To address the problems of complex adjustment and limited outcomes associated with existing rotational error measurement methods
an absolute coordinate measurement method based on binocular vision was proposed to enable accurate and synchronous measurement of the five-degree-of-freedom (5-DOF) rotational errors of precision rotary axes. A binocular vision system was adopted to capture the images of the target as it moves with the rotary axis. The absolute coordinate trajectories of the target spherical centers in the world coordinate system were accurately obtained through sub-pixel edge detection
least-squares center fitting
and threedimensional coordinate reconstruction. An evaluation coordinate system was constructed with reference to the average axis line of the target
and a rotational error evaluation model based on absolute coordinate trajectories was developed to quantify the rotational errors of the precision rotary axis. The results show that all rotational errors measured by the proposed method at different rotational speeds are in good agreement with those obtained by the comparison method:the maximum measurement deviation of radial rotational error is 5.3 μm
corresponding to a deviation percentage of 18.5%; the maximum measurement deviation of axial rotational error is 1.5 μm
corresponding to a deviation percentage of 11.8%; the maximum measurement deviation of tilt rotational error is 0.0041°
corresponding to a deviation percentage of 8.1%.All measurement deviations lie within the estimated range of measurement uncertainty
indicating that the proposed binocular vision measurement method exhibits high reliability. This research provides a solution for the geometric accuracy assessment of rotary axes.
Jin An, Miao Yinxiao, Liu Dongdong, et al. Research on spindle dynamic rotation-error-measurement technology[J]. Optics and Precision Engineering, 2020, 28 (10): 2227-2243.
邵宪磊.精密转台五自由度运动误差分离及其不确定度分析[D].沈阳:沈阳建筑大学,2024.
Lee J C, Gao Wei, Shimizu Y, et al. Spindle error motion measurement of a large precision roll lathe[J]. International Journal of Precision Engineering and Manufacturing,2012,13(6):861-867.
Ma Ping, LiJianhong, Ou Jianguo, et al. Study on multistep error separation of spindle rotation precision[J]. Mechanical Science and Technology for Aerospace Engineering, 2018, 37 (6): 884-890.
Chen Ye, Zhao Xiangsong, Gao Weiguo, et al. A new method for measuring the rotational accuracy of rolling element bearings [J]. Review of Scientific Instruments,2016,87(12):125102.
Cui Hailong, Lei Dajiang, Zhang Xinjiang, et al. Measurement and analysis of the radial motion error of aerostatic ultra-precision spindle [J].Measurement, 2019,137:624-635.
Chi Yulun, Wang Guoqiang. Research on spindle rotation error detection method based on multi-step error separation method[J]. Light Industry Machinery, 2023, 41 (2): 48-56.
Kavitha C, Denis Ashok S.A new approach to spindle radial error evaluation using a machine vision system[J]. Metrology and Measurement Systems,2017,24(1):201-219.
张德伟.基于动态干涉仪的主轴回转误差检测方法研究[D].哈尔滨:哈尔滨理工大学,2016.
任博远.基于干涉条纹特征分析的主轴回转精度检测方法研究[D].哈尔滨:哈尔滨理工大学,2017.
Bao Chuanchen, Feng Qibo, Li Jiakun. Simultaneous measurement method and error analysis of the six degrees-of-freedom motion errors of a rotary axis[J]. Applied Sciences,2018,8(11):2232.
Guevel F, Viprey F, Euzenat C, et al. Development and performance evaluation of real-time geometric error compensation through position feedback modification in 5-axis machining [J].The International Journal of Advanced Manufacturing Technology,2025,137(11):5565-5584.
关裕.双频激光干涉多光路系统主轴误差测量及其比对方法研究[D].北京:北方工业大学,2024.
Ma Dong, Li Jiakun, Feng Qibo, et al. Method and system for simultaneously measuring six degrees of freedom motion errors of a rotary axis based on a semiconductor laser [J].Optics Express,2023,31(15):24127-24141.
Yang Jie, Meng Dingkun, Zhou Rongjing, et al. Interference-enhanced micro-vision-based single-shot imaging of five degrees-of-freedom error motions for ultra-precision rotary axes [J].International Journal of Machine Tools and Manufacture,2024,200:104184.
Li Qingli, Zhang Shaojun, Li Zhongfu, et al. A improved subpixel edge detecting algorithm based on polynomial interpolation[J]. Journal of University of Science and Technology Beijing, 2003, 25 (3): 280-283.
Kshaurad K, Kiran M B, Shanmuganatan S P.Minimum zone tolerance algorithm to detect roundness error for machined rods using vision system[J].Materials Today: Proceedings,2021,46(Part 13):5997-6003.
Shimizu S.Precision spindle metrology[J].Journal of Manufacturing Science and Engineering,2008,130(3):036501.