Revisiting heater size sensitive pool boiling critical heat flux using neural network modeling: Heater length of the half of the Rayleigh-Taylor Instability Wavelength maximizes CHF-Reference-Cited by-同舟云学术

Revisiting heater size sensitive pool boiling critical heat flux using neural network modeling: Heater length of the half of the Rayleigh-Taylor Instability Wavelength maximizes CHF

Published:2019-12 Issue: Volume:14 Page:100421
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

He Mingfu,Lee Youho

Funder

Nuclear Energy University Program

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes

Reference93 articles.

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3. A theoretical model to predict pool boiling CHF incorporating effects of contact angle and orientation;Kandlikar;J. Heat Transfer.,2001

4. Compound effect of EHD and surface roughness in pool boiling and CHF with R-123;Ahmad;Appl. Therm. Eng.,2011

5. A new paradigm for understanding and enhancing the Critical Heat Flux (CHF) limit;Fazeli;Sci. Rep.,2017

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