Predicting the thermal performance of heat pipes applying various machine learning methods and a proposed correlation-Reference-Cited by-同舟云学术

Predicting the thermal performance of heat pipes applying various machine learning methods and a proposed correlation

Published:2023-03 Issue: Volume:142 Page:106671
ISSN:0735-1933
Container-title:International Communications in Heat and Mass Transfer
language:en
Short-container-title:International Communications in Heat and Mass Transfer

Author:

Taghipour Kani Ghaem,Ghahremani Amirreza

Publisher

Elsevier BV

Subject

Condensed Matter Physics,General Chemical Engineering,Atomic and Molecular Physics, and Optics

Reference30 articles.

1. Applications of machine learning methods in modeling various types of heat pipes: a review;Ahmadi;J. Therm. Anal. Calorim.,2021

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3. Thermal performance prediction of wickless heat pipe with Al2O3/water nanofluid using artificial neural network;Kahani;Chem. Eng. Commun.,2019

4. Applying GMDH neural network to estimate the thermal resistance and thermal conductivity of pulsating heat pipes;Ahmadi;Eng. Appl. Comp. Fluid Mech.,2019

5. Predicting the efficiency of CuO/water nanofluid in heat pipe heat exchanger using neural network;Maddah;Int. Commun. Heat Mass Transf.,2019

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