Heat Transfer Analysis of a Stretching Sheet in TRI Particle-Enhanced Nanofluid Systems

This research investigates the cooling efficiency of tri-particle nanofluids, specifically focusing on a combination of water as the base fluid, with titanium dioxide, cobalt ferrite, and magnesium oxide nanoparticles. The study targets the application of these nanofluids on industrial stretching sheets, where the cooling rate directly influences the final quality of the sheet. The aim is to identify a more effective coolant, enhancing heat exchangers by utilizing a combination of nanoparticles. The research models the flow of tri-hybrid nanofluids over a stretching sheet, considering both liquid and dust phases. Key parameters such as velocity, temperature, skin friction coefficient, and Nusselt number are analyzed, with results presented in visual and tabular formats. The study found that the velocity and heat gradient of the fluid and dust phases increase in opposite directions. Continuity equations, adjusted for density, viscosity, and temperature variations, are transformed into ordinary differential equations (ODEs), which are solved using mathematical software. The findings demonstrate that tri-hybrid nanofluids significantly improve heat transfer, suggesting their potential as superior coolants in various industrial applications, offering flexibility in nanoparticle combinations to optimize performance.