Modeling and Optimizing of Deformed Steel Bars Hot Rolling

Peng Zhang, Yunhui Du, Xueping Ren

分享

计量
  • 文章访问数:  284
  • HTML全文浏览量:  56
  • PDF下载量:  8
  • 被引次数: 0

目录

    Cite this article as:

    Peng Zhang, Yunhui Du, and Xueping Ren, Modeling and Optimizing of Deformed Steel Bars Hot Rolling, J. Univ. Sci. Technol. Beijing , 6(1999), No. 4, pp.289-291.
    Peng Zhang, Yunhui Du, and Xueping Ren, Modeling and Optimizing of Deformed Steel Bars Hot Rolling, J. Univ. Sci. Technol. Beijing , 6(1999), No. 4, pp.289-291.
    引用本文 PDF XML SpringerLink
    Materials

    Modeling and Optimizing of Deformed Steel Bars Hot Rolling

      通信作者:
    Based on experimental data, a nonlinear model about tensile strength and technical parameters such as Mn and St content, finishing rolling speed and finishing rolling temperature for deformed steel bars in the process of hot rolling was established by using artificial neural networks. The model can be optimized with a genetic algorithm. The optimum rolling parameters were obtained.

     

    Materials

    Modeling and Optimizing of Deformed Steel Bars Hot Rolling

    Author Affilications
    • Received: 03 May 1999;
    Based on experimental data, a nonlinear model about tensile strength and technical parameters such as Mn and St content, finishing rolling speed and finishing rolling temperature for deformed steel bars in the process of hot rolling was established by using artificial neural networks. The model can be optimized with a genetic algorithm. The optimum rolling parameters were obtained.

     

    Relative Articles

    Weihong Xu, Wei You, Yaxiu Liu, Bingzhe Bai, Hongsheng Fang. Quantitative analysis of Ni effect on CCT diagrams of novel air-cooled bainite steels using artificial neural network models [J]. 矿物冶金与材料学报(英文版).

    View details

    Yudong Tian, Xinjian Zhu, Guangyi Cao. Proton exchange membrane fuel cells modeling based on artificial neural networks [J]. 矿物冶金与材料学报(英文版).

    View details

    Deling Zheng, Ruixin Liang, Ying Zhou, Ying Wang. A chaos genetic algorithm for optimizing an artificial neural network of predicting silicon content in hot metal [J]. 矿物冶金与材料学报(英文版).

    View details

    Yan Wang, Hongwei Sun, Yikang Sun. A hybrid genetic algorithm based on mutative scale chaos optimizationstrategy [J]. 矿物冶金与材料学报(英文版).

    View details

    Anrui He, Quan Yang, Jinwu Xu, Xianlin Chen, Gangcheng Wei, Siqing Huang. Backup roll contour in finishing trains of hot rolling based on hybrid genetic algorithm [J]. 矿物冶金与材料学报(英文版).

    View details

    Jinwu Xu, Jiwen Liu. A New Genetic Algorithm Based on Niche Technique and Local Search Method [J]. 矿物冶金与材料学报(英文版).

    View details

    Int. J. Miner. Metall. Mater., 2000, 7(1): 72-75.

    PDF View details

    Bin Wu, Xuyan Tu, Jian Wu. Generalized Self-Adaptive Genetic Algorithms [J]. 矿物冶金与材料学报(英文版).

    View details

    Zhichun Mu, KeLiu, Zichao Wang, Datai Yu, D. Koshal, D. Pearce. Application of Genetic Algorithms in Identification of Linear Time-Varying System [J]. 矿物冶金与材料学报(英文版).

    View details

    Qing Li, Deling Zheng, Jianlong Zhou. Stabilization of Chaotic Time Series by Proportional Pulse in the System Variable Based on Genetic Algorithm [J]. 矿物冶金与材料学报(英文版).

    View details

    Xiaodan Zhang, Zhengbin Tang, Changchun Ge. Genetic Algorithm for the Thermal Stresses Optimum Design of Functionally Gradient Material Plate [J]. 矿物冶金与材料学报(英文版).

    View details

    /

    返回文章
    返回