首页> 外文会议>Proceedings of the 10th International Conference on Steel Rolling. >Best Product Quality and High throughput in Plate Production Based on Model Based Control
【24h】

Best Product Quality and High throughput in Plate Production Based on Model Based Control

机译:基于模型控制的制版生产中的最佳产品质量和高产量

获取原文

摘要

@@ Today's demands on high-strength plate include good weldability and the reduction of costly alloys to a minimum. At the same time, geometry and shape of the plate shall have smallest possible tolerances. The production of such plate is economically possible employing thermomechanical rolling in combination with advanced process control. The use of fully automatic thermomechanical rolling using latest physical models and intelligent sequencing strategies achieves the optimum in grain refinement and thus improves mechanical properties, at the same time keeping productivity high through sophisticated mill pacing. Beside model-based thickness control and plan view pattern control for rectangularity, Profile and Flatness Control (PFC) is crucial for achieving desired dimensions of the plate. It is goal of PFC for plate mills to achieve a flat plate with the desired target profile. At the same time, for profitability of the mill, it is important to work with high throughput, I.e. Large reductions. The novel profile and flatness strategy relies on comprehensive physical models and makes use of SmartCrown?as a powerful actuator, enabling large reductions even in wide plate mills without risking edge waves. The examples are shown from both 1-stand and 2-stand plate mills. The functionality can be easily implemented into existing mills. The philosophy behind Siemens?process control is to employ physical models to describe the mill, the material to be processed as well as their interaction. Artificial neural networks are in use for modeling the influence of chemical composition which only can be described empirically -at least so far. Those neural networks are not simple correction networks but they represent physical parameters such as the yield stress. Because physics is the same at every plant, the models start well conditioned already for the first plate -a pre-requisite for a fast start-up.
机译:@@当今对高强度钢板的要求包括良好的可焊性以及将昂贵的合金减少到最低限度。同时,板的几何形状和形状应具有尽可能小的公差。采用热机械轧制与先进的工艺控制相结合,可以经济地生产这种板。使用最新物理模型和智能排序策略的全自动热机械轧制可实现最佳的晶粒细化,从而改善机械性能,同时通过复杂的铣削起搏来保持高生产率。除了用于矩形的基于模型的厚度控制和平面图控制之外,轮廓和平坦度控制(PFC)对于实现所需的板尺寸至关重要。平板轧机的PFC的目标是获得具有所需目标轮廓的平板。同时,为了提高工厂的利润,重要的是要以高产量进行工作,即大幅减少。新颖的轮廓和平面度策略依赖于全面的物理模型,并利用SmartCrown?作为强大的执行器,即使在宽板轧机中也可以进行大幅度的缩减而不会冒边缘波的风险。所示示例来自1机架和2机架平板轧机。该功能可以轻松地在现有工厂中实施。西门子过程控制的基本原理是采用物理模型来描述轧机,要处理的材料及其相互作用。人工神经网络已用于对化学成分的影响进行建模,至少到目前为止,只能凭经验进行描述。这些神经网络不是简单的校正网络,而是代表物理参数,例如屈服应力。由于每个工厂的物理原理都相同,因此对于第一块板来说,这些模型就已经具备了良好的条件,这是快速启动的先决条件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号