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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Vydané v:	Multiscale and Multidisciplinary Modeling, Experiments and Design Ročník 8; číslo 2
Hlavní autori:	Fatima, Nahid, Ghodhbani, Refka, Khalid, Nouman, Khan, Muhammad Imran, Taha, Talal, Ijaz, Nouman, Saleem, Najma
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.02.2025
Predmet:	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
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