Entropy Generation Analysis on MHD Flow with a Binary Mixture of Ethylene Glycol and Water Based Silver-Graphene Hybrid Nanoparticles in Automotive Cooling Systems

The present work is focused on the flow and transfer of heat analysis of the silver-graphene with a binary mixture of ethylene glycol (EG) and water (0:100, 20:80 and 40:60 vol %) based hybrid nanofluids. Flow formulation is developed by considering the effect of magnetic field, stagnation point flow, Joule heating and viscous dissipation. Heat exchanger plays an important role because of the increasing demand for efficient cooling systems in automotive industries. Proper transforms lead to highly nonlinear differential systems, which are solved through shooting procedure with fourth order R-K (Runge-Kutta) method. The results of numerous control parameters for both silver-graphene nanoparticles are graphically shown and discussed in detail. The current numerical work is qualified through comparative study with the formerly published results for a special case. The heat transfer rate is higher with lower Ec values and higher ϕ1 and ϕ2 values.