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Single-axis driven measurement method to identify position-dependent geometric errors of a rotary table using double ball bar

  • Shuang DingEmail author
  • Weiwei Wu
  • Xiaodiao Huang
  • Aiping Song
  • Yifu Zhang
ORIGINAL ARTICLE
  • 27 Downloads

Abstract

With the development of error compensation technology, reliability and stability of error identification deserve much attention. And rotary axis errors of five-axis machine tool are the main error sources which result in machining inaccuracy. Hence, a new method for position-dependent geometric error (PDGE) identification of a rotary table using double ball bar was proposed in this paper. Especially, only the targeted rotary table was driven during the ball bar test, which can reduce the impact of interference error sources. During the measurement, the ball on the spindle holds still, and the ball on the rotary table rotates around the rotation axis. There are three mounting positions of magnetic socket on the rotary table. Total six measurement procedures of cone test are executed to obtain enough measuring results by setting different positions of magnetic socket ball. These measuring results are used to construct the identification model based on homogeneous transformation matrix (HTM). The impact of installation errors of the double ball bar on identified results was analyzed. The uncertainty of identified errors could be reduced with the single-axis driven and the installation parameter optimization. At last, testing experiments on a five-axis machine tool were conducted to verify the proposed method. The results confirm that the method is an effective way to identify PDGEs of a rotary axis, and the accuracy of identified results is improved.

Keywords

Geometric error identification Double ball bar Rotary axis Five-axis machine tool 

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Notes

Funding information

This work is supported by the National Natural Science Foundation of China (Grant no. 51635003) and is funded by the Research Fund of DMIECT (Grant no. DM201701).

