Flatness pattern recognition of ultra-wide tandem cold rolling mill

被引:0
|
作者
Bao, Ren-Ren [1 ]
Zhang, Jie [1 ]
Li, Hong-Bo [1 ]
Jia, Sheng-Hui [2 ]
Liu, Hai-Jun [2 ]
Xiao, Sheng [2 ]
机构
[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing,100083, China
[2] Wuhan Iron and Steel (Group) Corporation, Wuhan,430083, China
关键词
Pattern recognition;
D O I
10.13374/j.issn2095-9389.2015.s1.002
中图分类号
学科分类号
摘要
A cubic flatness pattern expressed by Legendre orthogonal polynomial was introduced to build a new flatness pattern recognition model, in which least squares regression was used. Using the new model, flatness pattern recognitions of 2180 mm CVC ultra-wide cold rolling mill and 1550 mm UCM common wide tandem cold rolling mill were carried out. The results show that the main flatness error of the strip produced by the ultra-wide mill is OS cubic waves considering the cubic flatness pattern, and quarter waves without the cubic pattern; the main flatness error of the strip produced by the common wide mill is central waves whether considering the cubic flatness pattern or not, therefore the necessity of introducing cubic flatness pattern for the new recognition model is verified. Finally, potential application of the new model in the asymmetric flatness control of ultra-wide tandem cold rolling mill is discussed. © All right reserved.
引用
收藏
页码:6 / 11
相关论文
共 50 条
  • [1] Study on the Shifting Model of Edge Drop Control in Ultra-Wide 6-high Tandem Cold Rolling Mill
    Cao Jian-guo
    Wang Yan-lin
    Li Hong-bo
    Song Mu-qing
    Jia Sheng-hui
    Gong Gui-liang
    MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 452-453 : 1257 - +
  • [2] Automatic flatness control system in tandem cold rolling mill for ultra-thin gauge strip
    Saito, Teruhiro
    Ohnishi, Takeo
    Komatsu, Tomio
    Miyoshi, Sadayuki
    Kitamura, Hideki
    Kitahama, Masanori
    Kawasaki Steel Technical Report, 1991, (24): : 41 - 46
  • [3] Research on the Set Curve for Tandem Cold Rolling Mill Automatic Flatness Control
    Zhou, Xiaomin
    Yue, Xiaoxue
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 1617 - 1621
  • [4] Kernel extreme learning machine for flatness pattern recognition in cold rolling mill based on particle swarm optimization
    Xiaogang Li
    Yiming Fang
    Le Liu
    Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2020, 42
  • [5] Kernel extreme learning machine for flatness pattern recognition in cold rolling mill based on particle swarm optimization
    Li, Xiaogang
    Fang, Yiming
    Liu, Le
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2020, 42 (05)
  • [6] The Research on the Coupling Relation between Flatness and Edge Drop for Tandem Cold Rolling Mill
    Zhou, Xiaomin
    Wu, Yunfeng
    Mao, Yangjun
    ADVANCES IN ROLLING EQUIPMENT AND TECHNOLOGIES II, 2012, 572 : 104 - 109
  • [7] An Adaptive Control System of Flatness for Tandem Cold Mill
    Tan Shubin
    Shen Shaokui
    Liu Jianchang
    Yu Xia
    2013 32ND CHINESE CONTROL CONFERENCE (CCC), 2013, : 8353 - 8356
  • [8] Improved flatness in EKO's tandem cold mill
    Jelali, M
    Wolff, A
    Kipper, H
    Schiller, M
    REVUE DE METALLURGIE-CAHIERS D INFORMATIONS TECHNIQUES, 2003, 100 (10): : 987 - 992
  • [9] Research and Application of Flatness Control for Tandem Cold Rolling
    Li Xiaogang
    Fang Yiming
    Liu Le
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 3431 - 3436
  • [10] New flatness control system in reverse cold rolling mill
    Higashi, Kazuhiko
    Itoh, Shigeharu
    Sano, Toyokazu
    Ibata, Haruhiro
    KOBELCO Technology Review, 1991, (10): : 50 - 53