Abstract
The study presents a mathematical model to predict the impact of interfacial nanolayers on mass and heat transfer phenomena in ternary hybrid nanofluid (THNF) flow. It also investigates the effect of TiO2, SiO2 and Al2O3 in non-Newtonian biological fluids (i.e. blood) using porous surfaces. The study includes uniform transverse magnetic flux (MF) and reduces the nonlinear partial differential equations (PDEs) to ordinary differential equations (ODEs) using similarity transformations then solved analytically and numerically, the analytical method has been established using the Adomian Decomposition Method (ADM) and by the numerical procedure (Explicit Runge Kutta Method), the present findings in specified cases are compared to findings obtained by the Homotopy Analysis Method (HAM)-based Mathematica package and by the previous literature for validation. The research focused on the influence of active parameters on various parameters, numerically and graphically examining their impact. Results show that the velocity profile experienced a 20% enhancement in the channel centerline region when using a 0.5 unsteadiness parameter (α) together with M = 1 as the magnetic parameter value. This enhancement was possible through the 15% reduction in momentum boundary layer thickness. The heat transfer capabilities of ternary hybrid nanofluids containing 2% nanoparticle volume fractions boost the performance by 25% better than pure base fluids.