Computational optimization of counter-flow double-layered microchannel heat sinks subjected to thermal resistance and pumping power

被引:75
作者
Shen, Han [1 ,2 ]
Jin, Xin [2 ]
Zhang, Fengli [2 ]
Xie, Gongnan [1 ]
Sunden, Bengt [3 ]
Yan, Hongbin [1 ]
机构
[1] Northwestern Polytech Univ, Dept Mech & Power Engn, Sch Marine Sci & Technol, Box 24, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Mech Engn, Box 552, Xian 710072, Shaanxi, Peoples R China
[3] Lund Univ, Div Heat Transfer, Dept Energy Sci, POB 118, SE-22100 Lund, Sweden
关键词
Microchannel heat sink; Thermal resistance; Pumping power; NSGA-II optimization algorithm; Computational fluid dynamics; PRESSURE-DROP CHARACTERISTICS; RECTANGULAR MICROCHANNELS; GEOMETRY; DESIGN; MODEL;
D O I
10.1016/j.applthermaleng.2017.04.058
中图分类号
O414.1 [热力学];
学科分类号
摘要
Various microchannel heat sinks are widely used to cool electronic chips, but they are often designed to be single-layer channels. To a certain extent, single-layered microchannel heat sinks can solve the problem of high heat flux. However, due to the limitation of pumping power, only a small coolant flow rate can be adopted; and the temperature of the heated plate is non-uniform. In this paper, the structure of double-layered countercurrent microchannel heat sinks is designed. The NSGA-II optimization algorithm is used to optimize the height ratio of the two layers and the length of the upper layer. The corresponding Pareto frontier is obtained. After validation of the optimization Pareto front, some validated characteristic cases are investigated numerically. The results of the optimization show that despite a conflict between reducing the thermal resistance and lowering the pumping power, there is an appropriate structure of the double-layered countercurrent microchannel heat sink optimized by the NSGA-II optimization algorithm. For the selected cases, Case 4 has the best thermal performance, because Case 4 not only has a smaller pumping power than Case 0, but also has a smaller thermal resistance than Case 0. Therefore, it is indicated that better thermal performance of microchannel heat sinks can be achieved through the optimization algorithm. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:180 / 189
页数:10
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