基于特征工件的三轴数控机床动静态误差辨识与分离方法

Dynamic and Static Error Identification and Separation Method for Three-Axis CNC Machine Tools Based on Feature Workpiece

摘要: 本文旨在优化三轴数控机床误差辨识过程，提出了基于特征工件切削的动静态误差高效辨识与分离方法。本文设计了可反映几何误差的阶梯型特征工件，特征工件切削完成后，分别对其进行在机测量和三坐标测量机标定，基于两组测试数据实现7项几何误差与动态误差的辨识与分离，其辨识结果与激光干涉仪测量结果高度吻合，证实了本方法的可行性、高效性和准确性。This paper aims to optimize the error identification process of three-axis CNC machine tools, and proposes an efficient identification and separation method for dynamic and static errors based on feature workpiece cutting. In this paper, a stepped feature workpiece that can reflect geometric er-rors is designed, and the mapping relationship between geometric error terms and features is es-tablished. After the feature workpiece is cut, it performs on-machine measurement and offline three-coordinate measurement respectively, and realizes the identification and separation of 7 geometric errors and dynamic errors based on two sets of test data. The geometric error identifica-tion result is highly consistent with the laser interferometer measurement result, which proves the feasibility, high efficiency and accuracy.