Research on quarter wave shape control of cold rolled high strength steel based on BP-MOPSO

作     者：Yuan, Tieheng Sun, Wenquan He, Anrui Chen, Luzhen Liu, Chao Yong, Shengyi 

作者机构：Univ Sci & Technol Beijing Natl Engn Res Ctr Adv Rolling & Intelligent Mfg 30 Xueyuan Rd Beijing 100083 Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY》 (国际先进制造技术杂志)

年 卷 期：2022年第122卷第9-10期

页      面：3867-3880页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

基　　金：National Natural Science Foundation of China 

主　　题：BP neural network MOPSO algorithm Cold rolling bending force ABAQUS finite element Quarter wave 

摘      要：The problem of quarter waves is more fundamental in the production of cold rolled high strength steel, which harms the quality of the strip shape. To reasonably and maximally exploit the quarter wave shape control capability of the cold rolling six-roller UCM mill, this paper establishes a BP-MOPSO-based shape optimization model for the 65MN strip produced by the 1720 UCM mill and makes a decision selection from the Pareto frontier according to the finished cold rolled strip shape requirements. To verify the validity of the model, an integrated static implicit model of the roll mill based on the initial mechanical properties and section profile is established based on ABAQUS software. The simulation results show that the appropriate increase in roll bending force can effectively reduce the regional depression at the quarter position of the strip, and the optimal bending force setting value found by the BP-MOPSO model can improve the strip shape to the maximum extent. The application shows that the optimized bending force setting value decreases the average shape high point from 16 to 8 IU in actual production, which can reduce the generation of quarter wave shapes of high-strength steel to a certain extent and improve the accuracy level of shape control in UCM mills.