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

作　　者：吴昊 刘超 

机构地区：[1]宁波工程学院国际交流学院,浙江 宁波

出　　处：《机械工程与技术》2023年第5期430-442,共13页Mechanical Engineering and Technology

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.

关 键 词：机床精度 特征工件 几何误差 误差辨识 误差分离 

分 类 号：TG6[金属学及工艺—金属切削加工及机床]