OPTIMIZATION OF OPEN MICRO-CHANNEL HEAT SINK WITH PIN FINS BY MULTI-OBJECTIVE GENETIC ALGORITHM

Micro-channel heat sink is an effective way to solve the heat dissipation problem of electronic devices because of its compact structure and outstanding heat dissipation ability. In order to obtain the high efficiency and low resistance micro-channel heat sink, a new structure of open rectangular micro-channel heat sink with pin fins was proposed to enhance heat transfer. The orthogonal test method was used to design the experiment, and the 3-D software SOLIDWORKS was used to establish 25 groups of open rectangular micro-channel heat sink with pin fins structure model which has different structural parameters. The numerical calculation was carried out with ANSYS FLUENT simulation software and the experimental values with the structural parameters of the micro-channel heat sink as variables were obtained. According to the simulated experimental values, the objective functions of thermal resistance and pumping power were constructed, and the agent model between objective functions and the optimization variables were established. The Pareto optimal solutions of objective functions were calculated by non-dominated sorting genetic algorithm, which was analyzed by k-means clustering analysis and five clustering points were obtained, and five clusters points were compared and verified by simulation. it was found that there was effective tradeoff points between the highest and lowest points of the five clustering which can make both the pumping power and thermal resistance within the optimal range, so as to obtain the optimal micro-channel heat sink.