热轧立辊短行程模型解析与应用

Analysis and Application of Short Stroke Model of Hot Rolling Vertical Roll

文章通过对某1700热轧带钢生产线立辊短行程模型的解析和参数优化,通过投入神经网络自学习等措施,使带钢头尾失宽或超宽超过4 mm的比例由优化前的13.6%降低到了优化后的3.4%。通过现场数据测量,统计出板坯头尾失宽量与板坯宽度、厚度和立辊压下量的对应关系。

Through the analysis and parameter optimization of the vertical roll short stroke model of a 1700 hot strip production line,and through the input of neural network self-learning and other measures,the proportion of strip head and tail width loss or super width exceeding 4 mm is reduced from 13.6%before optimization to 3.4%after optimization.Through field data measurement,the corresponding relationship between slab head and tail width loss and slab width,thickness and vertical roll reduction is counted.