Optimization design of space radiation cooler based on response surface method and genetic algorithm

doi:10.1016/j.csite.2023.103437

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	Optimization design of space radiation cooler based on response surface method and genetic algorithm
	S. Liu; X. Meng; Z. Yuan; L. Ren and L. Chen
	2023
发表期刊	Case Studies in Thermal Engineering
ISSN	2214157X
卷号	50
摘要	The cooling capacity of a radiator under complex environmental conditions is improved by controlling the detector temperature within a range of the thermal control index. An optimal design method for the radiation cooler based on the response surface method (RSM) and genetic algorithm is proposed, and the area and location of the radiation cooler of the space ultraviolet imager detector are optimized. First, the physical model and thermal simulation model of the space ultraviolet imager are established. Then, the detector temperature is used as the objective function, and the length, height, and inclination angle of the radiator in space are used as the design variables. The mathematical model of the objective function is established by the RSM, and the rationality of the mathematical model is verified by analysis of variance (ANOVA). Finally, the Pareto optimal frontier is obtained using the genetic algorithm. The optimization results confirm that the optimal design parameters of the radiator are XW = 165.58 mm, XH = 160.29 mm, θ1 = 7.28°, θ2 = 5.87°. Compared with before optimization, the area of the radiator is reduced by 18.18%, and the weight is reduced by 48.78 g. Based on verifying the optimization results, the optimized radiation cooler can control the detector within the target temperature of −20 to −10 °C. Therefore, the optimal design of the radiation cooler meets the requirement of lightweight while improving the cooling capacity of the radiator. © 2023 The Authors
DOI	10.1016/j.csite.2023.103437
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收录类别	sci ; ei
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67716
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	S. Liu,X. Meng,Z. Yuan,et al. Optimization design of space radiation cooler based on response surface method and genetic algorithm[J]. Case Studies in Thermal Engineering,2023,50.
APA	S. Liu,X. Meng,Z. Yuan,&L. Ren and L. Chen.(2023).Optimization design of space radiation cooler based on response surface method and genetic algorithm.Case Studies in Thermal Engineering,50.
MLA	S. Liu,et al."Optimization design of space radiation cooler based on response surface method and genetic algorithm".Case Studies in Thermal Engineering 50(2023).

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