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| Optimization Design and Analysis of High-Power LED Heat Radiator Based on Genetic Algorithm and Matlab Simulation |
| Li Jingsong1,2, Yang Qingxin1,2, Niu Pingjuan3, Zhang Xian2, Zhang Jianxin3, Jin Liang2, Li Yang2 |
1. Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability Hebei University of Technology Tianjin 300130 China
2. Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology Tianjin Polytechnic University Tianjin 300387 China
3. High Power Semiconductor Lighting Applications System Engineering Research Centre of Ministry of Education Tianjin Polytechnic University Tianjin 300387 China |
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Abstract The optimized combination of cooling influence model of LED which based on the theory of the genetic algorithm sets the dimensions of the radiator and the fin parameters as its optimization objective, is in accordance with the research of the relation between the heat transfer and resistance performance and radiator structure parameters. The Matlab programming optimization program and simulation calculation works on the basis of the genetic optimization algorithm steps and process design. Through the comparison between experiment test result with algorithm optimized simulation, it reaches a conclusion that optimized radiator based on genetic algorithm can not only enhance its heat transfer performance, it can reduce its design and operation cost, meanwhile, besides its versatility and practical value, it can be applied to the optimizing design of a variety of thermal radiators for it also reduce a reliance on the designer experience.
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Received: 13 May 2013
Published: 22 May 2014
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| Fund:Supported by the key project of Tianjin application foundation and frontier technology research plan (Tianjin Natural Science Fund) (12JCZDJC28600, 10JCZDJC15400); The national high technology research and development program (863 Plan) (2010AA03A1A7). |
| About author:: Li Jingsong male, born in 1987, the doctoral candidate of Electrical Engineering of Hebei University of Technology, mainly engaged in LED optoelectronic integrated thermal and magnetic properties research of the interaction mechanism combined with wireless energy transfer technology research.Yang Qingxin male, born in 1961, professor and doctorial tutor, mainly engaged in engineering magnetic field numerical calculation and the magnetic technology research. |
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[7]Hu Defu. Combined with the improved genetic algorithm and the BP neural network of rock prediction research[J]. Railway Survey and Design, 2011, 23(2): 94-96.
[8]Wang Xiaoping, Cao Liming. Genetic algorithm- theory, applications and software realization[M]. Xi’an: Xi’an Jiaotong University, 2003.
[9]Wang Hailong, Chen Shanjie, Li Qian, et al. Research of data-collection system based on Matlab[J]. Chinese Agricultural Science Bulletin, 2007, 23(1):381-384.
[10]Lan Kim, Moo Whan Shin. Thermal resistance measurement of LED package with multichip[J]. IEEE Transactions on Components and Packaging Technologies, 2007, 30(4): 632-636. |
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2013, Vol. 28 
