Analysis of the thermal distribution of a porous radial fin influenced by an inclined magnetic field with neural computing

Analysis of the thermal distribution of a porous radial fin influenced by an inclined magnetic field with neural computing

Abstract Fins and radial fins are versatile engineering components that significantly enhance heat transfer and thermal management in diverse applications, hence improving efficiency and performance across several sectors. This study examines the temperature distribution in a radial porous fin under...

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Bibliographic Details
Main Authors:	Shazia Habib, Waseem, Zeeshan Khan, Salah Boulaaras, Mati ur Rahman, Saeed Islam, Rafik Guefaifia
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-12-01
Series:	Scientific Reports
Subjects:	Porous radial fin model Inclined magnetic field Levenberg Marquard Backpropagation neural network algorithm Artificial neural networks, Nonlinear equations
Online Access:	https://doi.org/10.1038/s41598-024-82017-2
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