Evaluation of machine learning models in the classification of pool boiling regimes up to critical heat flux based on boiling acoustics

Author:

Barathula Sreeram,Chaitanya SKORCID,Srinivasan KORCID

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Reference34 articles.

1. The maximum and minimum values of the heat Q transmitted from metal to boiling water under atmospheric pressure;Nukiyama;Int. J. Heat Mass Transf.,1966

2. Experimental investigation and optimization of pool boiling heat transfer enhancement over graphene-coated copper surface;Gajghate;J. Therm. Anal. Calorim.,2020

3. Experimental study of nucleate pool boiling heat transfer on microporous structured by chemical etching method;Kalita;Therm. Sci. Eng. Progress,2021

4. Pool boiling heat transfer and bubble dynamics of modified copper micro-structured surfaces;Sen;Int. Commun. Heat Mass Transf.,2022

5. Pool boiling critical heat flux (CHF) – Part 1: Review of mechanisms, models, and correlations;Liang;Int. J. Heat Mass Transf.,2018

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