Non-similar investigation of enhanced thermal efficiency of Maxwell based hybrid nanofluid (MoS2+ZnO) across a linearly stretched surface

The science of dispersing nanoparticles into base fluids has a potential to revolutionize the variety of engineering developments. This is because the nanofluids have different thermophysical properties than conventional fluids. In our proposed research work, the main goal is to develop non-similar Maxwell hybrid nano-fluid model with various assumptions to scrutinize the thermal transport analysis. In this regard, we consider the flow of fluid over a linearly stretched surface imbedded in porous media incorporating molybdenum disulfide (MoS2) and zinc Oxide (ZnO) as nanoparticles with engine oil as base fluid. Moreover, the impacts of magnetic field, viscous dissipation, and heat source to examine the thermal features of considered flow problem are also taken into account. Mathematical framework for considered case is developed by employing the Khanafer model for nanofluids flow problem. The governing partial differential equations (PDEs) is simplified to dimensionless system using appropriate non-similar conversions. The reconstructed mathematical model is simulated using the local non-similarity technique up to the second level of truncation with the assistance of MATLAB bvp4c algorithm. Furthermore, influence of different emerging dimensionless parameters such as magnetic field, Maxwell fluid parameter, porosity parameter, Prandtl number, and heat source parameter on velocity and temperature profiles are investigated graphically. It is observed that the flow profile decreases as the values of the magneticfield and the porosity parameter increases. It has been found that nanofluid temperature falls for the increasing values of Prandtl number while boundary layer thickness decreases with rising values of Maxwell fluid parameter. It's worth noted that the Biot number's value and temperature gradient have a direct relationship. The variations in physical parameters such as skin friction, and local Nusselt number are also examined in suitable range. The local Nusselt number rises with the increase of heat source parameter and Prandtl number. To get the validity of results, the present work has been compared with previously reported studies and good agreement has been found.

Automated summary

The aim of this study is to develop a non-similar Maxwell hybrid nanofluid model to investigate thermal transport analysis. The flow of fluid over a linearly stretched surface embedded in porous media incorporating MoS2 and ZnO as nanoparticles with engine oil as base fluid is considered. The effects of magnetic field, viscous dissipation, and heat source on the thermal features of the flow problem are also examined. The mathematical model is simulated using MATLAB bvp4c algorithm and the results are compared with previous studies, showing good agreement.