References

  1. 1.
    Moriwaki T (2008) Multi-functional machine tool. CIRP Ann Manuf Technol 57(2):736–749CrossRefGoogle Scholar
  2. 2.
    Zhang Y, Yang JG, Zhang K (2013) Geometric error measurement and compensation for the rotary table of five-axis machine tool with double ballbar. Int J Adv Manuf Technol 65:275–281CrossRefGoogle Scholar
  3. 3.
    Wang JD, Guo JJ, Zhou BQ, Xiao J (2012) The detection of rotary axis of NC machine tool based on multi-station and time-sharing measurement. Measurement 45:1713–1722CrossRefGoogle Scholar
  4. 4.
    Zhang ZJ, Ren MJ, Liu MJ, Wu XM, Chen YB (2015) A modified sequential multilateration scheme and its application in geometric error measurement of rotary axis. Procedia CIRP 27:313–317CrossRefGoogle Scholar
  5. 5.
    Jiang ZX, Song B, Zhou XD, Tang XQ, Zheng SQ (2015) Single setup identification of component errors for rotary axes on five-axis machine tools based on pre-layout of target points and shift of measuring reference. Int J Mach Tools Manuf 98:1–11CrossRefGoogle Scholar
  6. 6.
    Ibaraki S, Ota Y (2014) A machining test to calibrate rotary axis error motions of five-axis machine tools and its application to thermal deformation test. Int J Mach Tools Manuf 86:81–88CrossRefGoogle Scholar
  7. 7.
    Ibaraki S, Iritani T, Matsushita T (2012) Calibration of location errors of rotary axes on five-axis machine tools by on-the-machine measurement using a touch-trigger probe. Int J Mach Tools Manuf 58:44–53CrossRefGoogle Scholar
  8. 8.
    Huang ND, Zhang SK, Bi QZ, Wang YH (2016) Identification of geometric errors of rotary axes on 5-axis machine tools by on-machine measurement. Int J Adv Manuf Technol 84(1–4):505–512CrossRefGoogle Scholar
  9. 9.
    Ibaraki S, Iritani T, Matsushita T (2013) Error map construction for rotary axes on five-axis machine tools by on-the-machine measurement using a touch-trigger probe. Int J Mach Tools Manuf 68:21–29CrossRefGoogle Scholar
  10. 10.
    He ZY, Fu JZ, Zhang LC, Yao XH (2015) A new error measurement method to identify all six error parameters of a rotational axis of a machine tool. Int J Mach Tools Manuf 88:1–8CrossRefGoogle Scholar
  11. 11.
    Ibaraki S, Oyama C, Otsubo H (2011) Construction of an error map of rotary axes on a five-axis machining center by static R-test. Int J Mach Tools Manuf 51:190–200CrossRefGoogle Scholar
  12. 12.
    Hong CF, Ibaraki S, Oyama C (2012) Graphical presentation of error motions of rotary axes on a five-axis machine tool by static R-test with separating the influence of squareness errors of linear axes. Int J Mach Tools Manuf 59:24–33CrossRefGoogle Scholar
  13. 13.
    Lau K, Ma Q, Chu X, Liu Y, Olson S (1999) An advanced 6-degree-of-freedom laser system for quick CNC machine and CMM error mapping and compensation. WIT Trans Eng Sci 23:421–434Google Scholar
  14. 14.
    Chen DJ, Dong LH, Bian YH, Fan JW (2015) Prediction and identification of rotary axes error of non-orthogonal five-axis machine tool. Int J Mach Tools Manuf 94:74–87CrossRefGoogle Scholar
  15. 15.
    Xiang ST, Yang JG, Zhang Y (2014) Using a double ball bar to identify position-independent geometric errors on the rotary axes of five-axis machine tools. Int J Adv Manuf Technol 70:2071–2082CrossRefGoogle Scholar
  16. 16.
    Zargarbashi SHH, Mayer JRR (2006) Assessment of machine tool trunnion axis motion error, using magnetic double ball bar. Int J Mach Tools Manuf 46:1823–1834CrossRefGoogle Scholar
  17. 17.
    Lei WT, Sung MP, Liu WL, Chuang YC (2007) Double ballbar test for the rotary axes of five-axis CNC machine tools. Int J Mach Tools Manuf 47:273–285CrossRefGoogle Scholar
  18. 18.
    Lee KI, Yang SH (2013) Accuracy evaluation of machine tools by modeling spherical deviation based on double ball-bar measurements. Int J Mach Tools Manuf 75:46–54CrossRefGoogle Scholar
  19. 19.
    Tsutsumi M, Saito A (2004) Identification of angular and positional deviations inherent to 5-axis machining centers with a tilting-rotary table by simultaneous four-axis control movements. Int J Mach Tools Manuf 44:1333–1342CrossRefGoogle Scholar
  20. 20.
    Zhu SW, Ding GF, Qin SF, Lei J, Zhuang L, Yan KY (2012) Integrated geometric error modeling, identification and compensation of CNC machine tools. Int J Mach Tools Manuf 52:24–29CrossRefGoogle Scholar
  21. 21.
    Chen JX, Lin SW, He BW (2014) Geometric error measurement and identification for rotary table of multi-axis machine tool using double ballbar. Int J Mach Tools Manuf 77:47–55CrossRefGoogle Scholar
  22. 22.
    Chen JX, Lin SW, Zhou XL, Gu TQ (2016) A ballbar test for measurement and identification the comprehensive error of tilt table. Int J Mach Tools Manuf 103:1–12CrossRefGoogle Scholar
  23. 23.
    Jiang XG, Cripps RJ (2015) A method of testing position independent geometric errors in rotary axes of a five-axis machine tool using a double ball bar. Int J Mach Tools Manuf 89:151–158CrossRefGoogle Scholar
  24. 24.
    Lee KI, Yang SH (2013) Robust measurement method and uncertainty analysis for position-independent geometric errors of a rotary axis using a double ball-bar. Int J Precis Eng Manuf 14(2):231–239CrossRefGoogle Scholar
  25. 25.
    Lee KI, Yang SH (2013) Measurement and verification of position-independent geometric errors of a five-axis machine tool using a double ball-bar. Int J Mach Tools Manuf 70:45–52CrossRefGoogle Scholar
  26. 26.
    Xiang ST, Yang JG (2014) Using a double ball bar to measure 10 position-dependent geometric errors for rotary axes on five-axis machine tools. Int J Adv Manuf Technol 75:559–572CrossRefGoogle Scholar
  27. 27.
    Ding S, Huang XD, Yu CJ, Liu XY (2016) Identification of different geometric error models and definitions for the rotary axis of five-axis machine tools. Int J Mach Tools Manuf 100:1–6CrossRefGoogle Scholar
  28. 28.
    Golub GH, VanLoan CF (2012) Matrix computations, 4th edn. Johns Hopkins University Press, MarylandGoogle Scholar
  29. 29.
    Ding S, Huang XD, Yu CJ, Liu XY (2016) Novel method for position-independent geometric error compensation of five-axis orthogonal machine tool based on error motion. Int J Adv Manuf Technol 83(5):1069–1078CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Shuang Ding
    • 1
    Email author
  • Weiwei Wu
    • 1
  • Xiaodiao Huang
    • 2
  • Aiping Song
    • 1
  • Yifu Zhang
    • 1
  1. 1.College of Mechanical EngineeringYangzhou UniversityYangzhouPeople’s Republic of China
  2. 2.School of Mechanical and Power EngineeringNanjing TECH UniversityNanjingPeople’s Republic of China

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