Open AccessMulti-objective optimization of turbulent jet impingement cooling system : A thermal and thermodynamic study
Author(s) -
Prasanth Anand Kumar Lam,
K. Arul Prakash
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1132/1/012017
Subject(s) - nusselt number , turbulence , mechanics , reynolds number , turbulence kinetic energy , heat transfer , thermodynamics , physics , entropy (arrow of time) , materials science , mathematics
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 ( Re j ) 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 Re j 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.