Numerical study of an electrically conducting hybrid nanofluid over a linearly extended sheet

Abstract

AbstractThe major purpose of this study is to observe the flow properties of an electrically conducting hybrid nanofluid (HNF) consist of carbon nanotubes (CNTs) and iron ferrite (Fe3O4) nanoparticles (nps) passes through a linearly expanded sheet with the slip velocity. The non‐Newtonian fluid models provide a better insight of the flow and heat allocation properties of nanofluids. For this purpose, we have used a Maxwell nanoliquid as the basis fluid in our experiment, with an inclined magnetic field applied to the flow direction. The flow regulating equations are turned into a system of non‐dimensional differential equations via resemblance substitutions. The computational procedure “parametric continuation method” (PCM) has been used to compute the velocity, energy, and mass of the HNF. The statistical results are displayed through graphs and tables. Maxwell parameter, porosity, and velocity slip tend to minimize HNF velocity, while its temperature rises with the action of thermal radiation, inclined magnetic field, unsteadiness variable, and viscous dissipation. Furthermore, the porous medium's penetration has a greater influence on the reduction of nanofluid velocity.