Machine learning-based prediction of heat transfer performance in annular fins with functionally graded materials

Machine learning-based prediction of heat transfer performance in annular fins with functionally graded materials

Abstract This paper presents a study investigating the performance of functionally graded material (FGM) annular fins in heat transfer applications. An annular fin is a circular or annular structure used to improve heat transfer in various systems such as heat exchangers, electronic cooling systems,...

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Bibliographic Details
Main Authors: Muhammad Sulaiman, Osamah Ibrahim Khalaf, Naveed Ahmad Khan, Fahad Sameer Alshammari, Sameer Algburi, Habib Hamam
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Funtionally graded fin
Heat transfer
Temperature distribution
Machine learning
Thermal analysis
Supervised neural networks
Online Access:https://doi.org/10.1038/s41598-024-58595-6

Internet

https://doi.org/10.1038/s41598-024-58595-6

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