大功率LED散热器性能的双目标优化

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Abstract According to the design requirements of heat sink applied in high-power LED for increasing cooling performance but reducing mass, a two-objective optimization design, including junction temperature and fins mass, is performed respectively based on orthogonal experiment design method and genetic algorithm. In early stages of optimization design, some structural variables for optimization such as fin spacing, fin height and fin thickness are determined through referring to previous researching results. And the constraint of each structural variable is assigned according to the suggestion structure. On this basis, the junction temperatures and fins masses are calculated respectively through thermal circuit method and calculation formula of fin mass, for the different combination cases of above three structural variables. In the process of optimization design, the implementation schemes of above tow optimization methods are illustrated in detail. And both of these optimization methods need to construct the evaluation function of two-objective optimization by applying a weighted sum method. The comparative results between two types of objective values before and after optimization show that, both of optimization methods can offer global optimal solution on Pareto front, and the optimization effects are all obvious, in addition, the genetic algorithm can provide more diversified optimized structures.

Key words： High-power LED heat sink two-objective optimization orthogonal experiment design genetic algorithm

Received: 22 April 2013 Published: 27 June 2014

PACS:	TN312.8
	TN305.94

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	Articles by authors
	Zhang Jianxin
	Niu Pingjuan
	Wu Zhigang
	Wang Jingxiang
	Li Hongyue

Cite this article:

Zhang Jianxin,Niu Pingjuan,Wu Zhigang等. Two-Objective Optimization of Heat Sink Cooling Performance for High-Power LED Application[J]. Transactions of China Electrotechnical Society, 2014, 29(4): 136-141.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2014/V29/I4/136

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