用工业机器人实现增材制造后处理自动化

Pascal Becker, Christian Eichmann, A. Rönnau, R. Dillmann
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引用次数: 2

摘要

使用工业机器人进行小规模制造甚至单件生产很少是经济的。在考虑所有边界条件的情况下,教授无碰撞轨迹需要大量的时间和金钱投入,这阻碍了机器人的使用。这就是为什么在行业中仍然普遍的做法是手动执行单个后处理步骤,尽管它们可以通过今天的技术可能性自动化。在本文中,我们提出了一种如何使用现有生产数据(STL和g代码)来生成轨迹以自动化后处理步骤的方法。然后,这些路径可以由工业机器人执行,例如,对添加制造的物体进行后处理并移除其支撑结构。在此过程中,物体可能不会被损坏,因此机器人及其工具的所有运动都要检查是否与物体的某些部分和环境发生碰撞。在删除材料时,相应的数据结构会相应地更新,以始终提供当前状态的真实表示。通过成功地从多个不同形状的物体中去除支撑结构,对该方法进行了评估。此外,我们使用相同的方法来磨口袋的材料只是通过改变输入数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automation of Post-Processing in Additive Manufacturing with Industrial Robots
The use of industrial robots for the production of small scale manufacturing or even single pieces is rarely economical. The high investment of time and money required to teach a collision-free trajectory under consideration of all boundary conditions prevents the usage of robots until now. That is why it is still common practice in the industry for individual post-processing steps to be carried out manually, although they could be automated with today’s technical possibilities. In this paper, we present an approach on how to use existing production data (STL and G-code) to generate trajectories to automate post-processing steps. These paths can then be executed by an industrial robot, for example to post-process an additive manufactured object and remove its support structures. The object may not be damaged during the process, so all movements of the robot and its tool are checked for collisions with certain parts of the object and the environment. While material is being removed, the corresponding data structure is updated accordingly to always provide a realistic representation of the current state. This approach was evaluated by removing support structures from multiple and different-shaped objects successfully. Furthermore, we used the same approach to mill pockets in material just by changing the input data.
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