Manufacturing Technology 2025, 25(5):670-677 | DOI: 10.21062/mft.2025.062

Fast and Cost-effective Calibration Method of Assembly Errors on Rotary Axes of Five-axis Machine Tools

Yongqiang Pan ORCID..., Yue Tang ORCID...
Aviation Equipment Manufacturing Industry College, Chengdu Aeronautic Polytechnic University, Chengdu, 610100, China

Five-axis machine tools are key equipment to process impellers, blades, and other precision mechanical parts. However, the accuracy of the machine tools is significantly influenced by assembly errors, and over time, these errors may change, further impacting the machining accuracy. Traditional laser interferometry technology can identify such assembly errors. The development of on-machine measurement technology has enabled methods that utilize on-machine measurement for assembly error calibration, improving calibration efficiency. The study introduces an efficient method to calibrate the assembly errors of machine tool rotary axes. First, the kinematic model for a machine tool is develop. Subsequently, utilizing on-machine measurement technology, the assembly errors of the rotary axes are calibrated, and the calibration uncertainty is analyzed. The results of the experiment confirm the validity of the calibration method. This method can be applied for periodic calibration of machine tool assembly errors, continuous monitoring variations in machine tool accuracy and ensuring the stability of machining quality.

Keywords: Assembly errors, Calibration, Machine tools, On-machine measurement
Grants and funding:

This research was funded by the Key Natural Science Research Project of Chengdu Aeronautic Polytechnic University in 2024 (ZZX0624087)

Received: May 5, 2025; Revised: October 24, 2025; Accepted: November 6, 2025; Prepublished online: November 20, 2025; Published: December 8, 2025  Show citation

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Pan Y, Tang Y. Fast and Cost-effective Calibration Method of Assembly Errors on Rotary Axes of Five-axis Machine Tools. Manufacturing Technology. 2025;25(5):670-677. doi: 10.21062/mft.2025.062.
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    References

    1. LI, J., XIE, F., LIU, X. J., et al. (2016). Geometric error identification and compensation of linear axes based on a novel 13-line method. In: Int J Adv Manuf Technol, Vol.87, pp. 2269-2283. ISSN 0268-3768 Go to original source...
    2. MATU, M., BECHNY, V., JOCH, R. (2024). Identification of Machine Tool Defects Using Laser Interferometer. In: Manufacturing Technology, Vol. 24, No. 3, pp. 420-428 Go to original source...
    3. LIU, L., LI W., CHEN, X. (2023). Exploration and Realization about Teaching Experimental of CNC Machine Tool Based on Virtual Simulation Technology. In: Manufacturing Technology, Vol. 23, No. 4, pp. 485-494 Go to original source...
    4. YIN, S., ZHOU, H., JU, X., LI, Z. (2022). Vision-based measurement for decoupling identification of geometric errors of rotating axes for five-axis platform. In: Meas Sci Technol, Vol.33, pp.045007. ISSN 0957-0233 Go to original source...
    5. LI, H., ZHANG, P., DENG, M., et al. (2020). Volumetric error measurement and compensation of three-axis machine tools based on laser bidirectional sequential step diagonal measuring method. In: Meas Sci Technol, Vol.31, pp.055201. ISSN 0957-0233 Go to original source...
    6. LASEMI, A., XUE, D., GU, P. (2016). Accurate identification and compensation of geometric errors of 5-axis CNC machine tools using double ball bar. In: Meas Sci Technol, Vol.27, pp.055004. ISSN 0957-0233 Go to original source...
    7. ZHANG, L., CHENG, L., LI, J., KE, Y. (2023). Kinematic modeling and error parameter identification of automated fiber placement machine based on measured data. In: Proc Inst Mech Eng Part B J Eng Manuf, Vol.237, pp.588-600. ISSN 0954-4054 Go to original source...
    8. XIANG, S., YANG, J., ZHANG, Y. (2014). Using a double ball bar to identify position-independent geometric errors on the rotary axes of five-axis machine tools. In: Int J Adv Manuf Technol, Vol.70, pp.2071-2082. ISSN 0268-3768 Go to original source...
    9. HONG, C., IBARAKI, S. (2012). Non-contact R-test with laser displacement sensors for error calibration of five-axis machine tools. In: Precis Eng, Vol.37, pp.159-171. ISSN 0141-6359 Go to original source...
    10. SALAMACHA, D., JOZWIK, J. (2023). Evaluation of Measurement Uncertainty Obtained With a Tool Probe on a CNC Machine Tool. In: Manufacturing Technology, Vol. 23, No. 4, pp. 513-524 Go to original source...
    11. ZHANG, H., XIANG, S., LIU, C. (2022). Reverse identification of dynamic and static motion errors for five-axis machine based on specimen feature decomposition. In:ISA Trans, Vol.134, pp.302-311. ISSN 0019-0578 Go to original source...
    12. DENG, M., LI, H., XIANG, S. (2020). Geometric errors identification considering rigid-body motion constraint for rotary axis of multi-axis machine tool using a tracking interferometer. In: Int J Mach Tools Manuf, Vol.158, pp.103625. ISSN 0890-6955 Go to original source...
    13. IBARAKI, S., YUASA, K., SAITO, N., KOJIMA, N. (2018). A Framework for a Large-Scale Machine Tool With Long Coarse Linear Axes Under Closed-Loop Volumetric Error Compensation. In: IEEEASME Trans Mechatron, Vol.23, pp.823-832. ISSN 1083-4435 Go to original source...
    14. WANG, J., GUO, J. (2016). Geometric error identification algorithm of numerical control machine tool using a laser tracker. In: Proc Inst Mech Eng Part B J Eng Manuf, Vol.230, pp.2004-2015. ISSN 0954-4054 Go to original source...
    15. ZHAO, Z., HUANG, N., ZHONG, L. (2023). On-machine measurement of thermal influence of the long-span crossbeam of gantry machine tools using a 3D laser profiler. In: Precis Eng, Vol.82, pp.52-61. ISSN 0141-6359 Go to original source...
    16. YANG, H., HUANG, X., DING, S. (2018). Identification and compensation of 11 position-independent geometric errors on five-axis machine tools with a tilting head. In: Int J Adv Manuf Technol, Vol.94, pp.533-544. ISSN 0268-3768 Go to original source...
    17. MARTINEZ-AGUIRRE, M., GOMEZ, G., BO, P. (2024). Design, motion-planning, and manufacturing of custom-shaped tools for five-axis super abrasive machining of a turbomachinery blade type component. In: Int J Adv Manuf Technol, Vol.133, pp.655-669. ISSN 0268-3768 Go to original source...

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