贺高红

个人信息Personal Information

教授

博士生导师

硕士生导师

任职 : 精细化工全国重点实验室主任,教育部智能材料化工前沿科学中心执行主任,大连理工大学膜科学与技术研究开发中心主任

性别:女

毕业院校:中国科学院大连化物所

学位:博士

所在单位:化工学院

学科:化学工程. 膜科学与技术. 生物医学工程

联系方式:hgaohong@dlut.edu.cn

电子邮箱:hgaohong@dlut.edu.cn

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序列数编码的遗传算法柔性优化多股流板翅式换热器通道排列

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论文类型:期刊论文

发表时间:2022-06-30

发表刊物:化工进展

所属单位:化工学院

期号:5

页面范围:1353-1359

ISSN号:1000-6613

摘要:There is a problem that the passage number cannot remain the same,when the crossover and the mutation operation are performed to optimize the passage arrangement of multi-stream plate-fin heat exchanger(MS-PFHE) by genetic algorithm(GA) using the real coding. Hence,an improved GA using ordinal number encoding was proposed to optimize the passage arrangement of MS-PFHE. On this basis,the crossover and the mutation operation can be successfully performed between individuals,and an optimization model of passage arrangement was built with the mean square deviation of heat load accumulation in the passage as the objective function. The passage arrangement of MS-PFHE was optimized,which contained 4 streams and 57 passages,and flexibility of the system was analyzed by several operation points. The results showed that,the mean square deviation of heat load accumulation of the optimized design scheme in this study was 3562.9W,which was 2.7% lower than the empirical method in the literature,and it was 15.1% lower than the result obtained by GA using the real coding. In addition,the heat load accumulation fluctuated to the zero line. It indicated that GA using ordinal number encoding can increase population individuals variety in GA and improve searching efficiency,so that the algorithm can have better performance in reaching the global optimum.

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