Quality prediction model of the mechanical properties of hot-rolled steel strips and its application

被引:0
|
作者
Information Engineering School, University of Science and Technology Beijing, Beijing 100083, China [1 ]
不详 [2 ]
机构
来源
Beijing Keji Daxue Xuebao | 2006年 / 7卷 / 687-690期
关键词
Hot rolling - Mechanical properties - Neural networks - Quality control - Steel - Temperature - Tensile strength - Yield stress;
D O I
暂无
中图分类号
学科分类号
摘要
To predict and control the yield strength, tensile strength, and elongation of hot-rolled steel strips, a quality model, which could predict the mechanical properties of hot-rolled steel strips with technological parameters, and a reverse quality control model, which could optimize technological parameters with the mechanical properties, were established by applying the technology of artificial neural network. With the quality prediction model it was proved that the value of yield strength decrease with the increase of coiling temperature. Based on this, the mechanical properties of hot-rolled steel strips could be controlled through the real time regulation of coiling temperature to meet production requirements.
引用
收藏
相关论文
共 50 条
  • [1] Prediction model for mechanical properties of hot-rolled strips by deep learning
    Li, Wei-gang
    Xie, Lu
    Zhao, Yun-tao
    Li, Zi-xiang
    Wang, Wen-bo
    JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2020, 27 (09) : 1045 - 1053
  • [2] Prediction model for mechanical properties of hot-rolled strips by deep learning
    Wei-gang Li
    Lu Xie
    Yun-tao Zhao
    Zi-xiang Li
    Wen-bo Wang
    Journal of Iron and Steel Research International, 2020, 27 : 1045 - 1053
  • [3] Critical challenges in the prediction of mechanical properties of hot-rolled steel strip
    Samarasekera, IV
    Jin, DQ
    Brimacombe, JK
    THERMEC '97 - INTERNATIONAL CONFERENCE ON THERMOMECHANICAL PROCESSING OF STEELS AND OTHER MATERIALS, VOLS I-II, 1997, : 57 - 66
  • [4] Prediction of the Mechanical Properties of Hot-Rolled Low Carbon Steel Strips in Correlation to Chemical Compositions and Rolling Conditions
    Jiratthanakul, Noppon
    Chandra-ambhorn, Somrerk
    FRACTURE AND STRENGTH OF SOLIDS VII, PTS 1 AND 2, 2011, 462-463 : 401 - +
  • [5] Correlation of Microstructure and Fatigue Properties of Hot-Rolled Steel Strips for Automobile Structural Application
    Zhang, Dawei
    Du, Linxiu
    Lan, Liangyun
    Gao, Cairu
    Xiao, Baoliang
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2020, 29 (06) : 4009 - 4017
  • [6] Correlation of Microstructure and Fatigue Properties of Hot-Rolled Steel Strips for Automobile Structural Application
    Dawei Zhang
    Linxiu Du
    Liangyun Lan
    Cairu Gao
    Baoliang Xiao
    Journal of Materials Engineering and Performance, 2020, 29 : 4009 - 4017
  • [7] Prediction model for properties of hot-rolled steel strip: An ICME approach
    Chakraborty, Subhamita
    Chattopadhyay, Partha Protim
    Kumaran, D.
    Datta, Shubhabrata
    INTERNATIONAL JOURNAL OF COMPUTATIONAL MATERIALS SCIENCE AND ENGINEERING, 2023,
  • [8] Prediction of microstructure and mechanical properties of hot rolled low carbon steel strips
    Venkatraman, M
    Mohanty, ON
    41ST MECHANICAL WORKING AND STEEL PROCESSING CONFERENCE PROCEEDINGS, VOL 37, 1999, 37 : 717 - 734
  • [9] Prediction of Mechanical Properties of Hot-Rolled Strip Steel Based on XGBoost and Metallurgical Mechanism
    Li, Ming
    Li, Guiqin
    Li, Xihang
    Lu, Lixin
    Mitrouchev, Peter
    PHYSICS OF METALS AND METALLOGRAPHY, 2024, 125 (13): : 1728 - 1738
  • [10] Effects of Si and its content on the scale formation on hot-rolled steel strips
    Yang, Yu-Ling
    Yang, Cheng-Hsein
    Lin, Szu-Ning
    Chen, Chih-Hsiung
    Tsai, Wen-Ta
    MATERIALS CHEMISTRY AND PHYSICS, 2008, 112 (02) : 566 - 571