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Concept of an offline correction method based on historical data for milling operations using industrial robots

机译:基于历史数据的离线校正方法的概念,用于使用工业机器人进行铣削操作

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摘要

Industrial robots for machining applications have been researched to achieve an alternative, flexible and less expensive machining technology against conventional machine tools. The previous work on industrial robots indicates that industrial robots are only applicable without requirement of high accuracy. The low accuracy and instability under various configurations of industry robot are still major barriers for deploying robots for machining in industries. In this paper, a new method, namely historical data based correction (HDC), is presented to improve the accuracy of industrial robots for milling operations. First, the HDC method is able to calculate the corrected values to compensate the systematical errors during milling operations. Consequently, new tool paths of robots with corrected values are generated. In addition, the HDC method is able to fulfill the requirement of large-scale production. With the proposed method, the surface quality of the machined parts can be improved by more than 60% without using any additional measuring systems.
机译:已经研究了用于加工应用的工业机器人,以实现一种替代传统机床的,灵活,便宜的加工技术。先前关于工业机器人的工作表明,工业机器人仅在不需要高精度的情况下才适用。在工业机器人的各种配置下,低精度和不稳定仍然是在工业中部署机器人进行加工的主要障碍。本文提出了一种新的方法,即基于历史数据的校正(HDC),以提高用于铣削操作的工业机器人的精度。首先,HDC方法能够计算校正后的值,以补偿铣削操作期间的系统误差。因此,将生成具有校正值的机器人的新刀具路径。另外,HDC方法能够满足大规模生产的要求。使用所提出的方法,可以在不使用任何其他测量系统的情况下将加工零件的表面质量提高60%以上。

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