摘要
This article explores the optimization of heat transport in a magnetohydrodynamic nanofluid flow with mixedMarangoni convection by using the Response SurfaceMethodology.The convective flow is studied with external magnetism,radiative heat flux,and buoyancy.An internal heat absorption through the permeable surface is also taken into account.The governing system includes the continuity equation,Navier-Stokes momentum equation,and the conservation of energy equations,approximated by the Prandtl boundary layer theory.The entropy generation in the thermodynamic system is evaluated.Experimental data(Corcione models)is used to model the single-phase aluminawater nanofluid.The numerical solution for the highly nonlinear differential systemis obtained via Ralston’s algorithm.It is observed that the applied magnetic field leads to a higher entropy generation which is engendered by the Lorentz force within the fluid system.The thermal radiation leads to a higher Bejan number,indicating the importance of the irreversibility of heat transport.Also,the heat absorption process via a permeable surface can be employed to regulate the thermal field.An optimizedNusselt number of 13.4 is obtained at the high levels of radiation,injection,and heat sink parameters.The modeled fluid flow scenario is often seen in drying,coating,and heat exchange processes,especially in microgravity environments.
