Whole process prediction model of silicon steel strip on transverse thickness difference based on Takagi-Sugeno fuzzy network  

作　　者：Hai-nan He Zhuo-hao Dai Xiao-chen Wang Quan Yang Jian Shao Jing-dong Li Zhi-hong Zhang Liang Zhang 

机构地区：[1]National Engineering Technology Research Center of Flat Rolling Equipment,University of Science and Technology Beijing,Beijing,100083,China [2]Handan Iron and Steel Company of Hebei Iron and Steel Group Co.,Ltd.,Handan,056015,Hebei,China

出　　处：《Journal of Iron and Steel Research International》2023年第12期2448-2458,共11页

基　　金：supported by the National Key Research and Development Plan of China(No.2020YFB1713600);the National Natural Science Foundation of China(No.51975043);the Fundamental Research Funds for the Central Universities(Nos.FRF-TP-19-002A3 and FRF-TP-20-105A1);the China Postdoctoral Science Foundation(No.2021M690352).

摘　　要：The hot rolling and cold rolling control models of silicon steel strip were examined.Shape control of silicon steel strip of hot rolling was a theoretical analysis model,and the shape control of cold rolling was a data-based prediction model.The mathematical model of the hot-rolled silicon steel section,including the crown genetic model,inter-stand crown recovery model,and hot-rolled strip section prediction model,is used to control the shape of hot-rolled strip.The cold rolling shape control is mainly based on Takagi-Sugeno fuzzy network,which is used to simulate and predict the transverse thickness difference of cold-rolled silicon steel strip.Finally,a predictive model for the transverse thickness difference of silicon steel strips is developed to provide a new quality control method of transverse thickness of combined hot and cold rolling to improve the strip profile quality and increase economic efficiency.The qualified rate of the non-oriented silicon steel strip is finally obtained by applying this model,and it has been steadily upgraded to meet the needs of product quality and flexible production.

关 键 词：Hot rolling-Strip profile Transverse thickness difference Silicon steel.Takagi-Sugeno fuzzy network 

分 类 号：TG142[一般工业技术—材料科学与工程]