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Page 1: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

Copyright Warning & Restrictions

The copyright law of the United States (Title 17, UnitedStates Code) governs the making of photocopies or other

reproductions of copyrighted material.

Under certain conditions specified in the law, libraries andarchives are authorized to furnish a photocopy or other

reproduction. One of these specified conditions is that thephotocopy or reproduction is not to be “used for any

purpose other than private study, scholarship, or research.”If a, user makes a request for, or later uses, a photocopy orreproduction for purposes in excess of “fair use” that user

may be liable for copyright infringement,

This institution reserves the right to refuse to accept acopying order if, in its judgment, fulfillment of the order

would involve violation of copyright law.

Please Note: The author retains the copyright while theNew Jersey Institute of Technology reserves the right to

distribute this thesis or dissertation

Printing note: If you do not wish to print this page, then select“Pages from: first page # to: last page #” on the print dialog screen

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The Van Houten library has removed some ofthe personal information and all signatures fromthe approval page and biographical sketches oftheses and dissertations in order to protect theidentity of NJIT graduates and faculty.

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HEAT TRANSFER BY NATURAL CONVECTION

IN HORIZONTAL FLUID LAYERS

A STATISTICAL CORRELATION OF EXPERIMENTAL DATA

BY JOHN L. O' TooLE

A THESIS SUBMITTED TO THE FACULTY OF THE DEPARTMENT OFCHEMICAL ENGINEERING OF NEWARK COLLEGE OF ENGINEERING

IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THEDEGREE OF MASTER OF SCIENCE IN CHEMICAL ENGINEERING.

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APPROVAL OF THESIS

FOR DEPARTMENT OF CHEMICAL ENGINEERINGNEWARK COLLEGE OF ENGINEERING

FACULTY COMMITTEE

APPROVED

NEWARK, N. J.JUNE, 1959

Lib raryCollege of Engineering

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THE RATE OF HEAT TRANSFER DUE TO NATURAL CONVECTION UN CONFINED,

HORIZONTAL 0 FLUID LAYERS CAN BE EXPRESSED BY EQUATIONS INVOLVING THE

DIMENSIONLESS PARAMETERS NUSSELT NO,, RAYLEIGH NO., AND PRANDTL NO.,

WHERE RAYLEIGH NO. EQUALS THE PRODUCT OF GRASHOF AND PRANDTL NOS.

STATISTICAL CORRELATION BY STEPWIS REGRESSION OF

EXPERIMENTAL DATA OBTAINED FROM FOUR DIFFERENT INVESTIGATORS, ON BOTH

GASES AND LIQUIDS, YIELDS THREE SEPARATE EQUATIONS CORRESPONDING TO

THREE DISTINCT REGIMES OF CONVECTION. THE TOTAL RANGE SPANNED BY THE

DATA IS FROM THE ONSET OF CONVECTION TO RAYLEIGH = 10 9 .

THE EQUATIONS ARE

RAREGIME RANGE EQUATION

.816INITIAL 1600..3000 Nu = 0.00238(RA)

LAMINAR 3000..105 Nu = 0.221(RA).256

TURBULENT 105°4109 Nu = 0.0891 (RA)·316 (PR)·0853

THE STANDARD ERROR OF ESTIMATE, WHICH IS THE PROBABLE ERROR IN THE

PREDICTION OF NU FROM A REGRESSION EQUATION, IS OBTAINED FOR EACH

REGIME. A VERY HIGH DEGREE OF ACCURACY WAS OBTAINED FOR ALL. CORRELATIONS&

STD, ERROROF ESTI MATE

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TABLE OF CONTENTS

SUBJECT PAGE

INTRODUCTION 1

THEORY 3

EXPERIMENTAL DATA 8

THE CORRELATION

TABLE 1 *I SOURCES OF THE DATA 8

TABLE if As FEATURES OF THE APPARATUS USED BY

SOURCES OF THE DATA 17

TABLE III · EXPERIMENTAL DATA I8.26

TABLE IV P.4 SUMMARY OF REGRESSION ANALYSIS 13

TABLE V · RESULTS OF COMPUTER ANALYSIS 27

TABLE VI COEFFICIENTS OF CORRELATION AND

DETERMINATION 28

FIG. 1 PRANDTL NO. OF AIR VS TEMPERATURE BETWEEN 28 & 29

FIG, 2 THERMAL CONDUCTIVITY OF AIR VS TEMPERATURE'

FIG. 3— NUSSELT No, VS RAYLEIGH No.: EXPERIMENTAL

DATA

FIG. 4 NUSSELT NO. VS RAYLEIGH No.: REGRESSION

EQUATIONS

Flo. 5 - NUSSELT NO./(PRANDTL NO.)• 0853 VS

RAYLEIGH No.: TURBULENT REGIME

APPENDIX 1 DIMENSIONAL ANALYSES 29

APPENDIX Il · DERIVATION OF THE COEFFICIENT OF

THERMAL EXPANSION OF AIR 31

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TABLE OF CONTENTS (CO NT

SUBJECT PAGE

APPEND IX III - CORRECT ION OF THE DATA OF

MULL AND RE (HER 33

APPEND IX 1V - STEPWISE LINEAR MULTIPLE REGRESS ION 35

TABLE OF SYMBOLS 39

BIBLIOGRAPHY AND REFERENCES 40

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HEAT TRANSFER BY NATURAL CONVECTI~N.

iN HORIZONTAL FLUID LAYERS

I NTRODUCT 1 ON

HEAT TRANSFER BY NATURAL OONVECTION IN CONFINED, HOR.ZONTAL~

FLUrO LAYERS WAS FURST INVESTIGATED ~ORMALLY BY BENARD (1)* IN

1901 AND ANALYZED BY LORD RAYLEIGH [N 1916 (2). SUNCE THAT TiME A

CONSIDERABLE AMOUNT OF WORK HAS APPEARED IN THE LITERATURE OONSISTING

LARGELY OF MATHEMATICAL ANALYSES DEFINING THE OONDITIONS UNCER WHIOH

A HEATED LAYER FIRST BEOOMES UNSTABLE AND BEGINS TO OIROULATE. PRIOR

TO 1950 ONLY A SMALL AMOUNT OF EXPERIMENTAL WORK HAD BEEN DONE. SfNOE

THEN, HOWEVER, THREE PAPERS HAVE BEEN PUBLISHED (12, 20$ 21) REPORTING

EXPERIMENTAL HEAT TRANSFER DATA OVER A WIDE RANGE OF THE PHENOMENON

AFTER THE ONSET OF CONVEOTION. WORKING INDEPENDENTLY, WITH DIFFERENT

FLUIDS, AND IN DIFFERENT RANGES, THE AUTHORS DIFFERED IN THEIR

OORRELATIONS AND NO COMPREHENSIVE RELATIONSHIp WAS DEVELOPED.

THIS THESIS PRESENTS AN ENGINEERING CORRELATION BY STEPWISE

MUll'lPLE REGRESSION OF THE AVAiLABLE DATA. THIS METHOD IS A POWERFUL

STATISTICAL TOOL THAT PROVIDES A CORRELATING EQUATION FOR A MUlTIPllOITY

OF PARAMETERS AND, AT THE SAME TIME, YIELDS AN ESTIMATE OF THE AOCURACY

OF THE CORRELATiON AND THE SIGNIFIOANOE OF THE INDIVIDUAL PARAMETERS.

To THE AUTHORtS KNOWLEDGE, THIS THESIS IS THE FIRST USE OF STEPwiSE

MULTIPLE REGRESSION iN THE ANALYSIS AND CORRELATION OF HEAT TRANSFER

DATA.

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THREE OF THE FOUR SETS OF DATA (12, 20, 21) WERE OBTAINED

DIRECTLY FRCM THE AUTHORS ~N THE FORM OF THE D_MENSIONLESS

PARAMETERS NUBSELT. RAYLEIGH, GRASHOF, AND PRANGTL NUMBERS. (THESE

WILL BE ABBREVIATED Na, RA, GR, PR HEREAFTER.) THE OTHER SET (5)

WAS CALOULATED FROM RAW DATA TABULATED IN THE PAPER$

* NUMBERS IN PARENTHESES REFER TO REFERENOES LIBTED IN THE BIBLIOGRAPHY.

