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Parametric Effects on Pool Boiling Heat Transfer and Critical Heat Flux: A Critical Review
Author(s) -
Tolga Emir,
Hamza Ourabi,
Mete Budaklı,
Mehmet Arık
Publication year - 2022
Publication title -
journal of electronic packaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.523
H-Index - 52
eISSN - 1528-9044
pISSN - 1043-7398
DOI - 10.1115/1.4054184
Subject(s) - critical heat flux , boiling , heat transfer , subcooling , parametric statistics , heat flux , nucleate boiling , mechanical engineering , mechanics , computer science , materials science , thermodynamics , engineering , mathematics , physics , statistics
Pool boiling heat transfer offers high-performance cooling opportunities for thermal problems of electronics limited with high heat fluxes. Therefore, many researchers have been extensively studying over the last six decades. This paper presents a critical literature review of various parametric effects on pool boiling heat transfer and critical heat flux (CHF) such as pressure, subcooling, surface topography, surface orientation, working fluid, and combined effects. To achieve an optimal heat removal solution for a particular problem, each of these parameters must be understood. The governing mechanisms are discussed separately, and various options related to the selection of appropriate working fluids are highlighted. A broad summary of correlations developed until now for predicting CHF is presented with their ranges of validity. While proposed correlations for predicting CHF have been quite promising, they still have a considerable uncertainty (±25%). Finally, a correlation proposed by Professor Avram Bar-Cohen and his team (thermal management of electronics (TME) correlation) is compared with the experimental dataset published in previous studies. It shows that the uncertainty band can be further narrowed down to ±12.5% for dielectric liquids by using TME correlation. Furthermore, this correlation has been enhanced to predict CHF values underwater above 50 W/cm2 by applying a genetic algorithm, and new perspectives for possible future research activities are proposed.

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