Machine learning-based prediction of heat transfer enhancement in carreau fluids with impact of homogeneous and heterogeneous reactions

This work uses a supervised machine learning approach to examine the boundary layer flow of a non-Newtonian fluid affected by homogeneous and heterogeneous reactions over a convectively heated surface. Similarity variables transform the governing nonlinear PDEs into ODEs, which are solved using the...

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Veröffentlicht in:	Multiscale and Multidisciplinary Modeling, Experiments and Design Jg. 8; H. 2
Hauptverfasser:	Fatima, Nahid, Ghodhbani, Refka, Khalid, Nouman, Khan, Muhammad Imran, Taha, Talal, Ijaz, Nouman, Saleem, Najma
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.02.2025
Schlagworte:	Characterization and Evaluation of Materials Engineering Mathematical Applications in the Physical Sciences Mechanical Engineering Numerical and Computational Physics Original Paper Simulation Solid Mechanics Heated surface Homogeneous and heterogeneous reactions Machine learning Non-Newtonian fluid
ISSN:	2520-8160, 2520-8179
Online-Zugang:	Volltext
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