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THEORY

THE SYSTEM

WHEN A TEMPERATURE DIFFERENOE Is APPLIED AOROSS A HORIZONTAL

LAYER OF FLUID THAT as INF(NfTE iN EXTENT AND OONFINED BETWEEN

OONDUOTING HORIZONTAL SURFAOES, A TEMPERATURE GRADIENT WILL BE ESTABLISHED

ACROSS THE LAYER AND HEAT wtLL fLOW BY OONDUCTION (AND, IN THE OASE

1, THE HOT SURFAOE is BENEATH THE LAYER, THE FLUID WiLL TEND TO (f/l4t,V,.l(

01 ROULATE ~ to A DENS ITY GRAD lENT AOROSS THE LAYER B NDUOED BY THE

TEMPERATURE GRADIENT. THIS OIROULATION M CONVEOTION RESUL T5 I N AN

- I -

INOREASE IN THE RATE OF HEAT TRANSFER OVER THAT DUE TO OONDUCTION ALONE.

TH8S THESIS OONSIDERS THE MAGNITUDE OF THE HEAT TRANSFER DUE TO

OONVEOTION.

ONSET OF CONVEOTiON

LORD RAYLEiGH (2) FOUND BY ANALYSIS THAT NO OONVEOTION WOULD TAKE

PLAOE UNTIL A ORaTIOAL VALUE OF THE RAYLEIGH NUMBER (RA = GR X PRJ WAS

EXOEEDEDo HIS ANALYSIS HAS BEEN OONrlRMED AND EXTENDED BY OTHERS

(3,4,9, II) AND THE ORITIOAL RA OF 1707.8 OALOULATED BY JEFFRIES (3)

HAS BEE N V E R I FIE D EX PER t MEN TAL L V ( 6 _ 7, to, 1 2, I 4 II 20) I>

HEAT TRANSFER - DrMENSIONAL ANALystS

THE RAYLEIGH - JEFFRlES ANALVSIS DOES NOT YIELD A FUNOTiONAL

RELATIONSHIP BETWEEN THE RATE OF HEAT TRANSFER AND THE SYSTEM VARIABLES

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AND CONSTANTS AFTER CONVECTION HAS BEGUN. THERE HAVE aEEN VERY FEW

ATTEMPTS iN THE L~TERATURE TO DERIVE SUOH A RELAT(ONSH~P CHIEF~Y

BECAUSE THE DiFFERENTIAL EQUATIONS DERiVED FROM THE BASIC FLOW

EQUATION DO NOT YIELD TO liNEARIZATION (16~ 19). HOWEVER~ BATOHELER (16)

HAS DERIVED THE FOLLOWING EXPRESSIONS FOR THE OASE OF CONVEOTION IN

VERTioAL LAYERS:

lAMiNAR RE(UON

TURBULENT REGION

...

... Nu = F OF (RA)o25

Nu = F OF (RA)e33

THE RAYLEIGH - JEFFRIES ORITERION SUGGESTS THAT THE RATE OF HEAT

TRANSFER IS SOME FUNOTtON OF RA AND SUOH A FUNOTION OAN BE DERIVED BY

DIMENSIONAL ANALYSIS.

IF WE POSTULATE THAT AT STEADY"'STATE CONDITIONS THE OVERALL RATE

OF HEAT TRANSFER PER UNIT AREA H IS A FUNCTION OF

AREA BY CONDUOTION AND

~ = THERMAL CONO_CTTVITY OF THE FLUID

T = TEMPERATURE DIFFERENOE

L = THIOKNESS OF THE FLUID LAYER

e = DENSITY OF THE FLUID

~ = DYNAMIC VISCOSITY OF THE FLUID

o = SPECIFIC HEAT AT CONSTANT PRESSURE OF THE FLUID

, - COEFF,OlENT OF THERMAL EXPANSION OF THE FLU.'

Q = GRAV2TATIONAl CONSTANT

(ALL CONSTANTS ARE EVALUATED AT THE MEAN

TEMPERATURE OF THE LAYER)

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THEN THE FOLLOWING ExPRESSION OAN BE DERIVED BY DIMENSIONAL ANALYSIS:(23)

(SEE ApPEND 1')( 1)

F OF (~ G Y L 3 e 2 ) N ( fl'2. )

H Is A FORM OF NUSSELT NUMBER AND fS THE RATfm OF OVERALL KY/L

RATE OF HEAT TRANSFER DUE TO CONVECTiON AND CONDUCTION TO THE RATE OF

HEAT TRANSFER DUE TO OONDUCTION ALONE. WHEN IT is EQUAL TO ONE, NO

HEAT Is BEfNG TRANSFERRED BY OONVECTIONo

~ G T 1.3 f 2 I S THE GRASHOF NUMBER.. t1 CAN BE REGlARDED AS THE 2

R A 1 BOO FeU 0 Y ANT FOR C E S " (~G T)>> TOT HE V I S 00 U s r 0 ROE 15 (r / (' ), 0 F

THE FLUID (22).

THE SISNIF"lCANCE OF THE CRn'()CAL RA DiSCOVERED BY LORD RAYLE1GH ,

THEN, IS THAT THE BUOYANT FORCE DUE TO THE TEMPERATURE GRADIENT IS

BALANCED BY THE vISCOUS FORCES IN THE LAYER UNTIL THE BUOYANT rORot

ATTAtNS A VALUE REPRESENTEP BY THE CRITICAL RA .. WHEN THIS HAPPENS, ('1 ~\A/

FLOW COMMENPES"

....!!2 IS THE PRANDTL NUMBER, WHICH IS THE RATIO OF MOMENTUM D·U-rUSI:vt1Y K

TO THERMAL D1FFUSrVITY IN THE FLUlo;t.E .. , THE RATIO OF THE FLutD

PROPERTY GOVERNING THE TRANSFER OF MOMENTUM BY VISCOUS FOROES TO THE

FLUID PROPERTY GOVERNING TRANSFER OF HEAT BY TEMPERATURE mIFFERENOE.

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THE DIMENSIONAL ANALYSIS ASSUMES THAT HEAT TRANSFER THROUGH THE

LAYER is NOT AFFEOTED BY THE PARTIOULAR GEOMETRY OF THE FLOW PATTERNS

OR THE ABSOLUTE MAGNITUDE OF THE TEMPERATURE DIFFERENCE. 1M ADDITION.

IT ASSUMES THAT THE PHYS!OAL OONSTANTS CAN BE EVALUATED AT THE MEAN

TEMPERATURE OF THE LAYERo

MODES OF CONVEOTION . AFTER THE ONSET OF CONVECTION~ DIFFERENT MODES OF FLOW HAVE BEEN

OBSERVED (6, 7, 8, 12~ 20, 21). INITlALLY THE FLOW TAKES PLACE fN

D1s0REET OELLS THAT HAVE CROSS SECTIONS OF REGULAR POLYG~NS. As RA

INCREASES THE MODE CHANGES AS SHOWN BY CHANGES iN THE SHAPE AND WIDTH

OF THE CELLS. FINAllY, THE ORDERLY CELLS DISAPPEAR ALTOGETHER AS THE

OONVECTION CHANGES FROM LAMINAR TO TURBULENT FLOW.

A NUMBER OF ANALYSES HAVE BEEN PUBLISHED PREDIOTING 1HI RA AT

WHICH MODE TRANSITIONS OOOUR (3, 9, 14), AND SOME EXPERIMENTERS HAVE

TRIED TO CORRELATE THEIR HEAT TRANSFER DATA WITH THE CHANGES IN MODE

THAT THEY OBSERVED. HOWEVER, MALKUS (15, 17) REPORTED THAT THE HEAT

TRANSFER FUNOTION OHANGES ONLY WITH THE CHANGE FROM LAMINAR TO TURBULENT

FLOW AND DOES NOT OORRESPOND TO CHANGES !N MODE WITHIN THESE REGlUES.

FORM OF CORRELATION

THIS THESiS PRESENTS AN EUPER1CAL CORRELATION OF Nu VI THREE

D~UENSIONLESS PARAMETERS ~ RA, PRJ AND A/o 2 , WHERE A/02 IS THE RATte

OF AREA -TO THICKNESS SQUARED OF THE APPARATUS USED IN OBTAINING THE DATA.

