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Proceedings of 2009 International Symposium on Computer Science and Computational Technology (ISCSCT 2009)

Huangshan, China, December 26-28, 2009

Editors: Fei Yu, Guangxue Yue, Jian Shu, Yun Liu

AP Catalog Number: AP-PROC-CS-09CN005

ISBN: 978-952-5726-07-7 (Print), 978-952-5726-08-4 (CD-ROM)

Page(s): 143-146

On-line Modeling Method of Rolling Mill Based Least-squares Regression Analysis

Zhou Wan, Xiaodong Wang, Xin Xiong, and Jiande Wu

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Iron and steel industry is the base of the country economy. It is the important support of the social developing, and is the important basic industry of the modern economic. This paper studies the rolling mechanical model of rolling process control, fluid stress model, rolling torque model and the temperature change models. And put forward an on-line modeling method of rolling mill based Least-squares regression analysis, this method improve the accuracy of mathematical model of rolling. In a word, steel rolling is complicated system engineering. The system optimization with the system engineering to analyze the whole produces process is an inevitable trend.

Index Terms

rolling mill; on-line model; least-squares regression analysis

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