Multi-objective optimization of turbulent jet impingement cooling system : A thermal and thermodynamic study

Abstract

Abstract In this paper, an optimization methodology for turbulent air jet impingement cooling system is reported. The continuity, Reynolds-Averaged Navier-Stokes, turbulent kinetic energy (k), turbulent dissipation rate (ε) and energy equations are solved using the Streamline Upwind/Petrov-Galerkin (SUPG) Finite Element (FE) Method. In this study, Reynolds number (Rej ) and channel height (H/L) are selected as design parameters. The influence of design parameters on turbulent flow, heat transfer and entropy generation distribution for the system are presented and discussed. As Rej increases and H/L decreases, the magnitude of overall Nusselt number and global total entropy generation increases. Subsequently, the Multi-Objective Genetic Algorithm (MOGA) was introduced to achieve optimal impingement system configurations with maximum heat transfer and minimum entropy generation.