Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method

Fins are widely used in many industrial applications, including heat exchangers. They benefit from a relatively economical design cost, are lightweight, and are quite miniature. Thus, this study investigates the influence of a wavy fin structure subjected to convective effects with internal heat gen...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 7045 - 14
Main Authors:	Chandan, K., Saadeh, Rania, Qazza, Ahmad, Karthik, K., Varun Kumar, R. S., Kumar, R. Naveen, Khan, Umair, Masmoudi, Atef, Abdou, M. Modather M., Ojok, Walter, Kumar, Raman
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 25.03.2024 Nature Publishing Group Nature Portfolio
Subjects:	639/4077 639/705 Boundary conditions Fin Heat exchangers Heat transfer Humanities and Social Sciences Industrial applications Internal heat generation Machine learning multidisciplinary Neural networks Nonlinear systems Ordinary differential equations Physics Physics-informed neural networks Science Science (multidisciplinary) Thermal conductivity Wavy fin Internal heat generation Fin Heat transfer Physics-informed neural networks Wavy fin
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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