A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers

A Novel Approach for Reducing Feature Space Dimensionality and Developing a Universal Machine Learning Model for Coated Tubes in Cross-Flow Heat Exchangers

In the thermal industry, one common way to transfer heat between hot tubes and cooling fluid is using cross-flow heat exchangers. For heat exchangers, microscale coatings are conventional safeguards for tubes from corrosion and dust accumulation. This study presents the hypothesis that incorporating...

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Bibliographic Details
Main Authors: Mahyar Jahaninasab, Ehsan Taheran, S. Alireza Zarabadi, Mohammadreza Aghaei, Ali Rajabpour
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Energies
Subjects:
computational heat transfer
coating
feature combination
machine learning
heat exchangers
Online Access:https://www.mdpi.com/1996-1073/16/13/5185

Internet

https://www.mdpi.com/1996-1073/16/13/5185

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