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Improved closed-loop tracking interferometer measurement for a five-axis machine tool with a bi-rotary milling head

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Abstract

Tracking interferometer based on bi-rotary milling head is a novel scheme to conduct volumetric accuracy measurement of a five-axis machine tool. The laser beam direction of the interferometer can be regulated to follow the retroreflector by moving the bi-rotary head. This is a low-cost implementation of multilateration measurement, and its measurement accuracy is mainly affected by the error motion of the rotary axes. This paper proposes an improved multilateration principle to identify the position-independen geometric errors of rotary axis and laser beam, and minimize their impact on the measurement uncertainty. A closed-loop tracking interferometer system installed on the spindle is developed to perform the measurement with high tracking accuracy. The device can be installed on an ordinary five-axis machine tool without modifying the machine tool structure. The proposed scheme is conducive to improving the accuracy and practical application of the tracking interferometer based on bi-rotary milling head. Experiments with the corresponding closed-loop tracking interferometer and uncertainty analysis are conducted to verify the performance of the proposed measurement scheme.

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References

  1. Schwenke H, Knapp W, Haitjema H, et al. Geometric error measurement and compensation of machines—An update. CIRP Ann, 2008, 57: 660–675

    Article  Google Scholar 

  2. Zhu S, Ding G, Qin S, et al. Integrated geometric error modeling, identification and compensation of CNC machine tools. Int J Machine Tools Manufacture, 2012, 52: 24–29

    Article  Google Scholar 

  3. Wu J, Zhang B B, Wang L P, et al. An iterative learning method for realizing accurate dynamic feedforward control of an industrial hybrid robot. Sci China Tech Sci, 2021, 64: 1177–1188

    Article  Google Scholar 

  4. Lyu D, Liu Q, Liu H, et al. Dynamic error of CNC machine tools: A state-of-the-art review. Int J Adv Manuf Technol, 2020, 106: 1869–1891

    Article  Google Scholar 

  5. Wu J, Yu G, Gao Y, et al. Mechatronics modeling and vibration analysis of a 2-DOF parallel manipulator in a 5-DOF hybrid machine tool. Mechanism Machine Theor, 2018, 121: 430–445

    Article  Google Scholar 

  6. Wu J, Ye H, Yu G, et al. A novel dynamic evaluation method and its application to a 4-DOF parallel manipulator. Mechanism Machine Theor, 2022, 168: 104627

    Article  Google Scholar 

  7. ISO 230-1, Test code for machine tools—Part 1: Geometric accuracy of machines operating under no-load or quasi-static conditions. 2012

  8. Li Q, Wang W, Zhang J, et al. Measurement method for volumetric error of five-axis machine tool considering measurement point distribution and adaptive identification process. Int J Machine Tools Manufacture, 2019, 147: 103465

    Article  Google Scholar 

  9. Ibaraki S, Hata T. A new formulation of laser step diagonal measurement—Three-dimensional case. Precision Eng, 2010, 34: 516–525

    Article  Google Scholar 

  10. Bringmann B, Küng A, Knapp W. A measuring artefact for true 3D machine testing and calibration. CIRP Ann, 2005, 54: 471–474

    Article  Google Scholar 

  11. Zhong L, Bi Q, Wang Y. Volumetric accuracy evaluation for five-axis machine tools by modeling spherical deviation based on double ballbar kinematic test. Int J Machine Tools Manufacture, 2017, 122: 106–119

    Article  Google Scholar 

  12. Li J, Xie F, Liu X J, et al. A geometric error identification method for the swiveling axes of five-axis machine tools by static R-test. Int J Adv Manuf Technol, 2017, 89: 3393–3405

    Article  Google Scholar 

  13. Chen Y T, More P, Liu C S, et al. Identification and compensation of position-dependent geometric errors of rotary axes on five-axis machine tools by using a touch-trigger probe and three spheres. Int J Adv Manuf Technol, 2019, 102: 3077–3089

    Article  Google Scholar 

  14. Liu C S, Hsu H C, Lin Y X. Design of a six-degree-of-freedom geometric errors measurement system for a rotary axis of a machine tool. Optics Lasers Eng, 2020, 127: 105949

