561
0.826
0 748
0 690
0.533
0.503
0 403
0 3SS
0*15
0 48'
0.749
0.750
0.801
0.935
0.850
0.754
0.573
0.509
0.493
0 491
0 653
0 791
1.253
1 584
1 679
1 100
1 045
0 779
0.6 IS
0 5S6
0.664
0 857
1 738
1.740
2.346
2.843
3.303
1.150
1.205
1.113
0.896
0.805
0.886
1.347
0.426
0 490
0 5?8
C.fB
0.900
0 811
0 736
C625
0 =4S
0 493
0 404
0 420
0511
0 758
0 769
0 860
1 029
0.923
0 808
0 632
CM59
0^3
C558
0 779
0.797
1.255
1.599
1.776
1.189
1.089
0.833
0G6y
C537
0.713
1.000
1.740
1.742
2.311
2.622
2.978
1.233
1.208
1.133
0.942
0.843
0.906
1.439
1000
GAt">.
C541
0 L-S-
CS39
0-947,.,.
0 862?*
C 7S"7
0.677
0 bS7
0.536
0 447
0.443
0.1)61
0 i'-Z
0 82C
0 919
1 088s-
0.983
0 864
0 633
0 510
0 5P7
oece0.832
0.863
1.260
1.667
1.846
1.261
1 158
0 8S8
o ns0 576
0 e'49
1.052
1.840
1.841
2.367
2.776
3.053
1.306
1.278 S
1-177U0.971 "
0.873^"
0.940^
1.445"'
2000
C702
C .'8ii
0 £C7
C S3i
;. .1.19?
: C43
0.S34
CS4-
0 769
C3;-C
CSTS
C 704
" 01 =
• C.'G
' is:;
•-1 4ilP
1 3C •'
I 11?
oi'ie0 812
0 .'9.'
O.SL'-,
1 11?
' 1=j4
' 42'
' 764
2.117
1 531
" bOC1 Z?A
0 88C
C.95G
1 252
2.031
2.16C
2.541
2 356
3 687
1.680
Lin C"1\445 *;
3000
GSaS
' CE61 '-3LJ
• ?z?
?fpi34141
1.3C3
! ?35
' '0:
' C18
C&l?
G P^2
'. 0=3
' PCS
1 36S
• •-: G
4"70'i
' 504
" 3-2
•• til
'• 02LJ
• on
• 08?
• 3C8
1 5C:J
1 759
2.G2S
? 405
1 iuZ-
'.828
: 513
! M !
' 083
;. I-J6
1.44"
1 8d?
?'61
2.542
3 161
4.145
1..9g4t.skf
1.2«P?j"1.485
205
p
(kPa)
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
20002000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
G
(kgm-2s-1)
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
3000
3000
30003000
3000
3000
3000
3000
3000
3000
3000
3000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
Xe
(-)0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.050.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
50
2.021
3.644
5.597
6.787
5.642
0.873
0.798
0.692
0.621
0.689
1.030
1.752
3.326
5.491
7.734
8.768
7.189
0.897
0.722
0.5630.573
0.915
1.566
2.817
5.596
8.567
11.266
12.359
10.226
0.967
0.740
0.587
0.648
1.201
2.066
3.636
7.302
11.205
14.582
15.975
13.221
1.052
0.768
0.625
0.754
1.535
2.668
100
2.049
3.571
5.436
6.575
5.594
0.901
0.821
0.700
0.642
0.706
1.027
1.728
3.307
5.382
7.568
8.625
7.192
0.918
0.744
0.5670.585
0.928
1.571
2.847
5.547
8.460
11.158
12.308
10.268
0.981
0.764
0.607
0.663
1.205
2.089
3.753
7.315
11.088
14.466
15.909
13.239
1.060
0.792
0.645
0.765
1.528
2.664
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
2.086
3.508
5.285
6.359
5.544
0.924
0.842
0.732
0.666
0.714
1.025
1.713
3.305
5.282
7.405
8.484
7.194
0.938
0.766
0.5950.605
0.930
1.581
2.883
5.507
8.361
11.056
12.260
10.310
0.996
0.788
0.627
0.678
1.207
2.116
3.898
7.347
10.975
14.354
15.845
13.258
1.070
0.815
0.665
0.778
1.521
2.659
2.120
3.407
4.982
6.049
5.503
0.955
0.914
0.961
0.836
0.801
1.023
1.704
3.304
5.153
7.215
8.317
7.199
0.958
0.785
0.6340.637
0.936
1.604
2.933
5.432
8.242
10.951
12.201
10.352
1.009
0.808
0.647
0.694
1.208
2.138
3.995
7.348
10.861
14.237
15.764
13.278
1.077
0.842
0.685
0.789
1.512
2.644
2.240
3.157
4.5435.279
5.231
1.044
0.980
0.970
0.919
0.853
1.020
1.703
3.303
4.795
6.663
7.826
7.209
1.036
0.867
0.7150.711
0.966
1.622
3.017
5.311
7.892
10.606
12.027
10.511
1.070
0.894
0.723
0.756
1.229
2.241
4.406
7.359
10.452
13.846
15.511
13.352
1.120
0.922
0.764
0.849
1.503
2.640
2.550
3.156
4.173
4.356
4.972
1.131
1.035
0.972
0.920
0.855
0.983
1.700
3.302
4.658
6.122
7.136
7.219
1.110
0.954
0.7980.778
0.995
1.785
3.463
5.309
7.674
10.291
11.832
10.677
1.127
0.976
0.798
0.820
1.240
2.527
5.655
8.060
10.241
13.481
15.229
13.434
1.163
0.991
0.839
0.913
1.508
2.639
2.550
3.028
4.165
4.170
4.451
1.215
1.104
1.006
0.922
0.862
0.973
1.600
3.300
4.349
5.867
6.755
7.147
1.183
1.033
0.8740.846
1.049
1.750
3.213
5.252
7.452
9.980
11.628
10.863
1.186
1.054
0.871
0.888
1.302
2.704
5.586
7.736
10.001
13.189
14.985
13.514
1.208
1.063
0.916
0.981
1.523
2.638
1000
2.555
3.020
3.895
4.168
4.569
1.286
1.179-
1.063,
0.945
0.894,
1-040...1.590
3.169
4.194
5.576
6.750
7.235
1.241
1.102: '
0.944: '0.905
1.088-1.708
2.906
4.782
6.934
9.790
11.532
10.912
1,232:
1.113
0.940
0.957
1-349:..2.547
4.982
7.096
9.261
12.881
14.785
13.544
1.248-
1.118;
0.982'-
1.045'
1.550
2.609
2000
2.556| .
3.019
3.794
4.165
5.418
1,656
1.560
1.347
1.13?1.074
..1J251.414J
2.7431
3.997
5.359
6.649
7.501
1.542
1.45812931.201
1.297
1.682;
2.421
3.951
6.054
8.601
10 335
10.972
1.473
1.419
1.287
1.28?
,1577
2.257-
3.660
5.510
7.973
11.410
13.661
13.698
t.452
- 1.401
1.311
,1,362
1.703;
2.481:
3000
2J88
2.951
4.074
5.012
5.814
2.C"?
1.i3<:
1-Okt
1.3'^1.249
1.?"^
1.543
2.1 e-i
3.154
4.483
6.223
7738
1.858
1.817J
1.6471.50&1.522;
' .t-514;1.800
2.703
4.681
7.329
9.697
11.152
1.723;1.731]
1.637J
1.626|
1.817;
1,9952.556
3.970
6.541
9.868
12.528
13.909
1.862;
1.694
1.643
1.682
1.8601
2.380
206
p
(kPa)
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
50005000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
G
(kg m-2 8-1)
5000
5000
5000
5000
5000
5000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
00
0
0
0
0
0
0
0
0
0
0
5050
50
50
50
Xe
(-)0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20-0.10
-0.05
0.00
0.05
50
4.818
9.135
13.665
17.764
19.451
16115
1.159
0.768
0.631
0.847
1.854
3.263
5.860
10.871
16.158
20.959
22.852
18.914
1.197
0.749
0.642
0.950
2.135
3.761
6.751
12.537
18.628
24.071
26.106
21.673
1.2230.845
0.661
0.534
0.518
0.510
0.413
0.351
0.405
0.435
0.433
0.383
1.2520.877
0.702
0.584
0.552
100
4.816
9.078
13.542
17.635
19.367
15.112
1.163
0.790
0.654
0.859
1.837
3.219
5.795
10.771
16.019
20.819
22.770
18.918
1.202
0.773
0.665
0.959
2.116
3.713
6.675
12.419
18.479
23.932
26.033
21.679
1.2230.853
0.668
0.545
0.530
0.542
0.4590.356
0.421
0.451
0.452
0.407
1.2520.885
0.712
0.595
0.563
150
4.814
9.020
13.423
17.511
19.285
16 109
1.168
0.811
0.676
0.871
1.821
3.176
5.733
10.676
15.884
20.682
22.689
18.923
1.208
0.797
0.687
0.969
2.097
3.666
6.602
12.304
18.334
23.794
25.959
21.686
1.2240.863
0.679
0.562
0.545
0.552
. 0.4790.396
0.445
0.470
0.470
0.431
1.2550.896
0.726
0.605
0.569
200
q (kW m-2)
400 600
Heat Transfer Coefficient (kW
4.812
8.957
13.303
17.376
19.178
18 109
1.168
0.829
0.702
0.892
1.808
3.129
5.657
10.572
15.752
20.545
22.589
18.930
1.210
0.815
0.713
0.988
2.083
3.616
6.516
12.186
18.198
23.658
25.869
21.696
1.2250.867
0.688
0.575
0.562
0.556
0.492
0.432
0.461
0.485
0.486
0.454
1.2560.898
0.730
0.613
0.581
4.810
8.714
12.868
16.927
18.851
16.108
1.193
0.906
0.788
0.949
1.752
2.973
5.433
10.224
15.272
20.041
22.248
18.957
1.235
0.898
0.800
1.038
2.015
3.437
6.237
11.758
17.678
23.145
25.548
21.728
1.2530.933
0.768
0.665
0.653
0.643
0.584
0.534
0.555
0.562
0.571
0.552
1.2860.960
0.793
0.676
0.641
4.809
8.618
12.490
16.535
18.52016 117
1.222
0.977
0.872
1.011
1.703
2.830
5.200
9.878
14.827
19.567
21.905
18.989
1.264
0.974
0.886
1.095
1.953
3.269
5.950
11.328
17.195
22.656
25.222
21.763
1.2830.993
0.847
0.753
0.739
0.727
0.675
0.633
0.644
0.645
0.656
0.650
1.3161.017
0.856
0.742
0.704
800
m-2 K-2)
4.805
8.445
12.136
16.166
18.226
'6 1:3
1.256
1.047
0.952
1.069
1.654
2.696
5.009
9.556
14.393
19.108
21.563
19.026
1.296
1.049
0.968
1.148
1.888
3.102
5.671
10.915
16.719
22.177
24.889
21.805
1.3301.070
0.937
0.852
0.838
0.824
0.773
0.734
0.743
0.751
0.761
0-764*1
1.3591.084
0.929
0.815
0.772
1000
4.656
7.902
11.558
15.803
17.983
16 154
1.296,
LHo"'1.016^
1.113s;..
i.6ia_2.623
5.000
9.447
14.069
18.732
21.294
19.053
1.337
1.118-
LOSS-
L I 88.,.
1.830L,2.987
5.514
10.589
16.300
21.774
24.604
21.821
1.403^1.17lJ1.0521
0.972p:i
0.958;**
°-944S0.892^
0.855;-
0.862
0.868j
^0,878*'
** 0.886
1.420
1.164;';'
1.012."
0.897;;;
0.851
2000
3.917
6.508
9.916
14.049
16.680
13 388
i.§oT'\L425 r ;
' X$$s< 1v34$V
,;f~L42$2.002;;
4.559
7.933
12.117
16.825
19.901
19.193
1.53©-]
1.461-;-:
.. 1-S41-V2.173^
4.658
8.776
14.219
19.728
23.141
21.910
1.757- •
.4,571
7*4 .-55^-"uSil
1.4S5J1.454^t.453%5
1.459^
•14?6....
1.718. <-
-t4|9 ;^" 1,29$"i-!L23f
3000
3.375
5.345
8.211
12.285
15.353
16 586
'* ~1.761
*1.665v-1.558!
i.ssd
^ilool3.865
6.275
10.142
14.864
18.434
19.350
- 1 . 7 M
~'v'?i>.-'9' 1.58b
2.C142
3.730
6.929
12.112
17.650
21.63C
22.03C
- 1.08^.2/148;
-'--sBsd;~J?.14$"
2.128J
"'Modw.2.<M6j
3:2.032)¥§2.Q24i
^2 ;0i4l
. 1.99S• tM%
" 1.701)
1-614
207
p
(kPa)
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
50005000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
G
(kgm-2s-1)
50
50
50
50
50
50
50
100
100
100
100
100
100
100
100
100
100
100
100
200
200
200
200
200
200
200
200
200
200
200
200
500
500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
Xe
(-)0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
50
0.531
0.411
0.313
0.324
0.350
0.405
0.465
1.269
0.899
0.736
0.627
0.588
0.563
0.423
0.291
0.290
0.351
0.467
0.500
1.2960.937
0.814
0.704
0.625
0.560
0.434
0.369
0.390
0.565
0.789
0.998
1.358
1.027
0.892
0.725
0.616
0.532
0.450
0.487
0.915
1.731
2.259
2.192
1.390
1.109
0.947
0.850
100
0.554
0.443
0.317
0.332
0.362
0.416
0.471
1.273
0.909
0.753
0.645
0.590
0.588
0.446
0.308
0.299
0.364
0.475
0.602
1.3030.952
0.860
0.730
0.650
0.562
0.434
0.390
0.413
0.582
0.790
0.982
1.371
1.053
0.937
0.766
0.665
0.589
0.495
0.530
0.935
1.707
2.185
2.145
1.407
1.116
0.985
0.914
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.555
0.451
0.347
0.348
0.376
0.427
0.480
1.277
0.925
0.769
0.645
0.591
0.590
0.457
0.330
0.313
0.376
0.483
0.603
1.3090.967
0.871
0.730
0.650
0.563
0.434
0.391
0.423
0.611
0.793
0.975
1.384
1.085
0.959
0.769
0.667
0.590
0.497
0.535
0.949
1.687
2.136
2.101
1.423
1.144
0.984
0.871
0.556
0.452
0.365
0.366
0.390
0.445
0.489
1.281
0.926
0.774
0.651
0.595
0.592
0.458
0.345
0.340
0.397
0.510
0.605
1.3180.998
0.878
0.731
0.652
0.564
0.440
0.400
0.454
0.701
0.858
0.970
1.446
1.127
0.960
0.770
0.668
0.595
0.543
0.552
1.039
1.686
2.130
2.197
1.476
1.188
0.955
0.816
0.604
0.498^
0.420^
0.420
0.462
0.503
0.544
1.316
0.988
0.826
0.696
0.631
0.593
0.481
0.398:
0.387
0.488
0.568
0.649
1.3511.052
0.907
0.741
0.656
0.587
0.475
0-4401..
0.531
0.835
0.876
0.965
1.490
1.181
0.962
0.783
0.697
0.642
0.611
0.638
1.102
1.685
1.899
1.939
1.533
1.208
0.976
0.845
0.657
0.543'
0.469
0.471
0.527:
0.567
0.602
1.350
1.047
0.879
0.753
0.697
0.634
•0.501
0.421
0-433
0.550
0.623
0.686
1.3821.084
0.941
0.799
0.715
0.646
0.512
.JL448 .0.693
0.910
0.913
0.978
1.509
1.199
1.008
0.844
0.757
0.692
0.643
0.758
1.479
1.680
1.839
1.870
1.569
1.257
1.031
0.896
0.719,'
0.597
0.522
0.531
0.574
0.615
0.654
1.391
1.110
0.943
0.811
0.750
0.678
0:5340.45S
0.480
0.553
0.624
0.688
1.4161.140
0.982
0.833
0.747.
0.671
0.538
.0,484
0.716;
0.920
0.945
0.999
1.516
1.229
1.056
0.891
0.803
0.734
0.701 .
0.842
1.406
1.671
1.835
1.869
1.611
1.296
1.073
0.938
1000
0.793
0.659
0.581
0.5S8
0.641
0.6.85
0.725 •
1.446
1.179
1.011
0.875'.
0.809
0.731
0.572-
0.488
0.623
' 0,6010.676
0.744
1.4501.192
1.037
0.890
0.802
0.720
0.576
0.520
0.717
0.922
0.969
1.045
1.527
1.270
1.108
0.931'
_,_0.8_49:
0.787
0.744
0.879
1.346
1.655"
1.834
1.867
1.628
1.342
1.128
0.990'
2000
1.1500.959
0.861
6.895
0-949
1.008.1.067_
1.721.
1.52$
1-34$
1.188
1.098
0.990
0.754
0.642
0.717
0.817
0.921
1.014
1.6221.452
1-313
1.1701.071
0.966
0.784
0.702
0.828
1.071
1.158
1.230
1.613 .1.471
1.338
. 1.206
1.113
1.040
1.018
1.223
1,263
1-.5.84
1.806
1.865_
1.722;
1.580
•1.408
1.256
3000
1.506;
1.268
1.156
1.208
1.274
1.347:
1417]
1.i
1.J
1.i •1.]
1.;
1 . ; •
O . i ••••
OJ
OJ1.1 :
1.
1.:
1.7fcS
%:,-[•.
1 .!jt-C
1.-45r.
1 Mb1.2=4O.T'-i
O.£;-J
1.J4?
1.22c
I . J i f r
1.1.1 •
1 ; •
1 . -
1.
1 / "
1.
1 - •
1-
1 :
1, -
1.
1.
1_.
1. -
1-
1.
1 . '
208
Xe SO 100 150 200
q (kW m-2)
400 600 800
(kPa) (kg m-2 s-1) Heat Transfer Coefficient (kW m-2 K-2)
5000
5000
5000
5000
5000
5000
5000
5000
1000
1000
1000
1000
1000
1000
1000
1000
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.784
0.771
0.813
1.143
2.634
4.362
5.294
3.917
0.854
0.835
0.880
1.250
2.553
4.142
5.030
3.807
0.814
0.825
0.879
1.249
2.469
3.934
4.780
3.702
0.777
0.800
0.859
1.212
2.272
3.475
4.340
3.653
0.815
0.846
0.888
1.278
1.970
2.768
3.534
3.302
0.856
0.877
1.027
1.907
1.950
2.435
2.854
2.984
0.898
0 922
1 134
1.917
1.953
2.457
2.714
2.980
1000
0.945
0.959
1 199
1 993
1.994
2.461
2.823
2.830
2000
'• 2C:-i
• -is:
2.129
2.170
2.665
2.825
3000
• £ 3 '
? 130
?330
2 700
2 826
2 920
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.377
1.206
1.156
1.016
0.932
1.051
1.453
2.767
5.012
7.450
8 486
5 807
1.395
1.229
1.172
1.055
0.980
1.085
1.452
2.742
4.816
7.109
8 100
5 890
1.412
1.250
1.193
1.058
0.982
1.092
1.450
2.732
4.634
6.779
5 576
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.361
1.145
0.979
0.870
0.953
1.427
2.463
4.617
7.503
10.475
11.389
7.822
1.380
1.166
1.027
0.882
0.935
1.398
2.397
4.493
7.211
10.075
11.056
7.731
1.397
1.184
1.034
0.902
0.936
1.376
2.339
4.385
6.928
9.673
10.720
7.627
1.416
1.245
1.209
1.066
1.044
1.361
2.231
4.223
6.339
8.882
10.264
7.565
1.488
1.305
1.265
1.113
1.090
1.331
2.020
3.854
5.132
7.310
9.103
7.203
1.555
1.342
1.265
1.114
1.092
1.218
1.954
3.711
4.627
6.015
7.393
6.472
1.622
1.400
1.266
1.130
1.095
1.183
1.789
3.420
4.399
5.876
6.917
6.082
1.663
1.452__
1.311|~
1.173}.-
1.132^;
1.180
1.661
3.190
4.423
5.734
6.900
6.302
1.884|;
2.W0.
1.70XJ
1.324
2.542.
4.175
5.353
6.248
6.262
3 300
4 449
5 573
5.764
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.351
1.087
0.870
0.851
1.267
2.242
4.143
. 7.909
11.861
15.562
16.380
11.068
1.369
1.111
0.922
0.872
1.239
2.207
4.073
7.674
11.508
15.174
16.160
11.142
1.386
1.131
0.932
0.887
1.226
2.178
4.019
7.441
11.152
14.773
15.935
11.221
1.404
1.151
0.935
0.895
1.188
2.100
3.946
7.123
10.458
14.037
15.676
11.320
1.476
1.227
1.008
0.936
1.209
2.025
3.663
6.298
9.224
12.388
14.842
11.524
1.543
1.302
1.089
1.014
1.248
2.020
3.599
5.736
8.044
10.745
13.363
11.720
1.611
1.375
1.163
1.079
1.287
1.966
3.210
5.450
7.943
10.565
12.890
11.574
1.654
1.430^
1.228;
1.142*
1.
1.8861
1.729*
3.025
5.091
7.588
10.501
12.786
11.563
2.186)
4.123
6.861
9.514
11.735
10.960
3.600
6.000
8.800
10.536
10.722
5000
5000
5000
4000 -0.20
4000 -0.10
4000 -0.05
1.354
1.042
0.868
1.369
1.069
0.885
1.385
1.094
C9C1
1.400
1.118
0.915
1.469
1.212
0.991
1.533
1.299
1.067
1.598
1.383
1.144
1.637
1.435
1.213
1.849""'
1.715 v
JJ4G
209
p
(kPa)
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
7000
7000
G
(kgm-2s-1)4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
Xe
(-)0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
50
1.008
1.805
3.124
5.526
10.502
15.613
20.057
21.028
14.335
1.375
1.008
0.908
1.218
2.390
4.047
7.059
12.883
19.006
24.437
25.547
17.443
1.419
0.957
0.940
1.410
2.907
4.848
8.329
15.079
22.379
28.851
30.083
20.558
1.447
0.928
0.974
1.589
3.343
5.600
9.595
17.260
25.708
33.145
34.395
23.579
1.570
1.073
100
1.007
1.773
3.092
5.503
10.276
15.289
19.801
20.895
14.361
1.386
1.036
0.921
1.205
2.341
3.985
6.953
12.634
18.706
24.199
25.414
17.430
1.426
0.991
0.954
1.395
2.857
4.792
8.248
14.865
22.065
28.573
29.928
20.547
1.452
0.963
0.987
1.570
3.291
5.531
9.498
17.097
25.454
32.882
34.237
23.573
1.545
1.064
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
1.006
1.748
3.068
5.500
10.056
14.963
19.553
20.765
14.386
1.399
1.064
0.936
1.197
2.297
3.928
6.847
12.380
18.407
23.967
25.283
17.418
1.435
1.023
0.969
1.384
2.814
4.745
8.174
14.656
21.754
28.298
29.773
20.536
1.458
0.998
1.001
1.554
3.245
5.469
9.406
16.939
25.206
32.622
34.080
23.567
1.529
1.061
1.004
1.705
3.060
5.459
9.800
14.604
19.292
20.608
14.421
1.412
1.099
0.951
1.186
2.237
3.860
6.723
12.141
18.141
23.745
25.118
17.408
1.443
1.055
0.984
1.373
2.751
4.669
8.080
14.442
21.461
28.035
29.595
20.529
1.465
1.031
1.016
1.540
3.181
5.381
9.288
16.770
24.973
32.373
33.902
23.568
1.503
1.046
1.043
1.660
3.050
5.395
8.994
13.560
18.375
20.090
14.501
1.471
1.200
1.025
1.201
2.12'-
3.6676 29ri
11.180
16.860
22.909
24.565
17.379
1.488
1.172
1.053
1.371
2.649
4.551
8.075
13.773
20.157
27.014
28.928
20.509
1.498
1.153
1.085
1.527
3.067
5.199
8.964
16.223
24.117
31.412
33.222
23.557
1.487
1.079
1.08S
1.6'. 6
3 048
5 391
8 333
'2.126
17 326
19-154
14=90
1 527
1 287
1.C98
1.232
2 046
3 5015 r;'i8
10.161
15.666
22.156
24.043
17.407
1.531
1.277
1.125
1.396
2.598
4.475
8.700
13.185
18.996
26.079
28.250
20.483
1.534
1.262
1.159
1.546
3.008
5.071
8.666
15.734
23.356
30.486
32.502
23.544
1.466
1.106
' '46
' 522
3C45
5 390
7 951
11.865
16.331
18.827
K 5 2 6
1 58^
1 374
'. '.76
• 276
2 CCO
3 37?
5 <54*
9.465
14.856
21.327
23.491
17.411
1.575
1.377
1.199
1.433
2.583
4.433
8.068
12.840
17.853
25.171
27.569
20.475
1.571
1.364
1.235
1.580
2.984
4.979
8.452
15.268
22.584
29.617
31.785
23.538
1.472
1.157
1000
1 2*0
i 5^1
3 045
5.389
7.14?
10.425
16.219
'3.435
14.526
I 615
1.420
1 245
\.7At2 0^2
3 1V2
5 393
8.740
12.519
20.565
22.872
17.438
1.605
1.439__
1.270:
1.512
2.668
4.843
8.060
12.839
16.108
24.163
26.743
20.537
1.604
1.433
1.313
1.666
3.097
5.050
8.450
15.114
21.970
28.826
31.094
23.531
1.530__
1.250
2000
i 543
1 724
2 411
3 837
5.730
9 204
14 271
15 b271*273
1.797
: 702
1 5C5
1 .<3S4
2 '.582 734
4.309
7.023
10.641
17.478
20.299
17.522
1.764
_ 1 . 7 6 3 j
. 1 -64.11.929
3.207
5.097
7.747
11.109
13.980
20.612
23.655
20.513
1.773;-
1.772:
1.709
2.097
3.631
5.605
7.938
13.817
19.319
25.009
27.625
23.467
_ 1.803
1.700
3000
- $.-•£.
: «v.' 56?
2.151
3 679
7 200
'1 b.'*
'4.2-13
"4 285
' 97?
' <J8O
' 974
2 C " •'•
2:'18i
2 4 i : :
3.056
5.700
9.772
14.234
17.681
17.540
1.919J
2^70,
2.040'
2390
3.736
4.900
6.481
9.223
12.882
17.018
20.503
20.511
1.934)
Z10S!
2.139
2.589
4.154
6.057
9.120
12.389
16.765
21.198
24.031
23.451
2J601
2.158
210
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0 -0.05
0 0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
0.8380.6680.6380.6290.5630.5040.5240.5370.518
0.8340.6670.6420.6410.5830.5150.5290.5460.529
0.8330.6730.6530.6550.6050.5320.5340.5580.540
0.8270.6750.6550.6580.6070.5450.5470.5620.542
0.8820.7510.7340.7230.6690.6210.6240.6350.607
0.9320.8220.8050.7900.7390.6980.7050.7090.699
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
1.6251.1820.9530.8090.7830.739
1.6141.2161.0060.8750.847
50 -0.20 1.761 1.741 1.726 1.693 1.666
50 -0.10 1.185 1.175 1.172 1.153 1.173
50 -0.05 0.907 0.897 0.895 0.885 0.92150 0.00 0.718 0.718 0.727 0.730 0.765
50 0.05 0.683 0.690 0.696 0.699 0.73850 0.10 0.656 0.686 0.686 0.689 0.70350 0.20 0.556 0.596 0.596 0.599 0.60050 0.40 0.445 0.464 0.473 0.473 0.50050 0.60 0.403 0.409 0.417 0.437 0.479^4.0-51250 0.80 0.407 0.412 0.418 0.434 0.491 0.541'
50 1.00 0.471 0.476 0.486 0.544 0.580 0.614 ftfijif
50 1.20 0.527 0.533 0.541 0.577 0.614 0.659 0.716
0.528'"
0.5S2v:
1.648
1.279'-1.079
0.9550.926^
0.863r:
0.022
0.680
1.787 ,,..,1.890
*f.722
-42611
0.783 1.438;
700070007000700070007000700070007000700070007000
100 -0.20
100 -0.10
100 -0.05
100 0.00100100100100100100100100
0.050.100.200.400.600.801.001.20
1.872
1.244
0.946
0.754
0.748
0.746
0,658
0.477
0.361
0.381
0.536
0.665
1.8571.2380.9340.7610.7580.7570.7260.5090.3730.3810.5360.667
1.843
1.234
0.930
0.760
0.755
0.754
0.707
0.511
0.383
0.384
0.541
0.671
1.8151.2160,9170.7590.7500.7490.6270.5120.4150.4200.7200.776
1.8151.2310.9450.7870.7800.7610.6280.5140.4630.4680.7210.778
1.8161.2360.9810.8270.7940.765 _
°-629S0.516JH{5.475|. •0.526r"0.7230.780
1.818
1.313L
1.0840.9440.905'
1.817
1.264
1.027
0.882
0.844
JT781J;
o.7251' ...jyw0.793 ., 0.84? .1,114
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
200 -0.20
200 -0.10
200 -0.05
200 0.00200
200
200
200
200
200
200
200
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.9531.2680.9730.8330.7670.7280.6160.4890.4590.5681.0571 400
1.S451.2670:9940.8550.8060.7540.6290.5190.4670.5691.0571.39G
1.9401.2661.0200.8930.8130.7550.6300.5200.4940.5751.0791.39:
1.9381.2650.9780.8400.7800.7270.6060.5040.5890.7251.3101.390
1.937
1.298
0.996
0.840
0.790
0.732
0.616
0.542
0.622
0.782
1.315
1.276
1.8.'/'1.3241 0530 9230.8560 79"0 5480 5490 5980 8571.3251.195
',.8061.325' 0780.9370.8840 812
0 !i"20 752
0.893
1 3301.153
1.802
1 -359*"
1 127*
0.994
0.939
C857
C 59 =
C 559
C753
0 894
1.331
1.193
1^761,.
'MJ2q"1.373
' 283
: 2 1 /
' 083
0 cb3
C.712
C 64C
1 0C0
1 334
1 4C?
-1.717
! 2H"
C 'J88
CS73
1 i C •'
1.542
7000 500 -0.20 2.068 2.094 2.124 2.361 2.345 2.242 2.094 2.057 1.719 ' ?5C
211
p
(kPa)
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
70007000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
G
(kgm-2s-1)
500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
10001000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
Xe
(-)-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.001.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
1.297
1.022
0.832
0.727
0.684
0.655
0.644
0.940
1.749
2.647
2.483
1.993
1.351
1.105
0.892
0.846
0.885
1.001
1.331
3.068
5.149
6.0924.181
1.953
1.320
1.088
0.979
1.007
1.225
1.554
2.774
5.920
9.007
10.015
6.248
1.955
1.361
1.220
0.943
0.968
1.437
2.345
4.514
8.688
12.476
13.540
8.414
100
1.324
1.080
0.890
0.780
0.723
0.689
0.694
0.981
1.750
2.556
2.417
1.997
1.361
1.149
0.973
0.930
0.963
1.064
1.424
2.971
4.866
5.7614.028
1.944
1.321
1.146
1.012
1.027
1.252
1.602
2.713
5.666
8.540
9.506
6.080
1.944
1.434
1.342
1.001
0.971
1.411
2.314
4.391
8.298
11.953
13.060
8.249
150
1.347
1.114
0.931
0.814
0.744
0.690
0.700
0.990
1.754
2.475
2.356
2.000
1.384
1.202
1.018
0.950
0.964
1.075
1.427
2.864
4.6005.4423.884
1.933
1.330
1.198
1.020
1.022
1.229
1.597
2.688
5.421
8.082
8.997
5.914
1.936
1.433
1.322
0.985
0.970
1.381
2.239
4.288
7.915
11.427
12.566
8.069
200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
1.384
1.115
0.935
0.818
0.756
0.720
0.712
1.021
1.821
2.470
2.355
2.117
1.372
1.155
0.994
0.948
0.951
1.031
1.362
2.593
3.952
4.8053.771
1.93.
1.329
1.177
1.002
1.021
1.189
1.570
2.660
4.678
7.208
7.982
5.706
1.926
1.394
1.222
0.920
0.944
1.281
2.245
3.919
7.060
10.405
11.889
7.924
1.426
1.137
0.987
0.918
0.825
0.764
0.751
1.122
1.823
2.300
2.147
2.087
1.373
1.225
1.157
1.122
1.069
1.049
1.460
2.651
3.442
4.0223.241
1.343
1.208
1.088
1.112
1.242
1.568
2.659
4.428
5.505
6.173
5.158
1.900
1.393
1.234
0.939
0.979
1.264
2.105
3.611
5.528
8.352
10.014
7.204
1.444
1.238
1.138
1.055
0.916
0.820
0.896
1.596
1.853
1.969
1.853
2.009
1.380
1.284
1.261
1.217
1.124
1.162
1.943
2.256
2.633
3.0022.911
1.358
1.222
1.131
1.146
1.243
1.567
2.655
3.446
4.175
4.579
4.541
1.883
1.395
1.244
1.001
1.063
1.305
2.122
3.546
4.519
6.641
7.814
5.842
1.443
1.210
1.078
1.016
0.904
0.819;
0.895
1.494
1.850
1.967
1.850
1.926
1.379
1.283
1.236
1.194
1.139
1.224
1.960
2.103
2.5092.9502.906
_.
1.400
1.258
1.163
1.172
1.263
1.551
2.650
3.349
3.990
4.519
4.468
1.872
1.440
1.285
1.048
1.120
1.333
2.132
3.340
4.379
6.280
7.350
5.205
1000
1.473-.
1.268:
1.170
1.092'
_ 0-.?77;
0.05$
0.928
1.394
1.733
1.960;
1.849
I 339
1 415
1 315
1.266.
1.222
1.155
1 -254.,.
2.135
2.137
2.449
2.9363.152
1.438
1.300
1.204
1.207
1.271
1.550..
2.596
3.332
3.991
4.603
4.823
1.880
1.487
1.337.
1.108:
1.163;
1.484;
2.188
3.280
4.313
5.972
7.116
5.539
2000
. .1.521
1.450
1.386
1.304
1.179
1.071
• 1.2301.264
1.336
' 1.680
1.8.40,
_ 1.721-
1.552
1.488
1.432
1.381
1.326
... 14942.181i
2.235
2.427..
2.7283.655
1.631
1.512
1.41?
1402
1.431
1.5012.217
3.128
3.825
4.468
5.157
1.920
1.724'
1.590
1.422
1.440
.... 1,4.861.715:
2.601;..,
3.716
4.847
5.864
5.513
3000
1XCJ
1.61 C
1.1-•'
1.353
1.?i6
1 . ; » • : • • •
t.5.-. 1
i.r.y.
1.87.4
2,?y.
t.fii.3
1.t-.-_
1.L6*1.62?
1.1:1 i
1,015
1.fc 'J
2.C3
_?,/"':•2.7? 13.23G
1.T?:!
1 .kj'1724
1.632
i.bi>
i.f"-:
•* OiS
? - J :
2 '"69
3 443
4.302
5 583
1.L-.2
1.15"
1.K 'S
1.T5C
1.V29
1.L-J
i.r:c. 2.?0C
3.026
4.00C
5.223
5.4CQ
212
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000 3000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
3000 -0.20
3000 -0.10
3000 -0.05
3000 0.00
3000 0.05
3000 0.10
3000 0.20
3000 0.40
3000 0.60
3000 0.80
3000 1.00
3000 1.20
1.947
1.4601.3071.072
1.215
2.130
4.1298.359
13.76718.454
19.355
11.887
1.937
1.546
1.434
1.1311.200
2,073
4.031
8.09713.280
17.86318.93011.874
1.9311.545
1.414
1.1181.2272.0323.829
7.85712.79217.243
18.47811.862
1.930
1.502
1.3261.0631.1821.8593.7447.236
11.85416.08817.942
11.899
1.9111.5021.3401.075
1.2041.8133.4976.2929.849
13.35416.16611.687
1.9001.5221.342
1.136
1.281
1.851
3.363
5.8558.402
10.80213.21511.358
1.894
1.5291.379
1.172
1.3301.8653.2125.5858.133
10.53512.61410.587
1.9141.579^1.435>~1.235'1-367*2.0563.2005.3997.817
10.34712.20510.285
2.009, >2.092
1.909;.j2.689|;4.3456.9319.547
11.2889.752
3.5005.7708.2259.8449.736
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
1.9431.4561.167
1.2491.8973.5356.731
12.50618.460
23.63824.451
1.9361.4661.211
1.2661.8593.4206.535
12.11517.990
23.243
24.216
1.929
1.474
1.218
1.270
1.831
3.310
6.340
11.714
17.50722.845
23.980
1.921
1.4861.228
1.2751.727
3.0686.038
11.253
17.007
22.463
23.721
1.9021.5091.249
1.280
1.6422.8555.527
10.08415.39920.86622.737
1.891
1.534
1.2801.2851.5962.6735.2248.379
13.122
18.941
21.638
1.886
1.5721.3411.2871.5702.5045.2448.457
12.67016.972
20.304
1.904
1.618
1.397?
1.366J;1.613\;3.137
5.575
7.651
11.909
17.058
19.748
1.995!:1.845'
2.378f
4.383
6.460
10.84615.33117.598
1 J
2.8234.5308.600
12.80015.500
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.9451.4391.174
1.460
2.5174.7488.845
15.61422.43728.66529.532
18.563
1.937
1.4531.175
1.461
2.4544.591
8.60615.25122.04928.342
29.35018.546
1.929
1.467
1.198
1.4672.3924.441
8.373
14.88321.65628.02029.16818.531
1.918
1.489
1.2331.468
,2.2674.0638.035
14.52421.32527.72728.943
18.517
1.8991.5311.2661.470
2.127
3.784
7.360
13.287
19.918
26.526
28.128
18.482
1.8861.5731.3151.472
•2.054
3.5526.520
11.759
18.288
25.285
27.385
18.512
1.880
1.6161.3761.4762.0263.3836.289
11.265
17.192
23.841
26.50418.561
1.894
1.6571.4361.5322.136
3.6596.738
10.61715.64623.16925.59618.561
1.965..1.866;1.761;
1.870:"
3.235
5.097
8.904
14.992
20.114
22.575
18.301
12.091:
2.818
3.327
6.423
13.49317.100
19.600
17.997
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
1.9611.352
1.1571.5933.3015.881
10.212
17.94726.26033.73534.73921.895
1.9521.3781.164
1.571
3.245
5.838
10.121
17.689
25.900
33.41534.55821.865
1.943
1.402
1.169
1.555
3.207
5.812
10.042
17.433
25.542
33.098
34.377
21.837
1.933
1.4291.171
1.5273.123
5.7309.935
17.18225.20932.797
34.164
21.814
1.911
1.5151.214
1.5273.117
5.7279.806
16.30323.61831.618
33.360
21.731
1.898
1.5931.2691.5743.209
6.054
10.022
15.37722.21430.57632.52321.645
1.8931.6671.3301.6423.3696.653
10.032
14.666
20.850
29.56631.683
21.572
1.9141.716
1.417
1.7863.6667.536
11.132
14.66018.346
28.182
30.55421.624
2.011
2 064^
1.720f2.488
4.8989.140
12.100
14.113
18.07423.988
26.17921.445
' 2.11$
3.2556.310
10.80013.80013.81717.153
20.417
23.442
21.292
213
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
70007000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
0
0
0
0
0
0
00
0
0
50
50
50
50
50
50
50
50
50
50
50
50
100
100
100
100
100
100
100
100
100
100
100
100
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.600.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
1.9681.300
1.194
1.807
3.906
6.827
11.648
20.367
30.108
38.764
39.741
25.116
1.775
1.239
0.988
0.799
0.754
0.732
0.655
0.604
0.6000.595
0.590
0.589
2.215
1.495
1.129
0.866
0.806
0.748
0.598
0.482
0.457
0.466
0.520
0.554
2.473
1.632
1.200
0.904
0.843
0.831
0.710
0.516
0.414
0.439
0.558
0.628
1.9591.333
1.200
1.773
3.845
6.779
11.565
20.209
29.829
38.455
39.542
25.088
1.736
1.217
0.969
0.789
0.745
0.731
0.665
0.604
0.6000.598
0.591
0.590
2.191
1.475
1.106
0.852
0.801
0.765
0.635
0.503
0.460
0.467
0.521
0.556
2.456
1.614
1.175
0.886
0.865
0.894
0.780
0.560
0.426
0.430
0.550
0.625
1.9511.364
1.202
1.748
3.807
6.749
11.489
20.061
29.561
38.150
39.342
25.062
1.709
1.206
0.963
0.785
0.752
0.743
0.679
0.620
0.6300.637
0.638
0.640
2.170
1.462
1.096
0.850
0.800
0.766
0.635
0.507
0.465
0.471
0.526
0.562
2.436
1.598
1.163
0.884
0.864
0.880
0.768
0.568
0.441
0.434
0.551
0.629
1.9421.394
1.206
1.708
3.729
6.671
11.388
19.891
29.302
37.859
39.116
25.042
1.668
1.183
0.945
0.775
0.743
0.733
0.671
0.617
0.6200.632
0.633
0.634
2.134
1.424
1.062
0.827
0.783
0.744
0.613
0.504
0.482
0.482
0.553
0.579
2 ^05
1 54=
i 115
u.o61
0.845
0.853
0.739
0.561
0.474
0.453
0.634
0.677
1.9241.499
1.239
1.692
3.712
6.659
11.130
19.414
28.401
36.734
38.234
24.960
1.627
1.194
0.980
0.836
0.810
0.794
0.728
0.682
0.6860.689
0.690
0.693
2.079
1.421
1.077
0.859
0.822
0.769
0.618
0.520
0.511
0.522
0.590
0.624
2.336
1.537
1.109
0.880
0.840
0.829
0.642(
0.522:
0.500;.
