Numerical Study of Jet Impingement Cooling on Smooth Concave Surfaces

Abstract

Jet impingement cooling is one of the best methods to improvise the coefficient of heat transfer. Since there are few studies of impingement on concave surfaces, a numerical study of jet impingement cooling is needed to investigate the effect of the nozzle tip to the impingement surface distance and the radius of curvature of the impingement surface at various Reynolds numbers on the thermal performance of the jet impingement cooling. The main objective of this study is to produce a mathematical correlation that relates all of the parameters considered to the thermal performance of the present jet impingement cooling system. It is found that Reynold numbers and geometry of the system influence the rate of heat transfer. Computational Fluid Dynamics is the method used in this study and the simulation is run using ANSYS Fluent. Out of all turbulence models examined, the best-validated result was achieved with the K-epsilon RNG model applied to the simulations. The correlation was tested by comparing the outcome of the correlation with the results of the simulations. The normalized root means square error, NRMSE, obtained indicates that the ACFD correlation is acceptable and applicable to be used for future reference.