Numerical simulation of hybrid nanofluid flow and heat transfer across parallel surfaces with suction/injection and magnetic effect

Abstract

The heat and mass transfer through the hybrid nanofluid (Hnf) flow with the significance of magnetic field across two spinning parallel plates has been described. The Hnf is prepared by the dispersion of SiO2 (Silicon dioxide) and MoS2 (Molybdenum Disulfide) nanoparticles (NPs) in the ethylene glycol (EG). The MoS2 is anti-friction compound used in automobiles and other types of heavy machineries in industry. It reduces the engine noise, reduces fuel consumption and enhances engine life. Similarly, SiO2 is used in structural materials, food processing, pharmaceutical industries and as an electrical insulator in microelectronic apparatus. Based on the remarkable applications of the hybrid nanofluid (MoS2-SiO2/EG), the flow has been modeled in form of PDEs, which are numerically handled through the parametric method (PCM). The results are compared for velocity, energy and concentration profiles with another numerical technique bvp4c (Matlab code). It has been detected that the results derived from the PCM are reliable and accurate. Furthermore, the velocity field declines with the upshot of Reynold number and suction/injection factor. The heat dissemination rate enhances from 2.85% to 9.89%, whereas the mass diffusion rate enriches form 2.32% to 9.56% as the values of nanoparticles varies from 0.01 to 0.03.