## Thermal and Thermodynamic analyses of impingement cooling system with turbulent jet arrays
## AbstraktIn the present study, a multi-objective optimization procedure
combining finite element modeling of turbulent convection,
Non-linear regression and Multi-Objective Genetic Algorithm (MOGA) is demonstrated, to obtain an optimum configuration for jet impingement cooling system. For the purpose, equations governing conservation of mass, momentum and energy are solved in a Cartesian framework using Streamline Upwind Petrov-Galerkin (SUPG) Finite Element Method (FEM). Turbulent kinetic energy and its dissipation rate are modeled using S) is found to increase
with increasing _{tot,Ω}V R and Re and decreasing H/L. Finally, Multi-Objective Genetic Algorithm (MOGA) has been implemented to obtain optimum configurations of impingement cooling system, where a trade-off between two performance parameters, Nu and _{ov}S is obtained._{tot,Ω} |

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