Magnetohydrodynamic flow of cobalt ferrite (CoFe₂O₄) - manganese doped zinc ferrite (Mn-ZnFe₂O₄)/ethylene glycol hybrid nanofluid over a moving wedge

N. Balakrishnan¹ - S. S. P. M. Isa^1,2 - A. N. M. Som² - N. M. Arifin^1,2,3 - F. M. Ali³

¹ Institute for Mathematical Research, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
² Centre for Foundation Studies in Science of Universiti Putra Malaysia, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
³ Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia

Abstract
The lower thermal performance of conventional fluids motivated researchers to study the dynamics of hybrid nanofluids due to their enhanced thermal properties, which meets the recent industrial needs such as heat exchanger, heat pipes and solar energy. In addition, magnetohydrodynamic flow acts as a boundary layer fluid control. The current model in this paper employs the magnetohydrodynamic non-static wedge flow of the Falkner-Skan model with the dual nanoparticles: CoFe₂O₄ and (Mn-ZnFe₂O₄) with ethylene glycol as the based fluid. The wedge is assumed to be moving in the same direction with the fluid flow. The governing equations together with boundary conditions are transformed into non-dimensional ordinary differential equations by substituting the similarity variables and using a Hamilton-Crosser model to predict the thermal conductivity of the hybrid nanofluid. Later, the built-in function bvp4c provided by the MATLAB software is used to solve the non-linear coupled equations. The influence of the moving wedge parameter, magnetic parameter, mass, and the shape factor of nanoparticles on the model are examined by inserting three distinct values of each parameter in the developed coding. The graphical and numerical results provided in this study are velocity profile, temperature profile, skin friction coefficient and local Nusselt number. In addition, the effect of Yamada-Ota and Xue thermal conductivity models on the temperature profile and local Nusselt number are examined and discussed. The optimal combination of weightage of each nanoparticle that declines the skin friction coefficient and the optimal combination of the shape factor of each nanoparticle that elevates the local Nusselt number are reported. Tables 4, Figs 15, Refs 28.