• 机械基础工程 •

### 工件分特征下的五轴数控机床关键几何误差分析与补偿方法

1. 宁波大学机械工程与力学学院，宁波，315211
• 出版日期:2022-07-25 发布日期:2022-07-29
• 通讯作者: 项四通（通信作者），男，1989年生，副教授。研究方向为数控机床精密化。E-mail:xiangsitong@nbu.edu.cn。
• 作者简介:卢成伟，男，1997年生，硕士研究生。研究方向为数控机床误差补偿技术。E-mail:luchengwei188@163.com。
• 基金资助:
国家自然科学基金（51705262）；浙江省自然科学基金（LY20E050005）

### Key Geometric Error Analysis and Compensation Method of Five-axis CNC Machine Tools under Workpiece Feature Decomposition

LU Chengwei;QIAN Bozeng;WANG Huimin;XIANG Sitong

1. Faculty of Mechanical Engineering and Mechanics,Ningbo University,Ningbo，Zhejiang,315211
• Online:2022-07-25 Published:2022-07-29

Abstract: A method was proposed to analyze and compensate the key geometric errors of five-axis CNC machine tools under workpiece feature decomposition. The complex workpieces were decomposed by the features, and the key geometric errors were identified and compensated through sensitivity analysis under the workpiece feature decomposition, so as to improve the overall machining accuracy of the workpieces. Taking a complex workpiece as an example, firstly, it was decomposed into four typical features: plane, inclined plane, cylinder and cone-frustum. Then, based on the sensitivity analysis, the key geometric errors corresponding to each typical feature were identified respectively. Finally, error compensation was made by feature decomposition. The experiments were carried out on an AC double-turntable five-axis machine tool, and the experimental results show that the sum proportion of key geometric error sensitivity coefficients obtained by identification are all more than 90%. After compensation, the machining accuracy of the four typical features of the workpiece is improved by 20%~30%. The results show that the proposed method may effectively identify the key geometric errors under different workpiece feature decomposition, thus improving the machining accuracy of complex workpieces.