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THESE PARAMETERS WERE SELECTED FOR THE FOLLOWINB REASONS:

I. RA IS PREDIOTED BY DIMENSiONAL ANALYSIS.

2~ PR IS REPORTED (20, 21) TO BE AN ADDITIONAL PARAMETER

WITH RA IN THE TU~BULENT REBION.

3. A/o2 I S DES I GNEO TO TEST THE EXPER IMENTAL DATA F'OR

AGREEMENT WITH THE ASSUMPTION OF INFrNfTE EXTENT OF

THE lAYERa

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E:XPEFUMENTAL DATA

SOURCES

THE DATA WERE OBTAINED FROM THE FOUR SOURCES LISTED iN TABLE I~

IN THREE CASES THE DATA WERE OBTAINED DIRECTLY FROM THE AUTHORS. IN

THE OTHER CASE {MULL AND REIHER) RA. DATA WERE TAKEN FROM A TABULATION

IN THE PAPER, AND THE PARAMETERS CAl.OULATED FROM IT.

TABLE

SOURCE AND RANGE OF EXPERIMENTAL DATA

DATE

SOURCE PUBLISHED

DEGRAAF" AND VAN DER HELD(12) 1952

GLOBE AND" DROPK 1 N (21 ) 1958 WATER, ILICONE o U.S 9 MERCURY

MULL ANI!! REI HErd5) 1930 AIR

SCHM I DT AND S H. VESTON (20) 1958 WATER,. GLYCOL~ HEPTANE, SILIOONE 01'1..8

ApPARATUS AND PROCEDURE

RA

RANGE

103 .... 105

r05 .109

10 3 ... 0106

103

... '°5

No. OF"

DATA

26

56

17

106

ALL OF" THE SOURCES OF DATA USED SIMILAR APPARATUS, DIFFERING

PRINCIPALLY iN DETAILS OF CONSTRUOTION AND METHODS OF MEASURING THE

NET RATE OF HEAT TRANSFER. A COMPARISON OF THE iMPORTANT FEATURES OF

* THE1R APPARATUS is MADE iN TABLE II. IN GENERAL g THE FLUID LAYER WAS

CONFINED BETWEEN TWO PARALLEL METAL PLATES AND AN ENCLOSING WALL O~

INSULATING MATERIAL. SPACiNG WAS FiXED EITHER BY SMALL SPACERS BETWEEN

PLATES OR BY THE ENCLOSURE. THE LOWER PLATE WAS EQUiPPED WITH ELEOTRICAL

HEATERS g WHilE THE UPPER PLATE WAS'DESIGNED TO AOOOMMODATE A FLOW OF

COOLING WATER OR AIR. TEMPERATURE DI~FERENCE WAS MEASURED BY

*' Ps. 17

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THERMOCOUPLES EMBEDDED BN THE PLATES. HEAT TRANSFER RATE WAS

CALCULATED EiTHER BY MEASURING THE POWER OONSUMPTION OF THE HEATERS

OR THE HEAT ACQUIRED BY THE OOOLING MEDIUM .. THE PROPERTIES OF THE

FLaRe WERE TAKEN AT THE ARiTHMETIC MEAN TEMPERATURE OF THE HOT AND

COLD PLATES. IN THE EXPERIMENTS ON AIR, THE HEAT TRANSFER DUE TO

RADIATION WAS DETERMINED OVER THE TEMPERATURE RANGE OF THE

EXPERiMENTS BY INVERTING THE NOT AND COLO SURFAOES; I.E .. , BY HEATING

FROM THE TOP""AND OORREOTING FOR CONDUCTION BY CALCULATION. EAOH OF

THE EXPERIMENTAL RUNS WAS OORREOTED BY SUBTRACTING THE APPROPRIATE

RADIATION VALUE FROM THE MEASURED TOTAL HEAT TRANSFER RATE.

THE EXPERIMENTAL PROOEDURE WAS THE SAME FOR All THE SOURCES.

A TEMPERATURE DIFFERENCE WAS APPLIED TO THE FLUID LAYER, THE SYSTEM

WAS ALLOWED TO REACH EQUILIBRIUM AND MEASUREMENTS OF T., T2~ AND Q (OR

ELECTRICAL POWER CONSUMPTION) WERE MADEo

CERTAIN DISCREPANCIES UN EXPERIMENTAL TECHNIQUE ARE WORTHY OF

NOTE BECAUSE THEY BEAR ON THE ACCURACY OF THE DATA.

BOTH GLOBE AND DROPKIN AND SCHMIDT AND SILVESTON, WHO EXPERIMENTED

WITH LIQUIDS, DETERMINED THE HEAT TRANSFER BY MEASURING ELECTRICAL

POWER CONSUMPTION. THE APPARATUS OF THE LATTER WAS ELABORATELY

INSULATED TO GUARD AGAINST HEAT LOSS, AND OORRECTIONS, WHERE NECESSARY,

WER E APPL I ED.. How EVER J GLO BE AND ORO PK I N JI NE I TH ER I NSULA'~'t:O THE I'R

EQUIPMENT NOR CORRECTED FOR lOSS. AT lEAST THE AUTHORS ARE SILENT

ON THIS POINT AND THEiR DIAGRAMS AND DISCUSSIONS REVEAL NO SUCH

PRECAUTlONS. IF SUOH IS THE CASE, THEIR Nu SHOULD TEND TO BE HIGHER

AT PARTIOULAR RA. THE APPARATUS OF DE GRAAF AND VAN DER HELD WAS NOT

INSULATED EITHER, BUT THEY MEASURED THE HEAT TRANSFER RATE BY

MEASURING THE HEAT ACQUIRED BY THE COOLING WATER. IN ADDITION, THEY

CORRECTED FOR EXTRANEOUS LOSSES AT THE SAME T8ME THAT THEY OORRECTED

FOR RADIATION.

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... 10 ~

DE GRAAF AND VAN OER HELD HAVE POINTED OUT (12, 13) THAT

MULL AND REIHER CAL~ULATED THE THERMAL COEFFICIENT OF EXPANSION

FOR AIR INCORRECTLY, USING 1/273 [NSTEAD OF 1fT CI\VG.) THEREF"ORE,

THE DATA OF AND REIHER WAS RECALCULATED BEFORE artNG USED IN

THiS CORRELATION" ApPENDIX I! CONTAINS THE DERiVATION OF A ~ I/TAv90

ApPEND1X I I I DESCRIBES THE CALCULATION OF MULL AND REIHER'S NUSSELT

AND GRASHOF NUMBERS USlNG THE CONSTANTS OF DE GRAAF AND VAN DER HELD

THE EXPERIMENTAL DATA O~N AIR (5,12) WAS PLOTTED BY THE ORIGINAL

AUTHORS iN THE fORM OF Nu VS GR, SINOE PR Is NEARLY A CONSTANT FOA

AIR OVER THE TEMPERATURE RANGE OF THEIR EXPERiMENTS. RA FOR THESE

DATA WAS CALCULATED FROM THE OR.lG:SNAL GR (RECALOULATED 1N THE CASE Of'

MUll" po.NO RElHER) USING THE PR THAT ARE PLOTTED VERSUS TEMPERATURE IN

FiG" I .. ALTHOU\3H TAE VARIATION WITH TEMPERATURE IS NOT LARG!::" THIS

WAS DONE TO REDUCE ERROR IN THE CORRELATION~

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CORRELATION

THE DATA WAS ANALYZED STAT1ST~DALLY BY THE METHOD OF STEPWiSE,

LtNEAR, MULTIPLE, REGRESSiON (25). LINEAR MULTIPLE REGRESSION

CONSlSTS OF F[NDING BY THE METHOD OF LEAST SQUARES THE FUNCTION

OF THE FORM

THAT BEST FiTS THE DATA. THEREFORE, THE HYPOTHETIOAL FUNCTiON

Nu = A (RA)B 1 (PR)B 2 (A/0 2 )B 3 WAS EXPRESSED IN LOGARITHMIC FORM~

THE LEAST SQUARES BEST F1T lS THAT EQUATION THAT RESULTS IN tHE:

MlNtMUM STANDARD DEViATION OF THE DISTRIBUTION OF EXPERiMENTAL DATA

ABOUT THE REGRESSrON. K MORE DETAILED EXPLANATION OF THE METHOD

AND THE INTERPRETATiON OF THE STATISTiCS IS SEVEN [N ApPENDiX IV.

