Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning methods-Reference-Cited by-同舟云学术

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Consolidated modeling and prediction of heat transfer coefficients for saturated flow boiling in mini/micro-channels using machine learning methods

Published:2022-06 Issue: Volume:210 Page:118305
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Bard Ari,Qiu Yue,Kharangate Chirag R.,French Roger

Funder

U.S. Navy

National Science Foundation

Office of Naval Research

NSF

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference102 articles.

1. Two-Phase Flow Patterns and Flow-Pattern Maps: Fundamentals and Applications;Cheng;Appl. Mech. Rev.,2008

2. Flow boiling in microchannels: fundamentals and applications;Karayiannis;Appl. Therm. Eng.,2017

3. Mechanisms of Boiling in Microchannels: Critical Assessment;Thome,2010

4. Macro-to-microchannel transition in two-phase flow: Part 2 – Flow boiling heat transfer and critical heat flux;Ong;Exp. Therm. Fluid Sci.,2011

5. Flow boiling of R410A and CO2 from low to medium reduced pressures in macro channels: experiments and assessment of prediction methods;Grauso;Int. J. Heat Mass Transf.,2013

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