Mill automation is based on models with neural networks for pass schedule calculation and computation of set points for roll shifting and bending, and parameters for dynamic flatness control.
轧机自动化以神经网络模型为基础进行道次表、弯辊和窜辊设定点、以及平直度动态控制参数的计算。
Crown and flatness are the targets of shape control, also are the foundation of the setting and the adjusting of bending forces in hot strip mills.
凸度和平坦度是板形控制的目标，也是对热连轧机工作辊的弯辊力进行设定和调整的基础。
However, for work roll and intermediate roll bending compensation model both quadratic and quartic components of strip flatness can be controlled effectively.
而采用工作辊与中间辊弯辊相结合的板形前馈控制模型则对二次和四次板形均具有很强的控制能力。
应用推荐