摘要
带钢在轧制过程中的跑偏会直接影响带钢产品的质量,破坏轧制过程的稳定性。为了能够提前预测带钢跑偏的发生和跑偏的方向,提前进行调控,根据轧制过程中带钢横截面尺寸和形状的变化提出了判别带钢跑偏的参数-跑偏因子,建立了跑偏预测模型,采用有限元方法针对带钢跑偏进行了仿真计算,模型中跑偏因子大于零,带钢向传动侧跑偏,并且随着跑偏因子变大,跑偏量也越大;在1 450 mm轧机生产线生产中使用跑偏因子对带钢跑偏方向进行了预测。现场结果与跑偏因子预测方向相同,经过提前干预,该轧机跑偏量由最大50 mm降低到最大10 mm。由此可见,利用跑偏因子预测带钢跑偏具有可行性。
The running deviation of the strip during strip rolling process will directly affect the quality of the strip product, damage the stability of the rolling process. In order to predict the direction of strip deviation and regulate early, the method which uses the running deviation factor parameter to discriminate the deviation is given based on the changes of the cross-section profile and size of the rolled piece during strip rolling process, establish the deviation model of the strip. The finite element method is used to simulation calculate, when the deviation factor is greater than zero, the strip deviates toward the transmission side and the deviation increases as the deviation factor increases. The 1 450 mm mill production data is also used to validate the running deviation factor. The simulation results and field results are the same with prediction direction of deviation factor, after early intervention, the deviation decreased from 50 mm to 10 mm. This shows that the method proposed above is feasible.
作者
李璐
张振林
肖斌
LI Lu;ZHANG Zhenlin;XIAO Bin(Gangyan Engineering Design Co.,Ltd.,Beijing 100081,China)
出处
《金属功能材料》
CAS
2023年第1期104-109,共6页
Metallic Functional Materials
关键词
带钢跑偏
跑偏因子
跑偏预测
有限元仿真
running deviation of strip
running deviation factor
running deviation prediction
finite element method