电子测量与仪器学报

胡亚凡,姜永正,彭延峰,廖贵文,李泽沛,何宽芳.基于全局响应面法的有限空间散热结构多目标优化[J].电子测量与仪器学报,2021,35(3):64-72

基于全局响应面法的有限空间散热结构多目标优化

Multi objective optimization of heat dissipation structure in limited space based on global response surface method

DOI：

英文关键词:rectangular fin radiator GRSM heat dissipation characteristics finite element switching mode power supply

基金项目:国家重点研发计划(2018YFF0212902)、湖南省自然科学基金(2017JJ1015)资助

作者	单位
胡亚凡	1.湖南科技大学机械设备健康维护湖南省重点实验室湘潭411201；
姜永正	1.湖南科技大学机械设备健康维护湖南省重点实验室湘潭411201；
彭延峰	1.湖南科技大学机械设备健康维护湖南省重点实验室湘潭411201；
廖贵文	1.湖南科技大学机械设备健康维护湖南省重点实验室湘潭411201；
李泽沛	1.湖南科技大学机械设备健康维护湖南省重点实验室湘潭411201；
何宽芳	2.佛山科学技术学院机电工程学院佛山528000

Author	Institution
Hu Yafan	1Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
Jiang Yongzheng	1Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
Peng Yanfeng	1Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
Liao Guiwen	1Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
Li Zepei	1Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Hunan University of Science and Technology, Xiangtan 411201, China;
He Kuanfang	2School of Mechatronics Engineering, Foshan University, Foshan 528000, China

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中文摘要:

针对直流电能检定仪器内部空间有限导致无法增大散热器尺寸的难题，采用全局响应面法对基板和肋片厚度、肋片数目及风量进行多目标优化。首先，建立1 kW开关电源的有限元模型，以基板厚度H2、肋片厚度H3、肋片数目N、风扇风量V为变量因子，功率芯片和开关电源最高温度作为目标,设计正交试验；其次，基于试验结果，利用全局响应面法对变量因子进行多目标优化，结果表明,当H2=30 mm、H3=10 mm、N=10、V=2400 CFM时，目标最高温度分别降至9161 ℃和6273 ℃。最后，利用最优参数开展实验，实验与优化结果十分吻合，误差仅为-253 ℃和370 ℃，优化参数可用，优化后最高温度降低了近30%，优化效果明显。

英文摘要:

Aiming to solve the problem that the increase of the size of the radiator is limited by the internal space of the direct current (DC) power verification instrument, the global response surface method (GRSM) is used to optimize multi objectives of the thickness of the substrate and the fins, the number of fins and the airflow. Firstly, a finite element model (FEM) of 1 kW switching power supply is proposed and the orthogonal experiment is designed, with variable factors of substrate thickness H2, fin thickness H3, number of fins N, and fan airflow V, and the objective of the maximum temperature of the power chip and switching power supply. Secondly, based on the experimental results, the multi objective optimization of the variable factors is conducted by using the GRSM. The results show that the maximal temperature can be decreased to 9161 ℃ and 6273 ℃, respectively, under the conditions of H2=30 mm,H3=10 mm,N=10 and V=2400 CFM. Finally, the experiment is carried out with the optimized parameters, and the experimental results agree well with the optimization ones with marginal errors of -253 ℃ and 370 ℃, respectively. Our scheme presents a significant achievement since the maximum temperature is reduced by nearly 30%, and the obtained optimized parameters are useful.

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