Prediction of transient melt fraction in metal foam - nanoparticle enhanced PCM hybrid shell and tube heat exchanger: A machine learning approach-Reference-Cited by-同舟云学术

Prediction of transient melt fraction in metal foam - nanoparticle enhanced PCM hybrid shell and tube heat exchanger: A machine learning approach

Published:2023-12 Issue: Volume:46 Page:102241
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

Amudhalapalli Gopi Krishna,Devanuri Jaya Krishna

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes

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1. Intelligent techniques for prediction characteristics of shell and tube heat exchangers: A comprehensive review;International Communications in Heat and Mass Transfer;2024-11

2. Utilizing neural networks and genetic algorithms in AI-assisted CFD for optimizing PCM-based thermal energy storage units with extended surfaces;Thermal Science and Engineering Progress;2024-09

3. A review on thermal energy storage with phase change materials enhanced by metal foams;Thermal Science and Engineering Progress;2024-08

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