Prediction of Prediction of Prediction of Prediction of Conv onv onv onv Conditions f onditions f onditions f onditions f Thomas Frank (1) , Am Fl (2) TU M Abstract The paper covers the project res for the Prediction of Critical He predictive capabilities of ANSYS boiling up to flow conditions clo chosen Eulerian multiphase flo facilities and experiments with involves the combination of co together with discrete populatio the inhomogeneous MUSIG mod The first studied application ca Thermodynamics for convective heater under atmospheric pressu CFD modeling has been applied at KIT, Inst. Thermal Process Tec water vapor system under mod insight in the established state predictive capabilities and will pr Fig. 1: Temperature distribution outer Duran glas wall of the COS vective vective vective vective Boiling up to oiling up to oiling up to oiling up to Critical ritical ritical ritical Heat eat eat eat F for for for for Test est est est Facilities with acilities with acilities with acilities with Vertical ertical ertical ertical Heat eat eat eat mine Ben Hadj Ali (1) , Conxita Lifante (1) , Moritz Br lorian Kaiser (3) , Henning Eickenbusch (1) (1) ANSYS Germany GmbH München, Lehrstuhl für Technische Thermodynam (3) KIT / IKET sults of ANSYS Germany in a 3-years R&D conso eat Flux – NUBEKS”, where the main goal was S CFD for the coverage of flow regimes from ose to critical heat flux (CHF). The paper will prov ow modeling concepts and their application to comparison to validation data. The CFD simu onjugate heat transfer (CHT), the extended RP on balance and flow regime transition modeling, del. ase is the test facility operated by the TU Mun wall boiling of a NOVEC 649 refrigerant heated ure conditions. As a second validation experimen to first available experimental data from the CO chnology for investigation of flow conditions clos derate pressure of up to 2-3 bar. The presenta e-of-the-art of wall boiling prediction by means rovide an outlook for possible future developmen n in Zirconium alloy heater rod, circular annulu SMOS-L test facility for step-wise increased wall h Flux lux lux lux (CHF) (CHF) (CHF) (CHF) ters ters ters ters ruder (2) , mik ortium “CFD Methods the improvement of nucleate subcooled vide an insight in the o two different test ulation methodology PI wall boiling model commonly known as nich, Dept. Technical by a massive Copper nt the derived ANSYS OSMOS-L test facility se to CHF for a water- ation will provide an s of CFD, its current nt. us fluid domain and heat flux up to CHF.
1
Embed
Prediction of Prediction of CCCConvective Boiling up to ...€¦ · TTTest Test est FFFFacilities with acilities with acilities with VVVVertical ertical ertical HHHHeaters Hadj Ali
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Prediction of Prediction of Prediction of Prediction of CCCConvective onvective onvective onvective
CCCConditions for onditions for onditions for onditions for
Thomas Frank (1)
, Amine Ben
Florian Kaiser
(2) TU M
Abstract
The paper covers the project results of ANSYS Germany in a 3
for the Prediction of Critical Heat Flux
predictive capabilities of ANSYS CFD for the coverage of flow regimes from nucleate subcooled
boiling up to flow conditions close to critical heat flux (CHF). The paper will provide an insight in the
chosen Eulerian multiphase flow modeling concepts and their application to two different test
facilities and experiments with comparison to validation data.
involves the combination of conjugate heat transfer (CHT), the extended RPI wal
together with discrete population balance and flow regime transition modeling, commonly known as
the inhomogeneous MUSIG model.
The first studied application case
Thermodynamics for convective wall boiling of a NOVEC 649 refrigerant heated by a massive Copper
heater under atmospheric pressure conditions. As a second validation experiment the derived ANSYS
CFD modeling has been applied to first available experimental data from t
at KIT, Inst. Thermal Process Technology for investigation of flow conditions close to CHF for a water
water vapor system under moderate pressure of up to 2
insight in the established state
predictive capabilities and will provide an outlook for possible future development.
Fig. 1: Temperature distribution in Zirconium alloy heater rod, circular annulus fluid domain and
outer Duran glas wall of the COSMOS
onvective onvective onvective onvective BBBBoiling up to oiling up to oiling up to oiling up to CCCCritical ritical ritical ritical HHHHeat eat eat eat FFFF
onditions for onditions for onditions for onditions for TTTTest est est est FFFFacilities with acilities with acilities with acilities with VVVVertical ertical ertical ertical HHHHeaterseaterseaterseaters
Amine Ben Hadj Ali (1)
, Conxita Lifante (1)
, Moritz Bruder
Florian Kaiser(3)
, Henning Eickenbusch (1)
(1) ANSYS Germany GmbH
TU München, Lehrstuhl für Technische Thermodynamik
(3) KIT / IKET
covers the project results of ANSYS Germany in a 3-years R&D consortium
for the Prediction of Critical Heat Flux – NUBEKS”, where the main goal was the improvement of
predictive capabilities of ANSYS CFD for the coverage of flow regimes from nucleate subcooled
boiling up to flow conditions close to critical heat flux (CHF). The paper will provide an insight in the
rian multiphase flow modeling concepts and their application to two different test
facilities and experiments with comparison to validation data. The CFD simulation methodology
involves the combination of conjugate heat transfer (CHT), the extended RPI wal
together with discrete population balance and flow regime transition modeling, commonly known as
the inhomogeneous MUSIG model.
studied application case is the test facility operated by the TU Munich, Dept. Techn
cs for convective wall boiling of a NOVEC 649 refrigerant heated by a massive Copper
heater under atmospheric pressure conditions. As a second validation experiment the derived ANSYS
CFD modeling has been applied to first available experimental data from the COSMOS
at KIT, Inst. Thermal Process Technology for investigation of flow conditions close to CHF for a water
water vapor system under moderate pressure of up to 2-3 bar. The presentation will provide an
insight in the established state-of-the-art of wall boiling prediction by means of CFD, its current
predictive capabilities and will provide an outlook for possible future development.
Fig. 1: Temperature distribution in Zirconium alloy heater rod, circular annulus fluid domain and
er Duran glas wall of the COSMOS-L test facility for step-wise increased wall heat flux up to CHF.
FFFFlux lux lux lux (CHF) (CHF) (CHF) (CHF)
eaterseaterseaterseaters
Moritz Bruder (2)
,
r Technische Thermodynamik
years R&D consortium “CFD Methods
, where the main goal was the improvement of
predictive capabilities of ANSYS CFD for the coverage of flow regimes from nucleate subcooled
boiling up to flow conditions close to critical heat flux (CHF). The paper will provide an insight in the
rian multiphase flow modeling concepts and their application to two different test
The CFD simulation methodology
involves the combination of conjugate heat transfer (CHT), the extended RPI wall boiling model
together with discrete population balance and flow regime transition modeling, commonly known as
test facility operated by the TU Munich, Dept. Technical
cs for convective wall boiling of a NOVEC 649 refrigerant heated by a massive Copper
heater under atmospheric pressure conditions. As a second validation experiment the derived ANSYS
he COSMOS-L test facility
at KIT, Inst. Thermal Process Technology for investigation of flow conditions close to CHF for a water-
3 bar. The presentation will provide an
art of wall boiling prediction by means of CFD, its current
predictive capabilities and will provide an outlook for possible future development.
Fig. 1: Temperature distribution in Zirconium alloy heater rod, circular annulus fluid domain and