High-precision magnetorheological finishing based on robot by measuring and compensating trajectory error

被引:13
|
作者
Cheng, Runmu [1 ,2 ]
Li, Longxiang [1 ,2 ]
Li, Xingchang [1 ]
Yang, Bai [1 ,2 ]
Luo, Xiao [1 ]
Xue, Donglin [1 ,2 ]
Zhang, Xuejun [1 ,2 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun 130033, Jilin, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
来源
OPTICS EXPRESS | 2022年 / 30卷 / 25期
基金
中国国家自然科学基金;
关键词
INTERPOLATION METHODS; ACCURACY; CALIBRATION;
D O I
10.1364/OE.474959
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
The 6-DOF industrial robot has wide application prospects in the field of optical manufacturing because of its high degrees of freedom, low cost, and high space utilisation. However, the low trajectory accuracy of robots will affect the manufacturing accuracy of optical components when the robots and magnetorheological finishing (MRF) are combined. In this study, aiming at the problem of the diversity of trajectory error sources of robot-MRF, a continuous high-precision spatial dynamic trajectory error measurement system was established to measure the trajectory error accurately, and a step-by-step and multistage iterations trajectory error compensation method based on spatial similarity was established to obtain a high-precision trajectory. The experimental results show that compared with the common model calibration method and general non-model calibration method, this trajectory error compensation method can achieve accurate compensation of the trajectory error of the robot-MRF, and the trajectory accuracy of the Z-axis is improved from PV > 0.2 mm to PV < 0.1 mm. Furthermore, the finishing accuracy of the plane mirror from 0.066, to 0.016, RMS and the finishing accuracy of the spherical mirror from 0.184, RMS to 0.013, RMS using the compensated robot-MRF prove that the robot-MRF has the ability of high-precision polishing. This promotes the application of industrial robots in the field of optical manufacturing and lays the foundation for intelligent optical manufacturing.(c) 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement
引用
收藏
页码:44741 / 44768
页数:28
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