Computational study of tri‐hybrid nanofluid flow through permeable stretching sheet with entropy optimization

Source abstract

Abstract The problem arises from the fact that traditional fluids are not sufficient to enable productive heating and cooling of industrial processes. Trihybrid (TH) nanofluids (NFs), which are composed of three diverse classes of nanoparticles suspended in base fluids, are a new kind of heat transport media. This novel class of fluids is characterized by its wide range of possible uses in a variety of nanotechnology and heat transport apparatuses. The purpose of current research to examine the production of entropy variations in the movement of an electromagnetic ternary hybrid nanofluid (THNF) across a permeable extended surface. Molybdenum Disulfide (), Zirconium Dioxide (), and Graphene Oxide () nanocomposites have been dispersed in base fluid (Ethylene Glycol) to create the TH nanoliquid. In order to assess the permeability impact, the momentum equation involves the effects of Darcy‐Forchheimer. The resistance to the flow and measure of heat transfer have been analyzed subjected to some crucial effects like magnetic field, thermal radiation, and Entropy generation rate. Joule heating impacts are imposed. The nonlinear ordinary differential equations are extracted from the partial differential equations through the transformation. Moreover, the resultant system is solved using the shooting approach in the computational framework of MATLAB. The drag force, and heat transfer rate are all calculated numerically.