Numerical simulation on the effectiveness of hybrid nanofluid in jet impingement cooling application

Abstract

This paper investigates the heat transfer performance of different nanofluid coolants with the employment of a single nozzle, axisymmetric, and confined jet impingement method. A numerical analysis using Ansys FLUENT software is carried out. A mixture of hybrid nanoparticles in a fluid further increases the heat transfer performance. The type of coolants used in this study is pure water as the base fluid, Al2O3-Cu/water hybrid nanofluid, and two types of single-particle nanofluids which are alumina, and copper nanofluids. Although the study of hybrid nanofluid as a coolant has become more prominent among researchers, a specific trend of the efficiency and performance of different coolants used in the jet impingement method is still not widely available. The results from this study showed that in comparison with water as the base fluid, there is an increase in the average heat transfer coefficient of the target surface of about 8.73% for hybrid nanofluid, 1.89% for Al2O3 nanofluid, and 0.17% Cu nanofluid. Hybrid nanofluid shows the highest heat transfer performance and reduces the greatest amount of heat from the surface to the fluid.