个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:材料科学与工程学院
电子邮箱:hler@dlut.edu.cn
A particle swarm approach for optimization of secondary cooling process in slab continuous casting
点击次数:
论文类型:期刊论文
发表时间:2016-02-01
发表刊物:INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
收录刊物:SCIE、EI
卷号:93
页面范围:250-256
ISSN号:0017-9310
关键字:Secondary cooling; Heat transfer; Particle swarm optimization; Continuous casting
摘要:Secondary cooling control is the key factor for stabilizing and enhancing slab quality in continuous casting. In view of practical importance of critical boundary conditions in offline or online simulation and control during continuous casting process, accurate estimation for heat transfer coefficient of secondary cooling zone is of utmost significance. To optimize the cooling process and temperature behavior of continuous casting slab, a novel method was presented to predict the heat transfer behavior in secondary cooling process. This approach applies the particle swarm optimization (PSO) algorithm in conjunction with the mathematical heat transfer model and the experimental temperature to determine the heat transfer coefficient. Through verifying the validity and efficiency of the integrated method proposed, the temperature variation of slab surface is more coincident with measured temperatures along the casting direction. The calculation results confirm that the heat transfer coefficient could be estimated precisely with measurement temperatures using PSO algorithm. The combined approach offers an applicable technology for optimization of cooling strategy and solidifying process in continuous casting. (C) 2015 Elsevier Ltd. All rights reserved.