Geometric error identification method for machine tools based on the spatial body diagonal error model

被引:3
|
作者
Wang, Sitong [1 ]
He, Gaiyun [1 ]
Tian, Wenjie [2 ]
Zhang, Dawei [1 ]
Song, Yumeng [3 ]
Yan, Yichen [1 ]
Xie, Ran [1 ]
机构
[1] Tianjin Univ, Key Lab Mech Theory & Equipment Design, Minist Educ, Tianjin 300354, Peoples R China
[2] Tianjin Univ, Sch Marine Sci & Technol, Tianjin 300354, Peoples R China
[3] Univ Warwick, Sch Engn, Coventry CV4 7DL, W Midlands, England
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Body diagonal error; Multibeam laser interferometer; Spatial error measurement; Geometric error identification; Two-step regularization; TESTING MEASURING MACHINES; ACCURACY IMPROVEMENT; COMPENSATION; AXES;
D O I
10.1007/s00170-022-09633-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the identification of the geometric error in the CNC machine tools, this paper proposes a geometric error identification method for machine tools based on the spatial body diagonal error model. A body diagonal error measurement method is proposed to obtain the spatial error, which avoids repeated installation errors. In order to address the pathological problem in geometric error identification, a two-step regularization method based on the spatial body diagonal error model is proposed. Firstly, the mapping relationship between the geometric error of the machine tools and the spatial body diagonal error, which is measured by a multibeam laser interferometer, is established. Secondly, a two-step regularization method is adopted to improve the identification accuracy and the stability. Finally, the body diagonal error measurement method is applied to a horizontal three-axis machining center, and the measurement results show that the method is feasible. Simulations and experiments are performed to compare the two-step regularized identification method with the least square identification method, and the results prove the good reliability and validity of the proposed method. Comparing the identification results with the measurement results, the absolute error is less than 4.8584 mu m, and the relative error is less than 25.6062%. It shows that the spatial body diagonal error model proposed in this paper is comprehensive, and the geometric error identification method is systematic and universal.
引用
收藏
页码:7997 / 8017
页数:21
相关论文
共 50 条
  • [1] Geometric error identification method for machine tools based on the spatial body diagonal error model
    Sitong Wang
    Gaiyun He
    Wenjie Tian
    Dawei Zhang
    Yumeng Song
    Yichen Yan
    Ran Xie
    [J]. The International Journal of Advanced Manufacturing Technology, 2022, 121 : 7997 - 8017
  • [2] A method of geometric error identification and compensation of CNC machine tools based on volumetric diagonal error measurements
    Zixin Lin
    Wenjie Tian
    Dawei Zhang
    Weiguo Gao
    Lina Wang
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 124 : 51 - 68
  • [3] A method of geometric error identification and compensation of CNC machine tools based on volumetric diagonal error measurements
    Lin, Zixin
    Tian, Wenjie
    Zhang, Dawei
    Gao, Weiguo
    Wang, Lina
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (1-2): : 51 - 68
  • [4] Modeling of CNC machine tools’ spatial geometric error based on two-dimensional angle error
    Xiuqin Zhang
    Guohua Chen
    Lin Zhang
    Yongwen Hu
    Jie Mao
    Zhiyang Zhang
    [J]. SN Applied Sciences, 2023, 5
  • [5] Modeling of CNC machine tools' spatial geometric error based on two-dimensional angle error
    Zhang, Xiuqin
    Chen, Guohua
    Zhang, Lin
    Hu, Yongwen
    Mao, Jie
    Zhang, Zhiyang
    [J]. SN APPLIED SCIENCES, 2023, 5 (01):
  • [6] Geometric error model of CNC machine tools based on Abbe principle
    Zhao, Zhuang
    Lou, Zhi-Feng
    Zhang, Zhong-Ning
    Wang, Xiao-Dong
    Fan, Guang-Zhao
    Chen, Guo-Hua
    Xiang, Hua
    [J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2020, 28 (04): : 885 - 897
  • [7] Geometric error model and measuring method based on worktable for five-axis machine tools
    Jiang, Lei
    Ding, Guofu
    Li, Zhuang
    Zhu, Shaowei
    Qin, Shengfeng
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, 2013, 227 (B1) : 32 - 44
  • [8] An Optimal Method for Improving Volumetric Error Compensation in Machine Tools Based on Squareness Error Identification
    Xuemin Zhong
    Hongqi Liu
    Xinyong Mao
    Bin Li
    [J]. International Journal of Precision Engineering and Manufacturing, 2019, 20 : 1653 - 1665
  • [9] An Optimal Method for Improving Volumetric Error Compensation in Machine Tools Based on Squareness Error Identification
    Zhong, Xuemin
    Liu, Hongqi
    Mao, Xinyong
    Li, Bin
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 20 (10) : 1653 - 1665
  • [10] An identification method for crucial geometric errors of gear form grinding machine tools based on tooth surface posture error model
    Xia, Changjiu
    Wang, Shilong
    Sun, Shouli
    Ma, Chi
    Lin, Xiaochuan
    Huang, Xiaodiao
    [J]. MECHANISM AND MACHINE THEORY, 2019, 138 : 76 - 94