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IJAT Vol.17 No.5 pp. 504-511
doi: 10.20965/ijat.2023.p0504
(2023)

Research Paper:

On Thermal Positioning Error of a Planar Robot Arm over Entire Workspace

Soichi Ibaraki ORCID Icon and Kandai Kawano

Graduate School of Advanced Science and Engineering, Hiroshima University
1-4-1 Kagamiyama, Higashi-hiroshima, Hiroshima 739-8527, Japan .

Corresponding author

Received:
February 25, 2023
Accepted:
June 9, 2023
Published:
September 5, 2023
Keywords:
industrial robot, planar robot arm, thermal error, positioning accuracy, probing
Abstract

Robot links are typically subjected to larger thermal deformations than machine-tool structures. In this study, the thermal effect on the two-dimensional (2D) positioning error of a planar robot arm over its entire workspace was investigated. It was experimentally verified that the Denavit–Hartenberg (DH) parameters, namely the link lengths and angular offset of the rotary axis, could be the key contributors to the thermal variation in the 2D positioning error. The experiment revealed that the variation in the angular positioning deviations of the rotary axes was marginal. This paper presents an on-machine test to identify the link lengths and the angular offset by probing an artifact bar of a pre-calibrated length. To compensate for the thermal influence, it is effective to identify the DH parameters by periodically performing the proposed test.

Cite this article as:
S. Ibaraki and K. Kawano, “On Thermal Positioning Error of a Planar Robot Arm over Entire Workspace,” Int. J. Automation Technol., Vol.17 No.5, pp. 504-511, 2023.
Data files:
References
  1. [1] S. Ibaraki, N. A. Theissen, A. Archenti, and M. M. Alam, “Evaluation of Kinematic and Compliance Calibration of Serial Articulated Industrial Manipulators,” Int. J. Automation Technol., Vol.15, No.5, pp. 567-580, 2021. https://doi.org/10.20965/ijat.2021.p0567
  2. [2] J. Denavit and R. S. Hartenberg, “A Kinematic Notation for Lower-Pair Mechanisms Based on Matrices,” J. of Applied Mechanics, Vol.22, No.2, pp. 215-221, 1955. https://doi.org/10.1115/1.4011045
  3. [3] International Organization for Standardization (ISO), “ISO 230-1:2012: Test Code for Machine Tools – Part 1: Geometric Accuracy of Machines Operating Under No-Load or Quasi-Static Conditions,” 2012.
  4. [4] N. Zhao and S. Ibaraki, “Novel Kinematic Model of a SCARA-Type Robot with Bi-Directional Angular Positioning Deviation of Rotary Axes,” The Int. J. of Advanced Manufacturing Technology, Vol.120, No.7, pp. 4901-4915, 2022. https://doi.org/10.1007/s00170-022-08943-5
  5. [5] S. Ibaraki and R. Usui, “A Novel Error Mapping of Bi-Directional Angular Positioning Deviation of Rotary Axes in a SCARA-Type Robot by ‘Open-Loop’ Tracking Interferometer Measurement,” Precision Engineering, Vol.74, pp. 60-68, 2022. https://doi.org/10.1016/j.precisioneng.2021.11.002
  6. [6] M. M. Alam, S. Ibaraki, K. Fukuda, S. Morita, H. Usuki, N. Otsuki, and H. Yoshioka, “Inclusion of Bidirectional Angular Positioning Deviations in the Kinematic Model of a Six-DOF Articulated Robot for Static Volumetric Error Compensation,” IEEE/ASME Trans. on Mechatronics, Vol.27, No.6, pp. 4339-4349, 2022. https://doi.org/10.1109/TMECH.2022.3156056
  7. [7] S. Ibaraki, K. Fukuda, M. M. Alam, S. Morita, H. Usuki, N. Otsuki, and H. Yoshioka, “Novel Six-Axis Robot Kinematic Model with Axis-to-Axis Crosstalk,” CIRP Annals, Vol.70, No.1, pp. 411-414, 2021. https://doi.org/10.1016/j.cirp.2021.04.079
  8. [8] M. Weck, P. McKeown, R. Bonse, and U. Herbst, “Reduction and Compensation of Thermal Errors in Machine Tools,” CIRP Annals, Vol.44, No.2, pp. 589-598, 1995. https://doi.org/10.1016/S0007-8506(07)60506-X
  9. [9] K. Wegener, S. Weikert, and J. Mayr, “Age of Compensation – Challenge and Chance for Machine Tool Industry,” Int. J. Automation Technol., Vol.10, No.4, pp. 609-623, 2016. https://doi.org/10.20965/ijat.2016.p0609
  10. [10] E. Sevinchan, I. Dincer, and H. Lang, “A review on Thermal Management Methods for Robots,” Applied Thermal Engineering, Vol.140, pp. 799-813, 2018. https://doi.org/10.1016/j.applthermaleng.2018.04.132
  11. [11] U. Heisel, F. Richter, and K.-H. Wurst, “Thermal Behaviour of Industrial Robots and Possibilities for Error Compensation,” CIRP Annals, Vol.46, No.1, pp. 283-286, 1997. https://doi.org/10.1016/S0007-8506(07)60826-9
  12. [12] P. Poonyapak and M. J. D. Hayes, “Towards a Predictive Model for Temperature-Induced Deformation of an Industrial Robot,” Proc. of the 1st European Conf. on Mechanism Science (EuCoMeS), 2006.
  13. [13] J. Santolaria, J.-A. Yagüe, R. Jiménez, and J.-J. Aguilar, “Calibration-Based Thermal Error Model for Articulated Arm Coordinate Measuring Machines,” Precision Engineering, Vol.33, No.4, pp. 476-485, 2009. https://doi.org/10.1016/j.precisioneng.2009.01.002
  14. [14] C. Gong, J. Yuan, and J. Ni, “Nongeometric Error Identification and Compensation for Robotic System by Inverse Calibration,” Int. J. of Machine Tools and Manufacture, Vol.40, No.14, pp. 2119-2137, 2000. https://doi.org/10.1016/S0890-6955(00)00023-7
  15. [15] S. Yin, Y. Guo, Y. Ren, J. Zhu, S. Yang, and S. Ye, “Real-Time Thermal Error Compensation Method for Robotic Visual Inspection System,” The Int. J. of Advanced Manufacturing Technology, Vol.75, No.5, pp. 933-946, 2014. https://doi.org/10.1007/s00170-014-6196-6
  16. [16] R. Li and Y. Zhao, “Dynamic Error Compensation for Industrial Robot Based on Thermal Effect Model,” Measurement, Vol.88, pp. 113-120, 2016. https://doi.org/10.1016/j.measurement.2016.02.038
  17. [17] N. A. Theissen, A. Mohammed, and A. Archenti, “Articulated Industrial Robots: An Approach to Thermal Compensation Based on Joint Power Consumption,” Laser Metrology and Machine Performance XIII (Proc. of the 13th LAMDAMAP Conf.), pp. 81-90, 2019.
  18. [18] ISO, “ISO 230-10:2022: Test Code for Machine Tools – Part 10: Determination of the Measuring Performance of Probing Systems of Numerically Controlled Machine Tools,” 2022.
  19. [19] Joint Committee for Guides in Metrology (JCGM), “JCGM 101:2008: Evaluation of Measurement Data – Supplement 1 to the ‘Guide to the Expression of Uncertainty in Measurement’ – Propagation of Distributions Using a Monte Carlo Method,” 2008.

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