Optimizing radiative flow of trihybrid nanofluid with autocatalytic chemical reaction using Cattaneo-Christove heat flux model for industrial heat transfer applications

Abstract

In this study, the Hamilton–Crosser thermal conductivity model is used to analyze the effects of Marangoni convection on the 3D radiative flow of a trihybrid nanofluid across a rotating disk using the Cattaneo-Christove heat flux model. A trihybrid nanofluid consisting of $Zr{O}_2$, $Si{O}_2$, $Mo{S}_2$ and silicone oil as the improper liquid is used. One of its primary applications is to improve the efficiency of cooling systems, heat exchangers, and energy harvesting tools in solar panels, electronic components, and nuclear reactors. Furthermore, by optimizing fluid-based cooling in high-performance systems, the model maximizes thermal conductivity and minimizes entropy generation to generate energy-efficient designs for microfluidic devices, vehicles, and airplanes. It also applies to processes in chemical engineering like catalytic reactors and heat control in advanced material processing. The bvp4c method is apply to resolve the governing ordinary differential equations numerically. The main consequences of the significant emerging factors against included sectors are explored through the employment of graphic representations. The higher the Marangoni convection parameter, the higher the rates of mass and heat transmission and the skin friction.