IN STEPWISE MULTfPLE REGRESSION, THE VAR'ABLES ARE ADDED TO THE

REGRESSION ANALYSiS ONE AT A TIME IN THE ORDER OF THEIR CONTRIBUTION

TO THE GOODNESS OF FIT. THIS PROCEDURE HAS SEVERAL ADVANTAGES. AT

EACH STEP IT PRovIDES THE FOLLOWING:

I. A REGRESSION EQUATiON FOR EACH OF THE VARIABLES

INCLUDED IN THE REGRESSION UP TO THAT STEP.

2. AN ESTIMATE OF THE PROBABLE ERROR IN THE PREDlOTION

OF Y FROM THE REGRESSION EQUATloN~

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- 12 -

3. ESTIMATE OF THE PROBABLE ERROR IN THE REGRESSION ~

OOCFFiC~ENTS 8,. 8 2, 8 3 ••••••

4. AN ESTIMATE OF THE SIGNIFICANCE OF EACH VARiABLE

iN THE REGRESSION.

5. REJECT,oN OF INSIGNIFICANT VARiABLES.

THE CALCULATIONS FIRST WERE CARRIED OUT MANU~~LY TO DETERMINE

THE REGIMES INTO WHtCH THE DATA SHOULD SE DIViDED. THEN, FOR ACCURACY.

THE DATA WERE ANALYZED ON AN 1.8.M. 704 COMPUTER USING A STEPWISE.

LINEAR, MULTiPLE REGRESSION PROGRAM DEVELOPED BY THE COMPUTING CENTER

OF THE Esso RESEARCH AND ENGINEERING CO. THE RESULTS OF THE TWO

ANALYSES WERE IN COMPLETE AGREEMENT. TABLE I I 1* LISTS THE EXPERIMENTAL

DATA AND THEIR LOGARITHMS, WHICH WERE THE INPUT TO THE COMPUTER. ALL

THE DATA WERE ASSUMED TO HAVE EQUAL WEIGHT.

RESULTS

THE EXPERIMENTAL DATA CORRELATED IN THREE DISTINCT REGIMES

OF CONVECTION - INITIAL, LAMINAR, AND TURBULENT. THE RANGE COVERED

BY EACH REGIME, THE PARAMETRIC EQUATIONS FOR EACH REGIME, THE

STANDARD ERRCR OF ESTIMATE O~ Nu FROM EACH EQUATION, AND THE STANDA~D

ERROR OF THE COEFFICIENTS. ARE LISTED IN TABLE IV.

*COEFFICIENTS THROUGHOUT THIS PAPER REFER TO THE COEFFICIENTS OF

THE LOGARiTHMIC EQUATION. TH£SE BECOME EXPONENTS OF THE PAR'METERS

IN THE POWER •• W EQUATION.

* TABLE I I I - Ps. 18

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TABLE 11 SUMMARY OF REGRESSION ANALYSI.

STD~ ERROR STD.ERROR OF COEF. OF ESTIMATE RA PA ...... %r..;.......,_

LAMINAR ~',IJ006

TURBUl.ENT

THE FOllO.'N8 CONCLUSIONS. CAN BE DRAWN FROM THE ANALYSIS:

I. CONVECTIVE HEAT TRANSFER IN HORIZONTAL LAYERS CAN BE

EXPRESSED ACCURATELY BY THREE DISTINCT EQUATIONS G

2. Nu CAN BE EXPRESSED AS A SIMPLE POWER LAW FUNCTiON

OF RA, AND, iN THE TURBULENT REGIME, OF RA AND PA.

3. A/0 2 is NOT A SIGNU''"lCANT CORRELATING PARAMETER AND

THE ASSUMPTION OF LAYERS OF iNFINITE HORIZONTAl. EXTENT

IS JUSTiFIED.

+7.19 ... 6.73

THE VALUE OF THE CRITtCAL RA CALCULATED FROM THE EQUATiON OF THE

iNITIAl. REGIME is 1640 .. THIS IS IN REASONABLE AGREEMENT WITH THE

ANALYtiCAL VALUE OF 1707 .. 8 (3) AND WiTH EXPERIMENTAL VALUES REPORTED

IN THE LITERATURE. (6, 7, 20, 21)

IN FIG. 3, Nu VB RA OF THE EXPERIMENTAL DATA Is PLOTTED TOGETHER

WITH THE EQUATIONS OF THE THRE[ REGIMES. THE TURBULENT EQUATION ts

PLOTTED WITH VARIOUS PH AS PARAMETERS. IN FIG$ 5 THE TURBULENT REGIME

/ 0853

IS OOMBINED iNTO ONE EQUATION BY PLOTTING Nu PR- VS RA. IT CAN BE

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~ 14 ...

SEEN FROM THESE FIGURES THAT THREE REG!NES COMPLETELY DESCRIBE

THE DATA4 CHANGES IN MOOE OF CCNVECTtON WITHIN THESE REGiMES

APPARENTLY DO NOT AFFECT THE HEAT TRANSFER tUNCTION.

iN FIG. 4, THE EQUATIONS OF THE THREE ~EaIMES ARE PLOTTED AS

Nu VB RA, SiMILAR TO FIG. 3, EXCEPT THAT THE EXPECTED TRANSITlGNS

BETWEEN LAMiNAR AND TURBULENT REGIMES ARE SHOWN AS DASH EO LINES. IT

CAN BE SEEN THAT THE TRANSITION FROM INiTIAL TO LAMiNAR REGIME IS

SHARR, WHiLE THE TRANSITION FROM LAMINAR TO TURBULENT REGlME DEPENDS

ON THE PR OF THE FLU1@. PREVIOUS INVESTIGATORS HAYE NOT REALIZED THIS.

FLUIDS HAVING A HIGH PR UNDERGO A SHARP TRANSITION, WHILE THOSE WITH

SMALL PH GO THROUGH A MORE GRADUAL TRANSITION~ THE DATA, ALTHOUGH

SPARSE IN THtS REGION, SUPPORTS THIS OONOLUSION EXCEPT FOR MERCURY, WHICH

INEXPLICABLY DEVIATES FROM iTS EXPECTED PATTERN IN THE DIRECTION OF

LOWER Nu ..

I III FIG.. 5 ,t T CAN B ESE EN T HAT THE D A T A I NTH E T RAN SIT I 0 III Ii E G I {l III

OORRELATES WELL WITH THE REST OF THE REGIME$ EVEN THE LOWER MERCURY

POINTS FALL WiTHIN THREE SiGMA LIMITS AND~ THEREFORE, CANNOT BE

E~CLUD[O ON STATISTiOAL GROUNDS. THEREFORE, THE TURBULENT REGRESSION

EQUATION CAN BE USED TO PREDIOT Nu RN THE TRANSITION REGION.

DISOUSSION OF THE ANALYSIS OF DATA

TABLE V* SUMMARIZES THE COMPUTER PRlMT-OUT or THE STEPWISE

REGRESSION ANALYSIS .. AN EXPLANATION or THE STATISTIOS IS GIVEN IN

ApPENDIX IV.

* PG III 27

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SllNIFrCANCE OF THE CORRELATING PARAMETERS

THE COMPUTER ANALYSIS SHOWED THAT All OF THE CORRELATING

PARAMETERS WERE STATISTICALLY SIGNIFICANT IN ALL OF THE REGIMES;

t.E., THE BEST CORRELATION INCLUDED ALL THREE PARAMETERS. HOWEVER.

THE IMPORTANT STATISTICAL MEASURE IS THE DEBREE OF SiGNIFICANCE OF

THE PARAMETERS, WHICH is GiVEN BY THE COEFFICIENTS OF DETERMINATaON.

