Rolling Force Prediction of Tandem Cold Rolling Based on PSO Neural Network

摘要：

To meet the increasing requirement of thickness and flatness accuracy of cold strip, it is becoming more and more important to improve the precision of rolling setting parameters. This paper focuses on using artificial neural network to predict the rolling force of tandem cold rolling mill and a hybrid PSO BP algorithm is used to train the network. Software Microsoft SQL Server 2000 is edited as the database to store the rolling variables and training results of artificial neural network. Through VB platform the rolling parameters are inquired from Microsoft SQL Server 2000 database. The simulation shows that the artificial neural network method gives a better performance of rolling force prediction than that of conventional model.

关键词： tandem cold rolling rolling force prediction PSO BP neural network

作者: Jiang Wanlu Chen Dongning Du Chongjie Wu Shengqiang

作者单位: College of Mechanical Engineering, Yanshan University, Qinhuangdao, Hebei, 066004, China Xingtai Vocational and Technical College, Xingtai, Hebei, 054035, China

会议类型: 国际会议

会议名称: The Fifth International Symposium on Fluid Power Transmission and Control(ISFP2007)（2007年国际流体动力传输与控制学术会议）

会议地点: 北戴河

会议语种:英文

页码: 490-493

在线出版日期: 2007-06-06（万方平台首次上网日期，不代表论文的发表时间）