Entropy generation on MHD motion of hybrid nanofluid with porous medium in presence of thermo-radiation and ohmic viscous dissipation

Abstract

Abstract Hybrid nanotechnology has significantly contributed to enhancing energy efficiency and reducing heat loss. This study addresses entropy analysis in the motion of hybrid nanofluids incorporating magnetohydrodynamic effects, thermal radiation, and ohmic viscous dissipation phenomena. The implementation of magnetohydrodynamic, thermal radiation, and dissipation effects allows for a second law of thermodynamics analysis. The hybrid nanoparticles considered are Graphene Oxide (GO) and Molybdenum Disulphide (MoS 2 ), with water serving as the base liquid. Entropy generation analysis, a thermodynamic approach, quantifies irreversibility and inefficiencies within the system, aiding in understanding losses and identifying areas for improvement. Additionally, a comparative study is conducted. The BVP4C algorithm, implemented using MATLAB, is employed to address this study and obtain solutions. The key findings indicate that heat transfer rates are higher for blade-shaped nanoparticles, and entropy is minimized by controlling parameters such as the radiation parameter, Brinkman parameter, and temperature difference.