| 基于遗传算法的散热器翅片优化设计 |
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| 引用本文： | 周振凯,刘兵,李健,万养涛,杜立新,王超.基于遗传算法的散热器翅片优化设计[J].电子机械工程,2019,35(5):29-33. |
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| 作者姓名： | 周振凯 刘兵 李健 万养涛 杜立新 王超 |
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| 作者单位： | 中国电子科技集团公司第二十九研究所,四川成都,610036;中国电子科技集团公司第二十九研究所,四川成都,610036;中国电子科技集团公司第二十九研究所,四川成都,610036;中国电子科技集团公司第二十九研究所,四川成都,610036;中国电子科技集团公司第二十九研究所,四川成都,610036;中国电子科技集团公司第二十九研究所,四川成都,610036 |
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| 摘 要： | 为了设计工程约束下的高性能散热器，基于散热器热阻网络模型，建立了散热器优化目标函数，利用遗传算法对目标函数进行优化，获取了工程条件约束下散热性能最优的散热器几何参数。计算结果与商用软件仿真结果符合较好，表明文中所建模型的准确性和有效性。文中的研究为提高高性能散热器的设计能力及新产品的研发效率提供了有益参考。
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| 关 键 词： | 散热器 遗传算法 热设计 优化 |
Optimization Design of Heat Sink Fins Based on Genetic Algorithm |
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| ZHOU Zhen-kai,LIU Bing,LI Jian,WAN Yang-tao,DU Li-xin and WANG Chao.Optimization Design of Heat Sink Fins Based on Genetic Algorithm[J].Electro-Mechanical Engineering,2019,35(5):29-33. |
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| Authors: | ZHOU Zhen-kai LIU Bing LI Jian WAN Yang-tao DU Li-xin and WANG Chao |
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| Affiliation: | The 29th Research Institute of CETC,The 29th Research Institute of CETC,The 29th Research Institute of CETC,The 29th Research Institute of CETC,The 29th Research Institute of CETC and The 29th Research Institute of CETC |
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| Abstract: | In order to design high performance heat sink under engineering constraints, the optimization objective function of heat sink is established based on the thermal resistance network model of the heat sink. The best geometry parameters of the heat sink under engineering constraints are obtained through genetic algorithm objective function optimization. The results are in agreement with the simulation results by commercial software, which verifies the effectiveness and accuracy of the model. The research of this paper provides a good reference for improving the design capability of high performance heat sink and the development efficiency of new products. |
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| Keywords: | heat sink genetic algorithm thermal design optimization |
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