Multi-objective optimization of double-layered microchannel heat sink based on derivative-free algorithm

Abstract

In the present study, an optimization model of double-layered microchannel heat sink (DL-MCHS) is developed based on a derivative-free method, BOBYQA algorithm, which solves optimization problems without using derivatives of the objective function. Overall, thermal resistance R_T and pumping power are adopted as multi-objective functions to search for optimal design variables. The effect of weight factors and on results of optimization is discussed. With the increase of , decreases while increases. Moreover, the effect of design variables of the bottom layers on flow and heat transfer performance is more obvious than that of the upper layers. Finally, the Pareto fronts of counter-flow and cross-flow DL-MCHS are calculated. Results indicate that counter-flow heat sink shows better thermal performance compared to cross-flow heat sink under the same pumping power consumption.

Additional information

Funding

This project was financially supported by the Scientific Research Project of Beijing Educational Committee [Grant No. 004000546315527] and Scientific Research Project of Beijing Advanced Innovation Center for Future Internet Technology. The authors are grateful for the support of these sponsors.