| 基于遗传算法的百叶窗翅片换热器多目标优化 |
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| 引用本文： | 刘欣欣,叶建明,杨雨燊,彭旭,刘鑫鑫,王迪,向飒,王定标.基于遗传算法的百叶窗翅片换热器多目标优化[J].低温与超导,2020(6):60-65. |
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| 作者姓名： | 刘欣欣 叶建明 杨雨燊 彭旭 刘鑫鑫 王迪 向飒 王定标 |
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| 作者单位： | 郑州大学化工学院;浙江创立汽车空调有限公司 |
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| 基金项目： | 国家自然科学基金资助项目(21576245)资助。 |
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| 摘 要： | 为减小平行流换热器空气侧热阻,本文采用Ansys Workbench软件对百叶窗翅片式换热器进行多目标优化。在翅片厚度l_d分别取1、0.5 mm时,同时改变翅片间距f_d和百叶窗角度q,设定阻力因子f最小、传热因子j最大为优化目标。结果表明:翅片厚度l_d=1 mm时最优结构为θ=29.75°、f_d/2=0.9791 mm,最大综合性能因子JF为0.0671;翅片厚度l_d=0.5 mm时最优结构θ=25.65°、f_d/2=0.69 mm,最大综合性能因子JF为0.0675。
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| 关 键 词： | 百叶窗翅片 遗传算法 多目标优化 综合性能因子 |
Multi objective optimization of louver fin heat exchanger based on genetic algorithm |
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| Liu Xinxin,Ye Jianming,Yang Yushen,Peng Xu,Liu Xinxin,Wang Di,Xiang Sa,Wang Dingbiao.Multi objective optimization of louver fin heat exchanger based on genetic algorithm[J].Cryogenics and Superconductivity,2020(6):60-65. |
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| Authors: | Liu Xinxin Ye Jianming Yang Yushen Peng Xu Liu Xinxin Wang Di Xiang Sa Wang Dingbiao |
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| Institution: | (School of Chemical Engineering,Zhengzhou University,Zhengzhou 450001,China;Zhejiang Chuangli Automotive Air Conditioner Co,Ltd,Longquan 323000,China) |
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| Abstract: | In order to reduce the air side thermal resistance of parallel flow heat exchanger,this paper used Ansys Workbench software to optimize the louver fin heat exchanger.When the fin thickness l_dwas 1 mm and 0.5 mm respectively,the fin spacing f_d and louver angleθwere changed at the same time.Set the resistance factor f to be the smallest and the heat transfer factor j to be the optimization target.The results show that when the fin thickness l_d=1 mm,the optimal structure isθ=29.75°,f_d/2=0.9791 mm,and the maximum comprehensive performance factor JF is 0.0671;when the fin thickness l_d=0.5 mm,the optimal structure isθ=25.65°,f_d/2=0.69 mm,and the maximum comprehensive performance factor JF is 0.0675. |
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| Keywords: | Louver fins Genetic algorithm Multiobjective optimization Comprehensive performance factor |
| 本文献已被 CNKI 维普 等数据库收录！ |
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