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Optimization design and analysis of high-power LED heat radiator based on genetic algorithm and matlab simulation

  • Jingsong Li*
  • , Qingxin Yang
  • , Pingjuan Niu
  • , Xian Zhang
  • , Jianxin Zhang
  • , Liang Jin
  • , Yang Li
  • *Corresponding author for this work
  • Hebei University of Technology
  • Tiangong University

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)213-220
Number of pages8
JournalDiangong Jishu Xuebao/Transactions of China Electrotechnical Society
Volume28
Issue numberSUPPL.2
StatePublished - 2013
Externally publishedYes

Keywords

  • Genetic algorithm
  • LED heat radiator
  • Matlab simulation
  • Thermal design
  • Thermal optimization

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