Exploring Novel Insights on MHD Mixed Convection with Tri-Hybrid Nanofluid on an Inclined Sheet with Suction Effects

Abstract

The study of ternary hybrid nanofluid (THNF) over inclined stretching/shrinking surfaces under the influence of various physical effects is crucial for optimizing heat transfer processes in engineering applications. This numerical investigation aims to provide novel insights by comprehensively analyzing the mixed convective flow and heat transfer characteristics of THNF comprising Cu, TiO2, and Al2O3 nanoparticles dispersed in water. The study uniquely considers the combined effects of thermal radiation, magnetohydrodynamics, and suction/injection on the THNF flow over an inclined stretching/shrinking sheet. The Keller box method is employed to numerically solve ordinary differential equations derived from governing nonlinear partial differential equations using similarity transformation. The influence of pertinent parameters, including suction/injection, mixed convection, stretching/shrinking, magnetic field, and radiation, on the profiles of temperature and velocity, as well as the rate of heat transfer, is elucidated through graphical and tabular representations validated against previous literature. Findings reveal that increasing the suction parameter enhances heat transfer rate by 6.65%, while increasing the inclination angle reduces it by 0.21%. This study contributes to the growing knowledge on THNF by providing valuable insights into their flow behavior and heat transfer characteristics, with potential applications in engineering and industrial domains such as enhanced heat exchangers, solar energy systems, and advanced thermal control technologies.