0.488
0.650
0.705
1.9171.589
1.296
1.730
3.794
6.941
10.898
19.143
27.672
35.686
37.264
24.883
1.583
1.200
1.010
0.889
0.867
0.848
0.789
0.750
0.7530.762
0.762
0.772
2.006
1.399
1.085
0.888
0.856
0.797
0.637
0.539'
0.541
0.568.
0.628
0-667'.__
2.252
1.512
1.135
0.910
0.875
0.830
0.650.
0.523
.0,502
0.539'
0.654
0.709
1.9161.673
1.363
1.798
3.944
7.536
10.633
19.100
26.947
34.738
36.320
24.799
1.574
1.236
1.069
0.966
0.947
0.929
0.867
0.830
0.8350.846
0.848
0.857
1.961
1.409
1.121
0.946
0.915
0.841
0.669
0.572
0.582
0.611
0.674
0.726
2.189
1.512
1.163
0.957
0.921
0.835
0.655
0:52$
0.525
0.570
0.681
0 7=~
1.9451.729
1.458
1.959
4.292
8.312
10.757
19.328
26.171
33.714
35.348
24.764
1.628
1.325_
1.176r
1.083''
1.067;
1.045. '
0.981
0.945
0.9550.961,
0.962
0.969
1.983
1.463'
1.191
1.028.
0.998-
0.919-
0.729
0.627
0.632
0.871
0.7330.788
2.188
1.546
1.214
1.022''
0.987
0.894
•0.6650.544
0.550 ,:
0.611
0.723
0 8C-i
2.1502.101
1 .807; .
2.731
5.623
9.521
10.810
20.200
24.802
28.932
30.153
24.656
1.874
JJ531.6911.656
1.649
1.618
1.543
1.515
1.5241.527
1.528
1.529 __
2.046
1.702
1.5181.426
1.399
1.272
0.996
0.872
0.009
0.94$
1.017
1.076
2.142
1.6901.458
1.339
1.305
1.152
0.806
-'0.655' 0.714
0402
0.924
1.037
2.4102.35Q
...2-244
3.591
6.026
10.043
10.900
20.210
22.784
25.119
26.915;
24.538
2 X '?•
2.13'-
2.'-v3
2 ' 9"
2: i •
2/>i
2X'-9
2.CJ'.:
2.CC"2.C-J'
2.t'.-9
2.CS •;
2V;9I f Or.
1.6?'
1.K-1
1.754
1.6!/
1.P-S
iM>
1 . •••:
1.7 Jo
1.J12
2.CL--
1.eC:.
1.6. ?
1X4.;
I .OL"
1.392
0.0-3
Q.H- '
O.fi-'s
1.CC-
1. V
1.7S"
214
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
200 -0.20
200 -0.10
200 -0.05
200 0.00
200 0.05
200 0.10
200 0.20
200 0.40
200 0.60
200 0.80
200 1.00
200 1.20
2.6061.6571.2050.9570.8790.8290.7140.5770.5470.6660.9551.032
2.5901.6401.1891.0120.9220.8780.7680.6100.5550.6110.9311.019
2.5691.6251.1851.0100.9200.8650.7420 6050.5530.6080.9231.011
2.5401.5811.1620.9650.9000.8390.7120.6000.6530.7241.1741.141
2.4511.5901.1710.9600.8970.8260.6890.5990.6320.7231.1451.088
2.3181.5961.2341.0380.9780.897
2.363
1.593
1.217
1.0360.9720.8810.7230.613:"F;;!p36;0.662L '/'US?!'0.713 0.8410.957 1.0381.002 1.010
i , \ : ^ N v
2.302
1.277k
1.0931.034
'^0.97%x t-21/C
1,342;
1.17f
1.045
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
500 -0.20
500 -0.10
500 -0.05
500 0.00
500 0.05
500 0.10
500 0.20
500 0.40
500 0.60
500 0.80
500 1.00
500 1.20
2.6751.6231.2110.9560.8610.8630.8520.8251.0871.7972.2S42.201
2.6601.6241.2491.0130.9040.8760.8770.8791.0591.7122.2052.122
2.6431.6301.2801.0560.9360.8870.8780.8661.0301.6342.1072.059
2.6561.6361.2841.0690.9710.9030.8800.8501.0291.5952.1462.089
2.6061.6541.3451.2001.1020.9660.8880.8791.0251.4981.8891.825
2.4971.6801.4621.3891.2641.0690.9800.9521.0971.5521.7271.625
2 4521 5~41 3971.2921 2031.0930.9900.9761.1391 7601.9621.765
2 41/.1 6631.4461.3391 2311 0940 5951 22C
1.225
1.634
1.876
1.835
2 192
1. ,'23
1 586
' 499
' £03
' 263
i '/b
1 22-
1 338
1.793
2 0~3
2 01b1 TVS
: 7io
i .64b
1 b^£
1 3C.9
1 23c
'. 319
• /no
2 074
'-J1H3
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
2.5791.6241.2570.9360.9481.0781.3031.6012.9224.8145.5074.245
2.5501.6161.2941.0251.0201.1251.3331.7202.9164.5595.1624 039
2.5201.6151.3201.0681.0321.1311.3451.6572.7664.3234.8803.895
2.4591.6141.3131.0631.0251.0981.3041.5312.2513.7134.1713.549
2.4101.5611.3901.2921.2281.2301.2851.5111.9623.0633.3122.996
2.3391.5501.4571.4431.3271.3381.4061.6001.9822.7943.1852.940
2.3071.5451.4371.3741.3281.3401.4461.6712.0402.7263.1753.226
2.259
1.587
1.459:
1.343f*Ss»
2.014
2.325
2.663
3.023
3.385
2.0'.&
2.519
2.552
3.020
3.878
2 270
2 51:3
3019
3 510
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
2 5711.5481.18C1.2041.3421.6941.9382.4555.6479.693
11.164
2 6451 5221.2241.2401.3941.6901.9182.4515.4489.182
10.593
26151 4971.2201.1591.3431.6551.8902.4295.199
' 8.67510.026
2 542
1.462
1.164
1.064
1.212
1.578
1.889
2.145
3 850
7 238
8 858
2 4431.3821.1531.0601.2081.5031.7652.1273.5195 6055.559
2.3731.4451.1861.1161.2491.5041.7102.1253.3644.3544.993
2 3C91 4721 2111 1441.2491.5041.7152.3113.5614.3654.994
2 272
i 504
1 2-30
1.194
1.272
1 505
1.720
2.411
3.692
4.398
4.995
2.0831 68"
'• 4-3'J
1 4 : J 6
1 bZi'
1.S35
2.240
3.540
4.354
4.927
" DO?
. BE5
1 8C8
1 7T
1.660
• 54/
3 237
4 IOC
4 800
215
p
(kPa)
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
90009000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
G
(kgm-2s-1)
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
3000
3000
3000
3000
3000
3000
30003000
3000
3000
3000
3000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
Xe
(-)1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.200.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
50
6.942
2.712
1.568
1.314
1.116
1.362
1.864
2.5153.782
9.458
14.336
15.750
9.235
2.705
1.810
1.483
1.225
1.526
2.535
3.9098.187
15.841
21.528
22.605
13.004
2.688
1.982
1.454
1.507
1.918
3.943
7.883
14.372
21.335
27.272
28.017
16.754
2.683
2.062
1.484
1.737
2.300
5.216
10.961
18.466
25.880
32.836
100
.6.743
2.693
1.539
1.325
1.179
1.413
1.845
2.512
3.671
9.068
13.784
15.200
9.044
2.686
1.792
1.486
1.261
1.563
2.465
3.8287.811
15.277
20.904
22.054
12.925
2.669
1.966
1.482
1.527
1.920
3.750
7.590
13.914
20.801
26.825
27.732
16.701
2.660
2.063
1.516
1.753
2.274
4.934
10.540
18.067
25.480
32.485
150 200
q(kW400
m-2)
600 800
Heat Transfer Coefficient (kW m-2 K-2)
6.541
2.669
1.538
1.321
1.131
1.376
1.840
2.485
3.5888.698
13.244
14.635
8.838
2.664
1.790
1.485
1.247
1.560
2.410
3.6307.427
14.731
20.260
21.438
12.849
2.644
1.965
1.530
1.571
1.914
3.524
7.222
13.450
20.254
26.375
27.443
16.651
2.633
2.074
1.568
1.791
2.262
4.607
10.105
17.663
25.074
32.134
6.251
2.644
1.515
1.221
1.028
1.275
1.839
2.480
3.252
7.772
12.437
13.946
8.656
2.649
1.819
1.434
1.169
1.502
2.400
3.6296.283
13.697
19.552
20.967
12.758
2.623
1.964
1.529
1.481
1.714
3.011
6.555
12.646
19.744
25.958
27.148
16.604
2.611
2.075
1.624
1.735
2.049
3.704
9.290
17.248
24.687
31.798
5.517
2.537
1.406
1.179
1.024
1.240
1.719
2.317
3.000
6.461
10.516
11.915
7.925
2.555
1.681
1.392
1.160
1.466
2.2933.4055.457
11.912
17.205
18.643
12.413
2.535
1.910
1.447
1.350
1.578
2.692
5.787
11.357
17.889
24.238
25.924
16.437
2.524
2.042
1.542
1.577
1.916
3.362
8.185
15.785
23.220
30.453
4.789
2.462
1.407
1.214
1.074
1.286
1.685
2.211
2.950
5.472
8.234
9.358
6.639
2/-S8
1.582
1.392
1.213
1.519
2.212
3.1445.400
9.569
13.594
14.864
11.839
2.463
1.855
1.416
1.349
1.540
2.380
5.210
9.591
14.956
22.437
24.471
16.278
2.454
2.009
1.540
1.564
1.915
3.163
6.502
13.986
21.666
29.178
4.882
2.376
1.480
1.265
1.126
1.299
1.648
2.126
2.900
5.224
7.569
8.610
6.083
2.4'.',
1.671
1.458
1.262
1.530
2.132
3.0345.390
9.201
12.428
13.864
11.247
2.393
1.856
1.488
1.364
1.541
2.390
5.345
10.048
14.331
20.652
23.035
16.140
2.389
1.983
1.594
1.600
1.935
3.117
6.225
13.524
20.362
27.803
1000
5.275
2.346
1.527
1.324
1.189|"1.3301.627
2.078
2.850
5.157
7.227
8.296
6.436
2.3=4
1.715
1.513
1.328.
1.550
2.133
3.1235.744
8.977
11.837
13.220
11.039
2.375
1.884
1.548
1.459
1.600
2.887
5.972
8.780
13.324
19.160
21.886
16.028
2.371
1.998
1.640
1.682
2.049
3.592
7.784
12.756
19.145
26.558
2000
5.270
2.179;
1.767
1.631
1.5101 531
1 5s3?
1.649
2.680
4.420
6.257
7.154
6.504
2.239
1.929
_!,.7S31.6':4
...1,7-;31.855
2.4814.697
8.035
10.730
12.171
10.613
2.269
2.027
1.819
1.749
1.766
2.390
4.419
7.403
12.177
16.673
19.038
15.384
2.262'
2.097
1.899.
1.997;
2.517.
3.306
5.221
10.613
18.106
22.493
3000
5.265
2.1.8
2.C;r-1.? e1.81 -1 &.E
- c2<:1 7i?2 M43 8005 2C06*00
•> ; / ;
2 "4^
• 9SD
' S21.}
' litC
."• JDO
4.C9-
6 382
8 3^1
1CCS41051C
2 / :.•>'
1X3b1.S201.b2u1.81''
.. 2tyx3.20C
5//C0
9.4CC
13.60C
16.C00
15.30C
2.1455
2.162
2.170
231Q
. 2.$!2j2.951
4.300
8.800
15.000
19.600
216
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000 3000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
90009000
5000 1.005000 1.20
33.61820.389
33.40320.339
33.19020.290
32.91220.245
31.95920.083
30.98920.001
29.93019.921
28.95019.801
24.90219.189
21.30019.000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
2.705
1.933
1.3521.6393.6067.155
12.51121.05930.30538.76739.64123.990
2.6831.9401.3521.6223.5257.070
12.36820.79829.94738.418
39.42923.934
2.6591.9491.3551.612
3.457
6.99912.23520.54529.59838.07339.21623.881
2.637
1.948
1.352
1.5963.329
6.823
12.116
20.317
29.28937.74938.96523.833
2.5551.9691.379
1.6013.2776.680
11.76919.482
27.99136.46838.018
23.656
2.4921.9871.422
1.6553.381
6.86011.46818.72326.89435.28537.02723.485
2.436
2.010
1.472
1.7353.5497.355
11.051
18.04025.851
34.14736.03923.326
2.4342.0431.5541.8723.8318.279
11.99418.03124.49532.97634.93023.239
2.4162.295^.1.9952.5544.6779.1359.136
15.97322.60627.758
29.74222.635
2.692
2.344
2.951
4.467
7.734
7.735
14.92820.24826.50028.840
22.084
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
9000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
2.7091.906
1.3761.8654.4058.319
14.183
23.92934.844
44.596
45.35227.527
2.6881.9051.3691.8194.3228.250
14.06423.72234.51344.241
45.125
27.469
2.6671.900
1.3671.788
4.2608.201
13.94523.52834.194
43.887
44.895
27.413
2.6471.8951.3481.746
4.1708.130
13.86323.30033.90843.56244.63927.363
2.5781.9561.3791.7454.1058.009
13.444
22.663
32.832
42.26143.61321 Ml
2.528
2.000
1.422
1.789
4.1588.179
13.06722.20031.91741.028
42.488
27.004
2.4862.0451.484
1.8644.2758.634
12.56821.88231.05539.85141.39326.833
2.493
2.088
1.577
2.019
4.573
9.30812.45221.96730.36938.72240.27626.716
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
0 -0.200 -0.100 -0.050 0.000 0.050 0.100 0.200 0.400 0.600 0.800 1.000 1.20
1.8471.3071.0530.8620.8080.7760.6910.6400.6460.6540.6560 611
1.8061.2811.0310.8480.7990.7700.6910.6420.6460.6560.6560 550
1.7771.2681.0230.8470.8010.7740.6990.6500.6540.6640.6720 569
1.7351.2410.9990.8290.7880.7640.6940.6470.6440.6630.6670 5G4
1.6901.2491.0300.8830.8500.8260.7580.7150.7190.7290.7370.745
1.6441.2511.0560.9300.9030.8790.8150.7750.7790.7880.7960 812
1.6311.2841.1121.0040.9810.9580.8940.8540.8590.8690.8800 898 2 048
10000
10000
10000
10000
10000
10000
10000
10000
10000
50 -0.20
50 -0.10
50 -0.05
50 0.00
50 0.05
50 0.10
50 0.20
50 0.40
50 0.60
2.4261.6551.2510.9470.8620.7660.5580.4520.480
2.4051.6331.2220.9220.8450.7580.5590.4580.483
2.3871.6191.2090.9150.8450.7590.5590.4610.492
2.3561.5831.1760.8890.8240.7430.5540.4600.490
2.2981.5691.1750.9170.8630.7790.5790.484I0.511
2.2211.5351.1730.9380.8920.808
2.1701.5341.2020.9930.9510.856
2.1851.5841.274^
1.081b
..0.515. .;,<- 0.5530.543*
217
p
(kPa)
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
1000010000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
G
(kgm-2s-1)
50
50
50
100
100
100
100
100
100
100
100
100
100
100
100
200
200
200
200
200200
200
200
200
200
200
200
500
500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
Xe
(-)0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.050.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
50
0.517
0.564
0.573
2.767
1.849
1.356
0.993
0.894
0.778
0.530
0.404
0.449
0.513
0.600
0.616
2.926
1.911
1.385
1.002
0.8770.764
0.547
0.488
0.623
0.797
0.935
0.917
2.953
1.871
1.413
0.959
0.817
0.796
0.819
0.892
1.175
1.797
2.139
1.931
2.962
1.866
1.397
1.001
1.040
1.213
1.458
1.712
100
0.513
0.558
0.572
2.755
1.829
1.325
0.966
0.878
0.798
0.583
0.442
0.467
0.513
0.590
0.610
2.911
1.890
1.371
1.001
0.8850.781
0.586
0.518
0.653
0.782
0.911
0.891
2.930
1.868
1.452
1.041
0.876
0.803
0.827
0.937
1.152
1.740
2.068
1.859
2.928
1.855
1.437
1.093
1.103
1.246
1.484
1.839
150 200
q(kW
400
m-2)
600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.517
0.561
0.576
2.738
1.813
1.309
0.958
0.878
0.799
0.584
0.450
0.472
0.515
0.591
0.610
2.889
1.870
1.351
1.019
0.9010.792
0.614
0.552
0.685
0.757
0.887
0.872
2.906
1.859
1.440
1.063
0.884
0.814
0.850
0.937
1.132
1.674
1.995
1.800
2.890
1.846
1.431
1.092
1.077
1.232
1.482
1.754
0.513
0.549
0.576
2.713
1.773
1.270
0.931
0.856
0.773
0.549
0.437
0.479
0.517
0.575
0.602
2.817
1.808
1.316
0.987
0.8870.788
0.614
0.555
0.715
0.943
1.047
0.844
2.818
1.868
1.461
1.076
0.902
0.826
0.864
0.945
1.245
1.926
2.089
1.661
2.791
1.854
1.450
1.085
1.027
1.156
1.469
1.626
0.548
0.593
0.61
2.638
1.743
1.262
0.948
0.884
0.784
0.552
0.443
0.489.
0.534
0.606
0.629
2.749
1.786
1.292
1.000
0.9110.793
0.600
0.550
0.627
0.766
0.940
0.882
2.834
1.868
1.461
1.205
1.038
0.882
0.827
0.874
1.153
1.497
1.736
1.609
2.722
1.787
1.477
1.269
1.174
1.202
1.407
1.622
0.584;
0.638
2.549
1.694
1.247
0.961
0.905
0.801
0.556;
0.448
0.557'
0.640.
0.670,
2.676
1.761
1.326
1.060
0.9780.825
0.624
0.566
0.624.
0.753
0.839
0.819
2.756
1.870
1.565
1.382
1.207
0.998
0.928
0.923
1.150
1.454
1.586
1.543
2.651
1.775
1.560
1.431
1.330
1.331
1.442
1.664
0.625
0.681
2.478
1.677
1.262
1.004
0.952
0.832
0.575
0.463
0.5090.57S
0.666
0.709 .
2.625
1.744
1.326
1.065
0.9820.875
0.664
0.586
0.654
0.794
0.947
0.926
2.741
1.869
1.494
1.298
1.144
0.979
0.916
0.962
1.268
1.600
1.880
1.846
2.615
1.781
1.513
1.363
1.283
1.332
1.467
1.709
1000
0.687
0.745'
2.468
1.705
1.315
1.076
1.025
0.897
0.614
0.494
0.548
.0.624
0.716
0.765
2.606
1.763
1.369
1.125
1.047.0.905;
0.666
0.565
0.630
0.743
0.884
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2.712
1.880
1.531:
1.354
1.220
1.071
0.966'
1.030
1.268
1.607,
1.886
1.850
2.578
1.784
1.533
1.389
1.306
1.333:
1.482
1.846
2000
0.954
1.020
2.356
1.807i
1.5611.424
1.378
1.183
0.780
0.622
0.706
0.805
0.914
_0.987.
2.487
1.839
- 1.568
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1.3231.135
0.807
0.696
0.8130.966
1.127
1,221,
2.537
1.880
1.648-
1.504
1.3961.244
1.080
1.144
1.333
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2.128:
2.399
1.824
1.642
1.533
1.474
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1.235
1.310
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1,874;
1.781-
1.75Q
1.704:
1.453;
0.854;
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218
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
10000
10000
10000
10000
1000 0.60 2.763 2.800 2.683 2.241 2.240 2.240 2.261 2.376 2.142*'1000 0.80 4.374 4.149 3.945 3.470 2.800 2.801 2.813 2.955 2.701 2.9241000 1.00 5.046 4.730 4.490 3.599 3.120 3.201 3.270 3.270 3.269 3.6721000 1.20 4.180 4.026 3.875 3.451 3.059 3.195 3.390 3.391 3.390 4.576
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
3.0721.7171.2661.3151.5131.8882.1412.3535.5709.629
11.2527.275
3.0451.6801.2651.3141.5121.8852.1272.5085.3999.151
10.7477.113
3.0131.6431.2391.2321.4581.8472.0892.5255.1768.680
10.2526.956
2.9621.5911.1901.0951.3011.7452.0852.5263.8197.2469.1686.753
2.8211.5041.1681.0941.2731.6121.9592.6563.7995.6887.0005.970
2.7311.5631.2371.1491.3181.6131.9592.8213.6914.7975.8375.723
2.6551.5841 2571 1741 3181 5931.8842.7983.6904.6895.6805.685
2.6031.6121.3051 2241 3291 5921.8572.6823.6874.6885.6785.888
2.3301.762"! 50:/
'.•18'
1.bS1
1 694
1.944
3.235
4.543
5.6^'
6.126
' S48• 73;
1 67/
1 516" soC' c.'O
2 390
3 9995 171
5 530
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
3.1191.7081.2351.2601.5502.0592.7443.8459.863
15.10016.5919.637
3.1001.6361.2341.2561.5452.0272.7363.7429.454
14.52716C7C9.534
3.0731.5801.2131.2031.5112.0222.6153.6939.055
13.96115.5469.438
3.0561.5501.1461.0761.3962.0202.6773.4588.092
13.16414 9239 322
2.9351.4491.1101.0611.3441.8632.4803.2936.645
11.20413 0849 008
2.8361.4671.1551.1081.3811.7862.3603.4785.7529.099
11.0768.667
2.7271.5421.2171.1591.3871.7332.2413.6045.7308.2259 9308 383
2.6741.5871.284,1.2211.4111.7042.0273.4335.7298.2239.9288 385
2.391
2.535$;5.1477.3789 1008 161
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4.1756.6008 3008 083
100001000010000100001000010000100001000010000100001000010000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
3.1101.9591.3581.3021.702
2.804
4,225
8.65216.833
22.82923.806
13 755
3.C9i
1.8981.3811.3221.7352.7174,1228.253
16.288
22.288
23.402
13 679
3.0671.8421.3651.3061.734
2.685
3.960
7.83515.77821.75422.97513612
3.0541.7641.3091.2241.6812.6803.9586.379
14.73921.19722.739'3.500
2.9471.6541.2491.1841.6032.4753.6726.350
13.224
19.334
21.125
13.280
2.8561.6261.280
1.2451.6452.3493.3586.325
11.430
17.09018.862
'3.054
2.757
1.713
1.3461.2831.6472.2353.2656.300
10.89315.333
17.10512.818
2.7 i 51.7551.413
1.352'1.661="2.189-'2.9856.242
11.010
15.082
16.52512.557
2.4891.964;
1.766-
2.25,2.
1.8104.663
10.15413.90015.100'2.5C0
2.63d4.5007.300
10.60012.000
'.2 000
10000100001000010000100001000010000
4000 -0.20
4000 -0.10
4000 -0.05
4000 0.00
4000 0.05
4000 0.10
4000 0.20
3.0912.2391.5571.600Z0414.3508.685
3.0692.2131.5811.6192.0474.1248.357
3.0412.1991.6111.6652.0483 8667.932
3.023 2.917 2.828 2.735 2.695 2.4781
2.190 2.0901.610 1.4871.577 1.4311.837 1.7183.225 2.941
2.0091.4841.4301.6902.659
2.0101.5521.4441.6922.660
2.0251.6121.5441.7663.162
2.122
1.881
: 9752 582
2.1
?5C?7.145 6.302 5.876 6.042 6.298 4.077 3 457
219
p
(kPa)
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
1000010000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
10000
11000
11000
11000
11000
11000
11000
G
(kg m-2 s-1)
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
6000
6000
60006000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
0
0
0
0
Xe
(-)0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.050.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
50
15.444
22.769
29.057
29.793
17.798
3.086
2.385
1.618
1.820
2.417
5.709
12.080
19.917
27.653
34.951
35.706
21.694
3.113
2.2601.4431.644
3.809
7.917
13.813
22.769
32.465
41.375
42.197
25.498
3.121
2.198
1.466
1.888
4.699
9.197
15.650
25.939
37.394
47.614
48.269
29.262
1.919
1.376
1.118
0.925
0.863
0.824
100
14.965
22.244
28.628
29.523
17.725
3.060
2.380
1.654
1.842
2.398
5.396
11.613
19.513
27.267
34.604
35.489
21.616
3.088
2.255
1.4421.631
3.711
7.789
13.629
22.500
32.103
41.008
41.966
25.425
3.097
2.196
1.455
1.841
4.597
9.092
15.493
25.685
37.020
47.232
48.030
29.185
1.881
1.350
1.094
0.907
0.851
0.816
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
14.479
21.717
28.201
29.251
17.656
3.030
2.378
1.735
1.880
2.389
5.022
11.122
19.110
26.879
34.261
35.273
21.539
3.060
2.251
1.4411.624
3.621
7.672
13.454
22.241
31.750
40.644
41.733
25.354
3.071
2.195
1.449
1.811
4.513
9.005
15.333
25.443
36.657
46.852
47.789
29.111
1.853
1.336
1.085
0.905
0.852
0.819
13.597
21.207
27.809
28.978
17.585
3.010
2.354
1.730
1.830
2.160
3.954
10.201
18.689
26.502
33.926
34.985
21.465
3.038
2.243
1.4391.615
3.488
7.448
13.298
22.010
31.441
40.303
41.459
25.290
3.048
2.193
1.431
1.772
4.416
8.912
15.218
25.170
36.335
46.504
47.521
29.044
1.816
1.308
1.058
0.885
0.8370.807
12.186
19.384
26.242
27.841
17.354
2.905
2.276
1.635
1.664
2.031
3.631
8.860
17.211
25.127
32.613
34.031
21.197
2.933
2.222
1.4671.621
3.342
7.095
12.627
21.051
30.176
38.945
40.435
25.044
2.958
2.210
1.458
1.765
4.240
8.599
14.626
24.317
35.066
45.093
46.449
28.789
1.772
1.313
1.085
0.933
0.894
0 8G7
10.683
17.111
24.737
26.716
17.141
2.816
2.224
1.628
1.642
2.030
3.413
6.589
15.471
23.894
31.422
33.020
20.975
2.846
2.203
1.5051.665
3.343
6.870
11.930
20.202
29.049
37.654
39.346
24.822
2.884
2.225
1.500
1.797
4.182
8.373
14.106
23.594
33.934
43.740
45.293
28.560
1.734
1.315
1.107
0.973
0.9420S17
10.533
16.383
23.400
25.408
16.977
2.728
2.190
1.676
1.678
2.068
3.370
6.089
14.765
22.635
30.223
32.031
20.756
2.760
2.195
1.5521.730
3.392
6.721
11.372
19.286
27.954
36.380
38.261
24.607
2.814
2.247
1.556
1.855
4.176
8.179
13.552
22.802
32.865
42.407
44.132
28.338
1.728
1.349
1.161
1.044
1.018
0.9W
1000
9.401
15.373
22.038
24.487
16.829
2.688
2.186
1.719
1.753
2.160
3.616
7.859
13.655
21.205
29.020
31.100
20.588
2.725
2.219
1.6241.836
3.575
6.786
11.507
18.897
26.970
35.196
37.193
24.418
2.790
2.284
1.639
1.971
4.337
8.207
13.155
22.351
31.996
41.164
42.993
28.137
1.777
1.432
1.263
1.159-
1.13/
1111
2000
7.566
13.878
'8 530
20 529
'.6 00'
2.465:
2.229:
1.956
2.040;
2.556
3.540
5.635
11.144
17.784
23.68326.237
19.758
2.541.
2.325
1.979,.2.375
4.434
7.872
9.235
15.824
22.676
29.313
31.754
23.490
2.663;
2.456.
2.050.
2.565
5.209
9.365
11.537
20.127
27.369
34.922
37.162
27.170
2.012
1.833
- 1.7S9
1.720
1.713• -JK4
3000
5.700
9.400
14.000
15.976
15.600
2.240
2.232
2.207J
2.324:
2.754
3.715
5.888
9.200
13.957
18.299
21.283
18.909
23m2.372;
2.372;2.979
4.467
7.079
10.000
13.612
18.4171
23.456
26.198
22.576
-.2.556.
'. 2:55a
2,51$3.248
5.248
8.710
12.000
17.884
22.881
28.740
31.184
26.221
2.197:
2.197
2.214
2JZ41'
2.251
' 2.217J
220
Xe
(kPa) (kg m-2 s-1) (-)
50 100 150 200
q (kW m-2)
400 600 800 1000 2000
Heat Transfer Coefficient (kW m-2 K-2)
3000
11000
11000
11000
11000
11000
11000
0 0.200 0.400 0.600 0.800 1.000 1.20
0.737 0.735 0.7420.672 0.671 0.6800.649 0.647 0.6540.660 0.658 0.6650.687 0.685 0.694
0.735 0.7970.675 0.7450.621 0.7250.639 0.7280.687 0.760
0.8520.8010.7860.7970.825
0.9270.8790.8700.8830.910
1.040
0.989
1.016- ' 1.5
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
50 -0.20
50 -0.10
50 -0.05
50 0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
50
50
50
50
50
50
50
2.6401.8161.3781.0350.9240.7870.5160.4310.5410.5950.6140.584
2.6321.7991.3491.0070.9030.7730.5100.4300.5400.5920.6050.579
2.6251.7881.3350.9960.8990.7730.5120.4340.5460.5990.6090.582
2.6081.7601.2990.9620.8720.7540.5090.4370.5750.6200.6220.587
2.5821.7501.297
0.982
0.9080.7950.5460.461 K
0.5760.6220.6320.624
2.5321.7171.2840.9950.9340.8270.5861
0.578!0.6310.659:
0.664
2.682
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
100 -0.20
100 -0.10
100 -0.05
100 0.00
100 0.05
100 0.10
100 0.20
100 0.40
100 0.60
100 0.80
100 1.00
100 1.20
3.0752.0721.5221.0950.9560.7670.4020.3310.5570.6540.6470.574
3.0802.0571.4911.0630.9340.7560.4020.3410.5710.6570.6480.565
3.0782.0461.4721.0480.9280.7540.4050.3470.5880.6780.6490.564
3.0742.0191.4351.0110.8980.7360.4060.3590.6850.7750.6700.586
3.0411.9901.4131.0150.9220.7680.4380.3670.6910.7790.6750.606
2.985
1.942
1.386
1.016
0.938
0.793
0,39?0.6990.7830.679
2.9331.9161.3891.0490.9820.839_
0.712"'-0.790-*0.683
2.9321.9421.4401.121,1.058*
2.9302 .03 | |1.669'1.467
2.860
0.771
0.623, ....0,658
110001100011000110001100011000110001100011000110001100011000
200 -0.20
200 -0.10
200 -0.05
200 0.00
200 0.05
200 0.10
200 0.20
200 0.40
200 0.60
200 0.80
200 1.00
200 1.20
3.3052.1941.5901.1200.9520.7460.3920.4320.8981.0560.8900.700
3.3082.1771.5601.0910.9320.7380.3990.4481.0361.1550.8900.686
3.3012.1611.5391.0780.9290.7400.4080.4601.0791.1670.9090.686
3.2912.1291.5041.0480.9040.7290.3590.5121.2581.2340.9570.690
3.2362.071
1.461
1.039
0.918
0.750
0.43110.5650.8570.9410.825
0.692
3.1912.0361.4461.0520.9460.786
0.582
0.784
0.936 0.878 -0.a?#l|f^O|§*.0.820 0.819o.75o o.8ie; ^ . a i e s a a
3.1372.027
1.48551.135
1.045
0.716T
11000
11000
11000
11000
11000
500 -0.20 3.453 3.439 3.419 3.351 3.293 3.247 3.235 3.218 3.122 3.015500 -0.10 2.262 2.238 2.215 2.157 2.112 2.073 2-059 2.070 2.500 -0.05 1.615 1.609 1.585 1.608 1.535 1.562 1.537 1 .569^*^500 0.00 1.118 1.115 1.109 1.086 1.170 1.224 1.186 1.235 " ^ j j500 0.05 0 929 0.927 0 912 C 888 0 S82 1068 1.054 1.105 ~i.
221
p
(kPa)
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
1100011000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
G
(kgm-2s-1)
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
15001500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
3000
3000
3000
3000
Xe
(-)0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
50
0.854
0.767
0.914
1.427
1.693
1.501
1.341
3.481
2.267
1.590
1.153
1.162
1.410
1.880
1.921
2.496
3.398
3.770
3.853
3.5222.223
1.539
1.247
1.506
2.035
2.805
3.378
4.478
7.268
9.787
7.717
3.540
2.207
1.485
1.253
1.702
2.556
3.337
5.700
9.572
14.869
16.703
10.341
3.533
2.334
1.517
1.356
100
0.833
0.754
0.932
1.505
1.722
1.489
1.316
3.462
2.238
1.585
1.150
1.160
1.370
1.792
1.920
2.458
3.302
3.636
3.749
3.5112.192
1.517
1.264
1.521
2.035
2.815
3.421
4.333
6.926
9.365
7.568
3.530
2.170
1.443
1.281
1.683
2.424
3.218
5.514
9.173
14.303
16.183
10.297
3.522
2.302
1.492
1.350
150 200
q(kW400
m-2)
600 800
Heat Transfer Coefficient (kW m-2 K-2)
0.818
0.782
0.950
1.489
1.691
1.488
1.303
3.436
2.212
1.569
1.147
1.121
1.336
1.762
1.877
2.429
3.252
3.562
3.662
3.4902.168
1.490
1.229
1.482
1.995
2.810
3.420
4.206
6.618
8.962
7.421
3.512
2.141
1.392
1.256
1.647
2.312
3.093
5.348
8.798
13.748
15.666
10.274
3.504
2.272
1.461
1.345
0.802
0.820
1.144
1.541
1.779
1.516
1.265
3.383
2.162
1.568
1.141
1.119
1.332
1.992
1.994
2.496
3.240
3.167
3.050
3.4792.056
1.389
1.144
1.358
1.981
2.800
3.419
3.910
5.598
7.793
7.427
3.512
2.029
1.266
1.133
1.509
2.186
3.086
5.257
7.661
12.127
14.647
10.248
3.504
2.212
1.375
1.290
0.824
0.821
1.234
1.286
1.386
1.481
1.415
3.268
2.075
1.534
1.140
1.118
1.329
1.970
1.972
2.313
2.842
3.278
3.408
3.3831.987
1.361
1.137
1.320
1.852
2.786
3.154
3.827
5.280
6.415
6.753
3.42'
1.925
1.234
1.118
1.435
1.926
2.896
4.521
6.511
10.035
12.232
10.095
3.419
2.094
1.325
1.243
0.913
0.911
1.162
1.164
1.288
1.437
1.471
3.212
2.042
1.530
1.135
1.115
1.325
1.851
1.857
2.221
2.828
3.312
3.414
3.3002.012
1.414
1.157
1.321
1.856
2.787
3.154
3.973
5.410
6.466
6.473
3 335
1.917
1.327
1.158
1.466
1.909
2.712
4.166
6.393
9.274
10.987
10.151
3.339
2.041
1.427
1.309
0.974
0.934
1.265
1.286
1.504
1.701
1.730
3.193
2.039
1.524
1.130
1.110
1.324
1.828
1.870
2.261
2.867
3.494
3.620
3.2151.996
1.439
1.189
1.319
1.743
2.420
2.902
3.877
5.147
6.023
6.208
3 239
1.955
1.410
1.221
1.454
1.679
2.295
3.859
6.252
9.130
11.179
10.616
3.249
2.059
1.501
1.374
1000
1.001
0.886
1.209:'
1.210'
1.449
1.571
1.671
3.156
2.044
1.555
1.262,
1.223
1.335,.
1.829
1-8711
2.262
3.096
3.495
3.621
3.1522.006
1.480"
1.241
1.350
1-691..2.313
2.681
3.748
5.200
6.385
6.461
3 !69
1.975
1.462
1.283'
1.495!
1.584..
1.921
3.602
6.588
9.826
11.166
10.181
3.186
2.079
1.561
1.442
2000
1.209
1.013
1.210
- 1.271
1,542
1.866,
2.m_
2.969
2.070
1.714
1.484
1.415
1.405
1.490
... .1,5201.925;
2.723
3.496
4.073
2.8272.044;
1.688
1.4991.511
1-618.