THESE ARE TAB'I.H.I.TE:D IN TABLE vt~· AT EACH STEP OF THE REGIH:SSIONo

THE OOEFFICIENT OF OETERMINATION (EQUAL TO THE SQUARE OF THE MULTIPLE

CORRELATION COEFFICIENT) MEASURES THE PER CENT OF THE TOTAL VARIANCE

aN Nu ACCOUNTED FOR BY THE REGRESSION AT EACH STEP; i.E., AS EAOH

PARAMETER IS ADDED TO THE REGRESSION ANALYSIS. THE RESiDUAL REPRESENTS

THE VARIANOE IN Nu THAT IS NOT ACCOUNTED FOR BY THE REGRESSION

(SCATTER OF DATA ABOUT THE REGRESSION LlNE) AND IS ASSUMED TO BE

RANDOM ERROR. IT CAN BE SEEN FROM TABLE VI THAT RA IS VERY HIGHLY

SIGNiFICANT WHILE~ EXOEPT FOR ONE OASE, PR AND A/o 2 A~E LESS THAN THE

RES IDUAl6WE CONCLUDE, THEREfORE, THAT PR AND A/o 2 ARE NOT S IQNlf HCAtH

PHYSICALLY AND THAT THE CORRELATION FOUND BY THE REGRESSION IS

SPURIOUS; I.Ee, DUE TO CHANCE. THE VARIANCE REDUCTION ATTRIBUTED TO

PR AND A/D 2 ~s REGARD€D AS ERROR AND THE PROPER REGRESSION 18 THE

RESULT Of STEP ONE, INVOLVING ONLY RA. THE EXCEPTION is PR IN THE

TURBULENT REGIME. ITS SIGNIFiCANCE Is ALSO SHOWN BY THE SUBSTANTIAL

REDUCTION OF THE STANDARD ERROR OF ESTIMATE AFTER PR rs ADDED TO THE

REGRESsiON (TABLE V). FOR THIS REGIME WE CONCLUDE THAT THE PROPER

CORRELATING EQUATION IS THE RESULT OF STEP TWO~ iNVOlViNG RA AND PR.

Page 23: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

THE MULTIPLE CORRELATION COEFFiCIENTS FOR ALL THREE REGIMES

REFLECT VERY HIGH DEGREES OF CORRELATiON. THEREFORE. WE CONCLUDE

THAT THE FUNCTIONAL RELATIONSHIP NW = F OF (RA) OR F OF (RA)(PR)

AOCURATELY DESORIBES THE PHYSiOAl PHENOMENON~ THERE is NO EWtDEHOE

iN THE GRAPHS OF THE DATA TO SUGGEST THAT THERE ARE MORE REGIMES THAN

THE THREE ALREADY DESCRIBED.

STANDARD ERROR ESTIMATE

THE STANDARD ERROR OF ESTIMATE as THE STANDARD DEVIATiON OF THE

DISTRIBUTION OF EXPERIMENTAL VALUES OF Nu ABOUT THE REGRESSIOH. fT

HAS THE USUAL SI~T~STtOAL S1GNIF10ANOE; I.E.# APPRoxiMATELY 2/3 OF

THE DATA (S EXPECTED TO FALL WITHIN t ONE STANDARD ERROR OF ESTIMATE

(S~GMA) OF THE VALUE PREDiCTED BY THE REGRESS~ONo IN THIS CASE, THE

STANDARD ERROR OF ESTIMATE IS GIVEN IN LOGARITHMIC FORM BY THE

REGRESSION ANALYSIS. IN ORDER TO EXPRESS (T IN TERMS OF Nu IT MUST

BE STATED AS A PERCENTAGE. THIS ACCOUNTS FOR THE FACT THAT BTS POSITIVE

AND NEGATlVE NUMERiCAL VALUES ARE DIFFERENT. IF IT is DESIRED TO

CALCULATE TWO OR THREE S$GMA LIMITS, THEN THE LOGARITHMIC VALUE MUST BE

USED TO CALCULATE THE APPROPRIATE PERCENTAGE~

ERROR OF THE REGRESSI0N

THE STANDARD ERROR OF A COEFFICIENT IS A MEASURE OF THE PROBABLE

ERROR (+ ONE SIGMA) OF THE COEFFICIENT ON THE AVERAGE. HOWEVER, IT IS A .... SPECIFIC PROPERTY OF REGRESSIONS THAT THIS ERROR IS NEGLIGIBLE AT THE

CENTER OF THE RANGE OOVERED BY THE EXPERIMENTAL DATA AND LARGE AT EITHER

ENDo (SEE ApPENDIX IV) THEREFORE, THE REaRESSION EQUATION SHOULD NOT BE

EXTRAPOLATED BEY0ND THE RANGE OF THE DATA WITHOUT FURTHER S~BSTANTIATDON.

Page 24: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TABLE 11

COMPARISON OF THE ARATUS USED By THE SOURCES OF THE DATA

DE GRAAF AND VAN DER HELD

MuJ..'l. AN D RE UIER

SHAPE OF FLUID CHAMBER SQUARE PRISM REOTANGULAR PRISM

AREA OF FLUaD CHAMBER, M2

,,0'. AM. OR LENGTH;\VIOTH,

MM

CONTAINER WALL MATERIAL

WAS THERE A GUARD HEATER?

METHOD OF HEATING

METHOD OF COOLING

MAXe TEMPo, DIFFERENOE, C

WERE LIQUIDS DEGASSEO?

METHOD OF PLATE TEMP.MEASUREMENT

METHOD OF HEAT TRANSF'ER MEASUREMENT

RADiATION CORRECT .'ON

430/430

6.9.22 .. 9

GLASS

No

No

ELEOTRIOAL

WATER

146

100

3 THERMO­COUPLESlN

10 10/612

12-196

WOOD

YES

YES

ELEOTRIOAL

WATER

146

29

15 THERMO­COUPLES IN

HOT PLATE; HOT PLATE; MEAN COOLING 6 THERMO-WATER TEMP. COU PL ES tiN

COLD PLATE

HEAT ACQuiRED ELECTR.OA~ BY 'OOOL.'I'NS POWER CON-WATER SUMPTION

YES

GLOBE AND DROPKIN

CYLINDER

0.0'3,0.014

127,134

35 ... 66

VI Pl EX! Ea. AS U ,

"PYFU:X II

No

No

ELECTRIOAL

Au~, WATER

92

27

YES

1 THERMO­COU Pl.£: IN EACH PLATE

ECTRIOAl POWER CON­SUMPTION

SCHMIDT AI«l SU .. VEaTON

C'(ll NO ER

199

1.45 ... 13.0

&tPLEX'f'SLAsM

YES

YES

ELECTRIOAL

WATER

70 (EST.)

50

YES

3 THERMO­COUPLES IN EACH PLATE

EL E<1lTR • CAL POWER CON­SUMPTiON

Page 25: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TA

BtE

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(5

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Page 26: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TABL

E II

r

(Co

rnio

) --

TURB

ULE

NT

RE

GlU

E:

RA

10

5 TO

10

9

SOU

ROE

FL

UIO

R

A

x 10

... 5

PR

A

/o,2

N

u LO

G RA

LO

G PR

lO

G

ALD

2 lo

t N

u.

--

II'

i y--~

GO

IS

O

G .. S

. 4

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.. 6

9 I

I S

U ••

CON

E ou

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40

i5~5

it

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3 8

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69

1

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03

at

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35

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1

17

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3

2.7

7

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22

f .

23

04

"

1.5

14

6

-"

280

17

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3

0.4

7

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72

t.

23

04

it

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48

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49

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. n:

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.3

7.6

94

6

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30

4

It;

1.<l

t535

3 76

0 1

5&

5

It;

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0

7.8

80

8

1.'

90

3

It

1.6

12

8

--.

954

15

. n

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7.9

79

6

I. f

761

n 1

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99

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80

5

17

. it

4

L.6

7

.90

58

t .

23

04

It

1

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91

-.

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15

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6.5

8

" 17

96

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76

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t.6

q7

4

.. 55

27

1241

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6

5.0

8

.. 742

5 T

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it

1

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9

" ..

-..

WAT

ER

2490

20

3 n

33

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8.3

96

2

.36

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lic

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!.52

' 1

(t)

1934

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a~

3041

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9

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1.4

90

0

-. -

J384

2l1

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8

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.,

f .4

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890

3.5

if

2

8.4

7

.94

94

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44

1

It

1.4

53

3

579

3.8

it

2

7.f

7

.76

27

41

5798

It

f .

