The purpose of this study is to conduct a numerical investigation of heat and mass transfer in hybrid nanofluid (HNF) flow over inclined parallel rotating surface about the y-axis. The combined influences of surface rotation, inclination, magnetic field and activation energy each of which significantly affects velocity, temperature and concentration profiles are systematically analyzed.
The working fluid is a polymer/carbon nanotube matrix nanocomposite, selected for its superior thermophysical properties and suitability in biomedical and engineering applications. To assess the effect of particle morphology, lamina-, tetrahedron- and hexahedron-shaped nanoparticles are considered. Following similarity transformations, the governing partial differential equations are converted into a system of ordinary differential equations, which are consequently solved numerically using MATLAB’s bvp4c solver.
The results show that suction/injection (K) and Reynolds number (R) have significant impacts on momentum conductivity, whereas thermophoresis (Nt), Brownian motion (Nb) and heat generation (Q) increase fluid temperature. The chemical reaction parameter (Kr) and activation energy (E) increase the concentration field, whereas the Schmidt number (Sc) lowers it. Quantitatively, lamina-shaped nanoparticles increase the Nusselt number by 14%, while hexahedron-shaped particles enhance mass diffusivity by 11%. Activation energy reduces the diffusion boundary-layer thickness by nearly 9%.
The novelty of this work lies in coupling nanoparticle morphology inclined double-rotating geometry and activation energy effects into a unified framework. The outcomes convey design guidance for optimizing HNF applications in rotating machinery, electronic cooling and biomedical systems where efficient heat and mass transfer are critical.
