Polynomial degree impact on prediction accuracy in Casson-Williamson fluid with Cattaneo-Christov

Polynomial degree impact on prediction accuracy in Casson-Williamson fluid with Cattaneo-Christov

A discussion on the 3D incompressible steady laminar boundary layer flow over a porous sheet due to the CattaneoChristov heat flux model and magnetohydrodynamic (MHD) effects are present, and artificial intelligence-based tools are used to predict the boundary layer flow, with a comparative analysis...

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Bibliographic Details
Main Authors: Ramzan Ali, Nouman Khalid, Talal Taha, Ainura Mitalipova, Abdikerim Kurbanaliev
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Casson-Williamson fluid
Magnetohydrodynamic
Cattaneo-Christov
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025011430
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