Heat Transfer Analysis on Thin Film Flow in MHD Ternary Nanofluid Over an Unsteady Stretching Sheet with Radiation Effect

This study investigates heat transfer enhancement in a thin film flow over an unsteady stretching sheet by employing ternary nanofluids comprising three different nanoparticles suspended in water. Recognizing the limitations of conventional nanofluids, this research explores the synergistic effects of these nanoparticles to optimize heat transfer efficiency. Considering the significance of radiation in high-temperature applications, the study incorporates radiation heat transfer effects for accurate temperature predictions. Using similarity transformations, the governing equations are converted into a system of ordinary differential equations, which are then numerically resolved using Matlab's bvp4c solver. Response Surface Methodology (RSM) is used to examine the combined effects of radiation, magnetic fields, and nanoparticle composition on heat transfer properties in order to further improve heat transfer. By analyzing the impact of key parameters such as radiation, film thickness, nanoparticle volume fraction, suction/injection, magnetic field, and unsteadiness on skin friction, local Nusselt number, velocity, and temperature profiles, the study identifies optimal conditions for maximizing heat transfer efficiency. The findings suggest that thermal field of ternary nanofluid improves via radiation, stretching and Alumina nanoparticle parameters. Results also show that the optimized heat transfer involves a minimum Alumina nanoparticle parameter at the highest stretching and radiation parameters. This research provides valuable insights into the design and development of efficient thermal management systems in various applications, including aerospace, energy, and industrial sectors.