Measurement of spindle rotation error with multi-degree of freedom based on trajectory tracking

作者：Yuhao Ding, Wen Wang, Wei Fang, Wenqing Zhang, Keqing Lu, Chuanyong Wang, Zhanfeng Chen, Dongpo Zhao · 发表于：Measurement Science and Technology · 年份：2025 · DOI：10.1088/1361-6501/ae1a03 · 被引用次数：2 · 研究领域：Advanced Measurement and Metrology Techniques、Optical measurement and interference techniques、Advanced Surface Polishing Techniques

Abstract As a critical component of precision machining equipment such as CNC machine tools and machining centers, the rotational accuracy of the spindle profoundly impacts machining precision. In the current trend of significantly rising demand for high-precision, micro-, and nano-manufacturing, it is crucial to measure and compensate for spindle rotational errors to enhance machining accuracy effectively. However, due to various constraints, detecting spindle rotation errors remains challenging in industrial settings, where these errors, with their multiple degrees of freedom, can significantly affect machining accuracy through coupling effects. This paper proposes a method for measuring spindle rotation error with multi-degree of freedom using trajectory tracking. The method leverages industrial cameras, which are cost-effective, adaptable to varying working environments, and widely utilized in industrial applications. The radial rotation error of the spindle is determined by solving the optical trajectory using the least squares method, and the tilt error is derived by analyzing the radial synchronization error of two clamping images. This approach is straightforward to implement and exhibits superior detection efficiency compared to the error separation method. Moreover, with sub-pixel image processing, industrial cameras can obtain sub- micrometer resolution. In addition, this paper carries out the verification experiment of spindle slewing error based on mathematical s...