Abstract
In engineering and manufacturing processes, heat transmission is unavoidable. Because of the two-part nanomaterials, the hybrid nanofluid has an efficient heat transfer approach which helps to increase the heat transport capacity of standard nanofluids. The flow, heat transport, and entropy of a high conductivity hybrid nanofluid and a stretching surface with velocity slip effects are investigated numerically in this study. The fluid model de-picts understanding the thermodynamic efficiency of nanomaterials. The numerical frame-work for the hybrid nanofluid model is formed and similarity transformations are used to transform the PDEs into nonlinear ordinary differential equations. These equations are numerically calculated for different parameters in the computational tool MATLAB using the shooting (bvp4c) method. The most significant consequences of this investigation are the impacts of various physical flow parameters on the velocity, entropy and tempera -ture profiles including the permeability parameter, velocity slip parameter, magnetic pa-rameter, heat source-sink parameter, Biot number, volume fraction of nanoparticles, ther-mal radiation parameter, Brinkman number and temperature ratio parameter. For velocity, temperature, and entropy generation profiles, the magnetic parameter performs inversely. Moreover, the system's entropy generation profile is enriched with the incorporation of nanoparticles percentage by volume fraction of nanoparticles and Brinkman number. The authors confirm that all of their findings are unique and have not been previously pub-lished.(c) 2021 Elsevier Inc. All rights reserved.