1.897
1.898
3.147
4.775
6.300
6.485
2 305
2.067
1,725
1.580
1.684
1.368
2.378
5.745
8.489
10.300
9.800
2.857
2.1^5
1.854
1.800
3000
1.346
1.202
1.212
1.515
1.8512.265
. 2-141
2.775
2.C3:
1-«L-2
1.6-.-:
1.5"'
1/-3vl
i.*n1.18-
1.-S-2
2.729
3.730
4.649
2/-: 32.0-L1.8: b
1X-:J3
1.1 IE
1 .& z1.-5;
2754
4.252
5.806
6.682
2/4.2.0'-.:i.b-:;1.fj?2
1 1 - . ' .
i bSb
2 30J
-1243
6 432
9 20C
9 800
2 = K
2 24.i
" .<..?,
1.C.C::
222
p
(kPa)
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
11000
G
(kgm-2s-1)3000
3000
3000
3000
3000
3000
3000
3000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
Xe
(-)0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
50
2.185
3.911
6.432
10.719
18.099
24.185
25.173
14.779
3.522
2.474
1.583
1.559
2.757
5.695
9.734
16.778
24.295
30.916
31.670
19.138
3.523
2.568
1.594
1.651
3.321
7.273
13.066
21.270
29.450
37.053
37.828
23.335
3.536
2.562
1.511
1.650
4.138
8.795
15.206
24.647
34.769
44.061
44.833
27 AW
3.545
2.523
1.537
100
2.083
3.733
6.264
10.370
17.630
23.635
24.765
14.702
3.511
2.455
1.572
1.556
2.668
5.542
9.619
16.325
23.801
30.498
31.402
19.037
3.508
2.555
1.594
1.666
3.201
7.086
12.803
20.884
29.078
36.728
37.627
23.222
3.518
2.549
1.506
1.635
4.043
8.647
14.982
24.333
34.370
43.664
44.581
27.317
3.526
2.522
1.526
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
2.038
3.558
5.968
10.044
17.191
23.096
24.357
14.632
3.492
2.438
1.568
1.554
2.570
5.390
9.542
15.871
23.311
30.090
31.137
18.941
3.488
2.544
1.597
1.700
3.062
6.899
12.552
20.494
28.710
36.407
37.426
23.111
3.498
2.537
1.505
1.626
3.957
8.506
14.763
24.028
33.977
43.269
44.328
27.225
3.505
2.520
1.522
1.901
3.461
5.941
8.777
16.256
22.474
24.030
14.533
3.489
2.418
1.564
1.553
2.348
. 5.076
9.473
15.035
22.685
29.702
30.863
18.843
3.480
2.540
1.612
1.710
2.802
6.464
12.257
20.099
28.422
36.078
37.168
22.996
3.487
2.517
1.504
1.622
3.874
8.324
14.493
23.739
33,615
42.903
44.029
27.142
3.489
2.508
1.520
1.781
2.973
5.363
8.775
15.612
20.291
22.513
14.338
3.402
2.345
1.548
1.497
2.155
4.610
9.170
13.953
21.285
28.259
29.827
18.514
3.391
2.475
1.614
1.715
2.574
5.876
11.371
18.667
27.206
34.914
36.238
22.584
3.398
2.470
1.529
1.636
3.658
7.827
13.664
22.581
32.157
41.405
42.930
26.816
3.409
2.492
1.519
1.809
2.751
4.665
8.014
14.200
18.615
20.991
14.302
3.321
2.288
1.562
1.502
2.158
.. 4.860
9.458
12.819
19.650
26.884
28.772
18.222
3.310
2.420
1.635
1.724
2.520
5.450
10.774
17.316
25.915
33.765
35.318
22.156
3.316
2.431
1.570
1.677
3.521
7.385
12.855
21.502
30.852
39.983
41.759
26.530
3.3359 477
1.814
2.545
3.946
7.463
14.150
18.420
19.979
14.131
3.230
2.248
1.594
1.531
2.159
4.575
8.319
12.505
19.630
25.785
27.615
17.969
3.221
2.370
1.663
1.733
2.546
5.242
10.131
16.399
24.878
32.515
34.249
21.804
3.229
2.400
1.617
1.727
3.418
6.992
12.156
20.457
29.548
38.605
40.616
26.237
3.260? 4RR
1000
1.867
2.236
3.004
6.971
14.100
18.400
20.018
13.536
3.168
2.253
1.657
1.621
2.258
3.901
6.380
10.507
19.600
25.412
26.970
17.674
3.157
2.369.
1.722
1.751
2.620
5.177
9.254
14.821
23.752
31.296
33.213
21.653
3.163
2.412
1.685
1.803
3.419
6.812
11.724
19.608
28.347
37.279
39.496
25.941
3.205
2000
1.790*
1.780**
1.47%
4.211
12.854
16.000
16.969
12.703
2.842
2.277'
1.954J*
1.933"'
2.322(
2.623[;
3.110
7.970
17.076
21.000
22.389
16.599
2.8231*
3000
"'"1.862•<x\1.726i
aSyoo-4.500
9.600
13.800
15.000
13.000
•2J506
' 2.450
153400
;2.-3i2
Jf. 2.455
3.800
6.800
11.695
17.500
18.800
16.800
' 2.484'
2.368s J2.343-
2.01V2-070^
2.707
4.239
6.389
11.476
18.683
25.097
27.691
20.478
2.825
2.453«
2.032.
2.192^
3.424
5.794
9.216
15.354
22.712
30.758
33.825
24.580
2.921p2.594^
2.116'.
' ?i81!
2.813
3.240
4.800
8.700
13.535
19.042
22.187
19.237
12.381:
3.452
4.689
6.600
11.075
17.154
24.276
27.986
23.249
Z6-3J
J-"'2.518
223
p
(kPa)
11000
11000
11000
11000
11000
11000
11000
11000
11000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
G
(kgm-2s-1)
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
0
0
0
0
0
0
0
0
0
0
50
50
50
50
50
50
50
50
50
50
50
50
100
100
100
100
100
100
100
100
100
100
100
100
200
200
Xe
(-)0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
50
1.872
4.967
10.122
17.322
28.216
40.110
50.735
51.298
31.459
2.124
1.548
1.271
1.063
0.989
0.934
0.826
0.725
0.664
0.688
0.741
0.760
3.156
2.188
1.665
1.241
1.081
0.891
0.544
0.479
0.694
0.759
0.725
0.683
3.796
2.575
1.894
1.340
1.128
0.857
0.374
0.375
0.830
0.922
0.797
0.660
4.143
2.782
100
1.837
4.853
9.972
17.100
27.893
39.680
50.314
51.039
31.362
2.082
1.519
1.242
1.040
0.971
0.922
0.824
0.723
0.612
0.639
0.735
0.759
3.148
2.167
1.629
1.204
1.053
0.871
0.533
0.479
0.755
0.810
0.730
0.673
3.799
2.555
1.854
1.297
1.096
0.833
0.365
0.382
1.066
1.130
0.798
0.664
4.137
2.754
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
1.814
4.756
9.833
16.880
27.578
39.257
49.896
50.777
31.267
2.050
1.501
1.228
1.032
0.969
0.920
0.823
0.731
0.621
0.647
0.737
0.760
3.138
2.152
1.607
1.184
1.043
0.857
0.532
0.481
0.756
0.810
0.740
0.672
3.791
2.535
1.823
1.270
1.082
0.829
0.362
0.388
1.111
1.188
0.863
0.680
4.120
2.726
1.793
4.665
9.655
16.612
27.241
38.859
49.519
50.482
31.180
2.013
1.470
1.197
1.007
0.947
0.905
0.817
0.731
0.628
0.666
0.740
0.763
3.118
2.118
1.563
1.140
1.006
0.842
0.531
0.472
0.675
0.725
0.720
0.671
3.780
2.501
1.775
1.218
1.040
0.802
0.358
0.380
1.018
1.046
0.825
0.693
4.101
2.683
1.782
4.401
9.141
15.744
26.089
37.336
47.945
49.353
30.845
1.951
1.460
1.209
1.040
0.993
0.956
0.873
0.796
0.718
0.751
0.810
0.838
3.062
2.079
1.532
1.135
1.025
0.876
0.570
0.498
0.678
0.728
0.720
0.690
3.699
2.426
1.710
1.190
1.045
0.834
QAM
0.392
0.871
0.915
0.775
0.675
3.976
2.554
1.809
4.223
8.668
14.843
24.993
35.952
46.446
48.138
30.552
1.901
1.450
1.216
1.066
1.028
0.996
0.921
0.848
0.807
0.825
0.875
0.905
2.973
2.012
1.487
1.121
1.031
0.897
0.613.
0,53.30.680'
0.730
0.725
0.711
3.585
2.325
1.637
1.157
1.048
0.8480.458
0.418
0.715!
0.796
0.729
0.665^
3.863
2.460
1.854
4.079
8.230
14.061
23.901
34.586
45.018
46.962
30.250
1.880
1.471
1.258
1.125
1.094
1.064
0.990
0.923
0.893
0.911
0.954
0.982
2.897
1.973
1.480
1.148
1.073
0.9470.667
0.572
0.683
0.735
0.750
0-751. _
3.470
2.246
1.600
1.165
1.065
0.889
0.511
0.439
.... 0.6720.751.0.727
0J>91 _
3.737
2.368
1000
1.931
4.051
8.009
13.606
23.098
33.416
43.674
45.824
29.919
1.916
1.545
1.353
1.234
1.206
1.176-
1.098
1.029!
1.002
1.017
1.056!
1.078
2.896
2.006
1.539
1.230!
1.160
1.029
0.729
0.630
0.736
0.792
0.810
_JL-8±3_._
3.426
2.241
1.631'
1.228 .
1.137;'
0.957
0.555
0.477
0.7030.788
0.774
. - O J i S „
3.677
2.350
2000
2.338
3.946
6.824
10.841
18.434
27.486
36.982
40.040
28.445
2.082
1.901
1.811
1.758
1.750
'1.721
1.621
1.565
1.557
1.S84
1.578
1.581
2.837
2.119!
1.794'
1.610
1.571
1.421
1.028
0.875
0.945
1.001
1.049
...J.-Q79
3.139
2.154
1.746
1.522
. 1.467
1.279
0.776
Q.614
0.7$8
0.869
0.931
..P-951
3.315
2.211
3000
2.775
3.896
5.554
7.970
13.899
21.710
30.332
34.061
27.028
2.:
2.: •
2.. .2.: '•2.. .2:. •
2 . •
2.-
2:
2 . •
2.
2.
2.
2.1
1 . . •
1 . •••
1 . •
1.
1 . . '-.
1.1
1.
1..
1.294
.-JL33I
2.788
2.170
1.814
1.775,
1.767!
1.573
1.024!
GJ«9
0.812
0.928j
1.085J
_..U6?i
2.881
2.140;
224
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
200 -0.05
200 0.00
200
200
200
200
200
200
200
200
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
2.011
1.385
1.134
0.843
0.315
0.506
1.689
1.736
1.031
0.688
1.965
1.338
1.096
0.823
0.316
0.587
2.242
2.159
1.220
0.672
1.926
1.300
1.081
0.820
0.320
0.641
2.224
2.124
1.214
0.681
1.8751.2521.039
0.790
0.321 |
0.743
1.873
1.6701.0640.835
1.767
1.192
1.019
0.800
0.6691.4451.3260.9500.789
1.701
1.169
1.023
0.819_
Q.433'0-641 -
1.169
1.226
0.947
0.845
1.651
1.165
1.044
0855
OSOQ
0.966
1.080
0.946^
0.858p
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
500 -0.20
500 -0.10
500 -0.05
500 0.00
500
500
500
500
500
500
500
500
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
4.383
2.931
2.077
1.398
1.140
0.991
0.708
1.158
1.792
1.864
1.307
0.929
4.351
2.889
2.036
1.360
1.111
0.963
0.710
1.227
2.055
2.053
1.378
0.972
4.310
2.845
1.988
1.326
1.082
0.940
0.717
1.258
2.057
2.055
1.378
1.041
2.884
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
4.407
2.954
2.041
1.412
1.403
1.670
2.344
2.553
2.755
3.367
3.397
3.533
4.374
2.909
2.001
1.381
1.370
1.598
2.277
2.473
2.739
3.388
3.437
3.542
4.3302.8651.9571.3511.3251.5562.2722.3552.7003.3993.5223.566
4.281
2.795
1.923
1.301
1.231
1.746
2.350
2.355
2.725
3.400
3.585
3.508
4.080
2.634
1.808
1.272
1.210
1.730
1.985
1.990
2.382
3.255
3.982
3.988
3.0054.1664.874
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
1500
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
4.411
2.952
1,975
1.452
1.816
2.689
3.686
4.323
4.873
6.259
8.876
8.906
4.387
2.908
1.936
1.431
1.769
2.564
3.495
4.184
4.813
6.195
8.778
8.905
4.352
2.866
1.895
1.399
1.720
2.475
3.404
4.079
4.773
6.180
8.714
8.919
13000 2000 -0.20 4.415 4.391 4.358 4.346 4.187 4.036 3.866 3.734 3.059k
225
p
(kPa)
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
1300013000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
G
(kg m-2 s-1)
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
3000
3000
3000
3000
3000
3000
3000
3000
3000
3000
30003000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
Xe
(-)-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.001.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
2.957
1.914
1.490
2.180
3.615
4.870
6.739
9.087
14.402
17.265
12.430
4.409
3.024
1.876
1.609
2.946
5.596
8.575
12.391
19.481
26.193
27.83117.616
4.400
3.107
1.881
1.754
3.644
7.473
12.177
19.260
27.447
34.409
35.459
22.716
4.398
3.166
1.871
1.879
4.354
9.175
15.653
24.625
33.531
41.581
42.357
27.654
100
2.907
1.854
1.464
2.098
3.404
4.630
6.517
8.783
13.930
16.807
12.380
4.383
2.978
1.832
1.574
2.810
5.333
8.259
11.981
18.987
25.268
27.39117.585
4.376
3.073
1.855
1.730
3.528
7.311
12.004
18.844
26.846
33.989
35.206
22.607
4.371
3.140
1.851
1.858
4.224
9.025
15.411
24.186
33.130
41.268
42.173
27.488
150 200
q (kW m-2)
400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
2.859
1.800
1.438
2.035
3.219
4.406
6.317
8.519
13.488
16.352
12.327
4.350
2.932
1.794
1.558
2.726
5.070
7.920
11.603
18.532
24.287
26.96417.548
4.342
3.040
1.834
1.721
3.418
7.154
11.870
18.464
26.236
33.593
34.963
22.495
4.336
3.115
1.834
1.852
4.085
8.879
15.177
23.744
32.738
40.958
41.988
27.324
2.755
1.719
1.367
1.932
2.874
4.219
6.305
8.096
11.463
15.289
12.556
4.335
2.864
1.732
1.519
2.597
4.869
7.648
10.570
16.964
22.652
26.46717.428
4.328
3.000
1.810
1.707
3.267
6.902
11.775
17.695
25.115
33.099
34.642
22.357
4.317
3.086
1.822
1.850
3.909
8.659
14.962
23.297
32.453
40.727
41.839
27.215
2.584
1.655
1.331
1.776
2.552
3.734
5.563
7.174
9.447
13.245
12.648
4.180
2.684
1.671
1.480
2.392
4.277
6.860
10.568
15.737
17.187
23.87817.427
4.175
2.868
1.769
1.666
3.055
6.315
12.004
17.368
23.939
31.377
33.750
21.931
4.166
2.975
1.795
1.820
3.634
8.052
14.005
21.601
31.250
39.759
40.948
26.567
2.471
1.666
1.339
1.699
2.159
2.887
4.801
7.870
11.010
13.541
12.805
4.033
2.550
1.711
1.508
2.272
3.743
5.646
9.957
15.976
18.786
22.68117.115
4.032
2.754
1.757
1.663
2.888
6.310
11.959
16.123
23.751
30.299
32.327
21.606
4.027
2.878
1.792
1.815
3.477
7.545
13.948
20.890
29.324
38.237
40.100
26.005
2.394
1.669
1.363
1.659
1.832
2.295
4.239
7.869
12.172
14.219
13.765
3.869
2.465
1.720
1.542
2.214
3.358
4.733
9.086
16.424
22.286
23.65817.299
3.873
2.652
1.756
1.660
2.850
6.285
10.563
15.312
23.748
30.250
32.273
21.055
3.875
2.785
1.790
1.810
3.388
7.150
13.422
19.746
29.411
37.137
38.775
25.226
1000
2.378
1.658
1.414 .
1.881
2.268
2.078
3.862
8.641
14.272
15.901
13.459
3.740
2.474
1.722
1.595
2.608
3.350
3.797
8.276
17.899
25.601
24.77816.467
3.764
2.619
1.750
1,620_
2.845
5.356
8.049
13.224
23.740
30.180
32.119
20.256
3.773
2.761
1.785'
1.800
3.350
6.709
11.438
17.529
29.027
35.895
37.727
24.960
2000
2.147
1.765
... .1-8731.982
2.154!
1.422; ,
2.072
7.450
13.647
15.200
12.300
3.092
2.269
1.880
1.890;
2.610
2.987s
1.748
4.582
16.108
23.164
23.20015.500
3.183
2.448"
. 1.740
.....1.-5802.794,,.
3.453
3.890
10.274
23.515
28.065
29.800
18.117
3.228
_ 2.622
1.775
1.793
3.082
5.008
7.520
13.801
23.016
28.833
31.303
22.945
3000
1.885,
1.842
1.698
1.69$
1.73S
1.862
2.800
6.660
11.419
13.600
12.400
2.396:
2.007
1.73a1.738
1.8201-9.S5
2.754
6.000
13.000
18.000
19.10013.800
2.555'
2.2211
1.735-
1.738
2.18S
3.236
5.495
9.600
16.000
19.900
23.000
18.400
2.04$
2.18a1.77d
1.905J
2.45$
3.631
5.700
10.000
15.566
22.035
25.105
20.8301
226
Xe 50 100 150 200
q (kW m-2)
400 600 800 1000 2000
(kPa) (kgm-2s-1) Heat Transfer Coefficient (kW m-2 K-2)
3000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
6000 -0.20
6000 -0.10
6000 -0.05
6000 0.00
6000 0.05
6000 0.10
6000 0.20
6000 0.40
6000 0.60
6000 0.80
6000 1.00
6000 1.20
4.402
3.204
1.824
1.933
5.093
10.767
18.235
28.579
39.447
49.435
50.424
32 676
4.3703.178
1.807
1.908
4.97910.593
17.97128.217
39.007
48.99750.12432 513
4.334
3.151
1.793
1.887
4.87110.421
17.71027.86338.574
48.56049.82232 362
4.308
3.113
...1.785
1.880
4.787
10.213
17.394
27.537
38.170
48.133
49.452
32 129
4.1593.008
1.779
1.870
4.471
9.547
16.379
26.181
36.523
46.45248.16231.634
4.019
2.913
1.772
1.869
4.225
8.915
15.362
24.847
35.080
44.932
46.792
31 C90
3.870
2.828
1.768
1.853
4.000
8.315
14.458
23.562
33.530
43.299
45.5?5
30 616
3.7572.811^
1.76ii
1.846
3.851
7.922
13.64922.349
32.124
41.77644 22R30 C87
3.170H2.683
1.8411"
3.134j>*
5.452
10.143
16.725
24.911
34.257
37 799
27 515
2.089
...1..751J
4.0006.39410.89817.94526.77231 16225 173
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
13000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
4.408
3.182
1.846
2.1625.984
12.310
20.840
32.817
45.512
56.90657.71237.488
4.371
3.1671.828
2.1225.854
12.122
20.555
32.42145.017
56.427
57.400
37.339
4.334
3.152
1.814
2.091
5.73311.939
20.26932.031
44.53055.95357.08937.191
4.300
3.121
1.8072.0805.637
11.715
19.913
31.619
44.05555.48056.70737.037
4.1543.0461.803
2.075
5.27410.995
18.777
30.183
42.248
53.60455.39236.496
4.017
2.973
1.800
2.058
4.988
10.292
17.514
28.65040.710
52.025
53.98235.961
3.8772.9081.792
2.0494.7239.623
16.408
27.24538.89650.42152.73435.506
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
0 -0.20
0 -0.10
0 -0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
2.536
1.949
1.646
1.412
1.315
1.209
1.015
0.860
0.808
0.845
0.891
0.864
2.481
1.909
1.606
1.378
1.287
1.190
1.010
0.861
0.753
0.791
0.8880.869
2.433
1.878
1.579
1.357
1.272
1.182
1.012
0.869
0.760
0.795
0.877
0.879
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
50 -0.20
50 -0.10
50 -0.05
50 0.00
50 0.05
50 0.10
50 0.20
50 0.40
50 0.60
50 0.80
50 1.00
50 1.20
4.184
3.013
2.370
1.814
1.554
1.265
0.793
0.668
0.913
1.006
1.019
0.982
4.150
2.978
2.321
1.761
1.511
1.234
0.773
0.659
0.970
1.051
.0.999
0.962
4.109
2.944
2.280
1.723
1.482
1.216
0.765
0.655
0.963
1.042
1.003
0.946
4.050
2.888
2.215
1.657
.1.424"
1.175
0.751
0.639
0.934
0.998
0.986
0.945
3.887
2.778
2.118
1.586
1.382
1.162
0.762
0.643
0.880
0.948
0.953
0.927
2.943
;i-i .j is;: 1.290
227
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
100
100
100
100
100
100
100
100
100
100
100
100
200
200
200
200
200
200
200
200
200200
200
200
500
500
500
500
500
500
500
500
500
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
5.261
3.687
2.809
2.052
1.692
1.304
0.687
0.621
1.113
1.234
1.185
1.117
5.910
4.078
3.043
2.169
1.753
1.387
0.819
0.839
2.055
2.091
1.471
1.209
6.468
4.403
3.210
2.253
1.867
1.666
1.336
1.440
2.090
2.108
1.681
1.534
6.511
4.460
3.185
2.276
2.261
2.475
2.391
3.256
3.527
4.230
4.194
5.216
5.223
3.645
2.750
1.988
1.641
1.269
0.662
0.615
1.351
1.439
1.166
1.089
5.847
4.019
2.971
2.096
1.697
1.349
0.739
0.904
2.597
2.523
1.597
1.204
6.366
4.319
3.123
2.174
1.802
1.611
1.217
1.453
2.304
2.313
1.807
1.634
6.403
4.374
3.101
2.196
2.169
2.359
2.253
3.132
3.501
4.338
4.459
5.358
5.170
3.598
2.695
1.936
1.604
1.246
0.650
0.608
1.384
1.486
1.215
1.065
5.771
3.953
2.903
2.036
1.652
1.313
0.714
0.939
2.590
2.504
1.694
1.222
6.258
4.233
3.046
2.108
1.750
1.555
1.144
1.434
2.268
2.348
1.921
1.754
6.291
4.286
3.025
2.129
2.100
2.260
2.115
3.006
3.457
4.434
4.763
5.522
5.100
3.530
2.616
1.857
1.535
1.200
0.635
0.585
1.281
1.347
1.218
1.113
5.688
3.874
2.814
1.948
1.577
1.251
0.706
0.907
2.142
2.061
1.650
1.428
6.171
4.147
2.950
2.023
1.669
1.426
0.927
1.488
1.965
2.136
1.967
2.028
6 POO
4.196
2.938
2.050
1.999
1.932
2.027
2.949
3.503
4.399
4.895
5.577
4.852
3.350
2.457
1.740
1.463
1.165
0.632
0.556
1.087
1.188
1.129
1.058
5.331
3.602
2.579
1.769
1.452
1.168
0.657
0.740
1.698
1.743
1.477
1.347
5.744
3.824
2.699
1.830
1.521
1.290
0.662
1.061
1.498
1.971
2.275
2.408
5 7~3
3.868
2.695
1.865
1.796
1.621
1.632
2.262
3.135
4.914
6.539
6.853
4.560
3.138
2.286
1.617
1.375
1.123
0.647:
0-550....
0.886
0.994
0.979
0.92-4
5.03'
3.387
2.413
1.658
1.380
1.119
0.653
0.702,.
1.4501.609
1.428
1.322
5.357
3.542
2.487
1.689
1.409
1.179
0.612
1.013
1.636
2.164
2.566
2.635
5 392
3.587
2.500
1.738
1.646
1.491
1.362
1.770
3.035
5.109
6.716
6.769
4.2942.960
2.160
1.546
1.336
1.112
0-872
_ 0,557
0.831, .
0.944
0.957
0S27
4 720
3.175
2.265
1.573
1.330
1.097
0.815
0,611
1.1151.283
1.267
1.131
5.009
3.308
2.343
1.622
1.371
1.155_
0.944 .
1.171
1.620
2.113
2.247
2.550
5.015
3.326
2.345
1.662
1.544
1.789
1.818
1.854
3.527
5.633
7.030
7.117
4.1882.916
2.156
1.573
1.379;
1.156-
0.701
0.574 •
...0.33$0.948:
0.969:
0 94*
t- 531
3.108
2 .249^
1.595'-;
1.367':-"
1.134 .
0.675
...0-845
1.1661.371
1.355'
1-257*....
4.804
3.196
2.303
1.635
1.396
1.204
0.78,3
1.09Q:
1.478 ..
1.832
1.932
2.446
4.778
3.189
2.293
1.669
1.553:;'
1.518'
1.702
1-845',;....
3.452
5.655
6.754
6.631
3.5322.598;
_2.051:
1.648
' 1.543
'1.342
0.842
0.653
0.815
0.938
1-013
1.01$
3.793
2.697
2.114
1.670
1.511
1.294
0.855
0,781
1.1831.32$
' 1.358
1,380
3.616f
2.540
2.003
1.041
1.471
1.281
0-923
1.012
1.578
2.019;2 331
2 505
2 607
2.620.
2.037
1.707
1.560
1,444
1.415
J.-&60
3.204
4.921
5.527
5.401
2.7552.2001.868;
1.659
1.646
1.487
1.00i'
0-745
0.76$,0.898
1.041;
. 1-08JL
_ 2.8982.M-1.S/21.7 iC1.6/21.4 iJ
1.0:40.03 i1.0?31 / -V1.?'.'1.4 V
2.0432.031.-191.CS1-
1.553
1.-'5C
1. : ~
1 .'x 5
. . ! - • - * '
2.791
- "}J?
2,'b..
1.-S/3
1.--5
1.bdD
1.J54
1. J 2 '1:
1.600,3.162
4.960
5.336
4.933
228
P G Xe
(kPa) (kgm-2s-1) (-)
q (kW m-2)
50 100 150 200 400 600 800 1000
Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
150015001500150015001500150015001500150015001500
200020002000200020002000200020002000200020002000
300030003000300030003000300030003000300030003000
40004000400040004000400040004000400040004000
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
-0.20-0.10-0.050.000.050.100.200.400.600.801.001.20
-0.20-0.10-0.050.000.050.100.200.400.600.801.00
6.4574.5053.0952.3022.9834.3115.8806.3826.4447.435
10.54612.020
6.4444.5583.0242.3833.8266.5458.5779.385
11.62217.04420.48317.814
6.4364.6072.9362.5755.1369.812
14.58019.19724.68631.87534.20025812
6.4214.6442.8582.7316.209
12.28219,10927.35335.41742.47544.100
6.3574.4213.0242.2242.8604.1045.6716.1986.3907.497
10.54311.921
6.3454.4752.9662.3113.6796.2388.1929.112
11.38816.63420.33617.909
6.3384.5272.8802.5084.9839.469..
14.07818.61024.05830.65633.75025 866
6.3264.5732.7962.6586.059
12.04318.75626.65434.64442.00443.869
6.2504.3352.9572.1642.7613.9185.4656.0086.3527.607
10.56811.827
6.2414.3882.9122.2533.5505.935
- 7.8378.878
11.21016.25320.25418.040
6.2364.4432.8292.4494.8319.122
13.61818.05923.47129.32933.29725.885
6.2264.4982.7392.5935.920
11.80918.43825.95633.84041.55343.640
6.1584.2542.8932.0912.5973.9885.5315.9796.4147.660
10.20411.421
6.1474.3022.8582.2033.4185.4387.5538.821
10.69813.74819.60218.057
6.1414.3502.7812.4014.7058.656
12.75816.43321.61627.20232.72026.089
6.1354.4112.6802.5375.807
11.54617.83724.75232.78441.01143.383
5.7473.9292.6801.9352.3273.4324.6675.0116.2448.455
11.00711.364
5.7483.9752.6772.0593.0084.7426.6588.383
10.55812.50017.73017.587
5.7524.0402.6292.2754.2367.652
11.75615.64119.24518.89929.38726 283
5.7584,1292.5262.4155.396
10.76517.15022.36330.45538.51642.337
5.3863.6382.5101.8302.1252.6493.4834.1496.1719.542
12.20611.761
5.3943.6832.5321.9682.7113.8595.1847.931
11.51414.86719.93519.359
5.4093.7562.5162.2003.8396.745
10.20814.90520.82822.27529.39526 509
5.4353.881..2.4302.3465.025
10.54517.05920.88528.58237.30141.228
5.0243.3732.3581.7521.9862.4683.1203.6766.090
10.16112.37611.358
5.0423.4062.3931.8992.5303.1714.3227.332
11.64916.11618.45017.755
5.0703.4892.4122.1473.5635.8789.167
14.21621.24125.32428.40825.613
5.1183.6512.3542.3074.724
10.25316.17720.31828.94537.28739.962
4.8063.2552.3201.7691.9992.6333.1083.6876.521
10.86112.92611.382
4.8173.3212.3121.9142.8633.6013.9326.768
11.96016.94019.55818.095
4.8613.3922.3852.1783.6665.6167.954
13.24221.85127.74230.62825.994
4.9493.6082.3372.3384.8969.888
14.52319.47429.30737.87439.517
3.6882.616*2-1 04i1.829-1
2.217-2.2101.9715.5519.9949.5547.801
3.672J.;2.65iJ»2.127-
1.9991"'
2.708> x
3.256lx
2.415
3.841
9.928
15.970
16.159
12.288
3.7811V,.2 ' 7 7 9 t2.3152.318
3.312L4.0124.5439.044
18.96226.12726.62019.270
4.0803.145!2.477",2.528(J*4.0426.4839.313
15.37225.60432.99333.614
2.§97
j||.S5';
1.L&41^2;
-< SC5
k C6D
2.63C
4.898
8 128
9419
5 62C
^2.138"'Ti'CH
i:|jp73JIJ138J*2344
2.8184.1698.574
14.17814.30011.00C
"2Jssa2.455
"?2i|3$^•2.630
3.2364.6007.000
16.54823.20024.60017.600
3J47
2.683
2.72753.1644.0006.000
10.27818.00026.00027.066
229
(kPa) (kgm-2s-1)
q (kW m-2)
Xe 50 100 150 200 400 600 800 1000
(-) Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
17000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
6000
6000
6000
6000
6000
6000
60006000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
7000
0
0
0
0
0
0
0
0
0
0
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.200.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
33.153
6.411
4.656
2.814
2.946
7.366
14.605
23.318
33.650
43.217
51.672
53.017
40.402
6.410
4.674
2.781
3.185
8.587
17.159
27.44439.236
50.741
61.462
63.452
48.131
6.415
4.623
2.801
3.537
9.902
19.491
31.456
45.296
58.564
70.658
72.570
55.134
2.690
2.254
1.989
1.766
1.644
1.481
1.192
1.025
1.010
0.997
33.064
6.318
4.598
2.753
2.866
7.211
14.437
23.013
33.097
42.701
51.317
52.815
40.138
6.316
4.628
2.727
3.107
8.411
16.947
27.11638.782
50.225
60.940
63.032
47.808
6.323
4.598
2.753
3.449
9.720
19.265
31.094
44.792
57.985
70.092
72.151
54.860
2.638
2.212
1.941
1.718
1.602
1.452
1.183
1.028
1.010
0.996
32.958
6.222
4.539
2.696
2.794
7.068
14.276
22.708
32.540
42.187
50.958
52.608
39.879
6.222
4.531
2.678
3.038
8.244
16.740
26.79038.334
49.717
60.423
62.613
47.488
6.234
4.570
2.709
3.371
9.544
19.042
30.731
44.298
57.419
69.534
71.732
54.583
2.592
2.177
1.904
1.684
1.574
1.434
1.181
1.035
0.956
0.942
32.933
6.132
4.460
2.641
2.737
6.949
14.099
22.494
32.115
41.821
50.697
52.412
39.579
6.128
4.511
2.637
2.995
8.106
16.478
26.38937.895
49.243
59.906
62.129
47.177
6.139
4.516
2.680
3.335
9.408
18.767
30.264
43.779
56.863
68.966
71.258
54.352
2.550
2.139
1.858
1.635
1.526
1.395
1.161
1.024
0.938
0.926
32.337
5.778
4.228
2.499
2.608
6.510
13.422
21.114
29.902
39.904
49.572
51.443
38.601
5.789
4.313
2.525
2.862
7.619
15.635
25.08636.238
47.395
57.897
60.376
45.964
5.817
4.373
2.593
3.190
8.888
17.847
28.819
41.996
54.837
66.705
69.489
53.252
2.459
2.081
1.804
1.589
1.494
1.388
1.190
1.075
1.056
1.050
31.744
5.478
4.023
2.417
2.546
6.176
12.706
20.334
27.610
37.228
47.520
49.880
37.405
5.496
4.130
2.470
2.810
7.250
14.803
23.73034.628
45.734
56.122
58.707
44.862
5.533
4.222
2.563
3.142
8.488
16.924
27.258
40.363
53.177
64.888
67.834
52.239
2.394
2.034
1.754
1.540
1.452
1.367
1.204
1.099
1.081
1.084
30.854
5.188
3.833
2.360
2.512
5.873
11.951
19.765
26.100
36.138
45.971
49.017
36.665
5.217
3.961
2.435
2.782
6.921
14.00322.40032.998
43.889
54.214
56.872
43.672
5.265
4.079
2.550
3.118
8.124
16.036
25.694
38.641
51.242
63.007
65.909
51.069
2.361
2.021
1.746
1.534
1.454
1.386
1.246
1.157
1.145
1.153
29.930
5.047
3.778
2.410
2.548
5.649
11.359
18.518
25.225
35.532
45.254
47.642
35.770
5.064
3.902
2.481
2.817
6.700
13.358
21.32031.413
41.985
52.210
55.188
42.610
5.085
4.008
2.590
3.144
7.854
15.327
24.470
36.848
49.264
60.990
64.250
49.922
2.387
2.067
1.804
1.598
1.525
1.465
1.332
1.247
1.235
1.241'
24.361
4.302
3.441
2.637
2.746
4.647
7.980
12.222
19.405
28.801
36.821
39.840
31.212
4.266
3.544
2.718
3.041
5.665
10.156
15.51023.709
33.433
43.206
46.923
37.394
4.178
3.592
2.826
3.357
6.582
11.691
18.130
28.494
40.447
52.075
55.934
44.199
2.507'
2.276
2.071
1.890'
1.854;
1.838
1.742
1.671
1.664
1.662
21.700
3.496
3.023
2.842
2.954
3.642
4.411
7.200
13.100
21.476:
28.995]
32.526
26.920
3.418
3.113
2.946
3.291
4.647
6.818
9.62116.106
24.943
34.112
38.389
32.105
3.228
3.104
3.071
3.622
5.342
7.917
13.000
20.307
31.734
42.972
47.280
38.357
2.605
2.454
2.292-
2.125;
2.123:
2.090;
2.109;2.054
2.054
2.053:
230
(kPa) (kgm-2s-1)
q (kW m-2)
Xe 50 100 150 200 400 600 800 1000
J-) Heat Transfer Coefficient (kW m-2 K-2)
2000 3000
20000
20000
1.00
1.201.016 1.015 0.963 0.948 1.075 1.110 1.177 1.261 |2?§i;666v'
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
50 -0.20
50 -0.10
50 -0.05
50 0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
50
50
50
50
50
50
50
50
4.7503.6463.0322.4402.0861.6651.0080.7500.9681.1781.3021.141
4.7413.6282.9862.3742.0231.6190.9790.7290.9391.1391.2591.109
4.722
3.607
2.945
2.319
1.974
1.585
0.961
0.720
1.000
1.194
1.300
1.082
4.6813.5612.8762.2351.8921.5270.9410.7090.9801.1651.2671.029
4.6163.5082.7772.1031.7791.4640.9270.7010.8661.0201.1110.991
4.4983.4092.6461.9521.6431.3860.9270.723:0.8530.9791.0620.968
4.4183.3522.5681.8581.5641.3500.945
0.835s
0.9451.0230.962
4.477
3.416
2.612
1.876
1-590J
1.391U
0.983V
4.6983.6602.7581.892
1.189
4.7573.7742.7951.034
f.187i1.047l!0.990* 1.129 1.280
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
100 -0.20
100 -0.10
100 -0.05
100 0.00100
100
100
100
100
100
100
100
0.050.100.200.400.600.801.001.20
6.1624.5423.6682.8432.3511.8020.9820.7101.1061.4731.6381.274
6.1624.5263.6152.7622.2751.7450.9420.6741.0631.4171.5751.228
6.1434.4993.5602.6902.2121.7010.9120.6551.2701.6481.7681.186
6.1004.4473.4792.5892.1121.6320.8870.6421.2471.6101.7241.096
6.0014.3593.3282.3941.9451.5310.8420.5900.9101.1901.3051.026
5.8414.2263.1532.1901.7601.4200.8220.5920.8531.0821.1890.968
5.7144.1343.0302.0441.6341.3500.819
0.874
0.774;.
0.9661.074
0.934
5.7474.1833.0532.0331.634 s
JLj3§Zk
0JJ320.5810.7780.966;.1.0760.948
5.7974.3283.074^1.887P
1.410
5.6844.336
J2.979
0.637...0.786'"
,..Q.9551.0681.018
0.883-
1,05s1
200002000020000200002000020000200002000020000200002000020000
200 -0.20
200 -0.10
200 -0.05
200 0.00200200200200200200200200
0.050.100.200.400.600.801.001.20
7.1705.1074.0143.0432.4942.0491.4681.3382.1102.5502.5411.501
7.1505.0703.9452.9512.4051.9711.3881.2492.0502.5092.5201.460
7.1165.0253.8742.8652.3291.9121.2791.2502.5403.0873.1191.426
7.065
4.959
3.782
2.755
2.220
1.825
1.181
1.122
2.302
2.888
2.936
1.472
6.8824.7813.5452.4821.9731.6241.0680.8941.5501.8191.8441.259
6.7464.6663.3912.2971.8021.491
0.9620.694;;1.3221.8011.784
1.075
6.6014.5563.2532.1371.6561.3870.824;
0.868
1.1451.2721.044
6.606 6.5334.598 4.7153.280 3.3312.135 2.064;1.1.384 1,339
1.004*^*023*1 361 ¥"*?$?§*
6.2794.6893.2931.S82
1.247;
1.192 :. 1,316'
20000
20000
20000
20000
20000
20000
20000
20000
20000
500 -0.20
500 -0.10
500 -0.05
500 0.00
500 0.05
500 0.10
500 0.20
500 0.40
500 0.60
8.3295.6774.2603.1672.7782.8602.9133.1393.569
8.2685.6034.1743.0692.6692.7262.7442.9793.475
8.2075.5304.0892.9772.5702.6072.5812.8343.464
231
p
(kPa)
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
2000020000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
G
(kgm-2s-1)
500
500
500
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1000
1500
1500
1500
1500
15001500
1500
1500
1500
1500
1500
1500
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
2000
3000
3000
3000
3000
3000
3000
3000
3000
Xe
(-)0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.050.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
50
3.573
3.258
3.056
8.670
5.829
4.237
3.247
3.584
4.438
4.689
6.274
6.129
5.452
5.491
8.818
8.613
5.779
4.172
3.470
4.8296.857
7.785
9.053
9.535
12.145
17.141
18.819
8.568
5.732
4.115
3.748
6.199
9.919
13.368
16.127
19.748
26.162
28.919
24.627
8.550
5.796
3.986
3.994
8.063
14.376
21.334
28.922
100
3.584
3.350
3.108
8.587
5.744
4.145
3.139
3.431
4.235
4.509
6.209
6.207
5.813
5.952
8.911
8.532
5.708
4.080
3.347
4.6386.613
7.654
9.112
9.667
12.115
16.966
18.594
8.493
5.675
4.022
3.611
5.985
9.646
13.189
15.828
19.296
25.541
28.436
24.492
8.476
5.750
3.893
3.848
7.834
14.117
21.051
28.275
150 200
q (kW m-2)
400 600
Heat Transfer Coefficient (kW
3.737
3.683
3.187
8.512
5.665
4.060
3.042
3.293
4.050
4.358
6.137
6.281
6.240
6.559
9.091
8.462
5.641
3.999
3.241
4.4736.393
7.575
9.203
9.842
12.156
16.827
18.400
8.426
5.618
3.942
3.498
5.803
9.391
13.058
15.570
18.875
24.913
27.965
24.390
8.409
5.699
3.815
3.736
7.644
13.869
20.790
27.633
3.727
3.658
3.379
8.430
5.561
3.972
2.934
3.093
3.627
4.431
6.316
6.288
6.310
6.654
8.712
8.379
5.543
3.908
3.119
4.2385.788
7.314
9.281
9.617
11.759
14.813
17.075
8.345
5.538
3.845
3.360
5.565
9.012
12.605
13.868
15.788
22.533
26.828
24.071
8.330
5.633
3.716
3.601
7.433
13.611
20.448
26.534
3.423
3.631
3.698
8.169
5.303
3.718
2.658
2.711
3.093
3.835
5.739
6.924
8.738
10.274
11.217
8.135
5.320
3.676
2.827
3.7295.458
7.959
10.641
11.916
13.243
16.288
18.820
8.113
5.336
3.631
3.055
4.948
8.588
13.673
15.128
16.682
20.069
24.662
23.998
8.101
5.440
3.519
3.324
6.836
12.646
19.782
24.063
3.1123 524
3 =93
7.950
5.110
3.537
2.458
2.424
2.874
3.801
5.294
6.828
9.353
11.031
11.003
7.927
5.145
3.512
2.618
3.3415.271
7.956
10.050
12.259
15.845
18.560
17.860
7.914
5.171
3.486
2.841
4.459
8.270
13.215
15.664
17.865
21.098
24.978
24.673
7.904
5.273
3.398
3.133
6.275
12.318
19.314
23.525
800
m-2 K-2)
3.253
3.470
3 5^0
7.753
4.956
3.390
2.296
2.193
2.904
4.161
5.905
8.063
10.122
11.320
11.167
7.737
4.998
3.377
2.459
3.0784.528
7.061
9.313
12.063
15.703
17.885
17.039
7.733
5.031
3.375
2.681
4.067
7.678
12.002
15.153
18.406
21.614
24.652
24.454
7.725
5.125
3.313
3.005
5.843
11.515
17.950
22.677
1000
2.467
3.148
3.348
7.648
4.947
3.391
2.285
2.166
2.635
3.672
4.756
6.200
8.609
9.893
9.588
7.650
5.005
3.403
2.464
3.0364.267
6.291
8.410
11.062
14.994
17.210
15.088
7.646
5.047
3.390
2.684
4.113
6.632
9.874
13.673
17.984
21.698
23.714
22.212
7.638
5.127
3.341
3.004
5.774
10.697
15.916
21.400
2000
2.450:
2 54C
2 368
7.139
4.898
3.404
2.237
1.960
2.188;
2.823'
3.623,
5.063
6.175
6.601
6.348
7.195
4.988
3.490
2.450
2.651^3.385*
3.560,.
