Rapid detection method of positional error for hole groupbased on multi-sensor measurement

被引:0
|
作者
Li B. [1 ]
Lan M. [1 ]
Sun B. [2 ]
Hou Y. [1 ]
机构
[1] State Key Laboratory of Mechanism Manufacture System Engineering, Xi'an Jiaotong University, Xi'an
[2] School of Mechatronic Engineering, Xi'an Technological University, Xi'an
来源
关键词
Cycloidal gear; Industrial robot; Multi-sensor; Online inspection; Positional error of hole group;
D O I
10.13196/j.cims.2018.05.003
中图分类号
学科分类号
摘要
To implement the online inspection of positional error for bearing mounting hole group on cycloidal gear of industrial robot joint RV reducer, a rapid detection method was proposed by using multi-sensor measurement system. The multi-sensor measuring device was designed according to the position relation of hole group. It was that the position information of each hole was obtained by 15 high-precision inductive sensors in the same plane, and the coordinates of each hole of measured and calibrated parts were fitted by combination calculation of multi-sensor data. An algorithm for positional error analysis was presented and the hole group position error was calculated. The measured beat was less than ten seconds and could meet the requirement of rapid online inspection in the production line. In addition, the error sources of measurement system were analyzed, and the calibration and error compensation of sensor were completed. The experimental results showed that the methods were of high accuracy and met the using of production line, and the measurement error was verified as less than or equal to 4μm by comparing with the coordinate measuring machine. It was indicated that the measurement results were accurate and reliable. © 2018, Editorial Department of CIMS. All right reserved.
引用
收藏
页码:1089 / 1097
页数:8
相关论文
共 15 条
  • [1] Huang X., He W., Fu Y., Summary of precision speed reducer of industrial robots, Machine Tool & Htdraulics, 43, 13, pp. 1-6, (2015)
  • [2] Ji S., Huang X., Review of development and application of industrial robot technology, Journal of Mechanical & Electrical Engineering, 32, 1, pp. 1-13, (2015)
  • [3] Wang T., Tao Y., Research status and industrialization development strategy of Chinese industrial robot, Journal of Mechanical Engineering, 50, 9, pp. 1-13, (2014)
  • [4] Zhang F., Qu X., Ye S., Multiple sensor fusion in large scale measurement, Optics and Precision Engineering, 16, 7, pp. 1236-1240, (2008)
  • [5] Sun J., Xi L., Du S., Sensor allocation optimization for diagnosabil ity oriented to multi-station manufacturing system, Computer Integrated Manufacturing Systems, 13, 12, pp. 2441-2445, (2006)
  • [6] Mu L., Yin Z., Xiong Y., A global calibration method for multisensor metrology system, China Mechanical Engineering, 23, 12, pp. 1428-1432, (2012)
  • [7] Liu Z., Wang J., Interacting multiple sensor filter for sensor networks, Acta Electronica Sinica, 4, 4, pp. 724-728, (2012)
  • [8] Weckenmann A., Krmer P., Hoffmann J., Manufacturing metrologystate of the art and prospects, Proceedings of the 9th International Symposium on Measurement and Quality Control, pp. 1-8, (2007)
  • [9] Li B., Sun B., Chen L., Et al., Application of laser displacement sensor in free-form surface, Optical and Precision Engineering, 23, 7, pp. 1939-1947, (2015)
  • [10] Chen H., Wang B., Luo X., Multi-sensor integrated automated inspection system, Proceedings of SPIE, 5253, pp. 528-531, (2003)