| 应用遗传算法优化设计壳管式换热器 |
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| 引用本文： | 李夔宁,张继广,李进,郭军峰.应用遗传算法优化设计壳管式换热器[J].重庆大学学报(自然科学版),2011,34(8):97-102. |
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| 作者姓名： | 李夔宁 张继广 李进 郭军峰 |
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| 作者单位： | 重庆大学动力工程学院;重庆大学低品位能源利用技术及系统教育部重点实验室; |
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| 基金项目： | 重庆市建委科技计划项目(城科字2009第28号); 重庆大学“211工程”三期创新人才培养建设计划研究生开放实验室项目 |
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| 摘 要： | 针对壳管式换热器传统设计方法繁杂且结果又不能满足最佳经济费用的缺点,引入遗传算法对壳管式换热器进行设计。建立了相应的数学模型并以设备总费用为目标函数,对换热器进行优化设计。利用遗传算法智能及多点搜索等特性,不断地迭代优化变量,在优化变量值和约束条件范围内,得到最小目标函数的设计结果。采用了2个实际算例进行测试,结果显示在满足换热性能的前提下,优化后总费用都有降低,降幅分别为18.2%,7.98%。
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| 关 键 词： | 遗传算法 优化 费用 壳管式换热器 |
| 收稿时间： | 2/9/2011 12:00:00 AM |
Optimization design of shell-and-tube heat exchangers based on genetic algorithm |
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| LI Kui-ning,ZHANG Ji-guang,LI Jin and GUO Jun-feng.Optimization design of shell-and-tube heat exchangers based on genetic algorithm[J].Journal of Chongqing University(Natural Science Edition),2011,34(8):97-102. |
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| Authors: | LI Kui-ning ZHANG Ji-guang LI Jin and GUO Jun-feng |
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| Institution: | LI Kui-ning,ZHANG Ji-guang,LI Jin,GUO Jun-feng (a.College of Power Engineering,b.Key Laboratory of Low-grade Energy Utilization Technologies and Systems,Ministry of Education,Chongqing University,Chongqing 400044,P.R.China) |
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| Abstract: | Genetic algorithm(GA) is used for the optimal design of shell-and-tube heat exchangers due to the fact that traditional designs for shell-and-tube heat exchangers are complicated and uneconomical.To optimize the design of heat exchangers,mathematical models are established and the total costs are used as the objective function.Taking advantage of GA's intelligent and multi-searching characteristics,researchers continuously iterate optimization variables and then obtain the minimum objective function of the ... |
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| Keywords: | genetic algorithms optimization costs shell-and-tube heat exchangers |
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