4.789
8.805
11.309
11.363
10.753
7.187
4.992
3.507
2.668:
3.467"
4.685'
4.555
7.705
14.382
19.025
19.678
17.082
7.182
4.993
3.550
2.999
4.435
7.272
10.581
15.906
3000
2.048
2.41?
2.467
6.747
4.942
3.502
2.26Q
1.793
1.971,
2.2141
.2,525
3.872
4.631
4.807
4.259
6.699
4.883
3.533
2.413
2.16S2.159
2.570:3.548
6.134
9.800
10.000
8.400
6.685
4.807
3.632
2,636-2.3941
,2.36d3.236
6.300
11.800
15.684
16.500
13.800
6.683
4.760
3.739
2.999
3.040
4.000
6.400
12.000
232
p
(kPa)20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
20000
G
(kgm-2s-1)30003000
3000
3000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
4000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
5000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
6000
7000
7000
7000
7000
7000
7000
7000
Xe
(-)0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
0.40
0.60
0.80
1.00
1.20
-0.20
-0.10
-0.05
0.00
0.05
0.10
0.20
50
35.285
40.509
41.121
33.556
8.536
5.951
3.836
4.080
9.571
18.108
27.360
36.363
43.875
50.590
52.185
43 616
8.523
6.061
3.713
4.247
11.166
21.716
32.806
43.074
52.002
60.475
63.129
53.729
8.508
6.078
3.630
4.582
13.075
25.725
39.447
51.762
62.448
72.689
75.319
63.370
8.504
5.983
3.637
5.084
15.001
29.085
45.234
100
34.497
39.900
40.764
33.484
8.460
5.905
3.743
3.941
9.340
17.913
27.042
35.813
43.348
50.214
51 948
43 419
8.449
6.018
3.631
4.123
10.928
21.515
32.533
42.665
51.590
60.114
62.821
53.353
8.438
6.047
3.559
4.456
12.814
25.444
39.009
51.156
61.795
72.056
74.803
62.946
8.439
5.981
3.571
4.943
14.738
28.803
44.765
150
33.682
39.251
40.365
33.385
8.392
5.854
3.666
3.835
9.144
17.729
26.700
35.227
42.796
49.818
51 691
'13 204
8.382
5.971
3.562
4.023
10.713
21.321
32.248
42.232
51.164
59.748
62.513
52.980
8.373
6.013
3.498
4.349
12.569
25.170
38.573
50.564
61.157
71.429
74.288
62.526
8.376
5.975
3.513
4.819
14.486
28.525
44.295
200q (kW m-2)400 600 800
Heat Transfer Coefficient (kW m-2 K-2)
32.397
38.780
40 301
33 480
8.311
5.785
3.577
3.720
8.939
17.505
26.339
34.710
42.385
49.573
51 538
43 034
8.304
5.897
3.494
3.941
10.508
21.035
31.958
42.010
50.930
59.397
62.075
52.549
8.299
5.944
3.447
4.282
12.365
24.816
38.069
49.979
60.537
70.804
73.734
62.120
8.309
5.928
3.478
4.761
14.294
28.182
43.761
28.852
35.756
38.097
32.872
8.078
5.586
3.391
3.479
8.356
16.761
25.438
32.662
40.208
47.915
50 182
42 COO
8.075
5.706
3.338
3.728
9.874
20.138
30.552
40.319
49.380
57.871
60.703
51.183
8.077
5.783
3.328
4.074
11.63023.637
36.293
47.794
58.186
68.426
71.627
60.482
8.096
5.838
3.382
4.527
13.528
26.961
41.831
28.547
32.801
36.191
32.797
7.879
5.411
3.277
3.332
7.889
15.954
24.958
30.893
38.509
46.229
48 746
40 942
7.880
5.532
3.253
3.615
9.372
19.177
29.047
38.225
47.266
56.422
59.139
49.524
7.886
5.625
3.283
3.982
11.048
22.414
34.480
45.795
56.100
66.117
69.532
58.969
7.911
5.721
3.367
4.441
12.918
25.681
39.893
27.806
30.237
32.191
32.033!
7.699
5.252
3.204
3.225
7.394
15.970
25.355
29.965
37.078
44.080
46 619
39 753
7.702
5.377
3.202
3.543
8.930
18.229
28.089
35.792
44.669
53.943
57.249
48.058
7.713
5.483
3.268
3.928
10.518
21.213
32.659
43.917
54.100
64.096
67.546
57.431
7.742
5.612
3.379
4.392
12.353
24.406
37.852
1000
28.394
33.131
34.994
31.851
7.615
5.262
3.222
3.228
7.436
15.586
23.119
29.368
37.652
44.279
45 775
33^02
7618
5.351
3.264
3.544
8.559
17.431
27.082
35.146
43.769
52.641
55.798
46.668
7.620
5.454
3.337
3.930
10.085
20.156
30.925
41.830
52.018
61.859
65.503
55.943
7.632
5.580
3.450
4.388
11.863
23.270
35.933
2000
24.177
29.833
29.722
24.426
7.179
5.093
3.489
3.263
5.842
11.218
17.205
24.748
33.491
37.872
37.923
30.778
7.172
5.145
3.570
3.609
6.804
12.657
19.715
27.701
35.561
42.936
46.460
39.478
7.135
5.228
3.714
4.045
8.058
14.771
22.434
31.785
41.676
51.518
55.840
48.631
7.080
5.331
3.863
4.522
9.574
17.425
26.757
3000
19.998
24.407
25 5C0
20.000
6.700
4.804
3.769
3.331
4.133
6.106
10.300
17.805
26.060
30.400
31 7C0
23.021
6.683;
4.852
3.862
3.713
5.141
7.785
11.805
18.321
25.467
33.239
37.535
32.652
6.614
4.911
4.094
4.223
6.118
9.210
13.854
21.992
31.677
41.178
45.891
41.238
6.501
4.989
4.311
4 766
7.401
11.348
17.384
233
q (kW m-2)
P G Xe 50 100 150 200 400 600 800 1000 2000 3000
(kPa) (kgm-2s-1) (-) Heat Transfer Coefficient (kW m-2 K-2)
60.115 59.415 58.733 58.066 55.592 53.443 51.439 49.106 38.518 28.25072.301 71.573 70.866 70.207 67.635 65.447 63.447 61.206 50.626 40.49883.546 82.907 82.272 81.687 79.270 76.875 74.802 72.575 62.027 51.44585.966 85.497 85.021 84.553 82.527 80.460 78.432 76.389 66.423 56.13072.450 72.078 71.705 71.377 69.847 68.430 66.940 65.403 57.746 49.991;
2000020000
20000
20000
20000
700070007000
7000
7000
0.400.60
0.80
1.00
1.20
234
TABLE IV.II. DISTRIBUTION OF DATA AND ERRORS FOR WALL TEMPERATURES IN DEGREES C FOR THE AECL FILMBOILING LOOK-UPTABLE.
Pressure Range (kPa) = 100 to 1000
Mass Flux Range (kg/(m2s))
Heat Flux Range(kW/m2)
50 to 200
200 to 600
600 to 1000
1000 to 3000
235
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
770-4.217.3
1
145-1
12.61
0000
0000
50 to 500
Quality Range
0.00 0.10to to0.10 0.40
15836.18.8
1
871.66.9
1
0000
0000
0000
0000
0000
0000
0.40to1.00
0000
0000
0000
0000
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
500 to 2000
Quality Range
0.00to0.10
0.10to0.40
0000
0000
0000
0000
0000
0000
0000
0000
0.40to1.00
0000
0000
0000
0000
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
2000 to 4000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
0000
0000
0000
0.40to1.00
0000
0000
0000
0000
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
4000 to 7000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
0000
0000
0000
0.40to1.00
0000
0000
0000
0000
TABLE IV.II. (CONT.)
Pressure Range (kPa) = 1000 to 5000
Mass Flux Range (kg/(m2-s))
Heat Flux Range(kW/m2)
50 to 200
200 to 600
600 to 1000
1000 to 3000
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
2-4.95.1
2
2-4.2
52
0000
0000
50 to 500
Quality Range
0.00 0.10 toto 0.400.10
273242
90.91.3
2
0000
0000
332-0.76.3
2
13-1.13.3
2
0000
0000
0.40to1.00
9-6.8
72
42-2.35.3
2
0000
0000
-0.20to-0.05
0000
2-14.614.6
2
0000
0000
-0.05to0.00
53-3.97.2
2
1310.35.7
2
0000
0000
500 to 2000
Quality Range
0.00to0.10
2051.43.2
2
1731.33.1
2
0000
0000
0.10to0.40
330.71.2
2
370.71.9
2
0000
0000
0.40 -0to to1.00 -0
0000
56.56.6
2
173-0.35.7
2
411.5
32
.20
.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
2000 to L1000
Quality Range
0.00to0.10
0000
0000
0000
0000
00
.10 to
.40
0000
0000
211
4.72
17-1.92.5
2
0.40to1.00
0000
0000
34.75.6
2
9-0.42.2
2
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
4000 to 7000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
0000
0000
0000
0.40to1.00
0000
0000
0000
0000
TABLE IV.II. (CONT.)
Pressure Range (kPa) = 5000 to 9000
Mass Flux Range (kg/(m2-s))
Heat Flux Range(kW/m2)
50 to 200
200 to 600
600 to 1000
1000 to 3000
237
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
93
3.82
0000
0000
-0.05to0.00
6-1.22.8
2
382.94.8
2
0000
0000
50 to 50()
Quality Range
0.00to0.10
630.72.6
2
644.14.7
2
0000
0000
0.10 to0.40
1131.85.7
4
116-2.24.3
5
0000
0000
0.40to1.00
26-2.14.4
3
500.8
43
0000
0000
-0.20to-0.05
0000
700.054.1
2
0000
0000
-0.05to0.00
38-2.13.2
2
100-0.27.9
2
0000
0000
500 to 2000
Quality Range
0.00to0.10
710.82.3
2
170-1
7.12
0000
0000
0.10to0.40
223.63.8
2
106-1.83.5
4
0000
0000
0.40 -0to to1.00 -0
0000
401.47.4
2
3540.94.9
4
1991.83.3
3
.20
.05
0000
0000
0000
0000
-0.05to0.00
380.24.3
2
453.9
10.32
0000
0000
2000 tc)4000
Quality Range
0.00to0.10
20-0.41.7
2
431.62.3
2
0000
0000
0.10 to0.40
0000
0000
0000
96-0.93.5
3
0.40 -0to to1.00 -0
0000
40.81.8
1
254-1.64.5
4
419-1.1
43
.20
.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
4000 to 7000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
0000
0000
96-3.69.2
2
0.40to1.00
0000
0000
0000
142.35.5
2
TABLE IV.II. (CONT.)
Pressure Range (kPa) = 9000 to 11000
Mass Flux Range (kg/(m2-s))
Heat Flux Range(kW/m2)
50 to 200 No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
200 to 600 No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
600 to 1000 No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
1000 to 3000 No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
50 to 500
Quality Range
0.00 0.10to 0.400.10
0000
0000
0000
0000
to
0000
0000
0000
0000
0.40 to1.00
0000
0000
0000
0000
-0.20to-0.05
0000
1085.27.9
2
0000
0000
-0.05to0.00
311.22.4
2
1261.28.6
2
0000
0000
500 to 2000
Quality Range
0.00to0.10
190-0.52.7
2
3310.67.3
2
8-2
2.42
0000
0.10to0.40
1410.14.2
4
5600.02
64
841.76.1
2
2-2.52.6
1
0.40to1.00
0000
730.74.7
3
295-0.92.1
3
25-2.93.8
2
-0.20to-0.05
0000
169.4
11.52
0000
0000
2000 to 4000
Quality Range
-0.05to0.00
310.72.3
2
1072.6
10.42
0000
0000
0.00to0.10
78-0.94.42
2
2371.5
52
191.1
32
0000
0.10to0.40
72.6
31
1801.84.7
3
84-2
4.73
733
4.42
0.40to1.00
0000
0000
260.21.3
2
930.63.3
2
-0.20to-0.05
0000
0000
0000
0000
4000 to 7000
Quality Range
-0.05to0.00
0000
125.96.3
2
0000
0000
0.00 0.10to to0.10 0.40
23-1.43.4
2
101-0.23.9
2
191.6 52.9 5.
2
0000
0000
0000
1.7.71
0000
0.40to1.00
0000
0000
0000
0000
TABLE IV.II. (CONT.)
Pressure Range (kPa) = 11000 to 17000
Mass Flux Range (kg/(m2-s))
Heat Flux Range(kW/m2)
50 to 200
200 to 600
600 to 1000
1000 to 3000
239
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
50 to 500
Quality Range
0.00to0.10
0.10!0.40
0000
0000
0000
0000
to
0000
0000
0000
0000
0.40 to1.00
310.8
32
58-3.15.1
2
0000
0000
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
500 to 2000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
68-1.13.4
4
95-5.57.8
3
0000
0.40to1.00
0000
955-1.34.9
5
812-2.14.7
5
0000
-0.20to-0.05
0000
0000
0000
0000
2000 to 4000
Quality Range
-0.05 0.00to to0.00 0.10
0000
0000
0000
0000
0000
0000
0000
0000
0.10to0.40
0000
19-0.11.9
3
361-4.66.9
3
1306.79.2
2
0.40 -0to to1.00 -0
0000
17-0.65.3
3
2370.042.5
3
169-0.4
42
.20
.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
4000 to 7000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10 0.40to to0.40 1.00
0000
0000
0000
0000
0000
0000
0000
0000
to
TABLE IV.II. (CONT.)
Pressure Range (kPa) = 17000 to 20000
Mass Flux Range (kg/(ni2-s))
Heat Flux Range(kW/m2)
50 to 200
200 to 600
600 to 1000
1000 to 3000
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
No. of DataAvg. Error (%)RMS Error (%)No. of Data Set
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
50 to 500
Quality Range
0.00to0.10
0.100.40
0000
0000
0000
0000
to
0000
0000
0000
0000
0.40 to1.00
33-0.03
1.13
0000
0000
0000
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
500 to 2000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10to0.40
0000
32-5
8.22
464
3.81
55.15.3
1
0.40to1.00
11-1.61.7
1
786-1.73.7
3
362-2.34.5
3
33-2.32.4
1
-0.20to-0.05
0000
0000
0000
0000
2000 to 4000
Quality Range
-0.05 0.00to to0.00 0.10
0000
0000
0000
0000
0000
0000
0000
0000
0.10to0.40
0000
0000
94-0.52.8
1
44-4
4.71
0.40to1.00
0000
10-0.10.3
1
3240.41.3
1
178-1.52.4
1
-0.20to-0.05
0000
0000
0000
0000
-0.05to0.00
0000
0000
0000
0000
4000 to 7000
Quality Range
0.00to0.10
0000
0000
0000
0000
0.10 0.40to to0.40 1.00
0000
0000
0000
0000
0000
0000
0000
0000
Appendix V
IPPE TABLE OF HEAT TRANSFER COEFFICIENTS FOR FILM BOILING AND SUPERHEATED STEAM FOR TUBES
TABLE V.I. IPPE TABLE OF HEAT TRANSFER COEFFICIENTS (kW/m2-K) FOR FILM BOILING AND SUPERHEATED STEAM FORA TUBE OF DIAMETER 10 mm AT q = 0.2 - l.OMW/m2; Tinkt< Ts; [P] MPa; [G] kg/ m2-s, x < 1
Bold lines are approximate borderlines between film boiling and post-dryout regimes.
pMPa
0.1
Gkg/m2s
250
0.1 500
0.1 750
0.1 1000
0.1 1500
0.1 2000
0.1 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X-0.20.42g0.60g1.18g0.42g0.60g1.18g0.42g0.60g1.16g0.42g0.60g1.18g0.50g0.60g1.18g0.43g0.60g1.18g0.43g0.60g1.18g
-0.10.37gO.53gO.95gO.37gO.53gO.95gO.37gO.53g0.95g0.37gO.53g0.95g0.37gO.53g0.95g0.37gO.53gO.95g0.37gO.53gO.95g
0.00.24g0.50g0.75g0.24g0.50g0.75g0.24g0.50g0.75g0.24g0.50g0.75g0.24g0.50g0.74g0.24g0.50a0.74g0.24g0.50g0.74g
0.10.19g0.45g0.71g0.21g0.45g0.72g0.26g0.46g0.72g0.32g0.47g0.72g0.24a0.49a0.76g0.30a0.47a0.65g0.34a0.55a0.73a
0.20.19g0.43g0.72g0.26g0.46g0.72g0.40g0.56g0.77g0.53g0.66g0.82g0.23a0.48a1.06g0.33s0.45a0.62a0.44s0.62s0.73a
0.30.22g0.45g0.72g0.33g0.53g0.75g0.51g0.69g0.87g0.34s0.55a0.99g0.23s0.48a0.73a0.34a0.44a0.58a0.56s0.64s0.73a
0.40.25g0.47g0.72g0.42g0.60g0.78g0.26s0.72a0.97g0.18s0.44a0.70a0.21s0.35a0.49a0.34a0.41a0.51a0.65s0.74s0.79a
0.50.28g0.49g0.74g |0.31s0.68g0.86g0.16s0.41a0.67a0.15s0.31a0.48a0.22s0.32a0.42a0.35s0.43a0.50a0.70s0.82s0.88s |
0.60.32g0.52g0.76g0.18s0.52a0.85a0.13a0.30a0.48a0.14s0.26a0.38a0.23s0.31a0.39a0.37s0.45s0.51a0.72s0.88s|0.95s
0.70.30a0.56g0.77g0.13a0.37a0.60a0.12a0.25a0.38a0.14s0.24a |0.33a0.24s0.32a|0.39a0.38s0.48s|0.54a0.70s|0.91s1.00s
0.80.28s0.61g0.82g0.11a0.29a0.47a0.11a0.22a0.33a0.14s10.22a0.30a0.25s0.33a0.39a0.37s0.49s0.56a|0.66s0.91s1.03s
0.90.19s0.56a0.87g0.10a0.24a0.38a0.10a0.20a0.29a0.14s0.22a0.29a0.24s0.33a0.39a0.36s0.50s0.57a0.59s0.88s1.03s
1.00.14a0.43a0.71a0.09a0.21a0.33a0.10a0.18a0.26a0.14s0.21a0.28a0.24s0.34a0.40a0.33s0.50s0.58a0.51s0.84s1.02s
to
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
0.1
Gkg/m s
250
0.1 500
0.1 750
0.1 1000
0.1 1500
0.1 2000
0.1 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.12a0.35a0.58a0.08a0.19a0.29a0.10a0.18a0.25a0.14s0.21a0.27a0.22s0.34a0.40a0.30s0.49s0.59a0.42s0.78s0.98s
1.20.10a0.29a0.49a0.08a0.17a0.26a0.10a0.17a0.23a0.14s0.21a0.27a0.21s0.34a0.41a0.27s0.48s0.58a0.34s0.71s0.93s
1.30.09a0.25a0.42a0.07a0.16a0.24a0.10a0.17a0.22a0.13s0.21a0.26a0.19s0.33a0.41a0.24s0.46s0.58a0.27s0.64s0.87s
1.40.08a0.22a0.37a0.07a0.15a0.22a0.10a0.16a0.22a0.13s0.21a0.26a0.18s0.33a0.41a0.20s0.43s0.56a0.22s0.57s0.81s
1.50.07a0.20a0.33a0.07a0.14a0.21a0.09a0.16a0.21a0.12s0.21a0.26a0.14s0.32a0.40a0.18s0.41s0.55a0.18s0.50s0.74s
1.60.07a0.18a0.30a0.07a0.13a0.20a0.09a0.16a0.21a0.12a0.21a0.26a0.14s0.31a0.40a0.15s0.38s0.53a0.15s0.44s0.68s
1.70.06a0.17a0.27a0.06a0.13a0.19a0.09a0.16a0.20a0.11a0.20a0.26a0.13s0.29a0.39a0.13s0.35a0.50a0.13s0.39s0.62a
1.80.06a0.15a0.25a0.06a0.12a0.18a0.09a0.15a0.20a0.10a0.20a0.26a0.12s0.28a0.38a0.12s0.33a0.48a0.12s0.35a0.56a
1.90.05a0.14a0.23a0.06a0.12a0.17a0.08a0.15a0.20a0.10a0.20a0.26a0.10a0.27a0.37a0.11a0.30a0.45a0.11a0.31a0.51a
2.00.05a0.13a0.22a0.06a0.12a0.17a0.08a0.15a0.20a0.09a0.19a0.25a0.10a0.25a0.36a0.10a0.28a0.43a0.09a0.28a0.47a
2.10.05a0.13a0.20a0.06a0.11a0.16a0.08a0.15a0.20a0.08a0.19a0.25a0.09a0.24a0.35a0.09a0.26a0.40a0.09a0.26a0.43a
2.20.05a0.12a0.19a0.06a0.11a0.16a0.07a0.15a0.19a0.08a0.18a0.25a0.08a0.23a0.34a0.08a0.24a0.38a0.08a0.24a0.40a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
0.2
Gkg/m s
250
0.2 500
0.2 750
0.2 1000
0.2 1500
0.2 2000
0.2 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X-0.20.41g0.66g0.95g0.41g0.66g0.95g0.41g0.66g0.95g0.41g0.66g0.95g0.47g0.66g0.95g0.56g0.66g0.95g0.56a0.66g0.95g
-0.10.37g0.55g0.84g0.37g0.55g0.84g0.37g0.55g0.84g0.37g0.55g0.84g0.37g0.55g0.84g0.42g0.55g0.84g0.48g0.58g0.84g
0.00.27g0.52g0.77g0.27g0.52g0.77g0.27g0.52g0.77g0.27g0.52g0.77g0.27g0.52g0.77g0.27g0.52g0.77g0.27g0.52g0.77g
0.10.23g0.45g0.72g0.24g0.45g0.72g0.28g0.46g0.73a0.33g0.47g0.73g0.47g0.60g0.76g0.30a0.55a0.74a0.40a0.60a0.81a
0.2(U9g0.44g0.73g0.30g0.47g0.72g0.42g0.57g0.77g0.54g0.68g0.82g0.85g0.96g1.08g0.33a0.51a0.71a0.54s0.68a0.85a
0.30.22g0.46g0.73g0.36g0.49a0.75g0.52g0.70g0.88g0.42a0.86gl.OOg0.34s0.80s1.26a0.35s0.51a0.68a0.66s0.77s0.90a
0.40.26g0.47g0.73g0.43g0.51g0.78g0.39a0.82g0.97g0.30s0.78s1.17g0.27s0.48a0.70a0.38s0.51s0.66a0.77s0.87s0.95s
0.50.29g0.50g0.75g0.49g0.70g0.87g0.27s0.73al . l lg0.20s0.47a0.73a0.27s0.41a0.55a0.41s0.52s0.62a0.83s0.96s1.03s
0.60.32g0.52g0.77g0.35s0.76g0.96g0.18s0.47a0.75a0.18s0.36a0.54a0.28s0.39a0.49a0.44s0.54s0.62a0.85s1.03s1.11s
0.70.37g0.57g0.80g0.22s0.61a1.01a0.15s0.35a0.56a0.17s0.31a0.45a0.28s0.38a0.47a0.44s0.56s0.63a0.83s1.06s1.17s
0.80.42g0.62g |0.83g0.16s0.44a0.72a0.14s0.30a0.45a0.17s0.28a0.40a0.28s |0.39a0.47a0.43s0.57s0.65a0.77s1.05s1.19s
0.90.35s|0.70g0.88g0.13a0.35a0.56a0.13a0.26a0.39a0.16s |0.27a0.36a|0.28s0.39a0.47a0.41s0.58s0.67a0.69s1.01s1.19s
1.0|0.23s0.70a0.94g0.11a0.29a0.47a0.12a0.24a0.35a|0.16s0.26a0.34a0.27s0.39a0.47a0.38s0.57s0.67a0.58s0.96s1.16s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
0.2
Gkg/m s
250
0.2 500
0.2 750
0.2 1000
0.2 1500
0.2 2000
0.2 3000
qMW/ra2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.18s0.53a0.88a0.10a0.25a0.40a0.12a0.22a0.32a0.16s0.25a0.33a0.25s0.39a0.47a0.34s0.56s0.67a0.48s0.88s1.11s
1.20.14a0.43a0.71a0.09a0.22a0.35a0.12a0.21a0.30a0.15s0.25a0.32a0.23s0.39a0.47a0.30s0.54s0.66a0.38s0.79s1.05s
1.30.12a0.36a0.59a0.09a0.20a0.32a0.11a0.20a0.28a0.15s0.25a0.31a0.21s0.38a0.47a0.26s0.51s0.65a0.30s0.70s0.97s
1.40.11a0.31a0.51a0.08a0.19a0.29a0.11a0.20a0.27a0.14s0.24a0.31a0.19s0.37a0.46a0.22s0.48s0.63a0.24s0.62s0.89s
1.50.09a0.27a0.45a0.08a0.18a0.27a0.11a0.19a0.26a0.13s0.24a0.30a0.17s0.35a0.46a0.19s0.44s0.60a0.19s0.54s0.81s
1.60.08a0.24a
L0.40a0.08a0.17a0.25a0.10a0.19a0.25a0.13s0.23a0.30a0.15s0.34a0.45a0.16s0.41s0.58a0.16s0.47s0.73s
1.70.08a0.22a0.36a0.07a0.16a0.24a0.10a0.18a0.24a0.12a0.23a0.30a0.14s0.32a0.43a0.14s0.38a0.55a0.14s0.41s0.66s
1.80.07a0.20a0.33a0.07a0.15a0.22a0.09a0.18a0.24a0.11a0.23a0.29a0.12s0.30a0.42a0.12s0.34a0.52a0.12s0.37s0.59a
1.90.07a0.18a0.30a0.07a0.15a0.21a0.09a0.18a0.23a0.10a0.22a0.29a0.11a0.29a0.41a0.11a0.32a0.48a0.11a0.33a0.54a
2.00.06a0.17a0.28a0.07a0.14a0.20a0.08a0.17a0.23a0.09a0.21a0.29a0.10a0.27a0.39a0.10a0.29a0.45a0.10a0.30a0.49a
2.10.06a0.16a0.26a0.07a0.14a0.20a0.08a0.17a0.23a0.09a0.21a0.28a0.09a0.25a0.38a0.09a0.27a
L0.42a0.09a0.27a0.45a
2.20.06a0.15a0.24a0.06a0.13a0.19a0.08a0.16a0.22a0.08a0.20a0.28a0.08a0.24a0.36a0.08a0.25a0.40a0.08a0.25a0.41a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
0.5
Gkg/mM s250
0.5 500
0.5 750
0.5 1000
0.5 1500
0.5 2000
0.5 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.20.34g0.57g0.87g0.38g0.62g0.94g0.38g0.62g0.94g0.38g0.62g0.94g0.55g0.62g0.94g0.67g0.62g0.94g0.81g0.79g0.94g
-0.10.32g0.52g0.81g0.34g0.54g0.84g0.34g0.54g0.84g0.34g0.54g0.84g0.42g0.54g0.84g0.50g0.56g0.84g0.59g0.68g0.84g
0.00.29g0.46g0.75g0.31g0.46g0.75g0.31g0.47g0.75g0.31g0.47g0.75g0.31g0.48g0.76g0.31g0.49g0.76g0.31g0.49g0.76g
0.10.26g0.46g0.74g0.26g0.46g0.74g0.3 lg0.47g0.75g0.36g0.48g0.75g0.50g0.62g0.78g0.68g0.77g0.87g0.50a1.12g1.22g
0.20.20g0.45g0.74g0.34g0.48g0.74g0.46g0.59g0.79g0.58g0.70g0.84g0.88g0.99gl . l lg1.30g1.30g1.40g0.70a1.16a1.26a
0.30.23g0.47g0.74g0.39g0.56g0.78g0.56g0.72g0.91g0.73g0.88g1.04g1.19g1.28g1.41g0.96s1.71gl-81g0.90s1.21s1.30a
0.40.27g0.49g0.75g0.45g0.64g0.81g0.66g0.85g1.02g0.87g1.07g1.23g0.61s1.52s2.43s0.55s0.93s1.33s1.03 s1.23a1.35s
0.50.31g0.51g0.77g0.52g0.73g0.90g0.78g0.99g1.16g
0.60.34g0.54g0.79g0.58g0.82g0.99g0.78s0.99a1.30g
0.76s 10.36s1.25g1.42g0.40s0.79s1.18a
0.92s1.47a0.38s0.62s0.87a
0.55s 10.57s0.76s0.99s1.11s1.27s1.39s
0.74s0.90s1.13s1.33s1.45s
0.70.39g0.57g0.82g0.56a0.93gl.lOg0.36s1.00s1.17a0.28s0.62s0.97a0.37s0.56s0.74a0.57s0.74s0.87s1.08s1.35s1.50s
0.80.44g0.64g0.85g0.53s1.04g1.21g0.26s0.66s1.07a0.24s0.50a
0.90.55g0.82g0.91g0.32s0.92s1.39g0.21s0.51a0.81a0.22s0.43a
0.75a 10.63a0.36s ||0.35s0.53s 10.52s0.68a0.55s0.74s0.86s1.00s1.32s1.51s
0.65a0.51s0.73s0.86s0.87s1.26s1.48s
1.00.49a0.82g0.96g0.23s0.65a1.07a0.18s0.42a0.66a0.21s0.39a0.55a0.33s0.50s0.63a0.46s0.71s0.85s0.71s1.17s1.42s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
0.5
Gkg/m s
250
0.5 500
0.5 750
0.5 1000
0.5 1500
0.5 2000
0.5 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.42s0.82g0.98g0.19s0.51a0.83a0.17s0.37a0.56a0.20s0.36a0.50a0.30s0.49s0.61a0.40s0.68s0.83s0.56s1.05s1.34s
1.20.29s0.74a0.97g0.16s0.42a0.69a0.15s0.33a0.50a0.19s0.34a0.47a0.27s0.48s0.60a0.34s0.64s0.81s0.43s0.93s1.24s
1.30.22s0.66a0.91a0.14s0.36a0.58a0.14s0.30a0.45a0.18s0.33a0.44a0.24s0.46s0.58a0.29s0.60s0.78s0.33s0.80s1.13s
1.40.18s0.54a0.89a0.12a0.32a0.51a0.14s0.28a0.41a0.17s0.31a0.42a0.22s0.44s0.57a0.24s0.55s0.74s0.25s0.69s1.01s
1.50.15s0.45a0.75a0.11a0.29a0.46a0.13s0.26a0.38a0.15s0.30a0.41a0.19s0.41s0.55a0.20s0.50s0.70a0.21s0.59s0.90s
1.60.13a0.39a0.65a0.10a0.26a0.41a0.12a0.25a0.36a0.14s0.29a0.39a0.17s0.39a0.53a0.17s0.46s0.66a0.17s0.51s0.80s
1.70.12a0.34a0.57a0.10a0.24a0.38a0.11a0.24a0.34a0.13s0.28a0.38a0.15s0.37a0.51a0.15s0.41s0.62a0.15s0.44s0.72s
1.80.10a0.31a0.51a0.09a0.22a0.35a0.11a0.23a0.33a0.12a0.27a0.37a0.13s0.34a0.49a0.13s0.37a0.58a0.13s0.39s0.64a
1.90.10a0.28a0.46a0.09a0.21a0.33a0.10a0.22a0.32a0.11a0.26a0.36a0.12a0.32a0.47a0.12s0.34a0.53a0.12a0.35a0.57a
2.00.09a0.25a0.42a0.08a0.20a0.31a0.09a0.21a0.30a0.10a0.25a0.35a0.10a0.30a0.44a0.10a0.31a0.50a0.10a0.31a0.52a
2.10.08a0.23a0.39a0.08a0.19a0.29a0.09a0.21a0.29a0.09a0.24a0.34a0.10a0.27a0.42a0.10a0.28a0.46a0.10a0.28a0.47a
2.20.07a0.22a0.36a0.07a0.18a0.27a0.08a0.20a0.28a0.09a0.23a0.33a0.09a0.26a0.40a0.09a0.26a0.43a0.09a0.26a0.43a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
1.0
Gkg/m2s
250
1.0 500
1.0 750
1.0 1000
1.0 1500
1.0 2000
1.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X-0.20.55g0.71g0.88g0.84g0.82g1.02g0.84g0.82g1.02g0.84g0.82g1.02g0.84g0.82g1.02g0.84g0.82g1.02g0.84g0.82g1.02g
-0.10.47g0.61g0.82g0.70g0.69g0.91g0.70g0.68g0.91g0.70g0.68g0.91g0.65a0.68g0.91g0.65g0.68g0.91g0.70g0.69g0.91g
0.00.36g0.52g0.78g0.40g0.59g0.82g0.42g0.59g0.82g0.44g0.59g0.83g0.44g0.59g0.83g0.44g0.59g0.83g0.44g0.66g0.86g
0.10.32g0.50g0.77g0.33g0.52g0.77g0.40g0.66g0.80g0.46g0.56g0.81g0.57g0.64g0.81g0.72g0.80g0.90g1.19g1.18g1.26g
0.20.25g0.47g0.77g0.44g0.57g0.80g0.55g0.80g0.84g0.66g0.75g0.89g0.94g1.04g1.15g1.38g1.37g1.41g1.21a1.58a2.10g
0.30.28g0.49g0.76g0.47g0.62g0.82g0.63g0.95g0.96g0.79g0.99gl.lOg1.27g1.40g1.48g1.10a1.86a1.88g1.24s1.57a1.96a
0.40.31g0.50g0.76g0.50g0.67g0.83g0.71g1.05g1.07g0.92g1.23g1.30g0.96a1.40a1.43a0.83s1.60a1.62a1.34s1.56s1.84s
0.50.34g0.53g0.79g0.56g0.76g0.93g0.83g1.15g1.19g0.86a1.34g1.46g0.65s1.35a1.39a0.72s1.08s1.46s1.44s1.63s1.80s
0.60.36g0.56g0.81g
0.70.42g0.61g0.84g
0.61g 0.77g0.85g J0.98g1.02g0.96g1.35g1.32g0.81s1.20a1.62g0.50s
1.14g0.88s1.26a1.51g
0.80.48g0.67g0.87g0.69al.lOg1.27g0.43s1.18s1.38a
0.43s 1 0.33s1.07s 10.74s1.38a0.47s
0.92s ||0.76s1.34s 11.04a0.72a0.96s1.21s1.46s1.69s1.85s
0.72s0.94s1.13s1.39s
1.15a0.45s0.69s0.91a0.68s0.92s1.09s1.26s
1.70s 11.65s1.88s 11.87s
0.90.59g0.74g0.93g0.61s1.08a1.46g0.31s
1.00.70g0.81g0.99g0.37s1.06s1.35a0.25s
0.79s 10.61s1.28a 10.97a0.29s l|0.26s0.60s 10.52s0.90a0.43s0.65s0.84a0.62s0.90s1.07s1.08s1.55s1.82s
0.76a0.40s0.62s0.79a0.52s0.86s1.04s0.87s1.40s1.72s
g - Groenevelda - approximations - Sergeev
to
to00
TABLE V.I. (CONT.)
