Computational analysis of MHD nano fluid flow under shape factors and thermal radiation effects via ANNs algorithm

Abstract This study uses intelligent techniques for looks at the impact of different factors, including inclination angle, external electromagnetic field, chemical reaction parameter, radiation parameter, shape factors (i.e. Sphere, Column and Lamina) and the sheet's porosity on both two well-known laminar boundary layer ternary hybrid nanofluid flows: the Blasius flow, It has a level plate in a consistent fluid stream and the Sakiadis flow, which involves a moving plate in still surrounding fluid. A boundary condition of a convective surface boundary (BC) is assumed for both flows. The analytical solution for both flows was generated using the Duan-Rach approach (DRA) and the intelligent solution using Artificial Neural Network technique (ANN). The study focuses on the creation of entropy as a function of different parameters. The present results in particular cases of both two well-known laminar boundary layer ternary hybrid nanofluid flows are validated by comparison with data from the literature, the Runge–Kutta Fehlberg 4th–5th order (RKF-45), and the Homotopy analysis method (HAM)-based Mathematica software.