Modeling and Analysis of Magneto-Mixed Convective Jeffrey Nanofluid Flow over a Stretching Surface with Shape and Size Dependent Nanoparticles

A mathematical model is developed to examine the transport behavior of a Jeffrey nanofluid near a nonorthogonal stagnation point over a stretching surface. The mathematical framework incorporates the effects of an applied magnetic field, mixed convection, thermal radiation, internal heat generation, chemical reaction, and activation energy. Silver nanoparticles are uniformly dispersed in water, which serves as the base fluid. The effects of nanoparticle shape and diameter are also incorporated using shape-dependent thermophysical properties and size-dependent Brownian diffusion. The governing conservation equations are transformed into a coupled system of ordinary differential equations using suitable similarity transformations and solved numerically using the finite difference method. The applied magnetic field influences the velocity distribution through the Lorentz force, while the stretching ratio plays a significant role in determining the flow response. The combined influence of radiative heat transfer and internal heat generation enhances the thermal characteristics of the fluid, resulting in an increase in the thermal boundary layer thickness. Chemical reaction and activation energy have a significant effect on the concentration field. A higher value of the radiation parameter results in a slight enhancement in the surface heat transfer, while heat generation reduces the wall thermal gradient. Moreover, a higher chemical reaction parameter enhances the surface mass transfer performance. It is further observed that nanoparticle shape changes the heat transfer behavior appreciably, and among the considered shapes, platelet-shaped silver nanoparticles provide the highest Nusselt number.