pMPa
1.0
Gkg/m s
250
1.0 500
1.0 750
1.0 1000
1.0 1500
1.0 2000
1.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
1.10.63s0.81gl.Olg0.27s0.76s1.25a0.21s0.50a0.79a0.24s0.46a0.67a0.36s0.60s0.76a0.47s0.81s1.01s0.66s1.24s1.59s
1.20.39s0.79gl.Olg0.21s0.59a0.98a0.19s0.44a0.67a0.23s0.43a0.61a0.32s0.57s0.73a0.39s0.75s0.97s0.48s1.07s1.45s
1.30.29s0.73a0.98a0.18s0.49a0.80a0.18s0.39a0.59a0.21s0.40a0.56a0.29s0.54s0.71a0.32s0.69s0.92s0.36s0.90s1.29s
1.40.23s0.67a0.95a0.16a0.42a0.68a0.16s0.36a0.54a0.19s0.38a0.53a0.24s0.51s0.68a0.26s0.63s0.87s0.27s0.76s1.14s
1.50.19s0.55a0.92a0.14s0.37a0.60a0.15s0.33a0.49a0.16s0.36a0.50a0.21s0.48s0.65a0.22s0.56s0.81s0.22s0.64s1.00s
1.60.16s0.47a0.78a0.13a0.33a0.53a0.14s0.31a0.46a0.16s0.34a0.48a0.18s0.44s0.62a0.18s0.50s0.75s0.18s0.54s0.88s
1.70.14a0.41a0.68a0.12a0.30a0.48a0.13s0.29a0.43a0.14s0.33a0.46a0.16s0.41a0.59a0.16s0.45s0.69a0.16s0.47s0.77s
1.80.12a0.36a0.60a0.11a0.28a0.44a0.12s0.27a0.40a0.13s0.31a0.44a0.14s0.38a0.56a0.14s0.40a0.63a0.14s0.41s0.68a
1.90.11a0.33a0.54a0.10a0.26a0.41a0.11s0.26a0.38a0.12a0.29a0.42a0.12a0.35a0.52a0.12a0.36a0.58a0.12a0.37a0.61a
2.00.10a0.30a0.49a0.09a0.24a0.38a0.10s0.25a0.36a0.11a0.28a0.41a0.11a0.32a0.49a0.11a0.33a0.53a0.11a0.33a0.55a
2.10.09a0.27a0.45a0.09a0.22a0.35a0.10s0.24a0.35a0.10a0.27a0.39a0.10a0.29a0.46a0.10a0.30a0.49a0.10a0.30a0.50a
2.20.08a0.25a0.41a0.08a0.21a0.33a0.09s0.23a0.33a0.09a0.25a0.37a0.09a0.27a0.44a0.09a0.28a0.45a0.09a0.26a0.46a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
2.0
Gkg/m2s
250
2.0 500
2.0 750
2.0 1000
2.0 1500
2.0 2000
2.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.20.88g0.90g0.99g0.90g0.90g0.97g0.90a0.90g
l . l lg0.19a0.90gl . l lg0.90a0.90g
l . l lg0.90a0.90gl . l lg0.90a0.90gl . l lg
-0.10.75g0.76g0.90g0.77g0.76g0.91g0.76a0.76g0.97g0.76a0.76g0.97g0.77a0.77g0.97g0.77a0.77g0.97g0.78a0.78g0.97g
0.00.48g0.63g0.84g0.50g0.70g0.85g0-53g0.70g0.94g0.55g0.70g0.97g0.73g0.74a0.97g0.73g0.81g0.97g0.73g0.81g0.97g
0.10.39g0.59g0.82g0.42g0.63g0.84g0.49g0.65g0.90g0.56g0.66g0.97a0.76g0.78g1.00a0.85g0.88g0.98g1.35a1.37g1.37g
0.20.28g0.53g0.80g0.40g0.63g0.88g0.55g0.75g0.92g0.70g0.86gl.OOg1.05g1.17g1.22g1.30a1.35a1.38g2.25a2.30a2.32g
0.30.34g0.55g0.80g0.49g0.71g0.93g0.66g0.97g1.08g0.84g1.23g1.27g1.42g1.60a1.64g1.95a2.00a2.03g2.34a2.55a2.60a
0.40.39g0.56g0.80g0.57g0.78g0.98g0.77g1.10a1.24g0.97g1.35a1.44a1.78g1.90a2.06g1.70a2.13a2.68g |2.30a2.55a2.65a |
0.50.41g0.58g0.82g0.67g0.80g1.02g0.94g1.14g1.25g1.21g1.48g1.52g1.32a2.01a2.36g |1.17s1.91s
|2.28a2.28s2.55a2.71s
0.60.43g0.59g0.84g0.78g0.82g1.16gl . l lg1.21a1.27g1.07a1.36g1.61a0.85s1.71s
|2.02a1.11s1.47s1.88s2.28s2.55s2.73s
0.70.54g0.65g0.89g0.90a0.98g1.29g1.04a1.29g1.45g |0.92s1.33a1.74g0.71s1.19s1.68s1.08s1.36s1.65s2.16s2.52s2.75s
0.80.64g0.72g0.94g1.10a1.14g1.50g0.98s1.34a
|l.63g0.54s1.29s1.57a0.66s1.00s1.35s1.00s1.31s1.55s
11.92s2.40s2.69s
0.90.71g0.73g0.98g1.02a1.33g1.71g0.52s1.40s1.58a0.42s0.92s1.41s0.60s0.92s1.19s0.90s1.25s1.49s1.59s2.20s2.55s
1.00.72a0.74g1.02a0.67s1.27a1.65g0.37s0.95s1.53a0.37s0.75s1.12a0.54s0.86s1.10s0.77s1.17s1.43s1.22s1.94s2.36s
g-Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
2.0
Gkg/m2s
250
2.0 500
2.0 750
2.0 1000
2.0 1500
2.0 2000
2.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.71g0.72g1.04a0.42s1.21s1.58g0.30s0.74s1.17a0.33s0.65s0.95a0.48s0.80s1.03s0.63s1.08s1.36s0.87s1.65s2.12s
1.20.54s0.70g1.05a0.31s0.88s1.44a0.26s0.61s0.96a0.29s0.58s0.84a0.41s0.75s0.98s0.50s0.98s1.27s0.60s1.36s1.86s
1.30.37s0.69a1.08a0.25s0.69s1.13a0.23s0.53a0.82a0.26s0.53s0.76a0.34s0.69s0.92s0.39s0.87s1.18s0.42s1.10s1.61s
1.40.28s0.68a1.11a0.21s0.57a0.93a0.21s0.47a0.72a0.24s0.49s0.70a0.29s0.64s0.87s0.30s0.77s1.09s0.31s0.89s1.37s
1.50.23s0.68a1.13a0.18s0.49a0.80a0.19s0.43a0.65a0.21s0.46a0.65a0.24s0.58s0.82a0.25s0.67s0.99s0.25s0.73s1.17s
1.60.19s0.57a0.94a0.16s0.43a0.70a0.17s0.39a0.59a0.19s0.43a0.61a0.20s0.53s0.77a0.20s0.59s0.90s0.20s0.61s1.00s
1.70.16s0.49a0.81a0.14s0.38a0.62a0.15s0.37a0.55a0.17s0.40a0.58a0.17s0.48s0.72a0.17s0.51s0.81s0.17s0.52s0.87s
1.80.14a0.43a0.71a0.13a0.35a0.56a0.14s0.34a0.51a0.15s0.38a0.55a0.15s0.44a0.67a0.15s0.45s0.73a0.15s0.46s0.76s
1.90.13a0.38a0.64a0.12a0.32a0.51a0.13a0.32a0.48a0.13a0.35a0.52a0.14s0.39a0.62a0.14s0.40a0.66a0.14s0.41a0.67a
2.00.12a0.34a0.57a0.11a0.30a0.47a0.12a0.30a0.45a0.12a0.33a0.49a0.12a0.36a0.57a0.12a0.36a0.60a0.12a0.36a0.61a
2.10.11a0.31a0.52a0.10a0.27a0.44a0.11a0.28a0.43a0.11a0.31a0.47a0.11a0.33a0.53a0.11a0.33a0.55a0.11a0.33a0.55a
2.20.09a0.29a0.48a0.10a0.26a0.41a0.10a0.27a0.41a0.10a0.29a0.44a0.10a0.30a0.49a0.10a0.30a0.50a0.10a0.30a0.50a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
3.0
Gkg/m s
250
3.0 500
3.0 750
3.0 1000
3.0 1500
3.0 2000
3.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.20.98g1.06g1.20gl.OOg1.06g1.28g1.06a1.06g1.28g1.06a1.06g1.28g1.06a1.06g1.28g1.06a1.06g1.28g1.06a1.06g1.28g
-0.10.84g0.88g1.05g0.86g0.88gUOg0.88a0.88gl.lOg0.88a0.88g1-lOg0.88a0.88gl.lOg0.88a0.88gl.lOg0.89a0.89gUOg
0.00.56g0.69g0.88g0.58g0.76g0.96g0.60g0.76g0.98g0.63g0.76gl.OOg0.78g0.86gl.OOg0.78g0.86gl.OOg0.78g0.86g1.02g
0.10.45g0.64g0.85g0.48g0.68g0.89g0.55g0.70g0.94g0.63g0.72gl.OOg0.83g0.83gl.OOg0.95g0.96g1.05g1.35a1.40a1.44g
0.20.32g0.56g0.82g0.45g0.68g0.88g0.61g0.79g0.96g0.76g0.91g1.05g1.16g1.24g1.29g1.35a1.40a1.46g2.30a2.35a2.39g
0.30.37g0.57g0.82g0.53g0.75g0.92g0.71g1.02g1.12g0.89g1.29g1.33g1.56g1.82g1.71g1.90a2.00a2.11g3.10a3.35a3.36g
0.40.42g0.59g0.83g0.61g0.82g0.97g0.82g1.15a1.29g1.03g1.55a1.60gl-97g2.05a2.13g1.85a2.70a2.76g3.15a3.72s
0.50.44g0.60g0.84g0.72g0.86g1.02gl.Olg1.22g1.31g1.28g1.59g1.61g1.63a2.20a2.42g1.78s2.60a2.71a3.24s3.62a
3.80a ||3.78s
0.60.46g0-61g0.86g0.83g0.89gl-07g1.19g1.30a1.34g1.15a1.52g1.61g1.29s2.32a2.37a1.57s2.07s2.66s3.23s3.57s3.78s
0.70.58g0.68g0.90g1.02a1.02g1.15g1.19a1.40g1.49g1.00a1.44a1.81g0.98s1.64s2.32s1.50s1.86s2.22s3.03s3.50s3.76s
0.80.70g0.74g0.94g1.10a1.16g1.23g1.19a1.60g1.64g0.83s1.36a1.90a0.88s1.33s1.78s1.38s1.75s2.05s|2.66s3.28s3.63s
0.90.75a0.77g0.99g1.21a1.34g1.44g0.81s1.47a1.95g0.58s1.29s1.99s0.79s1.19s1.54s1.20s1.65s1.94s2.16s2.94s3.38s
1.00.76a0.80g1.04g1.04s1.53g1.65g0.51s1.34s1.75a0.48s0.99s1.48s0.69s1.09s1.40s1.00s1.52s1.84s1.60s2.52s3.05s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
to pMPa
3.0
Gkg/m2s
250
3.0 500
3.0 750
3.0 1000
3.0 1500
3.0 2000
3.0 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.77a0.78g1.06g0.56s1.32a1.58g0.39s0.97s1.55s0.41s0.83s1.21s0.59s1.00s1.29s0.78s1.37s1.71s1.08s2.07s2.67s
1.20.65s0.75g1.06g0.39s1.12s1.53g0.32s0.78s1.22a0.36s0.73s1.05a0.49s0.92s1.21s0.59s1.20s1.58s0.70s1.64s2.27s
1.30.43s0.75a1.06a0.30s0.85s1.39a0.28s0.66s1.02a0.32s0.66s0.94a0.39s0.84s1.13s0.44s1.04s1.44s0.47s1.28s1.90s
1.40.32s0.75a1.06a0.25s0.69s1.13a0.25s0.58s0.88a0.28s0.60s0.86a0.32s0.75s1.05s0.34s0.89s1.29s0.34s1.00s1.57s
1.50.26s0.75a1.06a0.21s0.58a0.95a0.22s0.52a0.79a0.24s0.55s0.79a0.26s0.67s0.97s0.27s0.76s1.15s0.27s0.81s1.31s
1.60.21s0.63a1.06a0.18s0.50a0.82a0.20s0.47a0.71a0.21s0.51s0.74a0.22s0.60s0.89s0.22s0.65s1.02s0.22s0.67s1.10s
1.70.18s0.54a0.90a0.16s0.45a0.72a0.18s0.43a0.65a0.19s0.47a0.69a0.19s0.53s0.82a0.19s0.56s0.91s0.19s0.57s0.94s
1.80.16a0.48a0.79a0.15s0.40a0.65a0.16s0.40a0.60a0.16s0.43a0.64a0.16s0.48s0.75a0.16s0.49s0.81s0.16s0.49s0.82s
1.90.14a0.42a0.70a0.14a0.37a0.59a0.14s0.37a0.56a0.15s0.40a0.61a0.14s0.43a0.69a0.15s0.44s0.72a0.15s0.44s0.73a
2.00.13a0.38a0.63a0.12a0.34a0.54a0.13a0.35a0.53a0.13a0.37a0.57a0.13a0.39a0.63a0.13a0.39a0.65a0.13a0.39a0.65a
2.10.12a0.34a0.57a0.11a0.31a0.50a0.12a0.32a0.50a0.12a0.34a0.53a0.12a0.35a0.58a0.12a0.36a0.59a0.12a0.36a0.59a
2.20.11a0.32a0.52a0.11a0.29a0.47a0.11a0.30a0.47a0.11a0.32a0.50a0.11a0.32a0.53a0.11a0.32a0.54a0.11a0.32a0.54a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
4
Gkg/m2s
250
4 500
4
4
750
1000
4 1500
4 2000
4 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X-0.21.08g1.22g1.42gl.lOg1.22g1.46g1.20g1.22g1.46g1.30g1.22g1.46g1.30g1.22g1.46g1.30g1.22g1.46g1.30g1.22g1.46g
-0.10.85a0.89g1.20g0.96g0.99g1.22g0.99g0.99g1.22g1.02g0.99g1.22g1.03g0.99g1.22g1.03g0.99g1.22g1.03gl.OOg1.22g
0.00.63g0.75g0.92g0.65g0.82gl.Olg0.68g0.82g1.02g0.70g0.82g1.03g0.84g0.90g1.04g0.84g0.90g1.04g0.84g0.90g1.07g
0.10.50g0.68g0.88g0.53g0.73g0.93g0.61g0.75g0.99g0.70g0.78g1.05g0.90g0.88g1.05g1.00a1.03g1.12g1.40a1.45a1.50g
0.20.36g0.59g0.84g0.50g0.72g0.92g0.66g0.84gl.Olg0.82g0.96gl . l lg1.27g1.32g1.36g1.45a1.50a1.54g2.35a2.40a2.46g
0.30.40g0.60g0.85g0.58g0.79g0.96g0.76g1.07g1.17g0.95g1.34g1.39g1.71g1.74a1.77g2.10a2.15a2.19g3.30a3.40a3.45g
0.40.44g0.61g0.85g0.66g0.86gl.Olg0.87g1.30g1.34g1.08g1.60a1.67g2.00a2.10a2.19g2.72a2.80a2.83g4.19s4.35a4.45g |
0.50.47g0.63g0.87g0.77g0.91g1.06g1.07g1.31g1.37g1.38g1.62a1.68g2.15a2.30a2.49g2.66s3.09a3.34g4.40s4.74s|5.08s
0.60.49g0.64g0.88g0.89g0.96g1.12g1.28g1.32g1.41g1.50a1.68g1.70g2.14s2.53a2.78g2.12s2.80s3.59s4.37s4.80s5.04s
0.70.62g0.71g0.91g0.95a1.07g1.14g1.31a1.51g1.53g1.33a1.95g1.92g |1.34s2.28s3.26s2.01s2.44s2.88s4.08s4.67s4.98s
0.80.76g0.78gl.OOg1.00a1.17g1.20a1.35g1.60a1.65g1.18s1.81a
|2.14g1.17s1.74s2.32s1.83s2.28s2.63s|3.55s4.33s4.75s
0.90.78a0.82g1.07g1.30a1.36g1.38g1.17s1.71a1.95g0.76s1.68s2.00a1.03s1.51s1.94s1.57s2.11s2.46s2.84s3.81s4.36s
1.00.80a0.85g1.08g1.47s1.55g1.59g0.66s1.73s1.93a0.60s1.23s1.85s0.89s1.37s1.74s1.27s1.91s2.29s2.04s3.19s3.85s
g - Groenevelda - approximations - Sergeev
to
toTABLE V.I. (CONT.)
pMPa4
Gkg/m2s250
4 500
4 750
4 | 1000
4 1500
4 2000
4 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
1.10.78a0.88a1.09g0.71s1.44g1.56g0.48s1.20s1.91s0.51s1.01s1.47s0.73s1.24s1.59s0.96s1.68s2.11s1.31s2.54s3.28s
1.20.76s0.88a1.32a0.47s1.35s1.52g0.39s0.93s1.46s0.44s0.87s1.26s0.59s1.12s1.47s0.70s1.44s1.91s0.80s1.94s2.71s
1.30.49s0.94a1.55a0.35s1.00s1.41a0.33s0.77s1.20a0.37s0.78s1.11a0.46s1.00s1.35s0.50s1.22s1.70s0.52s1.46s2.20s
1.40.36s1.07a1.78a0.28s0.79s1.30a0.28s0.67s1.03a0.32s0.70s1.00a0.36s0.88s1.24s0.37s1.01s1.49s0.38s1.11s1.77s
1.50.28s0.84a1.40a0.24s0.66s1.08a0.25s0.60s0.91a0.27s0.64s0.92a0.29s0.77s1.13s0.29s0.85s1.30s0.29s0.88s1.44s
1.60.23s0.70a1.16a0.21s0.57a0.93a0.22s0.54a0.82a0.23s0.58s0.85a0.24s0.68s1.02s0.24s0.71s1.14s0.24s0.72s1.20s
1.70.20s0.59a0.99a0.18s0.50a0.81a0.19s0.49a0.74a0.20s0.53s0.79a0.20s0.59s0.93s0.20s0.61s0.99s0.20s0.61s1.02s
1.80.17s0.52a0.86a0.16s0.45a0.73a0.17s0.45a0.69a0.18s0.48a0.73a0.18s0.52s0.84a0.18s0.53s0.88s0.18s0.53s0.89s
1.90.15a0.46a0.76a0.15a0.41a0.66a0.15s0.41a0.64a0.16s0.44a0.68a0.16s0.47s0.76a0.16s0.47s0.78a0.16s0.47s0.78s
2.00.14a0.41a0.68a0.14a0.37a0.60a0.14a0.38a0.60a0.14a0.41a0.63a0.14s0.42a0.69a0.14s0.42a0.70a0.14s0.42a0.70a
2.10.12a0.37a0.62a0.12a0.34a0.55a0.13a0.36a0.56a0.13a0.37a0.59a0.13a0.38a0.63a0.13s0.38a0.63a0.13s0.38a0.64a
2.20.11a0.34a0.57a0.11a0.32a0.51a0.12a0.33a0.52a0.12a0.34a0.55a0.12a0.35a0.58a0.12s0.35a0.58a0.12a0.35a0.58a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
6
Gkg/m2s
250
6 500
6 750
6 1000
6 1500
6 2000
6 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.21.56g1.35g1.53g1.57g1.47g1.55g1.62g1.48g1.56g1.66g1.49g1.58g1.66g1.49g1.58g1.66g1.49g1.58g1.66g1.49g1.58g
-0.11.15g1-lOgl-29g1.13a1.26g1.39g1.21g1.27g1.40g1.25g1.28g1.42g1.25g1.28g1.42g1.25g1.28g1.42g1.25g1.28gl-42g
0.00.77g0.88gl.Olg0.81g0.98g1.14g0.85g1.03g1.18g0.89g1.07g1.22g0.95gl.lOg1.22g0.95gl . lOg
1.22g0.98gl.lOg1.25g
0.10.71g0.79g0.96g0.72g0.85g1.04g0.78g0.91g1.12g0.85g0.97g1.20g0.99g1.02g1.20g1.21g1.15g1.25g2.04g1.77g1.75g
0.20.48g0.66g0.90g0.64g0.82gl.Olg0.80g0.95g1.12g0.96g1.08g1.22g1.51g1.44g1.49g2.32g2.01g1.74g4.16g3.31g2.71g
0.30.50g0.67g0.90g0.71g0.83a1.05g0.81g1-17S
1.28gl . l lg1.45g1.50g2.00g2.02g1.90g3.22g2.76g2.38g5.88g4.51g3.77g
0.40.53g0.68g0.90g0.78g0.85g1.09g1.02a1.39g1.44g1.28g1.83g1.78g2.49g2.59g2.32g4.00a3.52g3.03g6.84s5.70g4.82g |
0.50.55g0.69g0.91g0.87g1.02g1.14g1.23g1.46g1.49g1.60g1.90g1.85g3.22g2.89g2.82g3.75a4.07g3.59g |7.00s|6.93g|6.00g
0.60.58g0.70g0.91g0.96gl.lOg1.19s1.45g1.54g1.55g1.93g1.98g
1.91s2.68g3.20g2.93g |3.38s|4.12a|4.14g6.94s7.60s7.17g
0.70.70g0.78g0.93g1.20g
l-17s1.25a1.72g1.69g1.60g2.00a2.20g2.06g2.15s3.30a|3.36g3.17s3.74s4.33s6.45s7.33s7.70s
0.80.82g0.87a0.97a1.42g1.24g1.30a2.00g1.84g1.66g |2.06s2.43g |2.20g1.80s2.60s3.43 s2.85s |3.43s3.86s5.59s6.72s7.26s
0.91.03g0.94g1.02g1.84g1.47g1.36g1.50a2.15s11.97s1.15s2.40a2.58g1.56s2.19s2.76s|2.41s3.13s3.56s4.41s5.81s6.54s
1.01.05al.Olgl-12g1.42a1.69g1.40a1.00s1.91a2.28g0.86s1.73s2.58s1.31s1.94s2.41s1.89s2.77s3.26s3.09s4.73s5.64s
g - Groenevelda - approximations - Sergeev
to
TABLE V.I. (CONT.)
pMPa6
Gkg/m2s250
6 500
6 750
6 1000
6 1500
6 2000
6 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
1.1
o era
1.03a1.13g1.00s1.54g1.47a0.68s1.68s2.06g0.70s1.37s1.99s1.04s1.72s2.17s1.37s2.36s2.93s1.88s3.62s4.65s
1.20.94g1.08a1.14g0.62s1.42g1.55g0.52s1.25s1.87g0.59s1.16s1.65s0.80s1.51s1.97s0.94s1.96s2.58s1.07s2.63s3.69s
1.30.62s1.14a1.15a0.45s1.27s1.57a0.43s1.01s1.56s0.49s1.01s1.44s0.60s1.31s1.78s0.64s1.59s2.23s0.66s1.88s2.86s
1.40.44s1.08a1.15a0.36s0.99s1.62a0.36s0.86s1.31a0.40s0.90s1.28s0.45s1.13s1.59s0.46s1.28s1.91s0.46s1.38s2.22s
1.50.34s1.03a1.16a0.29s0.81s1.33a0.31s0.75s1.14a0.33s0.80s1.16s0.35s0.96s1.42s0.35s1.03s1.62s0.35s1.06s1.75s
1.60.28s0.83a1.16a0.25s0.69s1.12a0.27s0.67s1.02a0.28s0.72s1.06s0.29s0.82s1.27s0.29s0.85s1.38s0.29s0.86s1.43s
1.70.24s0.70a1.17a0.22s0.60a0.98a0.23s0.60s0.92a0.24s0.64s0.97a0.24s0.71s1.12s0.24s0.72s1.18s0.24s0.72s1.20s
1.80.20s0.61a1.01a0.19s0.54a0.87a0.20s0.55s0.84a0.21s0.58s0.89a0.21s0.61s1.00s0.21s0.62s1.03s0.21s0.62s1.03s
1.90.18s0.53a0.89a0.17s0.48a0.78a0.18s0.50a0.77a0.18s0.52s0.82a0.18s0.54s0.89s0.18s0.55s0.91s0.18s0.55s0.91s
2.00.16a0.48a0.79a0.16s0.44a0.71a0.16s0.46a0.72a0.16s0.47a0.76a0.16s0.49s0.80a0.16s0.49s0.81a0.16s0.49s0.81s
2.10.14a0.43a0.72a0.14a0.41a0.65a0.15a0.42a0.66a0.15a0.43a0.70a0.15s0.44a0.73a0.15s0.44a0.73a0.15s0.44a0.73a
2.20.13a0.39a0.65a0.13a0.37a0.60a0.13a0.39a0.62a0.13a0.40a0.65a0.13a0.40a0.66a0.13a0.40a0.67a0.13a0.40s0.67a
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
8
Gkg/m2s
250
8 500
8 750
8 1000
8 1500
8 2000
8 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.22.36g1.64g1.61g2.36g1.77g1.63g2.36g1.78g1.64g2.36g1.79g1.66g2.36g1.79g1.66g2.36g1.79g1.66g2.36g1.79g1.66g
-0.11.54g1.23g1.33g1.54g1.47g1.48g1.56g1.47g1.52g1.58g1.51g1.57g1.58g1.51g1.57g1.58g1.51g1.57g1.58g1.51g1.57g
0.00.89g0.98g1.08g0.98g1.17g1.30gl.Olg1.24g1.34g1.03g1.32g1.38g1.03g1.32g1.38g1.03g1.32g1.38g1.13g1.32g1.40g
0.10.75a0.88g1.02g0.89g1.10a1.16g0.94g1.09g1.21g0.98g1.18g1.28g1.19g1.18g1.31g1.49g1.36g1.46g2.33g1.99g2.04g
0.20.59g0.73g0.98a0.78g0.93gl . l lg0.98g1.07g1.19g1.14g1.21g1.29g1.74g1.50g1.54g2.53g2.08g1.94g4.33g3.24g2.87g
0.30.60g0.73g0.95g0.84g0.96g1.14g1.09g1.21g1.34g1.33g1.47g1.54g2.09g1.96g1.95g3.34g2.72g2.57g5.92g4.47g4.14g |
0.40.61g0.73g0.95g0.91g0.99g1.16g1.22g1.36g1.49g1.52g1.72g1.78g2.44g2.42g2.36g4.14g3.36g3.20g7.50g5.69g|5.32g
0.50.64g0.73a0.94g0.95g1.02g1.18g1.42g1.44g1.55g1.90g1.86g1.92g3.00a2.81g2.78g |5.60a4.28g |3.92g10.3g7.41g6.65g
0.60.66g0.75a0.93gl.OOg1.04g1.19g1.52a1.52g1.62g2.00a2.00g2.05g3.30a3.20g|3.20g5.24s5.20g4.64g10.5s9.13g7.98g
0.70.73g0.77g0.93g1.10al.lOg1.25a1.62a1.67g1.66g2.30a2.24g2.18g3.32s3.84g3.62g 14.90s |5.81s5.72g9.73s |10.9g9.05g
0.80.80g0.83g0.92g |1.20a1.16g1.30a |1.72a1.82g1.71g 12.25a2.48g |2.31g2.78s |3.89s4.03g|4.38s5.33s5.90s8.40s10.4s11.0g
0.90.84a0.93g|l.01g1.30a1.32a|l.36g1.80a2.17g|2.06g1.71s
|2.46a2.76g|2.38s3.26s3.99s3.65s4.79s5.40s6.59s8.85s10.0s
1.00.88a1.95gl . l lg1.35a1.45a1.55a1.43s2.30a2.41g1.26s2.43s2.72a1.95s2.85s3.46s2.80s4.14s4.85s4.50s7.02s8.43s
g - Groenevelda - approximations - Sergeev
tooo
TABLE V.I. (CONT.)
pMPa8
Gkg/m2s250
8 500
8 750
8 1000
8 1500
8 2000
8 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
1.10.92al.OOg1.15g1.44s1.48g1.63g0.94s2.26s2.24g1.01s1.88s2.68s1.50s2.47s3.08s1.95s3.42s4.24s2.60s5.16s6.70s
1.20.97g1.10a1.18g0.84s1.35g1.64g0.71s1.64s2.10g0.81s1.57s2.20s1.09s2.11s2.73s1.26s2.72s3.61s1.39s3.55s5.07s
1.30.78s1.30a1.94a0.59s1.30a1.84a0.57s1.30s1.99s0.65s1.34s1.89s0.77s1.76s2.40s0.81s2.10s3.00s0.82s2.40s3.73s
1.40.54s1.63a2.71a0.45s1.25s2.04a0.47s1.09s1.65s0.51s1.17s1.67s0.56s1.45s2.09s0.56s1.61s2.46s0.57s1.69s2.76s
1.50.41s1.23a2.05a0.37s1.01s1.64a0.39s0.94s1.42s0.41s1.02s1.49s0.42s1.20s1.81s0.42s1.26s2.01s0.43s1.27s2.12s
1.60.33s0.99a1.65a0.31s0.85s1.37a0.32s0.83s1.26a0.34s0.90s1.34s0.34s0.99s1.57s0.34s1.01s1.66s0.34s1.02s1.69s
1.70.28s0.83a1.37a0.27s0.73s1.18a0.28s0.74s1.13a0.28s0.79s1.21s0.28s0.84s1.36s0.28s0.84s1.40s0.28s0.84s1.41s
1.80.24s0.71a1.18a0.23s0.65a1.04a0.24s0.66s1.02a0.24s0.70s1.09s0.24s0.72s1.19s0.24s0.72s1.20s0.24s0.72s1.20s
1.90.21s0.62a1.03a0.21s0.58a0.93a0.21s0.60s0.93a0.21s0.62s0.99a0.21s0.63s1.04s0.21s0.63s1.05s0.21s0.63s1.05s
2.00.18s0.55a0.92a0.18s0.52a0.84a0.19s0.54a0.86a0.19s0.56s0.90a0.19s0.56s0.93s0.19s0.56s0.93s0.19s0.56s0.93s
2.10.17a0.50a0.83a0.17s0.48a0.77a0.17s0.49a0.79a0.17s0.50a0.82a0.17s0.50s0.84a0.17s0.50s0.84a0.17s0.50s0.84s
2.20.15a0.45a0.75a0.15a0.44a0.71a0.15s0.45a0.73a0.15s0.46a0.75a0.15s0.46a0.76a0.15s0.46a0.76a0.15s0.46s0.76s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
10
Gkg/m2s
250
10 500
10 750
10 1000
10 1500
10 2000
10 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.23.16g2.39g2.06g3.16g2.39g2.06g3.16g2.39g2.06g3.16g2.39g2.06g3.16g2.39g2.06g3.16g2.39g2.06g3.16g2.39g2.06g
-0.12.02g1.54g1.57g2.02g1.58g1.58g2.02g1.60g1.63g2.02g1.61g1.68g2.02g1.61g1.68g2.02g1.61g1.68g2.02g1.61g1.68g
0.00.86g0.93g1.07g1.08g1.29g1.36g1.08g1.33g1.41g1.08g1.38g1.47g1.08g1.38g1.47gl.lOg1.38g1.47g1.26g1.38g1.47g
0.10.77g0.82gl.OOg0.87g1.03g1.19g0.98g1.14g1.21gl.lOg1.26g1.23g1.53g1.33g1.41g1.90g1.62g1.69g2.89g2.40g2.26g
0.20.46g0.59g0.88g0.77g0.88g1.08gl.lOgl.lOg1.18g1.42g1.32g1.29g2.02g1.63g1.64g2.76g2.22g2.00g4.56g3.39g2.88g
0.30.48g0.60g0.89g0.82g0.89g
l.Hg1.20g1.18g1.28g1.58g1.47g1.46g2.23g2.06g1.99g3.48g2.78g2.62g |5.77g4.63g 14.32g |
0.40.50g0.61g0.90g0.86g0.90g1-14R
1.30g1.26g1.38g1.74g1.62g1.63g2.44g2.48g2.34g |4.20g3.34g ||3.23g6.99g|5.86g|5.76g
0.50.54g0.61g0.91g0.89g0.87g1.14g1.42g1.33g1.49g1.95g1.80g1.85g2.85a2.90g|2.81g6.45g|4.40g4.15g11.0g8.43g7.64g
0.60.58g0.62g0.93g0.89a0.88a1.16a1.55g1.40g1.60g2.16g1.98g2.07g3.30a3.31g3.28g7.73s5.46g5.07g15.0s11.Og9.52g
0.70.67g0.66g0.96g0.89a0.89g1.21g1.70a1.54g1.78g2.30a2.20g2.35g4.00a4.10g3.87g7.27s7.43g6.39g13.9s14.0g11.7g
0.80.75g0.71g0.99g0.90a0.95g1.29g1.80a1.68g1.96g2.50a2.42g2.62g|4.17s4.90g4.45g6.48s8.18s7.70g12.0s15.6sH.Og
0.90.85g 10.83g |1.08g1.10a |1.12g1.49g1.90a |1.94g2.19g2.42s2.77g2.89g3.58s4.87s5.54g5.38s7.30s8.27s8.46s13.2s15.2s
1.00.90a|0.95g1.17g11.20a1.29g1.69g|l.83s2.20g2.43g1.83s3.12g3.16g2.88s4.25s5.08s4.07s6.19s7.32s6.43s10.3s12.6s
g - Groenevelda - approximations - Sergeev
to
toO
TABLE V.I. (CONT.)
pMPa10
Gkg/m2s
250
10 500
10 750
10 1000
10 1500
10 2000
10 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.85a0.90g1.17g1.15a1.16g1.66g1.24s2.02g2.44g1.45s2.59s3.20g2.16s3.62s4.47s2.76s4.99s6.24s3.60s7.38s9.72s
1.20.82a0.86g1.18g1.02a1.04g1.64g0.94s1.86g2.45g1.14s2.15s2.94s1.50s3.00s3.88s1.70s3.81s5.14s1.83s4.85s7.06s
1.30.80a0.86a1.18a0.76s1.04a1.64a0.74s1.65s2.47s0.88s1.82s2.51s1.01s2.41s3.32s1.05s2.81s4.10s1.06s3.13s4.96s
1.40.68s0.86a1.18a0.57s1.04a1.64a0.66s1.38s2.05s0.67s1.55s2.19s0.71s1.91s2.80s0.71s2.07s3.22s0.71s2.13s3.52s
1.50.51s0.86a1.18a0.46s1.04a1.64a0.48s1.18s1.76s0.51s1.32s1.93s0.52s1.51s2.34s0.52s1.56s2.54s0.52s1.57s2.62s
1.60.40s0.86a1.18a0.38s1.03s1.64a0.39s1.03s1.55s0.41s1.13s1.70s0.41s1.22s1.96s0.41s1.23s2.04s0.41s1.23s2.06s
1.70.33s0.86a1.18a0.32s0.88s1.42a0.33s0.90s1.38s0.34s0.97s1.51s0.34s1.01s1.66s0.34s1.01s1.68s0.34s1.01s1.69s
1.80.28s0.84a1.18a0.27s0.78s1.24a0.28s0.80s1.24a0.29s0.84s1.34s0.29s0.86s1.42s0.29s0.86s1.43s0.29s0.86s1.43s
1.90.24s0.73a1.18a0.24s0.69s1.11a0.24s0.71s1.12a0.25s0.74s1.20s0.25s0.74s1.23 s0.25s0.74s1.24s0.25s0.74s1.24s
2.00.22s0.64a1.07a0.22s0.62a1.00a0.22s0.64s1.02a0.22s0.65s1.07s0.22s0.65s1.09s0.22s0.65s1.09s0.22s0.66s1.09s
2.10.19s0.58a0.96a0.19s0.56a0.91a0.19s0.57s0.93a0.20s0.58s0.97a0.20s0.59s0.98s0.20s0.59s0.98s0.20s0.59s0.98s
2.20.18s0.52a0.87a0.18s0.52a0.84a0.18s0.52a0.86a0.18s0.53s0.88a0.18s0.53s0.88a0.18s0.53s0.88s0.18s0.53s0.88s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
12
12
Gkg/m s
250
500
12 750
12 1000
12 1500
12 2000
12 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.24.37g3.49g3.06g4.37g3.49g2.11g4.37g3.49g3.06g4.37g3.49g3.06g4.37g3.49g3.06g4.37g3.49g3.06g4.37g3.49g3.06g
-0.12.78g2.20g2.11g2.78g2.20g1.07g2.78g2.20g2.11g2.78g2.20g2.1 lg2.78g2.20g2.11g2.78g2.20g2.11g2.78g2.20g2.11g
0.00.90g0.88g1.07g0.87a0.90g1.02g0.94g0.93g1.07g0.95g0.96g1.08g1.04g1.02g1.15g1.15g1.12g1.26g1.33g1.30g1.45g
0.10.80g0.84g1.02g0.83a0.85g0.95g1.06g0.94g1.07gl-27g1.04g1.13g2.05g1.45g1.42g2.90g1.88g1.50a5.11g3.27g2.30a
0.20.34g0.57g0.86g0.74g0.76g1.02g1.28g1.03g1.18g1.83g1.30g1.42g2.90g1.79g1.53g3.78g2.14g1.71g7.12g4.58g2.97g
0.30.42g0.59g0.88g0.79g0.79gl.lOg1.33g1.07g1.24g1.86g1.34g1.47g3.30g2.17g1.90g
0.40.49g0.61g0.91g0.84g0.82gl.lOg1.37gl . l lg1.31g1.90g1.39g1.52g3.70g2.55g2.28g
4.99g |6.20g3.06g|2.52g8.49g6.62g4.98g
3.97g3.32g9.86g8.67g6.98g
0.50.62a0.65g0.93g1.03g0.80gl.lOg1.64g1.21g |1.42g2.26g1.63gl-74g4.18g3.19g3.03g7.82g5.28g4.93g13.6g11.3g10.2g
0.60.67a0.68g0.96g
1.21g0.77g1.19g1.91g1.32g1.53g2.62g1.87g
0.70.70a0.72g|0.98g1.44g
|0.88g1.29g2.23g1.56g1.80g
0.80.75a0.76gl.OOg1.66g0.99g1.48g2.54g1.81g2.07g
3.02g ||3.42g2.25g
1.96g |2.41g4.65g3.84g3.78g9.44g6.58g6.53g17.3g13.9g13.4g
5.68g4.82g4.73s10.5s8.29g8.54g19.3s15.8g16.2g
2.63g2.86g6.22s5.81g5.67g9.41slO.Og10.5g16.8s17.6g18.9g
0.9 11.00.78a j|0.75a0.80g J0.83g1.06g1.70g1.17g1.68g2.70g2.16g2.49g3.41s3.15g3.50g5.35s7.02g7.11g7.83s11.2s12.0g13.3s19.4s20.2g
1.12g1.73g1.36g1.50g2.58s2.51g2.91g2.69s3.67g4.14g4.28s6.53s7.77s5.91s9.41s11.3s9.04s15.1s18.8s
g - Groenevelda - approximations - Sergeev
ON
K>TABLE V.I. (CONT.)
pMPa12
Gkg/m2s
250
12 500
12 750
12 1000
12 1500
12 2000
12 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.73g0.80g1.12g1.40g1.16g1.45a1.80s2.18g2.68g2.14s3.15g3.73g3.15s5.48s6.78s3.94s7.43s9.46s4.99s10.6s14.3s
1.20.66g0.76g1.13g1.15g0.96g1.32a1.37s1.90g2.48g1.64s2.73g3.38g2.13s4.41s5.76s2.35s5.51s7.56s2.48s6.78s10.1s
1.30.66a0.76a1.13a0.98s0.96a1.32a1.06s1.90a2.43a1.22s2.57s3.19a1.38s3.42s4.78s1.41s3.90s5.80s1.42s4.21s6.78s
1.40.66a0.76a1.13a0.74s0.96a1.32a0.83s1.88s2.38a0.89s2.14s3.01s0.93s2.59s3.88s0.93s2.75s4.37s0.93s2.79s4.64s
1.50.65s0.76a1.13a0.59s0.96a1.32a0.64s1.59s2.34s0.66s1.77s2.59s0.67s1.98s3.12s0.67s2.01s3.31s0.67s2.02s3.36s
1.60.50s0.76a1.13a0.48s0.96a1.32a0.51s1.35s2.03s0.51s1.46s2.24s0.52s1.55s2.52s0.52s1.55s2.58s0.52s1.56s2.59s
1.70.41s0.76a1.13a0.40s0.96a1.32a0.42s1.16s1.79s0.42s1.22s1.93s0.42s1.25s2.07s0.42s1.25s2.09s0.42s1.26s2.09s
1.80.34s0.76a1.13a0.34s0.95s1.32a0.35s1.01s1.58s0.35s1.04s1.68s0.35s1.05s1.74s0.35s1.05s1.75s0.35s1.05s1.75s
1.90.30s0.76a1.13a0.29s0.84s1.32a0.30s0.88s1.41s0.30s0.89s1.47s0.30s0.90s1.50s0.30s0.90s1.50s0.30s0.90s1.50s
2.00.26s0.76a1.13a0.26s0.75s1.20a0.26s0.78s1.27a0.26s0.78s1.30s0.26s0.79s1.31s0.26s0.79s1.31s0.26s0.79s1.31s
2.10.23s0.69a1.13a0.23s0.68s1.09a0.23s0.70s1.14a0.23s0.70s1.16s0.23s0.70s1.16s0.23s0.70s1.16s0.23s0.70s1.16s
2.20.21s0.62a1.03a0.2 IS0.61s1.00a0.21s0.63s1.04a0.21s0.63s1.04a0.21s0.63s1.05s0.21s0.63s1.05s0.21s0.63s1.05s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
14
Gkg/m2s
250
14 500
14 750
14 1000
14 1500
14 2000
14 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.23.53g4.31g3.47g5.53g4.31g3.47g5.53g4.31g3.47g5.53a4.31g3.47g5.53g4.31g3.47g5.53g4.3 lg3.47g5.53g4.31g3.47g
-0.13.56g2.68g2.39g3.56g2.68g2.39g3.56g2.68g2.39g3.56g2.68g2.39g3.56g2.68g2.39g3.56g2.68g2.39g3.56g2.68g2.39g
0.01.13g0.91g1.21g1.13g0.92g1.21g1.13g0.95g1.21g1.13g0.99g1.21g1.22g1-lOg1.26g1.31g1.23g1.35g1.54g1.45g1.57g
0.10.94g0.89gl . l lg0.97g0.90gl . l lg1.32g1.04g1.19g1.66g1.17g1.27g2.93g1.79g1.78g4.23g2.49g2.00a6.91g4.64g2.90a
0.20.42g0.60g0.88g0.87g0.79g0.99g1.45gl.Olg1.26g2-04g1.22g1.52g3.74g2.05g1.92g5.36g2.74g2.26g9.29g6.10g4.25g
0.30.49g0.61g0.90g0.98g0.80g1.07g1.61g1.05g1.31g2.24g1.30g1.55g4.17g2.48g2.03g6.52g3.93g3.28g11.0g8.60g6.58g
0.40.56g0.62g0.93g1.08g0.81g1.15g1.76g1.09g1.36g2.44g1.37g1.57g4.60g2.92g2.69g7.67g5.12g4.30g12.7g11.lg8.91g
0.50.78g0.70g0.97g1.30g0.88g1.17g2.06g1.31g1.56g2.81g1.74g1.94g5.12g3.77g3.77g9.20g6.71g6.40g16.1g13.9g12.7g
0.6l.OOg0.76gi.oig1.53g0-95g1.19g2.35g1.53gl-75g3.17g2.10g2.30g5.64g4.63g4.86g10.7g8.29g8.49g19.5g16.6g16.6g
0.71.03g0.83g1.04g1.50e1.12g1.32g2.65g1.89g2.07g3.57g2.66g2.82g6.44g5.88g6.25g12.8glO.lg10.9g22.0g18.2g20.2g
0.81.05g0.88g1.07g1.40e |1.28g1.45g2.95g2.25g2.39g3.98g3.22g3.34g7.24g7.14g7.64g13.2s11.9g13.4g22.5s20.4g23.9g
0.90.98g |0.91g1.12g
|l.30e1.50g1.64g3.07g2.69g2.89g4.21g3.86g4.14g7.81s8.33g9.17g11.1s14.5g15.0g18.0s25.0g25.5g
1.0|0.90g0.94g1.18g1.30e1.73g1.83g3.20g3.13g3.39g4.07s4.54g4.94g6.28s9.93g10.7g8.41s14.2s16.7g12.4s21.9s27.1g
g - Groenevelda - approximations - Sergeev
toON
TABLE V.I. (CONT.)
