ANN-Based Computational Heat Transfer Analysis of Carreau Fluid over a Rotating Cone

Abstract Heat transport in a dynamically rotating cone immersed in a Carreau fluid is the subject of this investigation. The fluid is a non-Newtonian, admired for its shear-thinning characteristics and utilized extensively in numerous industrial domains. The study investigates the interplay between buoyancy and centrifugal forces within the analytical framework. In order to find a solution, we will use numerical simulation with an ANN algorithm, namely the back-propagation Levenberg-Marquardt Scheme (BLMS), in conjunction with the Shooting mechanism. The enormous influence of centrifugation and buoyancy on the complex fluid dynamics and heat exchange processes is clearly proved by the results. Some important parameters that govern the convective heat transport process are the Nusselt number, the Reynolds number, the Grashof number, and the fluid and cone rotational velocities. The study confirms the need of taking non-Newtonian complexities and viscous dissipation into account when studying heat transfer dynamics and fluid flow, which could lead to more accurate predictions and better efficiency in a variety of industrial processes.