Nanoparticle shape effects of aligned magnetohydrodynamics mixed convection flow of jeffrey hybrid nanofluid over a stretching vertical plate.

Abstract

The nanoparticle shape effects of aligned magnetohydrodynamics (MHD) mixed convection flow of Cu-Al2O3/water-EG Jeffrey hybrid nanofluid over a stretching vertical plate are investigated in this study. Five different shapes of nanoparticles which are spherical, cylindrical, blades, bricks, and platelets are considered. The governing equations in the form of Partial Differential Equations (PDEs) had been reduced to nonlinear Ordinary Differential Equations (ODEs) by using similarity transformation. The transformed ODEs are tackled numerically by implementing bvp4c solver in MATLAB towards the dimensionless physical parameters which are aligned angle of magnetic field (α), interaction of magnetic field (M), mixed convection (λ), Deborah number (β), volume fraction of nanoparticles (φ), and nanoparticle shape factor (m). The effects of nanoparticle shape and other parameters on fluid velocity, temperature, skin friction coefficient, and Nusselt number are illustrated with graphs and tables. This study discovered that blade-shaped nanoparticles have the greatest skin friction coefficient and Nusselt number compared to all different shapes. While λ, and φ enhance the skin friction coefficient, α, and M increase the Nusselt number. The parameters α, M, λ, and φ reduce the velocity profiles while raising the temperature profiles.