pMPa14
Gkg/m s
250
14 500
14 750
14 1000
14 1500
14 2000
14 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.10.91e0.90g1.18g1.30e1.46g1.74g2.56g2.70g3.07g3.26s3.88g4.36g4.61s8.16g8.91g5.61s11.1s12.9g6.91s15.4s18.8g
1.20.84e0.86g1.19g1.30e1.22g1.64g2.04s2.32g2.78g2.47s3.33g3.86g3.06s6.67s7.52g3.32s8.11s10.3g3.44s9.65s13.8g
1.30.81e0.86a1.19a1.20e1.22a1.64a1.56s2.32a2.78a1.78s3.23a3.86a1.94s5.02s7.16s1.96s5.58s8.49s1.97s5.89s9.60s
1.40.78e0.86a1.19aUOe1.22a1.64a1.18s2.32a2.78a1.25s3.12s3.86a1.28s3.67s5.61s1.28s3.82s6.16s1.28s3.85s6.40s
1.50.72a0.86a1.19a0.82s1.22a1.64a0.89s2.23s2.78a0.90s2.49s3.70s0.91s2.70s4.34s0.91s2.73s4.51s0.91s2.73s4.55s
1.60.66s0.86a1.19a0.66s1.22a1.64a0.68s1.85s2.78s0.69s1.99s3.10s0.69s2.06s3.39s0.69s2.06s3.43s0.69s2.06s3.44s
1.70.53s0.86g1.19a0.53s1.22a1.64a0.54s1.55s2.40s0.54s1.61s2.60s0.54s1.63s2.71s0.54s1.63s2.72s0.54s1.63s2.72s
1.80.44s0.86g1.19a0.44s1.22a1.64a0.45s1.31s2.08s0.45s1.34s2.19s0.45s1.34s2.23s0.45s1.34s2.23s0.45s1.34s2.24s
1.90.37s0.86a1.19a0.38s1.08a1.64a0.38s1.12s1.82s0.38s1.13s1.87s0.38s1.13s1.89s0.38s1.13s1.89s0.38s1.13s1.89s
2.00.32s0.86a1.19a0.33s0.95a1.53a0.33s0.98s1 60s0.33s0.98s1.63s0.33s0.98s1.63s0.33s0.98s1.63s0.33s0.98s1.63s
2.10.29s0.85a1.19a0.29s0.85a1.38a0.29s0.86s1.42s0.29s0.86s1.44s0.29s0.86s1.44s0.29s0.86s1.44s0.29s0.86s1.44s
2.20.26s0.76a1.19a0.26s0.76a1.25a0.26s0.77s1.28s0.26s0.77s1.28s0.26s0.77s1.28s0.26s0.77s1.28s0.26s0.77s1.28s
g - Groenevelda - approximations - Sergeev
TABLE VJ. (CONT.)
pMPa
16
Gkg/m2s
250
16 500
16 750
16 1000
16 1500
16 2000
16 3000
qMW/ni2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.26.41g4.63g3.29g6.41s4.63g3.29g6.41g4.63g3.29g6.41g4.63g3.29g6.41g4.63g3.29g6.41g4.63g3.29g6.41g4.63g3.29g
-0.14.25g2.90g2.43g4.25s2.90g2.43g4.25g2.90g2.43g4.25g2.90g2.43g4.25g2.90g2.43g4.25g2.90g2.43g4.25g2.90g2.43g
0.01.44g0.96g1.39g1.44g0.97g1.39g1.44gl.Olg1.39g1.44g1.06g1.39g1.46g1.21g1.41g1.52g1.36g1.46g1.80g1.63g1.72g
0.11.12g0.93g1.21g1.13g0.96g1.21g1.50a0.99a1.34g2.00a1.08a1.47g4.05g2.26g2.27g5.82g3.38g3.35g9.04g6.31g3.90a
0.20.55g0.64g0.90g1.03g0.81g1.06g1.57g0.96g1.29g2.11gl.lOg1.52g4.70g2.56g2.52g7.46g3.91g3.19g12.3g6.54g6.12g
0.30.62g0.64g0.93g1.24g0.84g1.13g1.93g1.07g1.40g2.62g1.30g1.66g5.31g3-llg2.99g8.53g5.43g4.58g14.4g11.4g
0.40.70g0.64g0.95g1.46g0.88g1.20g2.29g1.19g
0.5 10.60.92g J1.14g0.75g j|0.86gl.OOg1.68g1.06g1.27g2.63g1.54g
1.50g 1.81g3.13g 3.58g1.49g l|2.01g1.80g |2.33g5.92g3.66g3.46g9.60g6.94g5.97g16.6g14.4g
|8.86g | l l .6g
6.36g4.68g4.88g11.0g8.74g8.23g19.4g17.4g15.7g
1.06g1.91g1.24g1.34g2.70a1.89g2.12g|4.04g2.53g2.90g6.80g5.70g6.29g12.4g10.5g10.7g22.2g20.5g19.8g
0.71.15g0.93gl.lOg2.10e1.44g1.49g2.80e2.38g2.54g4.62g3.32g3.59g7.51g7.17g8.07a14.0g12.6g13.1g24.5g23.3g24.2g
0.8 10.91.16g0.98g1.14g2.00e1.63g1.63g3.00e2.87g2.95g5.20g4.11g4.27g8.21g8.65g9.85g15.5g14.6g15.6g27.0a26.1g28.6g
1.14g1.03g1.20g2.00e1.91g1.82g3.20e3.41g3.43g5.48g4.92g5.05g10.4glO.lgH.lg15.5s18.5g17.8g24.1s22.0a3L8g
1.0l . l lg1.06gl-25g2.00e2.00a2.01g4.02g3.86g3.92g5.75g5.75g5.82g9.17s11.6g12.4g11.9s17.7a20.0g17.0s31.5s35.0g
g - Groenevelda - approximations - Sergeev
OS
toONO\
TABLE V.I. (CONT.)
pMPa16
Gkg/m s
250
16 500
16 750
16 1000
16 1500
16 2000
16 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.11.08gl.Olg1.26g2.00e1.87g1.91g3.50g3.38g3.59g4.64g4.87g5.23g6.79s9.94g10.6g8.06s16.9s16.2g9.64s22.4s25.6g
1.21.05g0.97g1.27g1.90e1.58g1.82g3.17s2.90g3.29g3.80s4.14g4.70g4.53s8.08g9.05g4.82s12.3s13.5g4.94s14.2s19.6g
1.31.05a0.97a1.27a1.70e1.58a1.82a2.42s2.90a3.29a2.70s4.14a4.70a2.87s7.72s8.83a2.89s8.39s13.1s2.90s8.69s14.3s
1.41.05a0.97a1.27a1.60e1.58a1.82a1.78s2.90a3.29a1.86s4.14a4.70a1.89s5.51s8.62s1.89s5.65s9.25s1.89s5.68s9.46s
1.51.05a0.97a1.27a1.40e1.58a1.82a1.30s2.90a3.29a1.32s3.75s4.70a1.32s3.96s6.45s1.33s3.98s6.61s1.33s3.98s6.64s
1.60.94s0.97a1.27a1.20e1.58a1.82a0.98s2.73s3.29a0.98s2.89s4.59s0.98s2.94s4.88s0.98s2.95s4.91s0.98s2.95s4.92s
1.70.74s0.97a1.27a0.75s1.58a1.82a0.76s2.22s3.29a0.76s2.27s3.71s0.76s2.28s3.80s0.76s2.29s3.81s0.76s2.29s3.81s
1.80.60s0.97a1.27a0.61s1.58a1.82a0.61s1.82s2.93s0.61s1.84s3.04s0.61s1.84s3.07s0.61s1.84s3.07s0.61s1.84s3.07s
1.90.50s0.97a1.27a0.51s1.48s1.82a0.51s1.52s2.49s0.51s1.53s2.54s0.51s1.53s2.54s0.51s1.53s2.55s0.51s1.53s2.55s
2.00.43s0.97a1.27a0.43s1.28s1.82a0.43 s1.30s2.15s0.43s1.30s2.16s0.43s1.30s2.17s0.43s1.30s2.17s0.431.30s2.17s
2.10.37s0.97a1.27a0.38s1.12s1.82a0.38s1.13s1.87s0.38s1.13s1.88s0.38s1.13s1.88s0.38s1.13s1.88s0.38s1.13s1.88s
2.20.33s0.97a1.27a0.33a0.99s1.63a0.33s0.99s1.66s0.33s0.99s1.66s0.33s1.00s1.66s0.33s1.00s1.66s0.33s1.00s1.66s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
18
Gkg/m s
250
18 500
18 750
18 1000
18 1500
18 2000
18 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.27.36g5.29g4.22g7.37g5.79g4.36g7.37g5.79g4.36g7.37g5.79g4.36g7.37g5.79g4.36g7.37g5.79g4.36g7.37g5.59g4.36g
-0.14.92g3.35g3.16g4.92g3.49g3.16g4.92g3.49g3.16g4.92g3.49g3.16g4.92g3.49g3.16g4.92g3.49g3.16g4.92g3.49g3.16g
0.01.91g1.14g1.45g1.91g1.15g1.45g1.91g1.18g1.45g1.91g1.22g1.45g1.91g1.36g1.51g1.95g1.59g1.64g2.14g1.94g2.00g
0.11.41g1.03g1.24g1.47gl.lOg1.29g2.05a1.19a1.48a2.35a1.35a1.67a5.40g3.35g3.07g7.92g5.33g4.59g12.0g9.56g7.36g
0.20.73g0.70g0.94g1.50g0.94g1.15g2.16g1.21g1.52g2.81g1.48g1.90g6.06g4.42g4.32g10.3g7.82g6.10g16.1g15.2g10.5g
0.30.79g0.71g0.97g1.72g0.97g1.22g2.79g1.46g1.77g3.87g1.96g2.32g7.60g5.54g5.24g12.0glO.lg8.09g19.0g18.6g13.5g
0.40.84g0.72gl.OOg1.94gl.Olg1.29g3.43g1.72g2.01g4.92g2.43g2.73g9.13g6.66g6.16g13.7g12.3glO.lg21.8g22.1g |16.6g
0.51.03g0.84g1.06g2.21g1.28g1.41g3.45a1.92a2.43g5.91g3.20g3.44g10.3g8.23g7.87g15.5g14.9g12.8g24.5g|25.9g21.1g
0.61.22g
|0.86g1.12g2.48g1.54g1.53g3.47a |2.16g2.84g6.20e3.97g4.15g11.4g9.80g9.59g17.2g17.5g15.6g27.1g |29.7g25.6g
0.71.25g1.04g1.17g2.68g |1.79g1.69g
|3.50e3.46g3.23g6.70e5.12g4.77g12.9g11.6g11.2g18.8g19.9g18.1g
|29.1g33.1g30.6g
0.81.27g1.12g1.22g
|2.50e2.04g1.86g4.10e4.16g3.62g9.27g6.27g5.39g14.3g13.4g12.8g20.3g22.3g20.5g31.lg36.4g35.7g
0.91.34g1.18g1.28g2.50e2.38g2.06g4.60e4.86g4.34g9.97g7.33g6.63g16.5g14.7g13.9g23.9s25.6g22.2g34.0g42.0g38.4g
1.01.40g1.24g1.34g2.50e2.72g2.26g5.00e5.56g5.06g10.6s8.39g7.87g14.9s16.0g14.9g18.8s28.8g24.0g25.9s47.6g41.0g
g-Groenevelda - approximations - Sergeev
toCT\00
TABLE V.I. (CONT.)
pMPa18
Gkg/m s
250
18 500
18 750
18 1000
18 1500
18 2000
18 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X1.11.36g1.21g1.35g2.60e2.40g2.14g4.50e4.89g4.69g8.72s7.20g7.19g11.3s13.7g13.0g13.1s23.4g20.4g15.2s35.1g32.3g
1.21.31g1.18g1.36g2.50e2.10g2.02g3.80e4.28g4.33g6.69s6.36g6.57g7.69s11.9gH.5g8.06s19.6g17.4g8.18s23.8s26.1g
1.31.31a1.18a1.36a2.30e2.10a2.02a3.00e4.28a4.33a4.78s6.36a6.57a4.98s10.8a11.5a5.01s14.7s16.9a5.02s15.0s24.9s
1.41.31a1.18a1.36a2.00e2.10a2.02a2.30e4.28a4.33a3.29s6.36a6.57a3.31s9.79s11.5a3.32s9.95s16.4s3.32s9.97s16.6s
1.51.31a1.18a1.36a1.80e2.10a2.02a2.00e4.28a4.33a2.30s6.36a6.57a2.31s6.91s11.4s2.31s6.93s11.5s2.31s6.94s11.6s
1.61.31a1.18a1.36a1.60e2.10a2.02a1.67s4.28a4.33a1.67s4.99s6.57a1.68s5.03s8.36s1.68s5.04s8.40s1.68s5.04s8.40s
1.71.21s1.18a1.36a1.40e2.10a2.02a1.26s3.73s4.33a1.27s3.79s6.25s1.27s3.80s6.33s1.27s3.81s6.35s1.27s3.81s6.35s
1.80.96s1.18a1.36a1.20e2.10a2.02a0.99s2.96s4.33a0.99s2.97s4.94s0.99s2.98s4.96s0.99s2.98s4.97s0.99s2.98s4.97s
1.90.79s1.18a1.36a0.80s2.10a2.02a0.80s2.40s3.96s0.80s2.40s4.00s0.80s2.40s4.00s0.80s2.41s4.01s0.80s2.41s4.01s
2.00.66s1.18a1.36a0.66s1.97s2.02a0.66s1.99s3.31s0.66s1.99s3.32s0.66s1.99s3.32s0.67s2.00s3.33s0.67s2.00s3.33s
2.10.56s1.18a1.36a0.56s1.68s2.02a0.56s1.69s2.81s0.56s1.69s2.81s0.56s1.69s2.82s0.56s1.69s2.82s0.56s1.69s2.82s
2.20.49s1.18a1.36a0.49s1.46s2.02a0.49s1.46s2.43s0.49s1.46s2.43s0.49a1.46s2.43s0.49s1.46s2.44s0.49s1.46s2.44s
g - Groenevelda - approximations - Sergeev
TABLE V.I. (CONT.)
pMPa
20
Gkg/m s
250
20 500
20 750
20 1000
20 1500
20 2000
20 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
-0.28.40g6.31g6.25g8.41g7.79g|6.67g8.41g7.79g6.67g8.41g7.79g6.67g8.41g7.79g6.67g8.41g7.79g6.67g8.41g7.79g6.67g
-0.15.58g4.04g4.57g5.58g4.44g4.37g5.58g4.44g|4.57g5.58g4.44g4.57g |5.58g4.44g4.57g5.58g4.44g4.57g5.58g4.44g4.57g
0.02.56g1.46g1.38g |2.56g1.46g1.38g2.56g1.46g1.38g2.56g1.46g
|l.38g2.56g1.56g1.56g2.59g1.90g1.91g2.56g2.39g2.41g
0.11.80g1.17g|l.20g2.00g1.26g |1.28g3.19g1.60a1.79g3.36a1.90a2.30g6.96g5.09g4.18g |10.6g8.33g6.36g15.8g14.4g10.3g
0.20.97g0.79gl.OOg2.28g|l.l6g1.25g3.22g1.75g |1.94g4.15g2.35g2.64g7.83g7.69g|7.29g14.0g14.4g ,11.0g |20.8g26.1g17.7g
0.30.98g0.82g |1.03g2.40g1.19g1.33g4.20g|2.23g2.42g5.99g3.26g3.31g11.0g9.80g9.03g17.0g17.9g
|l3.8g24.6g30.2g20.6g |
0.40.99g|0.84g1.07g2.52g1.21g1.40g5.17g2.70g2.89g7.82g4.18g4.38g14.2g11.9g10.8g20.0g21.3g16.6g28.4g34.4g|23.8g
0.51.12g0.95g1.12g2.88g1.54g1.58g6.33g3.42g3.40g9.76g5.31g5.21g16.9g14.4g12.8g22.7g25.2g ]
20.0g31.4g39.3g28.8g
0.61.24g1.06g1.19g3.24g |1.87g1.76g7.47g4.15g3.90g11.7g6.43g6.05g19.6g16.9g14.7g25.3g29.2g23.3g34.4g |44.3g33.8g
0.71.32g1.16g1.24g
|3.47g2.18g1.94g7.80a5.13g4.15g14.0g8.07g6.37g22.5g19.1g15.6g27.2g32. lg25.6g|35.9g47.8g39.5g
0.81.40g |1.26g1.29g3.71g2.50g2.12g8.20e6.11g4.40g16.2g9.71g6.68g25.4g21.3g16.5g29.2g34.9g27.9g37.4g51.4g45.1g
0.9|l.58g1.37g1.38g3.96g2.92g2.35g9.30e7.02g5.62g17.7g
H.lg8.88g27.3g22.2g17.4g30.4g35.7g28.4g39.2g51.9g45.2g
1.01.76g1.48g1.46g4.21g3.35g2.58g9.30e7.93g6.83g19.2g12.5g11.lg29.1g23.1g18.2g31.8g36.4g28.8g41.0g52.4g45.3g
g - Groenevelda - approximations - Sergeev
N>
too
TABLE V.I. (CONT.)
pMPa
20
Gkg/m2s
250
20 500
20 750
20 1000
20 1500
20 2000
20 3000
qMW/m2
0.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.00.20.61.0
X
1.11.68g1.48g1.47g4.15a3.08g2.42g8.10e7.28gOOOlg16.8g11.4g10.4g24.1g20.2g16.7g25.5g31.6g25.6g32.7g46.3g39.4g
1.21.59g1.49g1.47g4.10e2.82g2.27g6.40e6.65g6.00g14.8g10.4g9.68g20.3g17.6g15.2g20.8g27.4g22.6g26.7s41.lg34.0g
1.31.59a1.49a1.47a3.80e2.82a2.27a5.10e6.65a6.00a13.5a10.4a9.68a18.1s17.6a15.2a18.2s26.5a22.6a18.2s39.1a34.0a
1.41.59a1.49a1.47a3.30e2.82a2.27a4.10e6.65a6.00a12.3s10.4a9.68a12.3s17.6a15.2a12.4s25.7a22.6a12.4s37.1s34.0a
1.51.59a1.49a1.47a2.80e2.82a2.27a3.40e6.65a6.00a8.28s10.4a9.68a8.30s17.6a15.2a8.31s24.9s22.6a8.32s24.9s34.0a
1.61.70e1.49a1.47a2.40e2.82a2.27a2.90e6.65a6.00a5.64s10.4a9.68a5.65s17.0s15.2a5.66s17.0s22.6a5.66s17.0s28.3s
1.71.50e1.49a1.47a2.40a2.82a2.27a2.60e6.65a6.00a3.95s10.4a9.68a3.96s11.9s15.2a3.96s11.9s19.8s3.97s11.9s19.8s
1.81.40e1.49a1.47a2.40a2.82a2.27a2.10e6.65a6.00a2.87s8.60s9.68a2.87s8.61s14.4s2.87s8.62s14.4s2.88s8.63s14.4s
1.91.40a1.49a1.47a2.14s2.82a2.27a1.80e6.45s6.00a2.15s6.46s9.68a2.16s6.47s10.8s2.16s6.48s10.8s2.16s6.48s10.8s
2.01.40a1.49aI Ala.1.67s2.82a2.27a1.60e5.01s6.00a1.67s5.02s8.36s1.67s5.02s8.37s1.68s5.03s8.38s1.68s5.03s8.38s
2.11.33s1.49a1.47a1.33s2.82a2.27a1.30e4.00s6.00a1.34s4.01s6.68s1.34s4.01s6.69s1.34s4.02s6.69s1.34s4.02s6.70s
2.21.09s1.49a1.47a1.09s2.82a2.27a1.20e3.28s5.47s1.10s3.29s5.48s1.10s3.29s5.48s1.10s3.29s5.49s1.10s3.29s5.49s
g - Groenevelda - approximations - Sergeev
Appendix VI
CIAE METHOD FOR DETERMINING FILMBOILING HEAT TRANSFER
The non-equilibrium factor is defined as [Plummer (1976)]:
and
xe-xc
where
kd,kq and kx are the correction factors to account for the effects of tube diameter,
heat flux and local quality, respectively.
0.008J
The k0 is a function of P, G and XQ and its values are obtained from the calculation onthe mechanistic model [Chen and Chen (1994)] and provided in this appendix in tabular form.
Then the vapour temperature is calculated by the heat balance equation:
= xs- 1
Hfg
Finally, the wall temperature is obtained by:
T -T q
W ~ " V ( \
[K+K)with
K = Nuf0F
and
Nu f0 = 0.0175 • Ref 0812 Prf °-333 [Chen and Chen (1996a)].
where the subscript /refers to properties evaluated at the film temperature, Tf = ~\TW + Tvj
and P is in bar.
The non-equilibrium is primarily determined by the inlet flow condition, as accountedby the k0, but the effect of P and X are less important. With Kq - 1 and Kx=\ and without
considering the radiation heat transfer (hr = 0). 2192 CIAE film boiling data (L>0.1m and
(G-X)2DWe = > 10) are calculated for the wall temperature with an average error of 1.4%
PgCT
and a RMS error of 7.2%.
271
TABLE VI.I. THE TABLE OF NON-EQUILIBRIUM FACTORS "k0" OF CHENAND CHEN (1998)
p
(MPa)
0.1
0.3
0.5
1.0
2.0
4.0
6.0
G
(kg/m2s)255010020040060010001500
25501002004006001000
1500
255010020040060010001500
2550100
2004006001000
1500
25501002004006001000
150025501002004006001000
1500
255010020040060010001500
0.00.68
0.690.74
0.780.810.82
0.830.840.72
0.74
0.760.78
0.80
0.820.83
0.830.74
0.760.78
0.790.800.810.820.82
0.760.770.79
0.800.80
0.800.81
0.82
0.81
0.810.810.810.82
0.83
0.83
0.81
0.810.82
0.830.83
0.84
0.81
0.820.82
0.830.840.84
0.05
0.58
0.590.63
0.730.81
0.880.92
0.96
0.60
0.610.64
0.710.78
0.800.86
0.90
0.56
0.580.600.62
0.670.800.84
0.870.62
0.630.66
0.660.68
0.770.80
0.84
0.68
0.710.690.70
0.730.74
0.81
0.72
0.72
0.72
0.770.78
0.79
0.72
0.730.76
0.770.78
0.80
0.10.44
0.450.60
0.750.86
0.920.960.98
0.45
0.460.540.66
0.79
0.84
0.890.950.44
0.450.500.63
0.650.81
0.860.92
0.530.560.58
0.600.66
0.74
0.790.85
0.65
0.680.650.68
0.710.74
0.80
0.62
0.63
0.630.73
0.760.78
0.63
0.64
0.670.700.74
0.77
Xcr0.20.31
0.420.64
0.78
0.890.940.98
0.990.40
0.430.57
0.700.81
0.880.92
0.960.35
0.380.440.64
0.770.83
0.890.94
0.420.460.53
0.500.65
0.730.82
0.87
0.54
0.62
0.530.560.64
0.74
0.80
0.45
0.50
0.55
0.610.71
0.78
0.450.52
0.550.60
0.690.76
0.40.280.48
0.680.77
0.900.960.98
0.990.31
0.360.52
0.680.83
0.90
0.93
0.980.29
0.330.40
0.610.74
0.830.900.95
0.250.280.33
0.450.62
0.71
0.800.84
0.320.350.52
0.610.71
0.80
0.30
0.34
0.490.56
0.70
0.77
0.35
0.42
0.510.58
0.680.74
0.60.260.36
0.560.74
0.890.95
0.980.99
0.170.300.47
0.63
0.75
0.860.92
0.970.23
0.22
0.360.56
0.700.800.880.94
0.100.140.22
0.380.56
0.63
0.730.82
0.16
0.280.44
0.530.65
0.71
0.21
0.26
0.41
0.480.60
0.69
0.200.25
0.390.48
0.610.68
0.80.180.25
0.44
0.600.81
0.900.970.98
0.100.160.33
0.47
0.630.75
0.87
0.950.12
0.14
0.260.400.54
0.670.78
0.890.08
0.090.130.250.40
0.45
0.57
0.70
0.08
0.160.290.360.47
0.55
0.08
0.14
0.26
0.330.42
0.53
0.110.14
0.26
0.310.43
0.53
1.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.00.0
0.00.00.00.00.00.0
0.00.00.00.00.00.0
0.00.00.00.00.00.0
272
Appendix VII
TWO-PHASE VISCOSITY MODELS FOR USE IN THEHOMOGENEOUS MODEL FOR TWO-PHASE PRESSURE DROP
McAdams (1942)
1 = JL + IlliO (1)M MG ML
Cicchitti (1960)
M = * MG + ( l -x) / /L (2)
Owens (1961)
M= ML (3)
Dukler (1964)
/ / = (1-P) ML + PMG (4)
Weisman and Choe (1976)
suggested the following equation for a frothy mixture
f 2.5 1 (5)
l-39/?/64j
and
1 V (6)+ (MC -
for a misty mixture at high void fraction. Choe (1975) suggested a value of 3 for the constant kand |Oc is the mean of ^G and HL-
Beattie and Whalley (1982)
ju= ML{\-/3)(\ + 2.5 0) + MGP (7)
Beattie and Whalley also proposed some flow pattern specific models. For example, forbubbly flow
<u= juL (1 + 2.5J3) (8)
and for annular flow
273
Appendix VIII
TWO-PHASE PRESSURE DROP CORRELATIONSBASED ON THE MULTIPLIER CONCEPT
Martinelli-Nelson (1948)
Based on tests conducted using steam-water mixture, values of (|)LO2 are presented ingraphical form as a function of pressure and quality by Martinelli and Nelson. Table VIII.I hasbeen obtained from these graphs.
Accuracy of this correlation at high mass fluxes, i.e. G > 1500 kg/m2s is not good.
Lockhart-Martinelli (1949)
The authors defined a parameter %, generally known as the Martinelli parameter, as below.
, = £ = fdP/dz)L
& (dp/dz)G K)
The following expressions were obtained for the two phase multiplier
£ = 1 + - + (2)X X
2$1 = i+ cz+ z
Values of C are dependent on the nature of flow (i.e. laminar or turbulent) of individualphases and are given below:
C =20 for turbulent flow of both phases= 12 for laminar liquid and turbulent gas flow= 10 for turbulent liquid and laminar gas flow= 5 for laminar flow of both phases.
This correlation is mainly based on tests conducted at near atmospheric pressure with massvelocities less than 1500 g/m2s.
Lottes-FHnn (1956)
Correlation for annular upward flow through heated channels is
( 4 )
i -
Thorn (1964)
Thorn presented the two-phase friction multiplier, <J)LO25 in tabular and graphical form as a
function of quality and pressure for water-steam mixtures (Table VIILII).
274
TABLE VIII.I. VALUES OF THE TWO-PHASE FRICTIONAL MULTIPLIER <t>L02 FOR
STEAM-WATER SYSTEM FROM THE MARTINELLI-NELSON MODEL
Steam
Quality
0.01
0.05
0.10
0.20
0.30
0.40
0.50
0.60
0.70
0.80
0.90
1.00
Pressure (bar)
1.01
5.6
30.0
69.0
150.0
245.0
350.0
450.0
545.0
625.0
685.0
720.0
525.0
6.89
3.5
15.0
28.0
56.0
83.0
115.0
145.0
174.0
199.0
216.0
210.0
130.0
34.4
1.8
5.3
8.9
16.2
23.0
29.2
34.9
40.0
44.6
48.6
48.0
30.0
68.9
1.6
3.6
5.4
8.6
11.6
14.4
17.0
19.4
21.4
22.9
22.3
15.0
103.0
1.35
2.4
3.4
5.1
6.8
8.4
9.9
11.1
12.1
12.8
13.0
8.6
138.0
1.20
1.75
2.45
3.25
4.04
4.82
5.59
6.34
7.05
7.70
7.95
5.90
172.0
1.10
1.43
1.75
2.19
2.62
3.02
3.38
3.70
3.96
4.15
4.20
3.70
207.0
1.05
1.17
1.30
1.51
1.68
1.83
1.97
2.10
2.23
2.35
2.38
2.15
221.2
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
1.00
Turner-Wallis (1965)
The following relationships are provided by Turner-Wallis for annular two-phase flow
1 + X
45-n
5-n2
• 2 - 1A4r
5-n
(5)
where
n is the exponent of Re in the single-phase friction factor correlation and % is the Martenelliparameter.
Tarasova (1966)
The correlation applicable for adiabatic flow in the range of 49 < P < 195.9 bar and 515 <G < 2575 kg/m2s is:
-7.35io5
(6)
where
Fr = UL2/gD. SI units are used for the various parameters and A is a constant dependent on P.
P(bar)
A
49.0
3.1
98.000
1.628
147.000
1.313
196.00
1.14
275
Baroczy (1966)
Baroczy introduced a "physical property index" which is given below:
TABLE VIII.II. VALUES OF FRICTION MULTIPLIER 4>Lo2 FOR FLOW OF WATER AND
STEAM IN UNHEATED TUBES, REPRODUCED FROM THOM (1964)
Steam
Quality
0.000
0.010
0.015
0.020
0.030
0.040
0.050
0.060
0.070
0.080
0.090
0.100
0.150
0.200
0.300
0.400
0.500
0.600
0.700
0.900
1.000
Pressure (bar)
17.24
1.00
2.12
2.71
3.22
4.29
5.29
6.29
7.25
8.20
9.15
10.10
11.10
15.80
20.60
30.20
39.80
49.40
59.10
68.80
88.60
98.86
41.38
1.00
1.46
1.60
1.79
2.13
2.49
2.86
3.23
3.61
3.99
4.38
4.78
6.60
8.42
12.10
15.80
19.50
23.20
26.90
34.50
38.30
86.21
1.00
1.10
1.16
1.22
1.35
1.48
1.62
1.77
1.92
2.07
2.2
2.39
3.03
3.77
5.17
6.59
8.03
9.49
10.19
13.80
15.33
144.83
1.060
1.110
1.160
1.210
1.260
1.310
1.370
1.420
1.480
1.750
2.020
2.570
3.120
3.690
4.270
4.860
6.050
6.664
206.9
1.020
1.030
1.040
1.050
1.060
1.080
1.160
1.240
1.400
1.570
1.730
1.880
2.030
2.330
2.480
Baroczy supplied <|)LO2 at a reference mass velocity of 1356.2 kg/m2s (106 lb/h ft2) intabular form as a function of steam quality and property index (Table VIII.III). Using this,<1>LO2(G) (i.e. <))LO2 at any mass velocity G) is calculated by multiplying with a correction factor.Correction factors for different mass velocities are provided in graphical form as a function ofquality and property index and are reproduced in Tables VIII.IV to VIII.VII. The method is validin the range of 340 <G <4070kg/m2s.
276
TABLE VIII.III. VARIATION OF FRICTION MULTIPLIER (j)L02 AT G = 1356 kg/m2s (106
lb/ft2h) WITH PROPERTY INDEX AND QUALITY REPRODUCED FROM BAROCZY(1966)
Prop-
erty
index
xlOO
0.01
0.10
0.40
1.00
3.00
10.0
30.0
Quality (%)
0.1
2.2
2.15
2.08
1.59
1.12
1.04
1.01
0.5
5.8
5.60
4.90
3.30
1.55
1.12
1.02
1
9.2
8.80
7.80
4.80
1.81
1.22
1.06
2
16.0
14.8
11.9
7.00
2.57
1.48
1.13
3.5
26.5
22.8
16.3
9.60
3.45
1.78
1.26
5
47
34.2
22.8
12.4
4.70
i 2.05
1.36
7.5
99
48.2
29.0
16.0
6.10
2.50
1.50
10
163
70.0
36.0
20.0
7.90
2.80
1.59
15
376
108
49.5
27.0
11.0
3.60
1.77
20
630
148
63.0
33.5
13.2
4.20
1.93
30
1300
86.0
86.5
43.5
17.3
5.50
2.25
40
2050
330
110
53.0
21.2
6.5
2.48
60
4300
538
155
69.0
26.0
8.00
2.86
80
6600
760
203
85.0
30.0
9.10
3.20
100
10000
1000
250
100
33.3
10.0
3.33
TABLE VIII.IV. TWO-PHASE MULTIPLIER CORRECTION FACTOR FOR MASS FLUXOF 339 kg/m2s (0.25 x 106 lb/ft2h) REPRODUCED FROM BAROCZY (1966)
Property
index
(PC/PL)-
(HiAta)0'2
0.000461
0.0065
0.055
0.0775
0.3551
1.0
Quality (%)
0.1
1.6690
1.1717
1.2000
1.2130
1.1180
1.0000
1
1.6688
1.1717
1.2702
1.2915
1.1532
1.0000
5
1.6000
1.0319
1.2957
1.3864
1.5532
1.0000
10
1.5850
1.4212
1.3723
1.5340
1.7750
1.0000
20
1.5851
1.4212
1.3723
1.5340
1.7750
1.0000
40
1.4938
1.2404
1.3128
1.3362
1.4106
1.0000
60
1.3587
1.1489
1.1570
1.1574
1.1872
1.0000
80
1.1745
1.0979
1.0830
1.0819
1.0681
1.0000
100
1.0
1.0
1.0
1.0
1.0
1.0
TABLE VIII.V. TWO-PHASE MULTIPLIER CORRECTION FACTOR FOR MASS FLUXOF 678.1 kg/m2s (0.5 x 106 lb/ft2h) REPRODUCED FROM BAROCZY (1966)
Property index
(PG/PO.WHG) 0- 2
0.000461
0.0065
0.055
0.0775
0.3551
1.0
Quality (%)
0.1
1.3000
1.1289
1.1051
1.1000
1.0737
1.0000
1
1.3316
1.2479
1.1705
1.1516
1.0895
1.0000
5
1.3000
1.1289
1.1895
1.2160
1.3105
1.0000
10
1.3000
1.2692
1.2284
1.2263
1.4277
1.0000
20
1.3105
1.2362
1.2400
1.2645
1.5610
1.0000
40
1.2474
1.1567
1.2158
1.2316
1.3105
1.0000
60
1.2000
1.1103
1.1158
1.3116
1.1579
1.0000
80
1.1030
1.0722
1.0737
1.0790
1.0526
1.0000
100
1.0
1.0
1.0
1.0
1.0
1.0
277
TABLE VIII.VI. TWO-PHASE MULTIPLIER CORRECTION FACTOR FOR MASS FLUXOF 2712.4 kg/m2s (2.0 x 106 lb/ffh) REPRODUCED FROM BAROCZY (1966)
Property index
(PG/PLMHI/HG)02
0.000461
0.0065
0.055
0.0775
0.3551
1.0
Quality (%)
0.1
0.4526
0.7737
0.9000
0.9095
0.9674
1.0000
1
0.4526
0.6737
0.8368
0.8632
0.9158
1.0000
5
0.7526
0.6926
0.7790
0.8000
0.7657
1.0000
10
0.7526
0.7268
0.7947
0.8137
0.7152
1.0000
20
0.7326
0.7567
0.7684
0.7632
0.6400
1.0000
40
0.7716
0.8053
0.7263
0.7053
0.5895
1.0000
60
0.9126
0.8611
0.7474
0.7147
0.5895
1.0000
80
0.9084
0.9316
0.8474
0.8179
0.7150
1.0000
100
1.0
1.0
1.0
1.0
1.0
1.0
TABLE VIII.VII. TWO-PHASE MULTIPLIER CORRECTION FACTOR FOR MASSFLUX OF 4068.6 kg/m2s (3.0 x 106 lb/ft2h) REPRODUCED FROM BAROCZY (1966)
Property index
( P G / P L M ^ I M / 2
0.000461
0.0065
0.055
0.0775
0.3551
1.0
Quality (%)
0.1
0.6368
0.7842
0.8526
0.8768
0.9474
1.0000
1
0.6105
0.5000
0.7326
0.8000
0.8968
1.0000
5
0.6368
0.5211
0.6591
0.7000
0.7158
1.0000
10
0.6368
0.5947
0.6796
0.7000
0.6586
1.0000
20
0.6000
0.6211
0.6424
0.6324
0.5700
1.0000
40
0.6526
0.7053
0.5842
0.5474
0.4823
1.0000
60
0.7211
0.7737
0.6000
0.5474
0.4823
1.0000
80
0.8389
0.8720
0.7326
0.6889
0.6000
1.0000
100
1.0
1.0
1.0
1.0
1.0
1.0
Sekoguchi (1970)
= 0.38 ReL 0o.i 1 + vG
0.95
vL
Lystsova Correlation [Osmachkin & Borisov (1970)]
\\i, the in-homogeneity parameter is defined as
- 0 . 2 x
(1 + 0.57 xul25>0.125\
uopG/(pLVgD)
where
UQ = G/pL
(7)
(8)
(9)
278
Becker (1973)
i n = 1+ 10 —^~ X (]Q\
The correlation is valid up to 70 bar.