. 43

30

-

388

4.3

It

2

4.3

7

.. 588

8 .6

33

5

n'

f.3

85

6

183

4.9

i.

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7.2

62

4

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02

it

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56

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.. 7

559

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r.25

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92

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Page 27: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TABL

E II

I (C

ON

TrD

) -

TURB

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NT

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GIM

E:

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105

TO

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SOU

RCE

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RY

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it

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87

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3

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09

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7

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5

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87

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f .6

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15

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tt

30

:67

5.6

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63

45

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7

13

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n

6.2

0

6.

i 206

...

1.64

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tt

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220

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6

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...

1.6

53

6

lct

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8

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96

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.... 1

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5t.

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20

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... t

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25

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Page 28: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TAB

LE II

I (C

ON

TfD

) -

.

lAM

iNA

R

RE

GIM

E:

RA.

3000

TO

10

5

SO

UR

GE

F

LU

,~o

&

PR

p.J

02

Nu

LOB

RA

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oe

PR

LO

G

A/0

2

1..9

6 N

Q.4

> -

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V A

IR

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10

76

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1.5

2

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51

4

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487

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81

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18

6

49

0

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7

61

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06

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6

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0

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2

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14

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54

1

94

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03

7

61

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.50

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40

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15

30

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14

03

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40

00

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09

7

61

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3 .. 6

021

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494

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81

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22

52

80

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226

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55

3

70

70

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07

76

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2

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49

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81

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Page 29: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

lAB

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Page 30: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TABL

E Ilf

(C

ON

T'O

) --~-

LAM

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R R

EGIM

E:

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30

00

TO

10

5

SOU

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to_

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3

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68

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1457

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60

3

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92

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Page 31: Cprht Wrnn & trtn - archives.njit.eduarchives.njit.edu/vol01/etd/1950s/1959/njit-etd1959-002/njit-etd1959... · nu = f of (ra)o25 nu = f of (ra)e33 the rayleigh - jeffries oriterion

TA

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- 28 -

TABtE !l COEF'F':I,Ct EMTS OF MtH. T.

CQRRELATIO.N AND DETt:RMINAT J<JM~

% DUE TO VARIABLE COEF. OF COEF& OF ENTER I,N Q

REG~fME STEP ENTERiNG MU,T.CORRE"'t - MULT., DETERM, % VAR i A Bh.!

INITiAL 1 RA .9624 92.6 92.6 2 PR .9690 93.9 1 .. 3 3 A/o2 .9803 9601 2.2

RES IOU AI.. 3.9 3.9

LAMINAR I RA .9691 93.9 93.9 2 A/o2 .9736 94.8 0.9 3 PR .9758 95 .. 2 0.4

RESIDUAL 4.8 4@8

TURBULENT I RA .. 9302 86.3 86.3 2 PR 09902 98.0 J 1.7 3 A/D2 .9908 98.2 0 .. 2

RESIDUAL fo8 1..8

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-, I .

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... 29 ...

APPENDIX l TRANSFER

DUAENSrONAl ANALYSIS OF' HEAT~BY CONDUCTION AND CONVECTH1N ACROSS

A HORIZONTAL FLUID LAYER, BOUNDED BY INFINiTE, RiIID, CONDUOTING

SURFACES AND HEATED FROU BELOW.

ASSUMPTiON:

IF THERE IS NO CONVECTION, HEAT WILL BE TRANSFERRED ONLY BY

OONDUCT'ON ANa THE HEAT TRANSFER RATE PER UNIT AREA CAN BE EXPRESSES

AT STEADY-STATE CONDITIONS WHERE HEAT 1$ BEING TRANSFERRED BY BOTH

CONDUCTION AND CONVECTioN THE NET HEAT TRANSFER RATE PER UNIT AREA~

HCC$ WILL BE LARGER THAN Hc SO THAT

Hcc = Hcc = A FUNCTION OF T$L» AND THE FLUID CONSTANTS.

H·c 'I$ST /L

THE FOLLOWING WiLL BE THE BASiC UNITS:

T LENGTH L HEAT QUANTITY - Q

MASS .... M TEUPERATURE ... T

THEREFORE THE PHYSIOAL CONSTANTS AND VARIABLES WILL HAVE THE FOLLOWING

MEASUR E: FOR MULAI:::

K = THERMAL CONDUCTIVITY

T TEMPERATURE DiFFERENCE

D = DEN$ lTY

M DYNAMIC VISCOSITY

c = SPECIFIC HEAT(AT CONSTANT PRESSURE)

OOEFFIOIENT or THERMAL EXPANSION

:: ACCELERATION DUE TO GRAVITY

::::: FORO~ or 8UOYANCY PER UNIT MASS

T

M/L3

M/LT

Q/TM

I/T

L/T2

L/T2

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- 30 ...

CAGT) REPRESENTS TR£ BUOYANCY FOROE IN THE FLUID UNDER THE

INFLUENCE CF A TEMPERATURE-iNDUCED DENSITY GRADIENT AND IT is

CONVENIENT TO TREAT IT AS AN ENTITY HAVING THE UNITS l/T2.

IF WE POSTULATE THAT

TNEN THE EXPRESSION 'N PARENTHESES MUST BE DIMENSIONLESS, THAT fS

(M/l3) A (l) B (MilT) C (Q/Tl T) D {Q/rM)E (l/T2)F

THEREFORE~ EQUATING THE SUM OP THE EXPONENTS OF INDIVIDUAL

DIMENSIONS ON THE RIGHT TO ZERO, WE OBTAIN THE FOLLOWING tNOrCIAL

EQUATIONS:

o + E :: 0

"'D ... E :::: 0 ... C ... D ... 2F = 0

.,

RETAINiNG E AND~F WE CAN EXPRESS THE REMAINING aNDICES AS

FOLLOWS:

A ~ 2F C :::;: E'" 2F

B :::: 3F

THEREFORE

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- 31 ...

APPEND IX

FOR BASES, THE THERMAL OOEFFIOIENT OF EXPANSION "IDS EQUAL TO

I /T08 WHERE TO C MEAN ABSOLUTE TEMPERATURE.

CONSIDER A OONF~NED HORIZONTAL LAYER OF GAS, AT ATMOSPHERIO

PRESSURE. AOROSS WHIOH A TEMPERATURE GRADIENT T2 ... TI HAS eEEN

APP1.IEI3.

T ::::::; ABSOLUTE TEMPEAATURE OF THE HOT SURFAOE '2

TI :: ~ ~ tt n OOL D SURFAOE

To ::::: MEAN ABSOLUTE T EM PER A Ttl A E

::::: 00EFFI01ENT OF THERMAL EXPANS ION,

T ::::::; T2 ... T ::::: 0 TO -T, = (T 2 ... T 1)/2

ASSUMING CONSTANT PRESSURE THROUGH THE LAYER AND V~~IDITY OF THE

PERFEOT GAS LAW> THEN

V2 .... VI = NR (T 2 ... T I) ::::: Va (T 2 '"" T I ) P -To

V "" VI C V (I + ~ T) ... Vo ( 1 .... f1'T) ::: Va(2~T) =: V ~ (T ... T ) 2 0 021

TN ER EFORE

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- 32 ~

THE EXPRESSION V - Va (1 + T) IS BASED ON THE ASSUMPTION THAT

IS A OONSTANT$ THIS is VALID ONLY OYER SMAL~ INOREM£NTS OF

TEMPERATURE~ TAK[NG~ AT THE MEAN TEMPERATU~E INSTEAD OF TI OR T2

IS MOR£ ACCURATE BECAUSE aT REDUCES THE ~NTERVAL OVER WHICH IS

ASSUMED CONSTANT, AND BECAUSE ERRORS TEND TO CANOEL OUT.

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"" 33 ...

APPENDIX ill

CORREOT10N OF T~E DATA OF MULL AND REIHER (5)

THE DATA OF BOTH MULL AND REIHER (5) ANG DE GRAAF AND

VAN DER HELO' (COMMUW·IOATION FROM THE AUTHORS) OONTAINS TABULATIONS

OF THE FOLLOWING QUANTITIES:

GRASHor No. AND NUISELT No.;

THERMAL CONDUOTiVITY OF AIR AT DIFFERENT TEMPERATURES.

