宝马及奥迪的冲压产线质量检测及自动调节集成化智能模具
为了实现锐棱和其他具备挑战性的破裂起皱敏感性的产品钣金生产，因为每批次材料性能、生产班次期间模具升温和模具磨损等情况的波动，有必要实现冲压模具的智能控制，目前欧洲ABB车企采取的基本方法是基于板料流入量的自动调节压边力，即在产线集成板料料厚、强度、板料润滑、模具温度等集成感应器，同时在拉延模具上集成一个板料流入的传感器和自适应压边力调节器。钣金届的老铁，加油吧，这就是智能工装。
Robust in-line data acquisition systems are required for the realization of process monitoring and control systems in press shops. A promising approach is the integration of sensors in the following press tools. There they can be easy integrated and maintained. It also achieves the necessary robustness for the rough press environment. Such concepts were already investigated for the measurement of the geometrical accuracy as well as for the material flow of inner part areas. They enable the monitoring of each produced part’s quality. An important success factor are practical approaches to the use of this new process information in press shops. This work presents various applications of these measuring concepts, based on real car body components of the BMW Group. For example, the procedure of retroactive error analysis is explained for a side frame. It also shows how this data acquisition can be used for the optimization of drawing tools in tool shops. With the skid-line, there is a continuous value that can be monitored from planning to serial production.
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