Numerical analysis of slip-induced MHD radiative nanofluid flow near a rear stagnation point over a stretching sheet using Corcione's correlation

Abstract

The study conducts a numerical investigation of unsteady magnetohydrodynamic rear stagnation-point flow and heat transfer in an $A{l}_2{O}_3–H_{2}O$ nanofluid. The investigation seeks to determine the impact of nanoparticle properties and surface transport conditions on flow behaviour and thermal performance. The mathematical model integrates mass suction, thermal radiation, Navier slip, and temperature jump effects, with the effective viscosity and thermal conductivity of the nanofluid assessed by Corcione's correlation. The governing partial differential equations are simplified into a system of ordinary differential equations using the appropriate similarity transformations. Then, the MATLAB bvp4c solver is used to obtain the numerical solution. The findings demonstrate that a reduced nanoparticle diameter (dp = 28 nm) and an increased nanoparticle volume percentage augment both the skin-friction coefficient and the heat-transfer rate. Increasing suction from $S=0.5$ to $2.0$ makes heat transmission 67% better, while increasing the magnetic parameter from $M=0.5$ to $1.5$ makes wall shear stress 74.5% lower. Greater surface unsteadiness and bigger temperature-jump effects reduce heat transport, whereas thermal radiation increases the fluid temperature. These findings help improve rear stagnation-point flow nanofluid-based thermal systems for cooling, thermal management, and energy applications.