Multi-objective optimization of heat transfer and flow field in interrupted micro channel heat sinks (MCHS) used in computer chips

In this paper, multi-objective optimization (MOO) of heat transfer and flow field in interrupted micro channel heat sinks (MCHS) with rectangular fins using in computer chips is performed using Computational Fluid Dynamics (CFD) techniques and Nondominated Sorting Genetic Algorithms (NSGA II). At first, fluid flow is solved numerically in 100 various interrupted MCHS with rectangular fins using CFD techniques. Finally, the CFD data will be used for Pareto based multi-objective optimization of fluid flow in MCHS with rectangular fins using NSGA II algorithm. In the MOO process there are three geometrical parameters and the conflicting objective functions are to simultaneously maximize the amount of heat transfer and minimize the pressure drop. It is shown that the achieved Pareto solution includes important design information on fluid flow in MCHS with rectangular fins.