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NUMERICAL PREDICTION OF NUCLEATE POOL BOILING HEAT TRANSFER COEFFICIENT UNDER HIGH HEAT FLUXES.

Authors :
PEZO, Milada L.
STEVANOVIĆ, Vladimir D.
Source :
Thermal Science; 2016 Supplement, Vol. 20, pS113-S123, 11p
Publication Year :
2016

Abstract

This paper presents computational fluid dynamics approach to prediction of the heat transfer coefficient for nucleate pool boiling under high heat fluxes. The 3-D numerical simulations of the atmospheric saturated pool boiling are performed. Mathematical modelling of pool boiling requires a treatment of vapor-liquid twophase mixture on the macro level, as well as on the micro level, such as bubble growth and departure from the heating surface. Two-phase flow is modelled by the two-fluid model, which consists of the mass, momentum, and energy conservation equations for each phase. Interface transfer processes are calculated by the closure laws. Micro level phenomena on the heating surface are modelled with the bubble nucleation site density, the bubble resistance time on the heating wall and with the certain level of randomness in the location of bubble nucleation sites. The developed model was used to determine the heat transfer coefficient and results of numerical simulations are compared with available experimental results and several empirical correlations. A considerable scattering of the predictions of the pool boiling heat transfer coefficient by experimental correlations is observed, while the numerically predicted values are within the range of results calculated by wellknown Kutateladze, Mostinski, Kruzhilin, and Rohsenow correlations. The presented numerical modelling approach is original regarding both the application of the two-fluid two-phase model for the determination of heat transfer coefficient in pool boiling and the defined boundary conditions at the heated wall surface. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03549836
Volume :
20
Database :
Complementary Index
Journal :
Thermal Science
Publication Type :
Academic Journal
Accession number :
116833198
Full Text :
https://doi.org/10.2298/TSCI150701138P