Chisholm (1973)
Chisholm suggested that the equation
(11)
is rather unsatisfactory for use with evaporating flows where the liquid flow rate varies along theflow path. He suggested that the equation can be transformed with sufficient accuracy forengineering purposes to
GT2-i)
2"n
B x 2 1-x 2 + x2-n2 2-n (12)
where n is the exponent in Blasius equation; the following formulae apply for B
T G (kg/m2s) B
<500
500 <G< 1900
>1900
<600
>600
4.8
2400/G
55/G0-5
520/(rG05)
2i/r
15 000/(r2G05)
<9.5
9.5<r<28
>28
and F = (APGO/APLO)° 5, which for turbulent flow can be written as
0.5 r T n/2
r=m mFriedel (1979)
The correlation valid for horizontal and vertical upward flow in circular, rectangular andannular ducts has the form
^LO2 = E + F H / (Frmi Wem2) (14)
where
E = (1-x)2 + x2 pLfGo/(pGfLo); F = 3.24 x078(1-x)0224
279
H = (pi/po)09 W W / 1 9 ( 1 - U G / U I / 7 ; Fr = G2/(p2 g D)
We = DG2/(pa) ; mi = 0.0454 and m2 = 0.035
f<3o and ^o are the friction factors computed for single-phase gas and liquid flows of mass flowequal to the two-phase flow and p is the density computed from the homogeneous model. Forvertical downward flow F, H, mi and ni2 are to be replaced by the values given below:
F = 48.6 X05 (1-x)0-29; H =
mi= 0.03 and m2 = 0.12
280
Appendix IX
DIRECT EMPIRICAL TWO-PHASE PRESSURE DROP CORRELATIONS
CESNEF-2 [Lombardi-Carsana (1992)]
This correlation is the last version of four different correlations [Lombardi-Pedrocchi(1972) DIF-1, Lombardi-Ceresa (1978) DIF-2, Bonfanti et al. (1982) DIF-3 and the present one]developed first at the CISE laboratories and then at the Department of Nuclear Energy —CESNEF of Polytechnic of Milan. This correlation is the result of a wide research work carriedout at CISE with different fluids, geometries and boundary conditions and assessed with a databank, named MID A, prepared at the Department of Nuclear Energy — CESNEF. Here only theCESNEF-2 correlation will be presented, because it is the logical generalization of the previousones. This correlation is fully dimensionless, continuous between two-phase and single-phaseflow and is valid only for vertical upflow (both for adiabatic and diabatic conditions). Itcalculates the total pressure drop as the sum of the elevation, acceleration and friction termsobtained by an energy balance instead of a momentum balance approach. Therefore in thisapproach the elevation term is proportional to the homogeneous density of the two-phasemixture and not to the actual density in the vertical duct, as in the case of a momentum balanceapproach. The acceleration term is obtained by the assumption of homogeneous flow. Thefriction term is given by an equation similar to that for single-phase flow, where the frictioncoefficient (Fanning type) is empirically correlated and the specific volume is assumed equal tothe homogeneous value. By defining dimensionless numbers as follows:
(1)
Ce ={pL g (D-Do)2/ <T} (UG/ nO where Do = 0.001 m (2)
Ce = 0forD<D o (3)
where
vm = x VG + (1-x) VL. One obtains the friction coefficient of the two-phase mixture, frp, asfollows:
_ |0 .046( l o r 0 2 5 for l o > 3 0 C e (4)f i p = (0.046(30Ce)(lo)""1-25 for l o < 3 0 C e
and the total friction coefficient is obtained as
f=fGbG + fLbL + frpbTP (5)
where
f*G and fi are the single-phase friction coefficients (Fanning type), calculated at the same totalflow rate by usual correlations, be bL and bTp are the weight functions as follows:
(6)l - b G - b L
281
Then
AP f =-G 2 v m Az ; A P e = ^ A z ; APa = G2(Avm)2fD
where
APf, APe and APa are the friction, elevation and acceleration terms respectively. The totalpressure drop is given by
Ap = APf+APe + APa (8)
To calculate the pressure drop, the channel is subdivided into sections, the number ofwhich is problem dependent: diabatic or adiabatic conditions, high or low pressures, etc. Startingwith a given subdivision (typically two sections), the above terms are calculated for each section,assuming average data for friction and elevation terms and true specific volume variations acrossthe section for the acceleration term. Then all these terms for the different sections are summedup to obtain the channel overall pressure drop. The channel is then subdivided into a largernumber of sections till the overall pressure drop converges to a definite value. The total pressuredrop, when lo < Ce, is limited to the liquid weight of the channel (gAzM,).
282
Appendix X
FLOW PATTERN SPECIFIC PRESSURE DROP CORRELATIONSFOR HORIZONTAL FLOW
(a) Stratified flow
The empirical model for the pressure gradient for stratified flow as given by Baker [Govier& Aziz (1972)] is as follows:
15400^, - ,0 .8CJSL
(1)
where
GSL = PL JL and % is the Martinelli parameter. No separate equation is provided by Baker for thestratified wavy flow pattern.
Hoogendoorn (1959) proposed the following relation for x < 0.8 in case of stratifiedsmooth and wavy flow patterns.
Ap
Azx145G2
(2)
The constant C depends weakly on the diameter and the fluid used. For the purpose ofengineering calculations, C can be given a value of 0.024 for smooth tubes (if 0.05 m < D <0.14 m). For rough pipes, the following table shall be used to calculate C.
Relative roughness, e/D
C
0.0012
0.0260
0.0039
0.0320
0.0190
0.0450
0.0300
0.0520
Dukler et al. [see Govier & Aziz (1972)] gave the following mechanistic model forstratified flow
f Api = fTpG2
(3)
where
"032frp = Fr|f; f = 0.0056+0.5 Re"032 ; Re =
F = 1+ y/[1.281- 0.478y + 0 . 4 4 4 / " O ^ y 3 + 0.00843y4]
and y = - In ( 1 - p) ; TI = (pi7pm)(l- P)2/(l - a) + ( pG/pm)p2/a ; \xm= u.L(l- P) +P) + PGP
; Pm = P L ( 1 -
283
Chawla (1967)
Apl = 0.3164 G V " (l-x)p 19/g
U z J ^ (GD//*O)M52DV XP
where
sc = 9.1 [(1- x)/x](ReLf rL)- 1/6(PG/PL)0-9
2 / (p 2ReL = DG(1- x)/ \xh and FrL= G2(l- x)2/(pL2gD)
In addition, mechanistic models for stratified flow are provided by Agrawal et al. (1973)and Taitel and Dukler (1976a).
Agrawal et al. (1973)
pG is the perimeter of the portion of the wall that is in contact with the gas phase.
•ttW.VAr. (6)
where212 ; TWL = ILPIML 12 with fG and ^ calculated by Blasius equation using Reo and
defined as
ReG = PGUG Dho/(J<}; ReL = P^LOM/ML with Dho = 4 AG /(PG+W0 and DhL = 4AI7PL
where
W; is the width of the gas-liquid interface.
xi = (0.804ReG-a285)2pGuG2 (7)
The calculations can be carried out if the geometric quantities appearing in the aboveequations are calculated. The following equations can be used to evaluate the geometricquantities.
= 0.5 {1- Cos(y/2)} ; a = AG/A = 1 - (y Sin y )/(2TT) ; and
i/D = 2{hIyD-(hL/D)2}0-5; Pi/p = y/27i ; pG /p=l-pL/p;
where
y, is the angle subtended by the interface at the pipe central line and h^ is the depth of liquidphase at the pipe central line.
DhG/D = 4AG/{D(PG+ WJ)}= ap/(pG+ W;) and DMTD = 4AI/(PLD) = (1 - a)p/pL
284
Computations can be made for laminar or turbulent liquid layer. Also, the average velocityin the liquid layer is calculated using the velocity distribution corresponding to the laminar orturbulent flow regime.
Taitel & Dukler (1976a)
This procedure assumes the pressure drop in the liquid and gas phass to be equal. Furtherit requires the calculation of the nondimensional liquid level , h L (= hi/D, where, IIL, is thedepth of liquid phase at the pipe central line), in the horizontal pipe, which can be calculatedknowing the Lockhart-Martinelli parameter from the following equation;
(UGDG)"1 AL AG fo AL AG
where
A - _ A - _ A L - _ A G - _ D G _ 4 A; = A = ; A = ; D = ; D =A V D ;
- A _
G
; hL = ^
AG = 0.25[COs-1(2hL-l)-(2hL-l)Vl-(2hL-l)2
pL = ^•-cos"1(2hL-l) ; pG = cos"1(2hL-l) ; Pi =
-n
1 Ll\ / 5 I G^G VG Vh
Equation 8 can be solved for laminar or turbulent flow by specifying the values of Q,CQ, n and m.
Knowing h L, the pressure drop can be calculated using the following equation;
,2 i -2 f f a a i ) - ] f- . f. -1 (9)
(b) Bubbly flow
^ P = ^^mVm ( 1 Q)
Az 2D
where
Vm = G/pm and f is calculated from single-phase correlation using Re=DVmpL/|u,L and
p m = ( l - a ) p L + a p G .
285
(c) Elongated bubbly flow
Baker /Govier & Aziz(1972)] gave the following empirical equation for elongated bubble
fG = 27.315% ' /GSL ' (11)
Hoogendoorn gave the following equation valid for elongated bubble, slug and froth flowpatterns
Ap _ fTpG2
Az 2D/?L
(12)
Hoogendoorn and Buitelaar (1961) provided a graphical correlation for fn>/f as function ofquality and density ratio where f is the friction factor calculated using single-phase liquidReynolds number given by Re =
(d) Slug flow:
Baker /Govier & Aziz (1972)]
(13)
(14)
Hughmark (1965)
TPF 2D
f is the single-phase friction factor based on Re = DULPI/|J.L
where
UL = JL ( 1 - oc), a = JG/{(1 + K) j} and K is a function of Rem(= D j PI/UL)- A graph of K vs. Ren
is given by Hughmark from which the following table has been obtained.
Rem
K
103
0.92
104
0.63
5x104
0.40
105
0.33
2x105
0.25
3xl05
0.23
>4xlO5
0.22
Dukler andHubbard (1975)
I A z J TPF 2Do)(15)
frp is calculated using the following single-phase correlation.
= 0.0056+ 0.5Rem032 (16)
286
where
DipRem = -; Pm = pGa + pL(l-a); j = j L + j G ; ftm = fiGa +ftL(l-a)
Gregory and Scott (1969) proposed the following correlation for ro
/ \-il.2
co = 0.0226j
JJ(17)
For the constant C a value of 0.25 was proposed by Hubbard and Dukler whereas 0.35was proposed by Gregory and Scott (1969).
where
B = 0.2. No equation for the void fraction, a, was proposed by Hubbard and Dukler.
(e) Annular mist flow:
Baker [Govier & Aziz (1972)]
<PG = (4.8-0.3125D) %
FPS units are used in all the equations given by Baker.
Hoogendoorn (1959)
[AP | _LAzJ™, 2D/?G
where
fTp = 0.025 (GGS)~°0 2 5 with GGS (= PQJG) given in kg/m2s.
(20)
287
Appendix XI
FLOW PATTERN SPECIFIC PRESSURE DROP CORRELATIONS FORVERTICAL UPWARD FLOW
(a) Bubbly flow:
The pressure gradient in bubbly flow is calculated by essentially single phase methods
Apl = fL/?LJ (1)Azj^p 2D
where
fi is given by conventional single-phase friction factor with Re = DJPL/UL- The homogeneousmodel is expected to give good results for bubbly flow.
Beattie (1973)
0.8 c / N 1 0.2
(b) Slug flow:
The pressure gradient in slug flow is calculated by
[AzJTPF 2D
where
f~L and Re are as defined for bubbly flow above.
(c) Froth flow (churn flow):
No equations are reported for this flow regime. The pressure gradient in this regime can becalculated using the homogeneous model as described for bubbly flow above.
(d) Pure annular flow (without entrainment):
Chawla (1967)
(Ap\ 0.3164 _ .. ^
I Az J TPF
where
l/ccc3 = 1/ai3 + l/a2
3
log a 7 = 0.960 + log B; loga2 =
288
0.168-0.055 l o g - log B- 0.67
{-i -0.9 r 1 -0.5
M \M ;ReL = G(l-x)D/^L;FrL = (G2(l-x)2)/(pL2gD).
The correlation is valid in the range 0.006 < D < 0.154 m, 5.9 10"6 < (e/D) < 6.8 10"2,102< ReL< 3 105,10"5 < FrL< 102,30 < (pi7pG)) < 850,40 < (\HJ\XG) 7000 and10"4<x<0.98.
Wallis (1970)
J^pl f/?GJo (5)J25UzJTPF 2Da
where
f = 0.005[l + 75(1 - a)] and JG is the superficial velocity of gas.
Beattie (1973)
** - HtfH^-f(e) Dry wall (post dryout flow):
Beattie (1973)
Lorenzini et al. (1989)
This correlation applicable for the transition between annular and fog flow pattern is givenby
A, = kR* (8)
where
k = 0.45 ln(100 xe), the subscript "e" refers to the final conditions in the section and R* is givenby
R = GR2 if ae < ax and xe > XT ,
R = GRi if cce < ax and xe < XT ;
289
where
GRi= ^ — ' ' * J ; GR2 = (1-A2)CD
B =
XT VG
1067.6
P is in bar.
XT = j 1067'622413-0.308424[{0.476615-0.442864 exp(-0.014721P)} where
If G > 3461 kg/m2s, then XT — 1/G. Friction factors fLo and fix} are calculatedcorresponding to ReLo and ReLG respectively. ReLo is the Reynolds number of the saturatedliquid and ReLG is given by
C X T H A I ifcce>aT (9)ReLG = ReL0 - ^ f^ (S-l)
fx. 1U1 ifae<aT (10)ReLG = ReLO ^ f^ (S-l)
290
Appendix XII
INTERFACIAL FRICTION MODELS GIVEN BY SOLBRIG (1986)
(a) Bubbly flow:
F i=-A iB i(uG-uL) (1)
where
Fi is the interface force, Aj is interface area per unit volume and B, is the coefficient of interfacefriction.
Ai=3 a/rb,
where
fb - Tb,we (1 - P) + rb>m P ; P = exp [(- Db/rb5we)/xt] and xt is normalized liquid induced bubbleoscillation distance,
x t =l if ReL< 2,000;
xt = exp (1 - 2,000 / ReL) if ReL > 2,000;
rb>We= 0.06147 {(Web>crit/2) (a/(p uR2)}
where
UR = UG- UL and Web>Crit = 1 -24
rb,m = rb,we/0.06147
I ]/8, f is obtained from the Colebrook equation, with Re defined as:
Dh = 2 rbX if rbX < R ;
Dh = 2R if rbx>R,
R is tube radius and x - Dh/2 rb;we-The roughness is set by setting e = rb.
(b) Slug flow
Since the slugs are assumed to be made up of a combination of hemispherical end capsand a cylindrical center section, contributions to the interface friction are obtained by summingboth of the components, i.e.
(2)Fi=(A;;heBi)he+Ai>acBj,ac)UR, v '
291
where
Ai;he= (a/D)(4/7i)°-5[4/{(2/3) + K}],
AUc= (a/D)(4/7i)a5[4K/{(2/3) + K}]
where subscripts "he" and "ac" refer to hemispherical ends and annular center portionrespectively and K = {(2/3)Ki2- a}/{cc-Ki2}; Kj = (7t/4)05« 0.886.
The friction coefficient of the hemispherical ends is calculated as BC;he = f [pi, I UR | ]/8,where f is calculated using Moody friction factor correction with Dh = 2 rb,m and the roughnessdefined as e = rb,m ; i.e. calculation of friction coefficient Be> he is carried out by the sameequations used for bubbly flow.
The friction coefficient for the annular center section based on the gas phase friction termis Bcac= fb[pG I UR I ]/8, where the friction is assumed to be that of annular flow plus an entrancelength correction due to the developing velocity profile in the gas and liquid phase to give fc =f<j,fd + fe ,where the fully developed friction factor fc, fd is obtained from Moody friction factorcorrelation with Reynolds number defined as Re = Dh PG UR / UQ with Dh = 2 rb;m and theroughness is given by e = 4 8, where 8 is the thickness of the liquid film. The thickness of film inSolbrig(1986) model is 8 = 0.114 R, where R is the tube radius. The entrance length frictionfactor is given as fe= 10 e^10.
(c) Annular flow regimes
cl. Annular flow
Fi = A;B iUR, A;= (4Voc)/D, B;=f G [pG I uR | /8 (3)
where
fo calculated from the Moody diagram with Re = DhPGUR/uo; Dh = Va D and the roughness isgiven by e = 4 8 = 2( 1 - Va )D, The maximum value of film thickness is limited to 0.1 R, i.e. if ecalculated is greater than this value, then e = 0.1 R is used.
c2. Annular mist regime
The interface force for annular mist flow is
Fi,am= Ai>am Bj;amUR (4)
where
A i j a m = 4 V { l - ( l - a ) ( l - E ) } / D
where E is the entrainment fraction given by
E = tanh (4.5x10"7 WeL25ReLa25)
where We is the Weber number for entrainment and ReL is the total liquid Reynolds numberdefined as
292
We = (PGaG2uR2D/a){(pL- PGVPG} 0 3 3 , ReL = PLOCLURD/UL (5)
In both of these definitions, the liquid velocity to be used in the calculation of UR is that ofthe liquid film and not of the droplets. The friction coefficient is obtained from Moody diagramwith the hydraulic diameter given by:
D h = D V { l - ( l - a X l - E ) } .
The roughness is defined as e = 2 [1 - V{1 - (1 - a)(l - E)}]D with the maximum valuelimited to 0.1 R.
c3. Droplet regime
The interface force between the gas phase and the droplets is calculated in a mannersimilar to that of bubbles in the liquid phase except that the role of the continuous anddiscontinous phases are reversed.
(6)
where
Ai,d= {3(1 - cc)E/D ; Bi;d= fG p I uR | /8 and
UR = UQ— UL in a two-fluid model,
= UG- UD in a three-fluid model where UD is the droplet velocity.
293
Appendix XIII
SLIP RATIO MODELS FOR CALCULATION OF VOID FRACTION
Osmachkin (1970)
5 = 1
,0.5
(1)0.25
Bankoff and Jones (1962)
\-aS =
(1 - KK
where
K = 0.71 + 0.00131 P and r - 3.33 + 2.61xlO"5P + 9.67xlO"3 P2, P is in bar.
Bankoff and Malnes (1979)
S = (l-a)/(C-a) for a < C - 0.02
and
S = 50[1.02 - C + 50(a - C + 0.02)(l - C)] for a > C - 0.02
where
UQ = SuL+ u0 with uo =0.174 m/s and C = 0.904.
Modified Smith [Mochizuki and Ishii (1992)]
0.5
+ KfI-l]PG
(2)
1 + K I - -.x
where
K = 0.95 tanh (5.0 x) +0.05
(3)
(4)
(5)
294
Appendix XIV
MODELS FOR THE CALCULATION OF VOID FRACTION
Armand (1947)
K = 0.833 +0.167x (1)
Bankoff(1960)
K -0.71 +0.00131 P (2)
where
4.9 < P < 206.2 bar
Hughmark (1961)
K = -0.16367 + 0.31037 Y - 0.03525 Y2+ 0.0013667 Y3 for Y<10 (3)
K = 0.75545 + 0.00358Y-0.1436.10~4Y2 for Y>10 (4)
Y = Re1 / 6Fr1 / 8( l-a)-1 / 4 (5)
Re = GD/[a^G+(l-a) |aL] (6)
Fr = (G2/gD)(x/pG + (1 - x)/pL)2 (7)
295
Appendix XV
DRIFT FLUX MODELS FOR THE CALCULATION OF VOID FRACTION
Zuber-Findlay (1965)
»0.25
1.13 and VGj=1.41 (1)
Rouhani (1969)
Co = 1 + 0.2(1- x)\
-\0.25
A
Dix(1971)
IO.I
V - 2 0 (A.
°j 1
(2)
(3)
(4)
(5)
Nabizadeh (1977)
where
GE-Ramp (1970)
C0=l.lfora<0.65
= 1 + 0.1(1 - a)/0.35 for a >0.65
(6)
(7)
and the drift flux velocity is given by,
296
0.25
and R = 2.9 for a < 0.65(9)
= 2.9 (1 - a) / 0.35 for a > 0.65
EPRI(1986)
C- ^aJO (10)K0+(l-K0)ar
L(«,P) = f £ (11)l-expC-Cj)
where the constants are given by,
/ \ 1/4
and the drift velocity is given by
PI
°-25 n s(1~a) (12)
1
Chexal-Lellouche (1996)
The correlation valid for steam-water flow is presented here. For refrigerant two-phaseflow or Air-water two-phase flow reference may be made to the original report.
1. Distribution parameter (Co)
The distribution parameter, Co, for a two-phase mixture flowing at any angle, where theangle is measured from the vertical axis, is the weighted average of values for horizontal andvertical flow.
Co = FrCov + ( l -F r )C o h (13)
where
C and C u are the distribution parameters evaluated for vertical and horizontal flow and Fr isov oh
a flow orientation parameter defined as
for ReG > 0
297
F =r(90°-e)
90°for (0°< G < 90°)
(14a)
for ReG < 0
(14b)
for (6 < 80°)
(90°-B)
10°for (80°<e<90°)
where
0 = pipe orientation angle measured from the vertical axis
VA) local vapour superficial Reynolds numberRe =
Note that in all cases, the pipe orientation angle 0 = 0° for a vertical pipe and 0 = 90° fora horizontal pipe. The angle is always in the limits of (0 < 0 < 90°).
1.1. Vertical flow
For vertical pipe (0 = 0°), the volumetric fluxes, ji,and jo, are taken as positive if bothphases are flowing upward and negative if both phases are flowing downward. Forcountercurrent flow, the vapour velocity is always positive (upward) and the liquid velocity isalways negative (downward). Countercurrent flow is only considered for vertical flows. Thedistribution parameter for vertical flow is given by
forReG >0
L (15a)
for ReG < 0
(15b)
[K0+(l-K>r]
(IJLI+IJGI)
where
298
V°. = defined later by Eq. (30)
L = Chexal-Lellouche fluid parameter.
Different forms of L are used with different fluids. For steam-water mixtures the formof L is selected to ensure proper behavior as the pressure approaches the critical pressure,
" l-expf-Q)
where
4 ?L (17)C,=
P-cnt
[P(P--P)1
Other variables in the distribution parameter correlation are defined as,
( V /4
(18)
(1.0+1.57 pG/ph)
d-BOr= r^" (w)Bj =min(0.8,A1) (20)
A i _ l on[l + exp(-Re/60,000)] V ^
Re G if ReG > ReL or ReG < 0.0R e = •!
ReL if ReG < ReL
Rej^ = local liquid Reynolds number = h
= local vapour Reynolds number =
The sign convention for all Reynolds numbers, Re, ReL, and ReG is the same as the sign
convention for the individual flows.
1.2. Horizontal flow
For horizontal flow (6 = 90°), the void fraction correlation considers only cocurrentflows. Horizontal countercurrent flow has not yet been included in the database. Thevolumetric fluxes for horizontal flow are always taken as positive; negative volumetric fluxesshould not be used. The distribution parameter for horizontal flow is given by
299
(25)
where
C o v is defined by Eq. (15a) above, and is evaluated with positive vapour Reynolds numbers,
using the horizontal fluid parameter, L^, defined as follows:
1 - exp(- Cja)steam water Lh = —, r- (26)
l - e x p ^ - C j
All other parameters are defined as for vertical flows, with positive fluxes.
For both vertical and horizontal flows, the steam-water parameter is a function ofpressure and void fraction.
2. Drift velocity (VGj)
The drift velocity, VGJ, for cocurrent upflow and pipe orientation angles (0° < 0< 90°) isdefined as:
VGj = FrVgjv + ( l -F r )V g j h (27)
where
Vgjy and Vgjh are the drift velocities for vertical and horizontal flow and F r is the flow
orientation parameter defined by Eqs (14a) and (14b). For cocurrent downflow, the driftvelocity is defined as:
VGj = F rVg jv + (F r - l )V g j h (28)
2.1. Vertical flow
Like the distribution parameter, the drift velocity for a vertical pipe0°), V :v, covers cocurrent upi
velocity for vertical flow is given by:
(0 = 0°), V^v, covers cocurrent upflow and downflow and countercurrent flow. The drift
Vgjv = VGjC9 (29)
where
V°=1.41 2
0.25
C2C3C2C3C4PL
C 9 =( l -a ) B l forReG>0 (31)
C9 = (1 - a) °5 for ReG < 0 (32)
300
Other parameters are defined as:
for • ^ - <18 C2 =0.4757
0.7
for \£±-1 - exp
ifC5>l
ifC5<l
where:
Cd —
C 7 = l
l-exp(-Cg)
if
if C7<
C8 =1-C7
D2 = Normalizing diameter, 0.09144 m
(33)
(34)
(35)
(36)
(37)
(38)
(39)
The parameter C3 is determined based on the direction of the gas and liquid flows. It iscontinuous as the two directional boundaries are crossed, but has a particularly strongderivative when coming across the j L equals zero plane. The values of C3 for the three typesof flows (cocurrent upflow, cocurrent downflow, and countercurrent flow) are given as:
The upflow C3 expression has been modified to decrease the rate of change of C3 in the1 Quadrant as it approaches zero liquid flow rate. This change improves the ability of thesystem dynamic models to utilize the inferred interface friction factor. From a steady statestandpoint, the expression can be modified as long as the proper end point characteristics aremaintained and good statistical compositions with the data result.
The upflow C3 expression is as follows:
r 0.5C3 - maxj 2exp(-JReLj/300,000) (40)
1 water and steam both flowing upwards.
301
A single C3 expression covers the 2nd quadrant2 and 3rd quadrant3 and the CCFL4 line.Only a portion of the original C3 expression has been modified, C3, B2, and Di remain asdesigned in NSAC-139. The original NSAC-139 countercurrent/downflow C3 expression is
as follows:
C,=2 '10
2
= 2 exp •
(41)
\0.25
ReT
0.4
0.001
0.03
exp-ReT
50,000
D,
(42)
where
0.4
and2 (l+0.05(|ReL|/350,000))
)j = Normalizing diameter = 0.0381 m(43)
For clarity, the revised expression for C10 is broken into the three constituent terms
which are summed to form C10.
jK i 0.4
350,000C10(Term l) =
C10(Term 2) = -1.7{ R e L | P « q , { 7 JwK ' X L | / F [(35,000 JLIX +25,000) \D
5
where
•\r
-10
ReT
and
in the 2 n d Quadrant
in the 3rd Quadrant
in the 2 n d Quadrant
in the 3 r d Quadrant
JL(ccfl)ls ^ suPerficial liquid velocity at CCFL for vapour velocity j G , and
1 -JL
(44)
(45)
(46)
(47)
(48)
2 water flowing downwards and steam flowing upwards.3 water and steam both flowing downwards.4 counter current flow limit.
302
0.8- f.0.8
JL — 0.3
for
for
JL
JL(ccfl)
JL
-<0.3
>0.3 (49)V JL(ccfl) J JL(ccfl)
The new terms Y, Z, and J work together in the countercurrent quadrant to fit both therd
data and the CCFL line. In the 3 quadrant, term 1 reduces to its original form and term 2 hasonly slight differences in the coefficients. The magnitude of Term 3 is small relative to theother two in the 3 quadrant.
2.2. Countercurrent flow
For countercurrent flow, a large hydraulic diameter model is included to accommodate
the behavior of the large diameter blowdown tests. The large diameter model is applicable
when hydraulic diameter is greater than 0.3048 m (1 ft). A transition from the normal to thelarge diameter model is made from Dj (0.0381 m/0.125 ft) to 0.3048 m. The following
equations illustrate the large diameter model:
0.6XTS+C3N(1.0-XT)'D,-0.3048V
0.6-0.27
0.06S0.3048 J
xS
for 0.3048m > Dh > Di
for 0.9144m > Dh > 0.3048m
forDh> 0.9144m
(50)
where
C3N = the normal C3 as defined by Eq. (41)
, 0 . 5
S=JLIX+(1.O-JL ,and
XT=(Dh-D1)/(0.3048-D1)
2.3 Horizontal flow
For horizontal flow only cocurrent flows are considered. The drift velocity forhorizontal flow, V -h, is evaluated with Eq. 29, using positive values of the volumetric fluxes.
3. Units
Tl
units of a velocity and should be consistent with the units used for the volumetric flux.
The correlation is the same in either British or SI units. Co has no units and V . has the
303
Appendix XVI
MISCELLANEOUS EMPIRICAL CORRELATIONS FOR VOID FRACTION
Thorn (1964)
y is a constant at any pressure and assumes the following values for water.
Martinelli-Nelson (1948)
a =
(1)
P(bar)
Y
1.014
246.0
17.24
40.0
41.38
20.0
86.21
9.8
144.83
4.95
206.9
2.15
221.1
1.0
(2)
where
C = (pi/pa)0'5
Baroczy (1966)
Baroczy has expressed in graphical form, the void fraction as a function of the Martinelliparameter, Xtt, and the property index:
1-x
X
0.9 , , 0 . 5 , 0.1 (3)
Based on these graphs Marinelli and Pastori (1973) have obtained the following best fitequation valid only for 70 kg/cm
a = 0.1800285 +4.2049x- 11.523x2+ 14.856x3 - 6.7624x4 (4)
304
Appendix XVII
COMPILATION OF DATA
The compiled data are shown in Tables XVII.I, XVII.II, XVII.III and XVII.IVrespectively for pressure drop, void fraction, flow pattern and flow pattern specific pressuredrop.
TABLE XVII.I. TWO-PHASE FLOW PRESSURE DROP DATA — A COMPILATION
Author
(year)
Adorni(1961)
-do-
Hoglund(1958)
Hashizume(1983)
Hashizume(1983)
Cicchitti(1960)
Cicchitti(1960)
Janssen(1964)
Janssen(1964)
Janssen(1964)
Janssen(1964)
Janssen(1964)
Janssen(1964)
Test
sec-
tion
A
A
P
P
P
P
P
P
P
P
RC
RC
RC
Flow
direc-
tion
V-U
v-u
V-U
H
H
V-U
V-U
V-U
H
V-D
V-U
V-U
V-U
adiabatic/
diabatic
adiabatic
diabatic
diabatic
adiabatic
adiabatic
adiabatic
diabatic
adiabatic
adiabatic
adiabatic
adiabatic
adiabatic
adiabatic
Forced/
Natural
forced
forced
natural
natural
natural
forced
forced
forced
forced
forced
forced
forced
forced
Fluid
used
S-W
S-W
S-W
R-12
R-22
S-W
S-W
S-W
S-W
S-W
S-W
S-W
S-W
No.
of
Data
pts.
97
376
87
85
85
52
18
37
65
37
67
87
26
Hydra-
ulic-
dia
(mm)
3.23
3.23
11.65
10.0
10.0
5.1
5.1
19.7&11.1
18.8,24.3&32.3
24.3
19.7&11.1
19.7&11.1
19.7&
Pres-
sure
range
(MPa)
6.83-7.07
6.83-7.58
1.14-4.24
0.57-1.22
0.92-1.96
2-7.8
3.6-5.2
4.1-9.6
4.1-9.6
4.1-9.6
4.1-9.7
4.1-7.0
4.1-6.9
Mass
Flux
(kg/
m2s)
961-3799
976-3828
717-935
88-354
88-354
2000-6000
2200-4000
271-1492
271-2306
271-1492
678-2848
678-2848
271-2848
Quality
range
0.0-0.75
0.0-0.85
0.01-0.065
0.1-0.81
0.08-0.81
0.05-0.8
0.4-0.7
0.09-0.9
0.09-0.9
0.09-0.9
0.02-0.99
0.05-0.92
0.02-0.79
305
TABLE XVII.I. (CONT.)
Author
(year)
Lahey(1970)
Steiner(1988)
Berkowitz(1960)
Adorni(1966)
CISE(1963)
CISE(1963)
CISE(1963)
Marchattern(1956)
Cook(1956)
Moeck(1970)
Vijayan(1981)
Test
sec-
tion
RB
P
P
RB
P
A
A
RC
RC
A
P
Flow
direc-
tion
V-U
H
V-U
V-U
V-U
V-U
V-U
V-U
V-U
V-U
V-U
adiabatic/
diabatic
diabatic
adiabatic
diabatic
diabatic
adiabatic
adiabatic
diabatic
diabatic
diabatic
diabatic
diabatic
Forced/
Natural
forced
forced
forced
forced
forced
forced
forced
natural
natural
forced
forced
Fluid
used
S-W
R-12
S-W
S-W
S-W
S-W
S-W
S-W
S-W
S-W
S-W
No.
of
Data
pts.
36
158
920
314
525
280-
843
30
62
972
22
Hydra-
ulic-
dia
(mm)
12.0
14.0
5.2-10.1
5.07-11.61
5.2-10.1
3.23-7.0
3.23-7.0
16.23
16.23
4.06
6.2
Pres-
sure
range
(MPa)
7.0
0.15-0.31
4-8.36
5-6.96
4-7.06
6.8-7.13
6.8-7.58
0.79-4.24
4.23
3.47-7.25
7.2
Mass
Flux
(kg/
m2s)
271-2984
50-240
1044-4088
80-3800
1038-4398
961-4570
976-4581
366-500
173-443
150-3350
2740-4044
Quality
range
0.03-0.45
0.1-0.81
0.018-0.97
0.0-0.5
0.018-0.8
0.001-0.836
0.0-0.98
0.019-0.461
0.016-0.087
0.066-0.69
0.01-0.28
P - Pipe; A - Annulus; RC - rectangular channel; RB - rod bundle; V-U - vertical upward; V-Dvertical downward; H - horizontal; S-W - steam-water; R-12 - Refrigerant-12; R-22 - Refrigerant-22.
306
TABLE XVII.II. DETAILS OF STEAM-WATER VOID FRACTION DATA
Author Test
(year) sec-
tion
Rouhani P(1963)
Merchattere RC(1956)
Cook et al. RC(1956)
Petrick P(1962)
Merchattere RC(1960)
Merchattere RC(1960)
Merchattere RC(1960)
Rouhani A(1966)
Flow adiabatic/ Forced/ Fluid No. Hydra- Pres- Mass Quality
direc- diabatic Natural used of ulic- sure Flux range
tion Data dia range (kg/
pts. (mm) (MPa) m2 s)
V-U diabatic
V-U diabatic
V-U diabatic
V-U diabatic
V-U diabatic
V-U diabatic
V-U diabatic
V-U diabatic
forced S-W 149 6.1
natural S-W 675 16.2
natural S-W 1077 19.9
forced S-W 108 49.3
natural S-W 292 11.3
forced S-W 237 11.3
natural S-W 567 20.3
forced S-W 535 13.0
0.7-6.0
0.8-4.3
4.2
4.1-10.3
1.12-4.23
1.12-4.23
1.12-4.23
1.0-5.0
650-2050
360-502
173-457
163-1256
490-1112
490-1455
289-744
650-1450
0.0-0.38
0.082-0.0
0.0-0.141
0.0-0.11
0.0-0.076
0.0-0.0.65
0.0-0.076
0.0-0.12
A — Annulus; V-U — vertical upward; S-W — steam-water; P — pipe; RC — Rectangular Channel.
307
TABLE XVII.III.WATER
DETAILS OF THE FLOW PATTERN DATA COMPILED FOR STEAM-
Author
Bennett et. al.(1965)
Hosier (1967)
Griffith(1963)
Suo et al.(1965)
Janssen &Kerivinen
(1971)
Peterson &Williams
(1975)
Bergles et al.(1965a)
Bergles et al.(1965b)
Bergles et al.(1965c)
Bergles et al.(1968a)
Bergles et al.(1968b)
Tippets(1962)
Test sectionGeometry
Tube
Rectangularchannel
Tube
Tube
Tube
Rod bundle
Tube
Tube
Tube
Tube
Rod bundle
Rectangularchannel
Pressure(MPa)
3.44 & 6.9
1.034 to13.79
1.483 to2.862
6.9
7
2.758 to13.79
3.45
3.45 & 6.89
6.89
3.45
&6.89
6.89
6.9
hydraulicdia.(mm)
12.638
6.003
9.525 to22.225
10.16
17.06
7.06
101.6
9.652
10.31
20.93
14.2
20.6
Method ofidentification of
flow pattern
High speed cine-photography X-ray photography
High speedphotography
Electricalresistance probe
Electricalresistance probe
Electricalconductance
probe
Visualobservations
Electricalresistance probe
Electricalresistance probe
Electricalresistance probe
Electricalresistance probe
Electricalresistance probe
High speedmotion picture
No. ofdata
points
109
683
344
61
94
98
56
65
55
88
301
25
308
TABLE XVII.IV.DATA
COMPILATION OF FLOW PATTERN SPECIFIC PRESSURE DROP
Author Test
(year) sec-
tion
Flow adiabatic/ Forced/ Fluid No. Hy-
direc- diabatic Natural used of draulic-
tion Data dia
pts. (mm)
Pres-
sure
range
(MPa)
0.57-1.22
0.92-1.96
0.151-0.309
6.89
Mass
Flux
(kg/
m2s)
80-320
80-320
80-320
510-2800
Quality
range
0.1-0.8
0.1-0.8
0.1-0.8
0.01-0.322
Hashi-Zume P(1983)
Hashi-Zume P(1983)
Steiner C P(1979)
Suo et al. P(1965)
Zhao & PRezkallah(1994)
Tutu P(1982)
Hewitt& POwen (1992)
Lahey & PLee (1992)
Lahey & PLee (1992)
H adiabatic natural R-12 78 10
H adiabatic natural R-22 78 10
H adiabatic forced R-12 136 10
V-U adiabatic forced S-W 68 10.2
V-U adiabatic forced A-W 53 9.7
H adiabatic forced A-W 8 52.2
V-U adiabatic forced A-W 42 31.8
V-U adiabatic forced A-W 16 57
V-D adiabatic forced A-W 16 57
0.1
0.1
0.24
0.1
0.1
300-460
V-U — vertical upward; V-D — vertical downward; H — horizontal; S-W — steam-water; R-12Refrigerant-12; R-22 — Refrigerant-22; P — pipe.
309
Appendix XVIII
DETAILED RESULTS OF ASSESSMENT OFVOID FRACTION CORRELATIONS
The assessment was carried out by standard statistical procedure. The error (et), mean
error ( e"), mean of absolute error (|e |) , R.M.S. error (erms) and standard deviation (a) are
calculated as follows:
x 100(1)
where
the subscripts c and m refer to calculated and measured values respectively.
1 N
e =—Ve.-Ntr •
(2)
(3)
f N \ 0 5
rms
a =
(4)
N
v J
N 2\ 0.5
N-l
V J
(5)
Table XVIII.I shows the range of parameters of the data used for the assessment whichformed a part (about 3292 data points) of the TPFDB data bank. The data used for theassessment was screened by deleting those data with predicted errors exceeding ± 100% byany of the four correlations [i.e. Chexal-Lellouche, Rouhani, Modified Smith (modified byMochizuki and Ishii) and Hughmark]. Number of data points deleted is about 2.7% of the totaldata in the original data bank. It is found that the erroneous data are not concentrated in asingle dataset but present in almost all the datasets used in this data bank.
310
Parameter
Quality (%)
Mass-Flux (kg/m s)
Hydraulic Diameter (mm)
Measured Void fraction (%)
Pressure (bar)
Minimum
0.01
125
10
40
7
TABLE XVIII.I. RANGE OF PARAMETERS OF VOID FRACTION DATA USED FORASSESSMENT
Maximum
22
2950
38
90
51
From the frequency distribution given in Figures XVIII.I to XVIII.III only the ModifiedSmith correlation shows a skewness towards the negative side (Fig. XVIII.III) which indicatesan underprediction to some extent. A comparison of the measured and predicted void fractionsare given in Figures XVIII.IV to XVIII.VI which show predicted void fraction, ccc to beconsistently more than the measured void fraction ocm except in the case of modified Smithcorrelation. For the modified Smith correlation, the predictions are more or less evenlydistributed around the zero line. It may be noted that while Chexal-Lellouche and Rouhani aredrift flux models, Hughmark is a kj5 model and Modified Smith correlation is a slip ratiobased model.
Assessment of correlations for the limiting conditions:
Void fraction correlations have to satisfy the following limiting conditions:
(1) As x tends to 0, a tends to 0 (lower limiting condition)(2) As x tends to 1, a tends to 1 (upper limiting condition)(3) As P tends to Pcrit, a tends to x (critical limiting condition).
