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

• Published in: Multiscale and Multidisciplinary Modeling, Experiments and Design Vol. 8; no. 2
• Main Authors: Fatima, Nahid, Ghodhbani, Refka, Khalid, Nouman, Khan, Muhammad Imran, Taha, Talal, Ijaz, Nouman, Saleem, Najma
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.02.2025
• Subjects: 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

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...