Numerical investigation and optimization of thermal transport in nanofluid flow models

Abstract

Convectional heat transfer is a fundamental phenomenon that is essential to many engineering and natural systems. This study investigates the convective heat transfer in a saturated nanofluid medium with porous and viscous characteristics. It covers natural convection near a wedge in a porous medium using the LTNE model, quadratic convection, and radiative heat transfer in nanofluid-saturated porous media (Cheng-Minkowycz problem), heat radiation and nonlinear buoyancy in hybrid nano liquid flow around a spinning cylinder, and MHD convection in inclined cavities with elliptical bodies and fins, using neural networks for predictive modelling. newline