To check for the compliance of the correlations with the lower and upper limitingconditions, void fractions predicted by different correlations are studied over a wide range ofmass fluxes and pressures for x — 0 and x = 1. In order to allow for the round-off errors andapproximations made in the computation of void fractions using various correlations, thefollowing allowances are made to the limiting conditions. It is assumed that a correlationsatisfies the limiting conditions if it satisfies the following conditions:
(1) At x = 0.000001, a is less than 0.001 (approximation of lower limiting condition)(2) At x = 1, a is greater than 0.999 (approximation of upper limiting condition)(3) At P = 218.3 bar, Maximum deviation of predicted void fraction from the mass quality.
over the entire range of mass flux, i.e. 0 to 10 000 kg/m2s, is less than 1% (approximation ofcritical limiting condition).
The results of the observations are listed in Table XVIII.II.
311
TABLE XVIII.II.
Correlation
name
LIMITING CONDITIONS
G<100.(
atx = 0; at x =a= 0 a =
) kg/m2s
= 1; at1
P~Pcr>a = x
atxa
G>
= 0;= 0
100.0
atx =a =
kg/m2
-1;1
s
atP=Pcr;a = x
Chexal et al.(1996)
ModifiedSmith
yes
yes
Rouhani
Zuber-Findlay
Bankoff
yes
yes
yes
no
yes
yes
no
no
yes forG>10
yes
no
no
yes
yes
yes
yes
yes
yes
yes for G yes>140
yes
no
no
yes
yes yes for G>2050
no
yes
Bankoff-Jones
GE-Ramp
yes
yes
yes
yes forG>10
yes
no
yes
yes
yes
yes
yes
no
Bankoff-Malnes
Homogene-ous model
Martinelli-Nelson
Hughmark
Osmachkin -Borisov
Thorn
Nabizadeh
Armand
Dix
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
no
yes
yes
no
yes
no
no
yes
no
no
yes
no
no
no
no
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
yes
no
yes
yes
no
yes
no
no
yes
no
no
yes
no
no
no
no
312
It is observed that the homogeneous model and the slip ratio based models satisfy all thethree limiting conditions for all mass fluxes. Among the top four correlations only themodified Smith correlation satisfies all the three limiting conditions. The Chexal-Lellouchecorrelation satisfies all the three limiting conditions for G > 140 kg/m2s whereas Rouhanicorrelation satisfies all the three limitting conditions only for G > 2000 kg/m2s. From theseconsiderations, the Chexal-Lellouche and the modified Smith correlations may be used incomputer codes for reactor analysis.
30 -
£
>
10 -
-100 -80 -60 -40 -20 0 20 40 60 80 100
percentage error
FIG. XVIII. I. Error distribution in predicted void fractions using Chexal-Lellouchecorrelation.
313
30 _
I . I . I . I . I . I . I . I
-100 -80 -60 -40 -20 0 20 40 60 80 100
percentage error
FIG. XVIII. II. Error distribution in predicted void fractions using Hughmark correlation.
314
IS
20 -
-100 -80 -60 -40 -20 0 20
percentage error
FIG. XVIII.III. Error distribution in predicted void fractions using modified Smithcorrelation.
315
0.4 -
0.0
0.0FIG.
XVIII.IV. Comparison of measured and predicted void fractions using Chexal-Lellouchecorrelation.
316
0.0 0.2
FIG. XVIII. V. Comparison of measured and predicted void fraction using Hughmarkcorrelation.
317
0 . 4 -
0 . 2 -
0.0
0.0
a
FIG. XVIII. VI. Comparison of measured and predicted void fractions using modified Smithcorrelation.
318
Appendix XIX
DETAILED RESULTS OF ASSESSMENT OF FLOW PATTERN DATA
The criteria proposed by Taitel et al. (1980), Mishima and Ishii (1984) and Solbrig(1986) are given in Tables XIX.I and XIX.II for bubbly-slug and slug-annular transitionsrespectively. The bubbly-slug criteria proposed by Taitel et al. consists of three criteriadesignated as Taitel et al. I, II and III. Taitel et al. Ill is an upper limit beyond which bubblyflow cannot exist whereas criterion II demarcates dispersed bubbly and slug flow.
Only Solbrig has provided a criterion for slug-annular transition. His recommendedcriterion is Solbrig I. However, Solbrig also discusses another criterion denoted as Solbrig IIin Table XIX.II. Mishima and Ishii have proposed two different criteria for the transition toannular flow. The criterion corresponding to annular flow with entrainment is considered herefor assessment. Taitel et al. proposed an upperlimit of jo beyond which only anular flow ispossible.
1. Comparison of the various transition criteria
Figure XIX.I shows a comparison of the criteria for bubbly-slug and slug-annulartransitions in JG-JL plane. Corresponding plots in CC-JR plane is shown in Fig. XIX.II. Thefollowing observations can be made from these figures:
(i) The bubbly — slug transition criteria proposed by Taitel et al. and Mishima-Ishii areclose to each other.
(ii) Both Taitel et al. and Mishima-Ishii criteria for transition to annular flow are found to beindependent of the liquid superficial velocity (Fig. XIX.I). While Mishima-Ishii suggestthat the criterion for annular flow transition should not be extended beyond the JL valuecorresponding to bubbly- slug transition, no such upper limit is specified by Taitel et al.Plotting these criteria in OC-JR plane (Fig. XIX.II) shows that at higher values of JL thevoid fraction can go below that specified for bubbly to slug transition. This suggests thatan upper limit of JL needs to be specified for this criterion although no such limit isspecified by Taitel et al. and Mishima-Ishii.
2. Data used for assessment of flow pattern maps
For assessment, a part of the flow pattern data contained in TPFDB data bank was used.Currently, this data bank consists of 811 bubbly, 818 slug and 762 annular flow points. Inaddition, it has 64 bubbly-slug and 62 slug-annular transition data points (Table XIX.III). Itconsists mainly of steam-water flow data at reasonably high pressure (>10 bar). Somerefrigerant and air-water data are also included in the data bank. The data bank includes flowpattern data for diabatic and adiabatic two-phase flow. The range of parameters of the flowpattern data for vertical upward flow are given in Table XIX.IV. Since the amount ofdispersed bubbly flow data in the present data bank are very few Taitel et al. criterion I only isconsidered for the assessment.
319
TABLE XTX.I. BUBBLY FLOW TO SLUG FLOW TRANSITION CRITERIA
Author Criteria in JG-JL plane Criteria inOC-JR plane
Taitel et al. I j L = 3jG-1.15
Taitel et al. II
Taitel et al. Ill
Mishima-Ishii
Solbrig
J L + J G = 4 '^D0429fcr / p )°°8 9
.0.072
-|0.446
j G = 1.083 j L
j L = (3.33/ Co -l)jG-(O.76/Co)(agAp/pL2)
Co = 1.2-0.2(pG/pL)1/2 for round tubes
Co = 1.35 - 0.35(po/pL)1/2for rectangular tubes
JG=1.083jL
a = 0.25
a = 0.25 - 0.52
a = 0.52
a = 0.3
a = 0.52
TABLE XDC.II. CRITERIA FOR TRANSITION TO ANNULAR FLOW
Author
Taitel-Dukler
Mishima-Ishii
Solbrig I
Solbrig II
Transition criterion
0.5
f / \ 0.251[<W?L -Po) j
r i025
N i"L
for annular flow with entrainment
a = . /4
a = 2/3
320
10
0.1
0.01
Mishima-lshii
-Taiteletal. I, l l & l
Solbrig
bubbly-slugtransition criteria
_ bubbly Transition toannular flow
0.1 10 100
FIG. XIX. I. Comparison of the various flow pattern maps for air-water flow at 25 °C in a 25.4mm id. tube.
321
10
1 o
-5
-100.0
bubbly
0.2
bubbly-slug
'transition crifefi T"
Transition to
^annularfli
annular
Taitel et al. I, II & III
Mishima-lshii
Solbrig
0.4 0.6 0.8
a1.0
FIG. XIX. II. Comparison of the different flow pattern maps for air-water flow at 25° C and0.1 MPa in a 25.4 mm Id. tube.
322
TABLE XIX.III. FLOW PATTERN DATA
Geo- Fluidmetry
Flow Pattern
B B-S C S- A A- W- F D F B- B TA W A - - A -
B A F
tube
tube
tube
Rectangular
channel
RodBundle
AirWater
SteamWater
R-12
SteamWater
SteamWater
157
84
68
413
89
28
-
-
36
106
303
181
158
70
74 7 49 24
13 26 366 22 31 34
. 94 . . .
- 222 -
29 31 10 36
- - - 422
2 51 4 863
- - - 343
- - - 793
- - - 301
Total 811 64 818 87 62 762 32 55 70 5 2822
B: bubbly flow; B-S: bubbly to slug transition; S: slug flow; C: churn flow; S-A: slug to annular transition; A:annular; AW: annular wavy; WA: Wispy annular; F: froth; DB: dispersed bubble; F-A: froth to annular transition; B-A: bubbly to annular transition; B-F: bubbly to froth transition; T: total data points.
TABLE XIX.IV. RANGE OF PARAMETERS FOR FLOW PATTERN DATA
Serial No.
1
2
3
4
5
6
7
8
Parameter
pressure (MPa)
mass flux (kg/m2s)
hydraulic diameter (mm)
quality (fraction)
JL (m/s)
jo (m/s)
fluid used
geometry of test section
Range
0.1-14
50-5000
5-51
-0.03-0.5
0.05-11
0.0-80
water, R-12 and air-water
round tubes, rectangular channels and rod bundles
323
o bubbly flow data— Mishima-lshii— Taitel et al. I
-7
0.0
FIG. XlXJIIa. Comparison of bubbly flow data with various bubbly-slug transition criteria.
324
70
63-
56-
4 9 -
4 2 -
3 5 -
I
— 28 - I
21 -
1 4 -
7 -
slug flow dataMishima-lshiiTaiteletal. ISolbrig
0.0 0.31
0.41
a
i0.5
1 '0.6
1 1 '0.7
10.8 0.9
FIG. XlX.IIIb. Comparison of slug flow data with various bubbly-slug transition criteria.
325
6 0 -
4 0 -
2 0 -
0 - -
o annular flow dataSolbrig I slug-annular criterionSolbrig II slug-annular criterion
D
n
B
0.0 0.1 0.2 0.3 0.4 a 0.5 0.6 0.7 0.8 0.9
FIG. XIX.IIIc. Comparison of annular flow data with various slug-annular transition criteria.
326
7.0
3.5 -
0.0 - -
-3.5 -
-7.0
o
oo
1 1 1
o tube data
• rod bundle data
Taiteletal. I
Mishima-lshiiSolbrig
0.0 0.2 0.4 a 0.6 0.8 1.0
FIG. XIX.IV. Comparison of bubbly-slug transition data with various bubbly-slug transitioncriteria.
327
- - Solbrig IMishima-lshii
— Solbrigll• tube data• rod bundle data
FIG. XIX. V. Comparison of the slug-annular transition data with various transition criteria atIMP a.
328
It must be mentioned that no filtering/screening of the raw data was done for the steam-water and refrigerant two-phase flow. These data were obtained at relatively high systempressure and the errors due to specific volume change is not significant. However, most air-water data are obtained at near atmospheric pressure and errors due to specific volume changeare significant in some cases. Such data are excluded from the data bank. A large body ofavailable air-water data do not qualify for inclusion in the data bank.
3. Assessment procedure
In principle, the flow pattern transition criteria must be assessed against flow patterntransition data. However, since the amount of transition data are limited, each transitioncriterion is tested with the flow pattern data before and after the transition. For example, thebubbly-slug transition criterion is tested with bubbly and slug flow data. Such an approach isfollowed while testing the transition criteria by Taitel et al. and Mishima-Ishii. However, thisapproach is only an approximate test of the transition criteria as the flow pattern data can belocated far away from the transition point.
The flow pattern transition criteria when plotted in the JG-JL plane, will depend on thetube diameter, pressure and fluid used. Therefore, flow pattern transition criteria need to beassessed for each tube diameter, pressure and fluid. However, Khare et al. (1997) showed thatif the experimental data are plotted in GC-JR plane, then a single graph can be used for the entiredata, irrespective of the fluid, tube diameter, pressure, etc. for the assessment of the bubbly-slug transition criteria proposed by the different authors. Also, the flow pattern data showed adefinite trend when plotted in the OC-JR plane. Therefore, the OC-JR plane was chosen for theassessment of the bubbly-slug transition criteria.
For the above assessment procedure, the void fraction and relative velocity are to becalculated for each flow pattern data. In cases, where the data are available in terms of JG andJL, the JRis calculated as JR = JG-JL- For calculating the void fraction, the Zuber-Findlay (1965)correlation is made use of. It may be noted that JR is always obtained directly from measureddata whereas a is not measured but calculated. In cases, where the data are given in terms ofthe mass flux and quality, the jo and JL are estimated as jo= Gx /po and JL = G(l —X)/PL.
The results of this analysis are shown in Figs. XlX.IIIa, b and c for bubbly, slug andannular flow. The trends of the bubbly and slug flow data given in Figs. XlX.IIIa and bsuggest that an essential requirement for the bubbly to slug flow transition is a near zerorelative superficial velocity. This is further confirmed by the experimental bubbly-slugtransition data plotted in Fig. XDC.IV. The transition data also clearly shows that there is nounique value of a for bubbly to slug flow transition. The transition from bubbly flow to slugflow depends on the relative superficial velocity and void fraction. None of the criteria used inthe present assessment reproduces the trend of the transition data well.
Fig. XIX.V compares the experimental slug-annular transition data contained in the databank with various slug-annular transition criteria. Clearly, none of the proposed criteriareproduces the trend of the transition data. However, the Solbrig I criterion is closer to thepipe data whereas Solbrig II criterion is closer to the rod bundle data indicating that the slug-annular transition criterion can be geometry dependent.
329
Annex A
INTERNATIONAL NUCLEAR SAFETY CENTER DATABASE
A.l. DATABASE PURPOSE AND CONTENTS
The United States Department of Energy (USDOE) and the Russian Ministry of AtomicEnergy (MINATOM) signed a joint statement in September 1995 to establish InternationalCenters for Nuclear Safety. As a result, in October 1995 the International Nuclear SafetyCenter (INSC) was established at Argonne National Laboratory (ANL). The Russian INSCwas established in Moscow in July 1996. Initially hosted at the Research and DevelopmentInstitute of Power Engineering, the Russian INSC is currently an independent organizationwithin MINATOM.
The main goal of the International Nuclear Safety Center is to collaborate with othernations to advance the development and use of nuclear safety technology and thedissemination of nuclear safety information.
A key element for the INSC to accomplish its main goal is the development of anInternational Nuclear Safety database accessible electronically through the World Wide Web.The main purpose of the INSC database is to foster the international exchange of nuclearsafety-related information with the aim of supporting worldwide improvements in civiliannuclear safety.
The International Nuclear Safety Center Database is a comprehensive World WideWeb- based resource for safety analysis and risk evaluation of nuclear power plants and othernuclear facilities all over the world. The readily available World Wide Web technology allowseasy access to the database from anywhere in the world. Although most of the providedinformation is available to the public, mechanisms have been put in place to restrict access toproprietary information only to selected individuals or sites.
Although the scope of the database is worldwide, the current focus is on Soviet-designed nuclear power plants in Russia and Eastern Europe, and on reactor types in Chinaand India. This and the pages referenced hereon provide an outline for the database and serveas a core for further development.
The database is being implemented by the Reactor Analysis Division at ArgonneNational Laboratory using the division's Unix-based workstation network. Informationcataloging and database maintenance is performed with the Oracle® database managementsystem providing controlled access to database elements based on user identity and accesslevel authorization. The database and its content are verified and maintained in compliancewith applicable quality assurance standards and practices.
Currently, the INSC database maintained at ANL contains the following information:
— Basic information on about 600 Power Reactors in 35 countries.
— Links to the US NRC database for plant technical documentation of 113 operable USreactors.
331
— Basic Plant Parameters for other selected reactors.
— Information for 590 Research Reactors in 74 countries.
— Information for 560 Fuel Processing Facilities in 44 countries.
— Bibliography of Reports and Documents.
— Computational Tools and Input Data Sets.
— The database provides access to Material Properties to meet the needs of analysts usingcomputer codes and doing experiments for safety evaluation of nuclear reactors and otherfacilities. The focus is on LWRs, with an initial emphasis on materials unique to Sovietnuclear reactor designs. Categories are Fuel, Cladding, Absorber Materials, StructuralMaterials, Coolant, Concretes, and Severe Accident Mixtures. Part of this database hasbeen established in collaboration with the IAEA.
— Descriptions, summaries, and results of the joint projects between the US and RussianInternational Nuclear Safety Centers.
— Collaboration clipboards are implemented to serve as an electronic forum to facilitatestructured interorganizational communication among the participants of INSC relatedactivities.
— Links to other information resources and databases allow access to additional sources ofinformation interesting for the typical INSC Database user, such as the INSP Database atthe Pacific Northwest National Laboratory.
— Currently under development: thermohydraulics data provided through the IAEA'sCoordinated Research Programme (CRP) on Thermohydraulics Relationships forAdvanced Water-Cooled Reactors.
Through the collaboration between the US and Russian International Nuclear Safetycenters it has been possible to expand the resources of the INSC database, by addingadditional data sources on remote Web sites such as the Russian INSC in Moscow, or otherRussian organizations. The database architecture is such that the resources of the databases atthe US and Russian Centers can be linked together transparently, allowing for a flexible andscalable platform for future development.
There are several institutes in other countries that perform work in collaboration withthe US International Nuclear Safety Center. The database provides links to those institutes andtheir network resources and may hold additional materials regarding collaboration between theUS and other countries in the future.
— A new Lithuanian INSC Web Site was established at the Lithuanian Energy Institute inKaunas, Lithuania. This web site is under development and will provide access todetailed data on Lithuanian nuclear facilities.
— The Nuclear Safety Institute of the Russian Academy of Sciences (IBRAE) maintains aWeb Site and provides access to detailed information on the Kola nuclear power plantand especially its Reactor #4. This data was collected and installed using USDOE fundsand in collaboration with the US INSC. Other projects resulted in the establishment of amaterials properties database for high temperatures to be used for the simulation ofreactor accidents.
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The INSC Database can be reached at:
h t t p : / / w w w . i n s c . a n l . g o v
or, by e-mail, the database manager can be contacted:
[email protected] or by Fax, at (630) 252-6690
A.2. THERMOHYDRAULICS DATA IN THE INSC DATABASE
The database on thermohydraulics data within the INSC database has been initiated as aresult of the Coordinated Research Programme (CRP) on Thermohydraulic Relationships forAdvanced Water-Cooled Reactors established under the auspices of the International AtomicEnergy Agency (IAEA).
Organizations participating in the CRP are providing their experimental data for itsstorage on the INSC database. The thermohydraulics database can be currently reached at thefollowing Web address:
http://www.insc.anl.gov:/thrmhydr/iaea
After the data providers review the contents, the database will be accessible through asubsection in the home page of the INSC database (www.insc.anl.gov).
The current contents of the database are as follows:
— Look-up table for Critical Heat Flux (CHF) in 8-mm tubes, developed by the AtomicEnergy of Canada Limited (AECL) and the Institute of Physics and Power Engineering(IPPE) in Obninsk, Russia.
Look-up tables available provide values of CHF at discrete values of pressure, quality,and mass flux. The ranges of the three parameters are from 0.1 to 20 MPa of pressure,50% to 100 % of vapor quality, and 0 to 7500 kg m~2 s"1 of mass flux.
The database contains multiple tables and graphic representations that permit finding theCHF value for any fix value of one of the three parameters, as a function of the othertwo parameters. The CHF Look-up table is also included in the TECDOC, Chapter 6.
— CHF databank for WWER reactor applications, contributed by the Nuclear ResearchInstitute (NRI), Rez, Czech Republic. This section contains experimental CHF data forWWER fuel bundles, obtained with the SKODA Large Water Loop Test facility. 166CHF data points are provided, along with a description of the facility and experimentalequipment.
— Look-up table for the post-dryout (PDO) heat transfer in tubes, provided by the Instituteof Physics and Power Engineering in Obninsk (IPPE), Russian Federation.
The look-up table was developed for PDO heat transfer in 10-mm tubes. It providesvalues of the PDO heat transfer coefficient for a range of pressures between 4 and
333
20 MPa, mass flux between 250 to 2000 kg m~2 s"1, quality between -0.2 to 2.2, andheat fluxes between 0.2 and 1 Mw iincluded in the TECDOC, Chapter 5.heat fluxes between 0.2 and 1 Mw m 2 . The PDO heat transfer look-up table is also
— Look-up table for CHF in WWER rod bundles, contributed by the Institute of Physicsand Power Engineering (IPPE) in Obninsk, Russia.
The look-up table is applicable to rod bundles with triangular lattice, a heated diameterof 9.36 mm, and a pitch-to-diameter ratio of 1.4. The CHF values in the table are basedon experimental bundle CHF data and predictions based on a semi-empirical model. Therange of applicability of the look-up table is for pressures between 1.5 and 20 MPa,mass fluxes between 220 and 5040 kg m~2 s"1, and qualities between -0.52 and 0.9. Thelook-up table is also included in the TECDOC, Chapter 4.
In preparation — CHF data from low power and low flow experiments, provided by theKorea Advanced Institute of Science and Technology (KAIST).
In preparation — CHF data for high flow and low pressure conditions, provided by the ChinaInstitute of Atomic Energy (CIAE).
In preparation — PDO data for high flow and low pressure conditions, provided by the ChinaInstitute of Atomic Energy (CIAE).
Future additions — Documentation of other thermohydraulics relationships in use in nuclearreactor safety analyses.
334
Annex B
PREPARED METHODOLOGY TO SELECT RANGES OFTHERMOHYDRAULIC PARAMETERS
B.I. INTRODUCTORY REMARKS
The thermalhydraulic phenomena of interest for the study of transient behaviour ofexisting water cooled reactors and for advanced concepts have been discussed in Chapter 2,respectively. An overall view of the foreseeable system behaviour has been given in thatrespect, [see also Aksan and D'Auria (1993 and 1995)].
In the present chapter the attention is addressed towards the phenomena of directinterest to the CRP, i.e. CHF, film boiling and pressure drops. These are described into detailin Chapters 3, 4 and 5, respectively, where aspects like phenomenology, experiments,modelling, and code capabilities are considered. Before such an evaluation, it is worthwhile toconsider the parameters affecting the CHF, the film boiling heat transfer and the pressuredrops together with the respective ranges of interest from a reactor design, operation andsafety analysis point of view.
The activity should be considered as a pilot study: a systematic and final evaluation,specifically including an optimized selection of relevant combinations among ranges, wouldrequire resources that are well beyond the limits of the present activity. However, theobjective can be reached in the present framework of making available ranges of parameterssuitable for evaluating the existing data base, for deriving a more objective judgement aboutcode capabilities and for planning further activities in the area.
With reference to each of the three phenomena, four groups of quantities aredistinguished: this is considered as sufficient information to characterize the phenomenon(Section B.2). Ranges of variations are identified in Section 3B, making reference to thevariables selected in the previous section and to the situations expected to be of interest towater cooled reactors (both current generation and advanced concepts).
B.2. QUANTITIES CHARACTERIZING THE PHENOMENA
Each thermalhydraulic phenomenon, specifically if it occurs during a complex transient,depends upon a large number of parameters. The "importance" on the phenomenon of thevarious parameters is clearly different among each other; a detailed ranking implies the use ofsubjective judgement; the "importance" may be a function of the range of variation of theparameter.
In this context, with the aim of characterizing as far as possible each phenomenon, anattempt is made to select a necessary/sufficient number of parameters suitable for such apurpose. Four groups of parameters are identified, connected, respectively with:
(a) geometry (local and system geometry including microscopic surface geometry);(b) thermalhydraulic boundary and initial conditions (e.g. thermal flux distribution in the
case of CHF and film boiling), including flow conditions;(c) material properties/constitutive laws;(d) transient effects (i.e. time variations of any quantity).
335
B.2.1. CHF
Critical heat flux is important in different conditions of a nuclear plant and may occur indifferent locations (see also Chapter 3): typical conditions are accident (e.g. DBA),operational transient, coupled neutronic thermalhydraulic instabilities (in BWR); typicallocations are core and steam generators (in PWR). However during a LOCA, CHF may occurin the majority of the structures of the primary circuit also affecting the heat release to thefluid. In addition, the knowledge of CHF is of fundamental importance for the fuel design. Areview of the present state of the art including identification of important parameters affectingthe phenomena and predictive capabilities of the models and of associated system codes canbe found in Ninokata and Aritomi (1992) and NED Issue dedicated to the Memory of Prof. K.Becker (1996).
With reference to the four groups of parameters identified above, the considerations andthe choices below are made.
a) Geometry.
The investigation is limited to vertical rod bundles, i.e. at least a 2 x 2 configuration,though other configurations like single rod, single tube, tube bundles, plate, large unheatedcylinder, horizontal or inclined fuel bundle, etc., are of interest in the technology.
hi this assumption, the considered geometric parameters are:
gl) rod diameter;g2) channel equivalent diameter (including the effects of surface roughness, pitch/diameter
ratio, distance from unheated wall, etc.);g3) heated length.
It may be noted that parameters like array type (square or triangular), presence andconfiguration of the fuel box, configuration of the fluid entrance, presence and configurationof spacer grids, presence of oxide layer, roughness, etc., are not directly considered (see theprevious discussion). In addition, equivalent diameter is assumed to include the informationconnected with different geometry related parameters.
b) Thermalhydraulic boundary and initial conditions.
The following parameters are selected:
tl) pressure;t2) liquid temperature at channel inlet;t3) linear power (uniform/constant axial distribution);t4) power shape;t5) channel inlet flow/fluid velocity (i.e. mass flux, assumed to be single phase subcooled
liquid);t6) rod surface temperature.
It is assumed that the values of parameters like channel exit equilibrium quality, flowpattern, local void fraction, etc., can be calculated as a function of the parameters above and
336
below. Rod surface temperature (item t6), has been added for completeness; it depends alsoupon heat transfer coefficient (i.e. from a number of parameters not explicitly reported here)and upon parameters directly considered here. Radial flux distribution in the bundle isassumed flat; so element flux tilt is not considered.
c) Material properties/constitutive laws.
It is assumed that only the fluid and the cladding base material affect the phenomenon.Aspects like oxide/crud formation are neglected together with the internal configuration of therod (cladding thickness, gap conductivity, etc.).
In these assumption the following parameters are considered:
ml) cladding material thermal capacity;m2) latent heat of vaporization;m3) liquid/steam density ratio;m4) surface tension.
d) Transient effects.
Most of the information (both experiments and correlations) connected with CHF isdirectly related to stationary conditions. However, in practical situations, "quasi" steady stateand unsteady conditions must be distinguished. It is assumed that "quasi" steady conditionscan be dealt with stationary conditions as characterized above. In order to stress theimportance of unsteady situations the following parameters are introduced (not exhaustive list;individual time variations of parameters like pressure, flow, etc. can be important, as well ascombinations of simultaneous transients involving flow-pressure-power, etc.; in addition, forthe sake of simplicity, conditions including oscillatory flows are not taken into account):
vl) time variations (slope and duration of the power excursion) of local linear power;v2) oscillations characteristics of local linear power.
B.2.2. Film boiling
In the case of film boiling the same quantities considered for CHF are important andshould be used for defining the Phenomenological Areas (Ph. A.— see below); an exceptionto this is represented by the parameter m3 that seems uninfluent for the film boilingphenomenon, with main reference to the groups of parameters a to d, the following quantitiesshould be added, [see also Hewitt and Delhaye (1992)].
g4) aspect ratio (geometry related parameter assumed representative for simulating radiationheat transfer phenomena);
t7) fluid temperatures inside the channel (both steam and liquid if present or applicable);t8) temperature (including spatial distribution) of the structural materials heat sink;m5) thermal radiation emissivity and absorption coefficient for the fluid;m6) thermal radiation emissivity and absorption coefficient for the structural material.
337
B.2.3. Pressure drops
Pressure drops are clearly important in different (all) the parts of the nuclear powerplants, including primary and secondary loop: their characterization is of fundamental interestfor steady state and transient situations. With regard to both local pressure drop anddistributed pressure drop types, the system geometry plays a decisive role together with thecondition of "fully developed" flow. Strictly speaking, no zone of a typical water cooledreactor can be identified where the "fully developed" flow situation applies, with the possiblepartial exception represented by parts of the tubes in steam generator primary side in WesternPWR equipped with U-Tubes or with Once-Through steam generators.
A systematic and comprehensive search of all the parameters affecting the pressure dropin all the situations of interest in a Water Cooled Reactor, is again well outside the purpose ofthe present activity.
In addition, the consideration of transient situations may imply the introduction ofparameters like the flashing delay, the number of nucleation sites, etc. on the experimentalside, and the consideration of the time derivative terms on the code side.
Considering the above, the field of investigation has been dramatically restricted makingreference to the situation of steady state in a vertically heated boiling channel without internalrestrictions (i.e. spatial grids, obstructions, etc.).
Reference is made hereafter to the total pressure drop per unit length (i.e. Pa/m) in asituation where the "fully developed" flow condition is applicable. It must be noted that thewall-to-fluid friction, the gravity and the "spatial" acceleration, contribute to the consideredquantity, hi the following, parameters affecting the pressure drop per unit length are identified.
a) Geometry.
The drastic assumptions made, bring to these parameters (the "span", characterizes thedistance along the flow direction between two pressure taps that are connected to a pressuretransducer):
gl) channel equivalent diameter;g2) length of the considered span divided by the channel length;g3) bottom elevation of the span divided by the channel length.
Equivalent diameter is assumed, again, to include information connected with differentgeometry related parameters.
b) Thermalhydraulic boundary and initial conditions.
The following parameters are selected:
tl) absolute pressure (at channel inlet);t2) liquid temperature at channel inlet;t3) linear power (uniform/constant axial distribution);t4) channel inlet flow/fluid velocity (i.e. mass flux, assumed to be single phase subcooled
liquid);t5) rod surface temperature.
338
It might be noted that power shape is assumed to have a second order effect if theselected span length over channel length is sufficiently small. Rod surface temperature maysignificantly affect pressure drop specifically in cases where it separates wetted from un-wetted zones. The information about parameters tl, t2, t3 and t4 allows the evaluation of localvoid fraction, local velocities and flow regimes that may have a strong impact on thecalculation of pressure drop (clearly there may be a feedback between these values and thepressure drop value).
c) Material properties!constitutive laws.
hi these assumption the following parameters are considered:
ml) liquid viscosity;m2) steam viscosity;m3) liquid/steam density ratio;m4) surface tension.
It should be noted that a number of parameters connected with the interaction betweenliquid and steam at the interface (e.g. interfacial drag, interfacial area, bubble or droplet sizes,etc., including those causing a flow regime instead of another) may largely affect the pressuredrop. Measurement difficulties suggest not to include these parameters in the list.
B.3. RANGES OF VARIATION
When a reference phenomenon is assigned in reactor safety and design technologies (i.e.one of the 67 phenomena in Chapter 2), the definition of ranges of variations may beimportant in different frameworks:
a) ranges of validity of a correlation;b) ranges of availability of experimental data;c) expected ranges of variations in nuclear power plants.
The ranges of validity of a correlation (item a), imply the knowledge of the ranges ofvariations of relevant quantities considered by the "independent" assessment of thecorrelation. If the correlation (or the model) is implemented in a system code, this also impliesthe verification of the built-up model including the possible influence from other parts of thecode. The ranges of validity also signify suitable ranges of availability (next item).
The ranges of availability (item b), imply the knowledge of the experimental researchescarried out in the scientific community all over the world; suitable data are needed, so aspectslike experimental facility design criteria, boundary conditions for the tests, sources andquantification of errors, quality of instrumentation and of recorded data, must be evaluated, hiaddition, once the ranges needed for the investigation are known (next item), preliminaryscaling studies should be carried out: this could avoid the need of systematically covering, inthe experiments, the whole ranges of selected parameters.
The expected ranges of variations in the plants (item c), imply the knowledge of planttransient scenarios and the deep understanding of phenomena; this, necessarily, also dependsupon activities leading to items a) and b). These links must be recognized, when searching for
339
the ranges of variations in the plants, attentions should also be paid to the interactions amongthe ranges. For instance, in the case of CHF, hypothetical ranges for linear power, pressureand flowrate could be 0.1-50 kW/m, 0.1-20 MPa and 5-30000 kg/m2s, respectively; in thiscase a power of 50 Kw/m may not occur at low pressure; again, the occurrence of the lowflow condition (i.e. 5 kg/m2s) might have very low probability when extreme (high) values ofpressure or power are of interest. As a summary, ranges intersections should beconsidered.
hi addition, Phenomenological Areas (Ph. A.) are introduced in the present analysisconsidering relevant intersections of the parameters ranges (parameters are those defined inSection B.2).
The identification of parameter ranges and, as a consequence, of phenomenologicalareas, include engineering judgement connected with:
(1) choice of relevant parameters: e.g. steam or liquid velocities can be selected instead ofliquid velocity and slip ratio, channel inlet quantities can be selected instead of localquantities;
(2) the consideration of the mutual interactions between various phenomena: CHF may beaffected by pressure drop, so parameters relevant for pressure drop are inherentlyrelevant for CHF;
(3) level of detail of the analytical or of the experimental investigation: the bubblediameters or bubble density may be important parameters to be used in addition to (orinstead of) void fraction; 2-D or 3-D local system behaviour including cross sectionparameter distributions (e.g. velocity profiles in a cross section) may also be important.
Owing to all of the above the present one must be considered as a pilot study; as suchthe ranges of parameters and the phenomenological areas are limited to the CHF phenomenon.
Assuming that zircaloy and water are the only materials involved, in the case of CHF,the characterization of the ranges of parameters becomes simpler; in this case, materialproperties (parameters ml to m6), are implicitly identified and depend upon other parametershere considered: their ranges of variations are not reported here.
B.3.1. Ranges of parameters for CHF
The following ranges apply:
gl) 0.006-0.013g2) 0.002-0.015
g3) 1.0-4.5
tl) 0.1-20.
t2) 0-150.
t3) 0. 1-20.
mm
m
MPa
K
kW/m
(1)
(1)
(11)
(2)
(3)
(4)
340
-
kg/m2s
K
kW/msSHz
(5)
(6)
(7)
(8)(9)
t4) 1-2. 5
t5) 0-15000.
t6) 0-40.
vl) 0-20.1-2.
v2) 0.1-2.5-200% - (10)
(1) this also includes advanced reactor and advanced fuel design;
(2) four sub-ranges identified (these are needed for the definition of the Phenomenologicalareas, see below):
tla) 0.1-2.5 MPa; tlb) 2.5-7.5 MPa; tic) 7.5-16. MPa; tld) 16-20 MPa;
(3) subcooling value;
(4) only the maximum values of the average linear power are considered here;absolutemaximum linear power should be obtained by multiplying this value with the value atitem t4; maximum "transient" power value (i.e. power excursion) needs consideration ofitem vl;
(5) three power shapes identified: t4a (chopped) cosine with central peak; t4b bottompeaked: chopped cosine in the bottom 1/3 of the active length and uniform power in theupper 2/3 of the active length; t4c top peaked: uniform power in the bottom 2/3 of theactive length and chopped cosine in the upper 1/3 of the active length. It is important toadd that all the above is related to a vertical bundle and is not directly applicable to theCANDU geometry;
(6) or0-15m/s;
(7) 0. and 40 K are the minimum and the maximum temperature difference expectedbetween the rod surface and the fluid, respectively;
(8) linear variation of the generated power;
(9) duration of the assumed triangular peak power trend;
(10) amplitude of the power oscillation related to the actual linear power;
(11) in the case of CANDU the upper limit must be extended to 6.0 m.
B.4. PHENOMENOLOGICAL AREAS
The definition of Phenomenological Areas (Ph. A.) constitutes the final step of theactivity and requires additional assumptions. One parameter is assumed as the leadingparameter.
B.4.1. CHF
The system pressure (parameter tl) is assumed as leading parameter and four sub-rangesare identified as given in Section B.3.1 on this basis the following Ph. A. are identified (e.g.PA.l = Phenomenological Area 1; in addition "X" means that the overall range must beconsidered as reported in Section B.3.1):
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tl t2 t3 t4 t5 t6 gl g2 g3 vl v2
PA.1 tla 0-50 0.1-2 t4a 0-2000 X X X X X X
PA.2 tlb 0-100 1-20 t4a,b,c 1000-15000 X X X X X X
PA.3 tic 0-150 1-20 t4a,b,c 1000-15000 X X X X X X
PA.4 tld 0-150 10-20 t4a 5000-15000 X X X X X X
B.5. FURTHER ACTIVITIES
The comparison between the ranges of phenomena available from experimentalprograms, [Aksan and D'Auria (1993)] and the boundaries of the phenomenological areas,might give a direct information about the need for future experiments.
The phenomenological areas can be used to define ranges of validity (or of the bestsuitability) for correlations or codes and, as a follow up of the evolution of codes/correlationdeficiencies, eventually for planning improvements or new developments.
Large amounts of resources can be envisaged for finalizing the systematic approach hereproposed in the areas of planning of new experiments, advanced correlation or new codes.
REFERENCES TO ANNEX B
AKSAN, S.N., et al., 1993, Separate Effect Test Matrix for Thermalhydraulic CodesValidation: Phenomena Characterization and Selection of Facilities and Tests — Vol. Ill,OECD/CSNI Rep. OCDE/GD(94)82, Paris (F).
AKSAN, S.N.,et al., 1994, Thermalhydraulic Phenomena in the CSNI Separate EffectValidation Matrix, Int. Conf. on New Trends in Nuclear System Thermalhydraulics, Pisa (I).
AKSAN, S.N., et al., 1995, Overview of the CSNI Separate Effects Tests Validation Matrix,NURETH-7, Saratoga Springs.
HEWITT, G.F., DELHAYE, J.M., ZUBER, N., (Eds), 1992, "Post-dryout heat transfer",Multiphase Science and Technology, CRC Press.
NINOKATA, H., ARITOMI, M., (Eds), 1992, Subchannel Analysis in Nuclear Reactors;Proc. Int. Sem. on Subchannel Analysis, Tokyo.
NED ISSUE DEDICATED TO THE MEMORY OF PROF. K. BECKER, 1996, J. Nucl. Eng.Design 163 1-2.
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CONTRIBUTORS TO DRAFTING AND REVIEW
Akimoto, H.
Baek, W.P.
Bobkov, V.P.
Cevolani, S.
Chang, S.H.
Chen, Y.Z.
Cheng, X.
Chung, M.K.
Ivashkevitch, A.A.
Leung, K.H.
Macek, J.
Pilkhwal, D.S.
Roglans-Ribas, J.
Smogalev, I.P.
Tanrikut, A.
Venkat Raj, V.
Vijayan, P.K.
Vinogradov, V.N.
Yesin. O.
Japan Atomic Energy Research Institute, Japan
Korea Advanced Institute of Science and Technology,Republic of Korea
Institute of Physics and Power Engineering, Russian Federation
ENEA, ERG/FISS, Italy
Korea Advanced Institute of Science and Technology,Republic of Korea
China Institute of Atomic Energy, China
Kernforschungzentrum Karlsruhe, Germany
Korea Atomic Energy Research Institute, Republic of Korea
Institute of Physics and Power Engineering, Russian Federation
Chalk River Laboratories, Canada
Nuclear Research Institute, Czech Republic
Bhabha Atomic Research Centre, India
Argonne National Laboratory, United States of America
Institute of Physics and Power Engineering, Russian Federation
Turkish Atomic Energy Authority, Turkey
Bhabha Atomic Research Centre, India
Bhabha Atomic Research Centre, India
Institute of Physics and Power Engineering, Russian Federation
Middle East Technical University, Turkey
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