    Article  Google Scholar 

  15. Hexagon. Leica Absolute Tracker AT960 Product Brochure. 2016. https://pdf.directindustry.com/pdf/hexagon-manufacturing-intelligence/leica-absolute-tracker-at960-brochure/5623-584803.html

  16. Mutilba U, Yagüe-Fabra J A, Gomez-Acedo E, et al. Integrated multilateration for machine tool automatic verification. CIRP Ann, 2018, 67: 555–558

    Article  Google Scholar 

  17. Muralikrishnan B, Phillips S, Sawyer D. Laser trackers for large-scale dimensional metrology: A review. Precision Eng, 2016, 44: 13–28

    Article  Google Scholar 

  18. Zhao D, Bi Y, Ke Y. An efficient error compensation method for coordinated CNC five-axis machine tools. Int J Machine Tools Manufacture, 2017, 123: 105–115

    Article  Google Scholar 

  19. Wang J D, Guo J J. Research on volumetric error compensation for NC machine tool based on laser tracker measurement. Sci China Tech Sci, 2012, 55: 3000–3009

    Article  Google Scholar 

  20. Zhang G X, Li X H, Lin Y B, et al. A Study on the optimal design of laser-based multi-lateration systems. CIRP Ann, 2003, 52: 427–430

    Article  Google Scholar 

  21. Ibaraki S, Knapp W. Indirect measurement of volumetric accuracy for three-axis and five-axis machine tools: A review. Int J Automation Technol, 2012, 6: 110–124

    Article  Google Scholar 

  22. Wang H, Shao Z, Fan Z, et al. Configuration optimization of laser tracker stations for position measurement in error identification of heavy-duty machine tools. Meas Sci Technol, 2019, 30: 045009

    Article  Google Scholar 

  23. Schwenke H, Franke M, Hannaford J, et al. Error mapping of CMMs and machine tools by a single tracking interferometer. CIRP Ann, 2005, 54: 475–478

    Article  Google Scholar 

  24. Schwenke H, Schmitt R, Jatzkowski P, et al. On-the-fly calibration of linear and rotary axes of machine tools and CMMs using a tracking interferometer. CIRP Ann, 2009, 58: 477–480

    Article  Google Scholar 

  25. Egaña F, Yagüe-Fabra J A, Mutilba U, et al. Machine tool integrated inverse multilateration uncertainty assessment for the volumetric characterisation and the environmental thermal error study of large machine tools. CIRP Ann, 2021, 70: 435–438

    Article  Google Scholar 

  26. Kahle L, Loosd R, Mirbach H J, et al. Method for machine measurement. US Patent, 20110292404, 2011

  27. Ibaraki S, Tsuboi K. “Open-loop” tracking interferometer measurement using rotary axes of a five-axis machine tool. IEEE ASME Trans Mechatron, 2017, 22: 2342–2350

    Article  Google Scholar 

  28. Ibaraki S, Kudo T, Yano T, et al. Estimation of three-dimensional volumetric errors of machining centers by a tracking interferometer. Precision Eng, 2015, 39: 179–186

    Article  Google Scholar 

  29. ISO 230-7, Test code for machine tools—Part 7: Geometric accuracy of axes of rotation. 2015

  30. BIPM. Guide to the Expression of Uncertainty in Measurement. JCGM 100. Joint Committee for Guides in Metrology, 2008

  31. Bringmann B, Besuchet J P, Rohr L. Systematic evaluation of calibration methods. CIRP Ann, 2008, 57: 529–532

    Article  Google Scholar 

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Correspondence to QingZhen Bi.

Additional information

This work was supported by the National Natural Science Foundation of China (Grant No. 51875357), the State Key Program of National Natural Science Foundation of China (Grant No. U21B2081), and the National Defense Science and Technology Excellence Youth Foundation (Grant No. 2020-JCJQ-ZQ-079).

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Tang, X., Xu, K., Bi, Q. et al. Improved closed-loop tracking interferometer measurement for a five-axis machine tool with a bi-rotary milling head. Sci. China Technol. Sci. 65, 1127–1136 (2022). https://doi.org/10.1007/s11431-021-2001-7

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  • DOI: https://doi.org/10.1007/s11431-021-2001-7

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