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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
遗传-模拟退火算法优化设计管壳式换热器
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发表时间:2016-01-01
发表刊物:清华大学学报 自然科学版
所属单位:化工学院
卷号:56
期号:7
页面范围:728-734
ISSN号:1000-0054
摘要:A mathematical model was developed to optimize the design of a
shell-and-tube heat exchanger based on design data obtained by using the
Bell-Delaware method to describe the pressure drop and heat transfer on
the shell-side.The design variables were the tube diameter,the tube
length,and other geometric parameters with the Tubular Exchanger
Manufacturers Association (TEMA) standard taken as the reference for the
constraints and the minimum total heat exchanger cost as the
objective.The solution used the genetic simulated annealing algorithm
(GA-SA).This method more effectively balances the heat exchanger area
cost and pumping cost than previous methods by searching for the global
optimal solution for the main geometric heat exchanger parameters with
the minimum total cost.With the margin requirement for heat exchanger
designs for specific industrial projects,these results are close to
those given by commercial HTRI software,which indicates that this heat
exchanger design method is reliable.This method guarantees the economic
optimum without an empirical method to optimize the design variables in
the heat exchanger design which is a major weakness of HTRI software
packages.
备注:新增回溯数据