重庆大学学报：自然科学版2011，Vol.34Issue(8)：97-102,6.
应用遗传算法优化设计壳管式换热器
Optimization design of shell-and-tube heat exchangers based on genetic algorithm
摘要
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 design results within the optimal variable values and constraints.Two practical heat exchangers are used to test the research results.The Optimization results show that the optimized total costs have decreased by 18.2% and 7.98% respectively,which can also satisfy the heat transfer performance.Moreover,the results show that the design based on GA for shell-and-tube heat exchangers can significantly improve the economic efficiency of heat exchangers and thus can be applied to engineering practice.关键词
遗传算法/优化/费用/壳管式换热器Key words
genetic algorithms/optimization/costs/shell-and-tube heat exchangers分类
能源科技引用本文复制引用
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):97-102,6.基金项目
重庆市建委科技计划项目 （）
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 （）
