Accurate and robust predictions of pool boiling heat transfer with micro-structured surfaces using probabilistic machine learning models
Author:
Funder
Wichita State University
College of Engineering, University of Arkansas
NSF
National Science Foundation
Publisher
Elsevier BV
Reference71 articles.
1. Pool boiling critical heat flux (CHF)–Part 2: assessment of models and correlations;Liang;Int. J. Heat. Mass Transf.,2018
2. Structural-material-operational performance relationship for pool boiling on enhanced surfaces using deep neural network model;Mehdi;Int. J. Heat. Mass Transf.,2022
3. Bubble dynamics of R-134a/POE and R-123/MO mixture on enhanced surfaces having pores on sub-tunnels;Shah;Int. J. Heat. Mass Transf.,2022
4. Enhanced pool boiling of dielectric and highly wetting liquids–A review on surface engineering;Sajjad;Appl. Therm. Eng.,2021
5. Nucleate pool boiling of R-134a on enhanced horizontal surfaces having pores on sub-tunnels;Mondal;J Enhance Heat Transf,2019
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