Numerical heat transfer analysis & predicting thermal performance of fins for a novel heat exchanger using machine learning

Numerical heat transfer analysis & predicting thermal performance of fins for a novel heat exchanger using machine learning

In the present case study, the thermal performance of fins for a novel axial finned-tube heat exchanger is investigated and predicted using machine learning regression technique. The effects of variation in the fin spacing, fin thickness, material, and the convective heat transfer coefficient on the...

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Bibliographic Details
Main Authors: Gaurav Krishnayatra, Sulekh Tokas, Rajesh Kumar
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Case Studies in Thermal Engineering
Subjects:
Convection heat transfer
Fin effectiveness
Fin efficiency
Novel fins
Machine learning
K-nearest neighbor
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X20303506

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X20303506

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