平整机轧制力模型在锡板连退中的研究与应用
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  • 英文篇名:Research and Application of Rolling Force Model in Tin Cal Mill
  • 作者:杨美娟
  • 英文作者:YANG Meijuan;Institute of Research of Iron and Steel,Shasteel;
  • 关键词:轧制力模型 ; 粒子群算法 ; 预报精度
  • 英文关键词:Rolling force model;;Particle swarm algorithm;;Prediction accuracy
  • 中文刊名:JCYY
  • 英文刊名:Machine Tool & Hydraulics
  • 机构:江苏省(沙钢)钢铁研究院;
  • 出版日期:2018-11-28
  • 出版单位:机床与液压
  • 年:2018
  • 期:v.46;No.472
  • 语种:中文;
  • 页:JCYY201822008
  • 页数:3
  • CN:22
  • ISSN:44-1259/TH
  • 分类号:34-36
摘要
轧制力是影响带钢平整质量的关键因素。通过分析平整机轧制力模型,充分考虑该平整机的设备工艺特点和实际工况,建立锡板连退平整机合适的轧制力模型。基于目标函数最小值,采用粒子群优化算法,通过调整模型参数提高轧制力模型预报精度。实际应用结果表明:该轧制力模型具有较高的预报精度,对实际现场具有较好的指导作用。
        Rolling force is a key factor affecting the quality of the strip.By analyzing rolling force model of the skin pass mill,its technological features and practical situation were considered,and the suitable rolling force model of the skin pass mill was deduced.Based on minimum objective function and particle swarm optimization algorithm,the rolling force model prediction accuracy was improved by adjusting the model parameters.The results show that the determined strip rolling force model has high prediction accuracy,and vital significance in guiding the actual production.
引文
[1]杨顺田.中、薄板带钢冷连轧轧制力便捷计算法研究[J].冶金自动化,2014,38(6):33-37.YANG S T. Research of the Convenient Calculation Method for Rolling Force of Medium and Light Cold-rolled Steel Strips[J]. Metallurgical Industry Automation,2014,38(6):33-37.
    [2]刘志亮,王英杰.提高1220平整机预测精度模型研究[J].塑形工程学报,2007,14(4):136-138.LIU Z L,WANG Y J. Research of Raising Precise Prediction Model on 1220 Skin Mill[J]. Journal of Plasticity Engineering,2007,14(4):136-138.
    [3]白振华.双机架平整机轧制工艺参数的计算模型[J].钢铁研究学报,2006,18(9):29-31.BAI Z H. Calculating Model of Rolling Parameters of TwoStand Planishing Mill[J]. Journal of Iron and Steel Research,2006,18(9):29-31.
    [4]白振华,康晓鹏,龙瑞兵,等.工程实用平整轧制压力模型及其自学习技术研究[J].钢铁,2008,43(10):51-54.BAI Z H,KANG X P,LONG R B,et al. Practical Temper Rolling Force Model and It's Self Study Technology[J].Iron and Steel,2008,43(10):51-54.
    [5]熊文涛,禹宝军,孙林.改进粒子群算法对1 420 mm五机架冷连轧机轧制规程的优化[J].钢铁研究学报,2014,26(11):25-28.XIONG W T,YU B J,SUN L. Improved Particle Swarm Optimization of Rolling Schedule on 1 420 mm 5-stand Tandem Cold Strip Mill[J]. Journal of Iron and Steel Research,2014,26(11):25-28.
    [6]柯晶,钱积新.应用粒子群优化的非线性系统辨识[J].电路与系统学报,2003,8(4):12-15.KE J,QIAN J X. Nonlinear System Identification Using Particle Swarm Optimization[J]. Journal of Circuits and Systems,2003,8(4):12-15.
    [7]姜万录,梁建全,王益群,等.基于改进粒子群算法的轧制负荷分配优化[J].机床与液压,2011,39(3):13.JIANG W L,LIANG J Q,WANG Y Q,et al. Load Distribution Optimization Based on Improved Particle Swarm Optimization[J]. Machine Tool&Hydraulics,2011,39(3):13.
    [8]丁鸿儒.宝钢1580热轧两辊平整机轧制力计算模型的研究[J].宝钢技术,2003(3):25-30.DING H R. Research on Rolling Force Model for 1580 Hot Skin Pass Mill at Baosteel[J]. Baosteel Technology,2003(3):25-30.
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