Machine Learning for Prediction of Heat Pipe Effectiveness

Machine Learning for Prediction of Heat Pipe Effectiveness

This paper details the selection of machine learning models for predicting the effectiveness of a heat pipe system in a concentric tube exchanger. Heat exchanger experiments with methanol as the working fluid were conducted. The value of the angle varied from 0° to 90°, values of temperature varied...

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Bibliographic Details
Main Authors: Anish Nair, Ramkumar P., Sivasubramanian Mahadevan, Chander Prakash, Saurav Dixit, Gunasekaran Murali, Nikolai Ivanovich Vatin, Kirill Epifantsev, Kaushal Kumar
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
heat pipe
exchanger
machine learning
effectiveness
Online Access:https://www.mdpi.com/1996-1073/15/9/3276

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https://www.mdpi.com/1996-1073/15/9/3276

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