Dynamic modeling and rolling data analysis of the tandem hot rolling process. (April 2017)

• Record Type: Journal Article
• Authors: Fang-chen, Yin; Dian-hua, Zhang; Yu-cheng, Zhang
• Is Part Of: Simulation. Volume 93:Number 4(2017)
• Page Start: 307
• Page End: 321
• Publication Date: 2017-04
• Subjects: Hot strip mill -- model validation -- non-linear model -- rolling data analysis -- simulation platform; Computer simulation -- Periodicals; 003.3
• DOI: 10.1177/0037549716666688
• Languages: English
• ISSNs: 0037-5497

Abstract

Hot rolling is an essential industrial process in the production of sheet steel, a widely used product in manufacturing and construction. The hot strip mill is a complex unit including many processes and control loops and its modeling is a challenging task owing to the variety of phenomena that occur within the mill. Model validation is also challenging owing to a scarcity of measurements. In this study, a computer simulative emulation that can analyze the dynamic behaviors of the tandem hot rolling process with original non-linear rolling models has been developed and validated against a linear model and measured data. Moreover, the influence coefficients of rolling process parameters were calculated by analyzing the rolling data.