Numerical Heat Transfer on Sutterby Tetra Hybrid nanofluid for Biomedical Application

Abstract

This study investigates the thermal behaviour and heat transfer characteristics of Sutterby tetra Hybrid nanofluids, comprising copper (Cu), silver (Ag), iron oxide (), and zinc (Zn) nanoparticles dispersed in ethanol, using the Boundary Value Problem Fourth Order ODE Solver (BVP4C) method. The research aims to elucidate the potential applications of Tetra Hybrid nanofluids in improving heat transfer efficiency in engineering systems. By analyzing the thermal conductivity and heat transfer coefficients of these nanofluids, insights are provide into their suitability for various technological domains. The findings suggest that Tetra Hybrid nanofluids exhibit significant enhancements in thermal properties, making them promising candidates for enhancing heat transfer in heat exchangers, electronics cooling, and renewable energy systems. Mass diffusion are discussed in relation to lowering Schmidt number, rising chemical reaction, and increasing Sherwood number while discussing the thickness of the boundary layer in. Porosity limitation causes a downward shift in the tetra nanofluid, velocity curve, also skin drag increases.