TI AND T2• THE TEMPERATURE GRADIENT AOROSS THE LAYER;

L. THE LAYER THIOKNESS~

DE GRAAF AND VAN DER HELD HAVE SHOWN BY RECALCULATION OF MULL AND

RE1HERtS [lATA (13) THAT THESE AUTHORS USED 1/273 AS THE COEFFICIENT

OF THERMAL EXPANSloN FOR AIR AND THAT THEY USED DIFFERENT VALUES

FOR THE CONSTANTS IN GR AND Nu. A MORE ACCURATE VALUE FOR THE

I EXPANSiON COEFFICIENT IS /TAVa (SEE ApPENDiX I I) WHERE TAVG IS THE

MEAN ABSOLUTE TEMPERATURE iN THE LAYE~~

IN ORDER TO PUT ALL THE AIR DATA ON THE SAME BASIS, THE DATA

or MULL AND REIHER WAS RECALCULATED USING I/TAVG AND THE CONSTANTS

(THERMAL OONDUCTIVITY$ DENSITY, AND VISCOSITY) OF DE GRAAF AND

VAN DER HELO, SiNCE THEIR WORK WAS MUCH MORE RECENT THAN THAT OF

MULL AND RE I HER(4.

THE CORRECTIONS WERE MADE AS FOLLOWS:

NUSSEt T No I)

NU:::J H KT /1.

WHERE H - MEASURED RATE or HEAT TRANSFER

PER UNIT AREA DUE TO CONVEOTION

AND OONDUOTION

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APPENDIX

K :::: THERMAL CONDUCTIVITY

T ~ TEMPERATURE DIFFERENCE

ACROSS THE LAYER

L = LAYER THIOKNESS

FJB~ 2 SHOWS THE THERMAL OONDUOTIVITIES VS TEMPERATURE USED

BY 80TH MULL AND REIHER AND DE GRAAF AND VAN DER HELD. THE CURVES

ARE PLOTTED FROM TABULATIONS IN THE RESPEOTIVE AUTHOR'S DATAe

CORREOTlON WAS MADE AS FOLLOWS:

CORRECTED Nu ::: ORIGiNAL Nu X K OF MULL AND REIHER K OF DE GRAAF & VAN DER RELD

GRASHOF' No,

GR ~@G T L3 e 2 WHERE .(1 :::: THERMAL CO E F F i C lEN T OF

2 r EXPANSiON

G :::: GRAVITATIONAL OONSTANT

T :::: TEMPERATURE DIFFERENCE

AORO 5S THE LAYEF!

L :::::: LAYER THICKNESS

P - DENSITY

~ ::::: VISCOSITY

TAVG :::: MEAN ABSOLUTE TEMPERATURE

CORREOTION WAS MADE AS FOLLOWS:

GR OF DE GRAAF AND VAN DER Hn.o a~G e2 :::: Z

.),t, 2

Z WAS PLOTTED AGAINST TAVG. THEN, FOR EACH OBSERVATION OF MULL AND

REIHER, Z WAS TAKEN rROM THE OURVE AT THE APPROPRIATE TAVG AND

T.L 3 0 f' Mu L L A NO REI HER X Z ::0 COR RE:O TED G R

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- 35 -

APPENDIX IV ""'*"'*" - il:O_ """"'-"

STEPWISE MULTIPLE LiNEAR REGRESS ION

REFERENOES: 25. 26, 27, 28, 29

MULTIPLE LINEA~ REGRESSION

MULTIPLE LiNEAR REGRESSION BV THE METHOD OF LEAST SQUARES

CONsiSTS OF F[NDING THE CONSTANT AND COEFFICiENTS OF AN EQUATION OF

THE FORM

Y =.A + 81 XI + 92 X2 + B3 X3 ~IHI $. WHERE Y :::: PREDICTED VALUE 01'" THE DEPENDENT VARIABLE

Y :::::: MEASUR EO VALUE ,. u 1'1 U'

X :;::: ARBITRARY VALUES OF THE INDEPENDENT VARIABLES

X ::: ME ASUR ED VALUES 11 it It " A ::::: CONS TANT ::::: Y INTERCEPT

8 :.:::: COEFFIOIENTS OF THE INDEPENDENT VARIABLES

Y ::::: AVER AGE OF MEASURED DEPENDENT VARIABLE

X :::: AVER/H~E OF ME ASUR ED INDEPENDENT VARIABLE

• :::::: STANDARD DEVIATiON

V ::::: VARIANOE :::: S2

N ::::: NUMBER OF OBSERVATIONS OR PIEOES OF' DATA

§o THAT THE SUM OF SQUARES OF THE DEVIATlONS (V ~ Y) IS A MINIMUM~

FOR THE CASE OF SIMPLE REGRESSION, THE OALOULATION PROOEDURE CAN

BE EXPRESSED AS FOLLOWS:

(VI ~ YI) ~ VI • (A + 8 XI) - VI - A - B XI

i (y • y)2 =fJV'" 11.\ • BX)2

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To SOLVE FOR II AND B WHEN

( V ... II ... BX)2

THESE EQUATIONS REDUCE TO THE FOLLOWING INVOLVING SIMPLE

2 SUMMATIONS CN V, X, X 3 AND XV:

... Z(y) + AN + B i.(x) =: 0

... z (x y) + A (X)\ + B (x 2) !II:: 0

THE SUMMATION EQUATtONS CAN BE SOLVED SIMULTANEOUSLY FOR A AND 8,

BUT IN PRACTICE THESE EQUATIONS ARE COMBINED, ELIMiNATING A, SOLVED FOO

B, AND A IS DETERMINED FROM

V = A + B X.

IN MULTIPLE REGRESSION, THERE ARE ADDITiONAL EQUATIONS FOR EAOH

VARIABLE ADDEDIII

THESE ARE SOLVED SIMULTANEOUSLY FOR 911 82' B3 ••••• AND A IS

FOUND FROM

ha STEPwiSE PROCEDURE THE StMULTfoJIl EOUS EQUATIONS ARE SOLVED rOR

ONE VARIABLE AT A TIME BY MATRIX ALGEBRA, WHICH SIMPLIFIES THE

PROCEDURE (25). AT EACH STEP STATiSTICAL iNFORMATION IS OBTAINED THAT

PERMITS EVALUATION or THE SiGNIFiCANOE or THE OORRELATING PARAMETERS.

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.... 37 -

STANDARD ERROR OF ESTIMATE AND CORRELATION COEFFIOIENi

THE BAsro APPROACH Ot LINEAR REGRESSION MAY aE DESCRIBED AS

FOLLOWS:

IF THERE is NO CORRELATION BETWEEN THE DEPENDENT AND AN

tNOEPENDENT VARIABLE, THEN THE BEST ESTIMATE OF Y Is ~ AND THE

PROBABLE ERROR OF ESTIMATE Is Sy, THE STANDARD DEVIATION. IF THERE IS

CORRELATION BETWEEN Y AND X, THEN THE REGRESSiON CAN BE REGARDED AS

ACCOUNTING FOR SOME OF THE VARIANCE (EQUAL TO Sy2) [N y. THE RESIDUAL

VARIANCE WHICH THE REGRESS ION DOES NOT ACOOUNT FOR is REGARDED AS

ERR 0 R OR MAY BED U E TOO THE R PAR AM E T E R S J SUO HAS PR ! III THE T U R 8 U LEN T

THE MEASURE OF THE RESIDUAL ERROR VARiANOE IS

(y ~ y)2 = V = MEAN SQUARE OF RESIDUALS OF

WHERE OF = DEGREES O~ ~REEOOM

= N ~ NO. OF OONSTANTS IN TH[

REGRESSION EQUATION@

Sy, THE STANDARD DEVIATION O~ THE RESIDUALS OR

STANDARD ERROR OF ESTIMATE.

THEREFORE»

TOTAL VARIANCE 8N Y'" EPt:ROR VARIANOE:: VARIANOE OONTRHlUTlON

IF ALL THE EXPERIMENTAL DATA WERE TO FALL ON THE ~EGRESSION LtNE,

THEN ALL OF" THE VARIANC( IN Y WOULD BE ACOOUNTED FOR 13'1' THE 'REGIHSS&ON

OF Y UPON X AND THE RATIO

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... 38 M

APPENDIX 11. (CONT'O)

WHERE Sx AND VX REFER TO THE Y VARIANCE OONTRIBUTIONS OF X.

fS THE OOEFFIOIENT OF MULTIPLE CORRELATiON.

