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<p>The real-time prediction of head warping and lower buckling during the production process of rough-rolled slabs has long been a persistent technical problem at the production site. An online real-time prediction system was proposed for head warping and lower buckling of rough-rolled slab based on mechanism-data dual drive. The modified Johnson–Cook constitutive model was derived and established to provide parameter support for the finite element simulation. Visual detection technology was employed to provide data. Industrial applications showed that the prediction accuracy of the prediction system described is as follows: prediction error ≤  ± 3&#xa0;mm, type prediction rate ≥ 98%. Moreover, the head warping and lower buckling of slab in the production site have been significantly improved, and the shape quality of slab has been increased by 3 times compared with that before adjustment, which meet site production requirements.</p>

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Online visual prediction system for head warping and lower buckling of hot-rolled rough slab

  • 期刊论文

  • 发表日期：

    2025年8月21日

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  • Shi-tao Ge,
  • Yan Peng,
  • Jian-liang Sun,
  • Li-cheng Han,
  • Huan-huan Wang

摘要

The real-time prediction of head warping and lower buckling during the production process of rough-rolled slabs has long been a persistent technical problem at the production site. An online real-time prediction system was proposed for head warping and lower buckling of rough-rolled slab based on mechanism-data dual drive. The modified Johnson–Cook constitutive model was derived and established to provide parameter support for the finite element simulation. Visual detection technology was employed to provide data. Industrial applications showed that the prediction accuracy of the prediction system described is as follows: prediction error ≤  ± 3 mm, type prediction rate ≥ 98%. Moreover, the head warping and lower buckling of slab in the production site have been significantly improved, and the shape quality of slab has been increased by 3 times compared with that before adjustment, which meet site production requirements.