Model-based comparative analysis of MHD stagnation point flow of hybrid nanofluid over a stretching sheet with suction and viscous dissipation

The effects of steady MHD stagnation point flow with viscous dissipation over a permeable stretching surface are examined. The fluid water is infused with Al2O3−Cu hybrid nanofluid particles. Magnetohydrodynamics (MHDs), suction with viscous dissipation reveals a mechanism for the transmission of heat and flow. Many different thermal conductivity models, such as the Hamilton–Crosser, Yamada–Ota, and Xue models are utilized to learn more about the thermophysical properties of hybrid nanoparticles. By using the boundary layer approximation, the partial differential equations may be transformed into ordinary differential equations (ODEs), which are linked and highly nonlinear. This is accomplished by employing a separate set of equations. Mathematica is used to find the numerical solution by applying the Runge-Kutta (RK-IV) technique to the coupled system in question. Visualization of the resulting numerical data shows the velocity, temperature, and skin friction. There have also been discoveries about the local heat transfer rate. Afterwards, the data is presented in tables and discussed. Suction S is studied together with magnetism M, Eckert number Ec, and the nanoparticle volume fraction toward stretching to better understand the performance of flow, heat transfer within these systems. According to the findings of this investigation, the stretching sheet offers a novel approach. When compared to the Hamilton–Crosser and Xue models of hybrid nanofluid, the Yamada–Ota model of the hybrid nanofluid achieves higher heat transfer rates than the other two models combined for mass suction. Also, the tri-models demonstrate growing tendencies to growing the volume fraction rate of Al2O3−Cu/H2O hybrid nanoparticles. Furthermore, the hybrid nanoparticles performance is superior to that of conventional nanofluids.