VARY BETWEEN 0 AND ONE DEPENDING ON THE SiGNIFICANOE

OF THE CORRELATION.

OF MULTIPLE DETERMfNATION.

IT fS A MORE ACCURATE ESTiMATE OF SIGNIFICANCE, SINCE VARIANCES

ARE ADDITIVE.

ERROR OF THE REGRESSION

ASSUMiNG THAT PERFECT CORRELATiON HAS NOT BEEN ACHIEVED, THE

COEFFICIENTS OF THE REGRESSION ARE SUBJECT TO UNCERTAINTY AS MEASURED

BY THE STANDARd ERROR OF THE COEFFICIENTS. iT CAN BE REGARDED AS THE

STANDARD DEVIATION OF THE POPULATION OF REGRESSION LINES THAT CAN BE

DRAWN THROUGH INDiViDUAL EXPERIMENTAL DATA AND THE POINT X, Y SINCE

x, Y MUST BE A POtNT ON THE REGRESSION LINE. THEREFORE, THE UNCERTAINTY

IN THE COEFFICIENT WILL BE ZERO AT i, ~ (ASSUMED TO BE NEAR THE CENTER

OF THE RANGE OF DATA) AND LARGE AT EITHER END. THAT IS, THE REGRESSION

LINE CAN BE VrSUALIZEC A8 PIVOT1NG ABOUT X, Y AS FAR AS ITS P~OBABLE

ERROR IS CONOERNED. THE EFFECT OF THIS PROPERTY OF REGRESSldNS IS TO

INOREASE THE PROBABLE ERROR OF THE REGRESSION AT THE EXTREMES OF THE

RANGE OF DATA AND TO MAKE EXTRAPOLATION BEYOND THAT RANGE HAZARDOUS.

EQUATfONS FOR ESTIMATING PROBABLE ERROR AT ANY POINT ON A REGRESSION

ARE GIVEN IN THE REFERENCES.

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T

To

TI ... T2 , T

K

fl

f E'

L., 0

A

C

Q

H

V

S

Sy

Sa

B

lOG A

Nu

RA

GR

PR

A/o2

:=

:=

:=

::::

==

:=

::

::::I

::::I

::::

::

::

:=

:::Ii!

::::

::::

::

-:::;:;

::::

:=

:::

#

SYMBOLS

ABSOLUTE TEMPERATURE

ABSOLUTE MEAN TEMPERATURE OF THE LAYER

TEMPERATURE DIFFERENCE

THERMAL CONDUOTIVITY

V J SCO S I TY

THERMAL COEFFiCIENT OF EXPANSION

DENS1TY

LAYER TH!CKNESS

AREA

SPECIFIC HEAT

HEAT QUANTITY

RATE OF HEAT TRANSFER PER UNIT AREA

VOLU ME

STANDARD DEVIATION

STANDARD ERROR OF ESTiMATE

STANDARD ERROR OF THE COEFFICIENT

OOEFFIOIENT OF LOGARtTHMIO EQUATION AND EXPONENT

OF POWER LAW EQUATION

CONSTANT Of LOGARITHMIC EQUAT!ON

Nuss EL T NO e

RAYLEIGH No. :: GR X PR

GRASHOF No o

PRANDTL No.

RATIO OF AREA TO THIOKNESS SQUARED OF EXPERIMENTAL

APPARATUS

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... 40 "

B I Bli OGRAPHY

(I) BENARD, H. g ANN. CHEM. PHYS.a 23, 62 (190t) (REPORTED IN 12, 20)

(2) lORD RAYLEHlH, P'IlIL. MAG o , 32, 29 (1916)

(3) JEFFREYS, H.~ PHt<l.. MJUle, 2,833 (1926) AND ROYAL SOCe LONDON.II PROC. A., 118.11 195 (1928)

(4) low, A. R., ROYAL SOC. LONDON, PROC. A, 125, 180 (1929)

(5) MULt, I., AND REIHER, H .. , BErH .. Z. GESUNDHEITS * INGe, SERIES 1,28 (1930) ,

(6) SCHMIDT, R. J .. , AND MILVERTON, S. W., ROYAL SOC. LOND9N, PRoe. A, 152, 586 (1935)

(7) SCHMiDT, R. J., AND SAUNDERS, O. A., ROYAL SOC. LONDON, PROO. A, 165, 216 (1938)

(S) CHANDRA, K., ROYAL SOC. LONDON, PROC. A, 164, 231 (t938)

(9) PELLEW, A. , AND SOUTHWELL, R. V., ROYAL Soe. LONDON, PRoe. A, 176, 312 (1940)

( 10) JACOB. M .. , TRANS. ASME, 68, IS9 ( 1946)

(II) SUTTil2N , o. G., ROYAL Soo. LONDON, PROO. A, 204, 297 (l95f)

( '2) DE GRAAF, J.~.A., AND VAN DrR HELD, EoF .. M .. , ApPLt. SO'8 • R'ES .. A, THE HAGUE, 3, 393 ( 1952)

( 13) DE GR AAF , J .. G .. A .... AND VAN DrR HELD, E .. F.M .. , ApPLti~SO 'i. RES. A, THE HAGUE, 4, 460 ( 1954)

( 14) MAlKUS, W~V.R .. , ROYAL Sao. LONDON, PRoe. AO Il 225,185 (1954)

( 15) at it II It It II et 225,,196 (1954)

( 16) BATOHELOR" G. Ko,jll Qu AR T. App .. MATH .. , 12, 209 ( 1954)

( 17) MAlKUS, w. V. R .. , AND VERON IS, G., J .. FLUID MECH., 4, 225 ( 1958)

(rs) PEARSON, J. R. A •• J .. FLUID MEOH .. , 4, 489 (1968)

(19) POOTS, G., QUART. J. OF MECH. AND App. MATH., PT. 3, 11, 257 (1958)

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... 41 ...

&IBLIOGRAPHY (CONTIO)

(20) SCNM1DT g R. J., AND SSLVESTON, p. l., 2ND NAT. HT. TRANS. CONF.jI AICHE - ASME, CHICAGO" PT. 24, (1958)

(21) GLOBE, S., AND DROPKJN, D., 2ND NAT. HT. TRANS. CONF • ., AtCHE .... ASNIE, CHIOAGO, 58-HT ... 21 (1958)

(22) nAN INTRODUCTiON TO HEAT TRANSFER" BY M. FJSHENDEN AND O. A. SAUNDERS OXFORD (1950)

(23) ·PHYSIOAL SIMILARITY AND DIMENSIONAL ANALYSIS" BY Vi.. J. Du N CAN EDWARD ARNOLD & CO., LONDON (1953)

(24) HILSENRATH, J., ET Al., NAT@L. BUR. OF SToS. CIRO. 564, 1955 ~EPORTED IN ~PROPERTIES OF GASES AND LIQUIDS· BY R. C. REID AND T. K. SHERWOOD, MOGRAW HILL, N. Y. (1958)

(25) "STEPWISE PROCEDURE FOR CALOULATiON OF MULTIPLE REGRESSION" BY M. A. EFROYMSON Esso RESEARCH AND ENGJNEERING CO., LiNDEN, N. J. DELIVERED AT GORDON RESEARCH CONFERENCE ON STATISTICS, AUGUST i-12, 1955

(26) "ELEMENTARY STATISTICAL ANALYSiS" BY S. S. WILKS PRINCETON UNIV. PRESS, PRINCETON, N. J. (1948)

(27) "METHODS OF STATISTICAL ANALYSIS· BY C. H. GOULDEN JOHN WilEY & SONS, N. Y. (1939)

(28) IISTATISTICAL METHODS IN RESEAROH AND PRODUCTION" BY O. L. DAVIES, OLIVER ANO BOYD, LONGON (1949)

(29) "METHOOS OF CORRELATION ANALYSIS" BY M. EZEKUEJ.., JOHN WILEY AND SONS, N. Y. (1941)