Numerical and analytical estimation of rolling force and torque in hot strip rolling

被引:2
|
作者
Aldo, Attanasio [1 ]
Del Prete, Antonio [2 ]
Primo, Teresa [2 ]
机构
[1] Univ Brescia, Via Branze 38, I-25123 Brescia, Italy
[2] Univ Salento, Dept Engn Innovat, Viale Monteroni, I-73100 Lecce, LE, Italy
关键词
Hot strip rolling; Numerical modeling; Analytical modeling; Rolling force; Torque; MECHANICAL-PROPERTIES; ANALYTICAL-MODEL; DYNAMIC-MODEL; ALLOY; PREDICTION;
D O I
10.1007/s00170-023-12707-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, both numerical and analytical method were developed for computing, in strip or plate rolling, the distribution of roll pressure, rolling force, and rolling torque (from which also rolling power can be estimated), assuming an homogeneous deformation of the rolled material. Unlike other similar models present in the literature, which solve the resulting rolling differential equation for the roll pressure, the model presented in this work solves the problem for the horizontal force. In this way, it is possible to avoid the calculation of the derivative of material flow stress curve, which is not always analytically easy and possible (i.e., point material flow stress data). The proposed numerical model is based on the friction law proposed by Chen and Kobayashi while the analytical one is based on the simple shear friction model and brings to useful analytical formulas for a quick calculation of rolling torque and force. Moreover, a relationship between the shear friction factor and Coulomb friction coefficient in rolling was found. The developed models show good agreement with experimental measures, in terms of rolling force and torque, found in literature.
引用
收藏
页码:1871 / 1886
页数:16
相关论文
共 50 条
  • [31] Combined macro-micro Modeling for rolling force and microstructure evolution to produce fine grain hot strip in tandem hot strip rolling
    Morimoto, Toshiharu
    Yoshida, Fuyuki
    Chikushi, Ichiro
    Yanagimoto, Jun
    ISIJ INTERNATIONAL, 2007, 47 (10) : 1475 - 1484
  • [32] SELF LEARNING RESEARCH ON ROLLING FORCE MODEL OF HOT STRIP ROLLING BASED ON IMPROVED ADAPTIVE DIFFERENCE
    Xi, X. L.
    Wang, B.
    METALURGIJA, 2022, 61 (01): : 179 - 181
  • [33] A novel analytical model based on arc tangent velocity field for prediction of rolling force in strip rolling
    You, Guanghui
    Li, Si
    Wang, Zhigang
    Yuan, Rui
    Wang, Meiling
    MECCANICA, 2020, 55 (07) : 1453 - 1462
  • [34] A novel analytical model based on arc tangent velocity field for prediction of rolling force in strip rolling
    Guanghui You
    Si Li
    Zhigang Wang
    Rui Yuan
    Meiling Wang
    Meccanica, 2020, 55 : 1453 - 1462
  • [35] Numerical Estimation of Rolling Load and Torque for Hot Flat Rolling of Hcss316 at Low Strain Rates Based on Mean Temperature
    Sadiq, T. O.
    Fadara, T. G.
    Aiyedun, P. O.
    Idris, J.
    INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA, 2016, 26 (26) : 11 - 29
  • [36] Temperature, roll force and roll torque during hot bar rolling
    Said, Ahmed
    Lenard, J.G.
    Ragab, A.R.
    Elkhier, M. Abo
    Journal of Materials Processing Technology, 1999, 88 (01): : 147 - 153
  • [37] On the optimization of a rolling-force model for a hot strip finishing line
    Wang, Jingcheng
    Chen, Chunzhao
    ISA TRANSACTIONS, 2007, 46 (04) : 527 - 531
  • [38] Multistep networks for roll force prediction in hot strip rolling mill
    Shen, Shuhong
    Guye, Denzel
    Ma, Xiaoping
    Yue, Stephen
    Armanfard, Narges
    Machine Learning with Applications, 2022, 7
  • [39] . Optimizing the Rolling Schedule for Cold and Hot Strip Rolling.
    Buchholz, F.-G.
    Berg- und Huettenmaennische Monatshefte, 1983, 128 (05): : 139 - 144
  • [40] Multistep networks for roll force prediction in hot strip rolling mill
    Shen, Shuhong
    Guye, Denzel
    Ma, Xiaoping
    Yue, Stephen
    Armanfard, Narges
    MACHINE LEARNING WITH APPLICATIONS, 2022, 7