Skip to main content
Log in

Geometric error modeling and compensation for five-axis CNC gear profile grinding machine tools

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The relative position and orientation deviation between grinding wheel and workpiece caused by geometric errors affect the machining accuracy of five-axis CNC gear profile grinding machine tools directly. Therefore, geometric error modeling and compensation are presented according to homogeneous transformation and differential motion matrix based on the multi-body system theory for the accuracy enhancement of the machine tools. Firstly, the open kinematic chain and the ideal homogeneous transformation matrix from workpiece to grinding wheel are established according to the topological structure of the CFXZAY-type, five-axis gear profile grinding machine tools and the basic homogeneous transformation matrix between coordinate frames. Secondly, the homogenous transformation matrices of linear pairs and rotary pairs with geometric errors are calculated, and the relationships of the error propagation from workpiece to grinding wheel are acquired as well on the basis of 37 geometric error components analysis. The geometric error models including position and orientation errors of grinding wheel in workpiece coordinate system are obtained with matrix multiplication by using small-angle approximation and ignoring the second-order and high-order error terms. Then, the Jacobian is obtained by using transforming differential motion matrix of each motion axis to compensate the integrated error components of the grinding wheel, which can make the compensation effective and convenient with using the corresponding homogeneous transformation matrix. Finally, error measurement, error compensation, and machining experiments are carried out on a five-axis CNC gear profile grinding machine tool SKMC-1200W/10 to verify the applicability and effectiveness of the proposed error modeling, error compensation, and research approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Shen H, Fu J, He Y, Yao X (2012) On-line asynchronous compensation methods for static/quasi-static error implemented on CNC machine tools. Int J Mach Tools Manuf 60:14–26

    Article  Google Scholar 

  2. Fu GQ, Fu JZ, Xu YT, Chen ZC, Lai JT (2015) Accuracy enhancement of five-axis machine tool based on differential motion matrix: geometric error modeling, identification and compensation. Int J Mach Tools Manuf 89:170–181

    Article  Google Scholar 

  3. Zhao Y, Li TM, Tan XQ (2011) Geometric error modeling of machine tools based on screw theory. Procedia Eng 24:845–849

    Article  Google Scholar 

  4. He RB, Zhao YJ, Yang SN, Yang SZ (2010) Kinematic-parameter identification for serial-robot calibration based on POE formula. IEEE Trans Robot 26(3):411–423

    Article  Google Scholar 

  5. Fu GQ, Fu JZ, Xu YT, Chen ZC (2014) Product of exponential model for geometric error integration of multi-axis machine tools. Int J Adv Manuf Technol 71(9–12):1653–1667

    Article  Google Scholar 

  6. Chen JX, Lin SW, He BW (2014) Geometric error compensation for multi-axis CNC machines based on differential transformation. Int J Adv Manuf Technol 71(1–4):635–642

    Article  Google Scholar 

  7. Lin Y, Shen Y (2003) Modelling of five-axis machine tool metrology models using the matrix summation approach. Int J Adv Manuf Technol 21(4):243–248

    Article  Google Scholar 

  8. Fan KG, Yang JG, Yang LY (2013) Orthogonal polynomials-based thermally induced spindle and geometric error modeling and compensation. Int J Adv Manuf Technol 65(9–12):1791–1800

    Article  Google Scholar 

  9. Lamikiz A, López De Lacalle LN, Ocerin O, Díez D, Maidagan E (2008) The Denavit and Hartenberg approach applied to evaluate the consequences in the tool tip position of geometrical errors in five-axis milling centres. Int J Adv Manuf Technol 37(1–2):122–139

    Article  Google Scholar 

  10. Kong LB, Cheung CF (2012) Prediction of surface generation in ultra-precision raster milling of optical freeform surfaces using an integrated kinematics error model. Adv Eng Softw 45(1):124–136

    Article  Google Scholar 

  11. Okafor AC, Ertekin YM (2000) Derivation of machine tool error models and error compensation procedure for three axes vertical machining center using rigid body kinematics. Int J Mach Tools Manuf 40(8):1199–1213

    Article  Google Scholar 

  12. Jung JH, Choi JP, Lee SJ (2006) Machining accuracy enhancement by compensating for volumetric errors of a machine tool and on-machine measurement. J Mater Process Technol 174(1–3):56–66

    Article  Google Scholar 

  13. Chen GD, Liang YC, Sun YZ, Chen WQ, Wang B (2013) Volumetric error modeling and sensitivity analysis for designing a five-axis ultra-precision machine tool. Int J Adv Manuf Technol 68(9–12):2525–2534

    Article  Google Scholar 

  14. 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(1):24–29

    Article  Google Scholar 

  15. Lei WT, Hsu YY (2003) Accuracy enhancement of five-axis CNC machines through real-time error compensation. Int J Mach Tools Manuf 43(9):871–877

    Article  Google Scholar 

  16. Huang ND, Jin YQ, Bi QZ, Wang YH (2015) Integrated post-processor for 5-axis machine tools with geometric errors compensation. Int J Mach Tools Manuf 94:65–73

    Article  Google Scholar 

  17. Ahn KG, Min BK, Pasek ZJ (2006) Modeling and compensation of geometric errors in simultaneous cutting using a multi-spindle machine tool. Int J Adv Manuf Technol 29(9–10):929–939

    Article  Google Scholar 

  18. Khan AW, Chen WY (2011) A methodology for systematic geometric error compensation in five-axis machine tools. Int J Adv Manuf Technol 53(5–8):615–628

    Article  Google Scholar 

  19. Nojedeh V, Habibi M, Arezoo B (2011) Tool path accuracy enhancement through geometrical error compensation. Int J Mach Tools Manuf 51(6):439–449

    Article  Google Scholar 

  20. Cui GW, Lu Y, Li JG, Gao D, Yao YX (2012) Geometric error compensation software system for CNC machine tools based on NC program reconstructing. Int J Adv Manuf Technol 63(1–4):169–180

    Article  Google Scholar 

  21. Peng FY, Ma JY, Wang W, Duan XY, Sun PP, Yan R (2013) Total differential methods based universal post processing algorithm considering geometric error for multi-axis NC machine tool. Int J Mach Tools Manuf 70:53–62

    Article  Google Scholar 

  22. Chandra A, Bastawros AF, Yu TY, Asplund DT (2016) Chemical mechanical paired grinding I: a tool for multi-wavelength planarization. Int J Mach Tools Manuf. doi:10.1007/s00170-016-9085-3

    Google Scholar 

  23. Craig JJ (2005) Introduction to robotics: mechanics and control, Pearson Education, Incorporated

  24. Liu YW, Liu LB, Zhao XS, Zhang Q, Wang SX (1998) Investigation of error compensation technology for NC machine tool, China. Mech Eng 12(9):48–51

    Google Scholar 

  25. ISO 1328-1:2013 (2013) Cylindrical gears—ISO system of accuracy—part 1: definitions and allowable values of deviations relevant to corresponding flanks of gear teeth, Switzerland: TC 60

  26. Fan JW, Guan JL, Wang WC, Luo Q, Zhang XL, Wang LY (2002) A universal modeling method for enhancement the volumetric accuracy of CNC machine tools. J Mater Process Technol 129(1–3):624–628

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shilong Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhou, B., Wang, S., Fang, C. et al. Geometric error modeling and compensation for five-axis CNC gear profile grinding machine tools. Int J Adv Manuf Technol 92, 2639–2652 (2017). https://doi.org/10.1007/s00170-017-0244-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-017-0244-y

Keywords

Navigation