Advertisement

A Novel On-Machine Measurement Method Based on the Force Controlled Touch Probe

  • Hao Li
  • Huan ZhaoEmail author
  • Han Ding
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10984)

Abstract

For free form surfaces such as blades, their measurement accuracy and efficiency depend on the planning strategy of discrete sampling points and the compensation precision of probe tip error. However, the force information is not considered in the traditional adaptive sampling and error compensation methods, which may affect the measurement efficiency and accuracy. In this paper, a novel force controlled touch probe for on-machine measurement system with a 5-DOF force/moment sensor is proposed. According to the projection of the force on cross section of blade, the proposed adaptive sampling algorithm can automatically select measuring points. Meanwhile, the direction of measuring force is used to estimate the compensation direction for probe tip error. The experiments are conducted on the on-machine measurement system, and the results demonstrate that the proposed methods are effective, which can provide important reference value for free-form surface measurement.

Keywords

Force controlled touch probe On-machine measurement Adaptive sampling algorithm Measurement error compensation 

Notes

Acknowledgement

This work was supported by the National Key Research and Development Program of China under Grant No. 2017YFB1303401.

References

  1. 1.
    Eldessouky, H., Newman, S., Nassehi, A.: Closed loop CNC machining and inspection of interlinked manufacturing features for “Right First Time” production. In: 25th International Conference of Flexible Automation Integrated FAIM 2015. University of Bath (2015)Google Scholar
  2. 2.
    Kim, K.D., Chung, S.C.: Accuracy improvement of the On-Machine inspection system by correction of geometric and transient thermal errors. Technical Papers-Society of Manufacturing Engineers-All Series- (2003)Google Scholar
  3. 3.
    Jung, J.H., Choi, J.P., Lee, S.J.: 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 (2006)CrossRefGoogle Scholar
  4. 4.
    Huang, N., Bi, Q., Wang, Y., Sun, C.: 5-axis adaptive flank milling of flexible thin-walled parts based on the on-machine measurement. Int. J. Mach. Tools Manuf. 84, 1–8 (2014)CrossRefGoogle Scholar
  5. 5.
    Ibaraki, S., Iritani, T., Matsushita, T.: 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, 44–53 (2012)CrossRefGoogle Scholar
  6. 6.
    Choi, J.P., Min, B.K., Lee, S.J.: Reduction of machining errors of a three-axis machine tool by on-machine measurement and error compensation system. J. Mater. Process. Technol. 155, 2056–2064 (2004)CrossRefGoogle Scholar
  7. 7.
    Mansour, G.: A developed algorithm for simulation of blades to reduce the measurement points and time on coordinate measuring machine (CMM). Measurement 54, 51–57 (2014)CrossRefGoogle Scholar
  8. 8.
    Obeidat, S.M., Raman, S.: An intelligent sampling method for inspecting free-form surfaces. Int. J. Adv. Manuf. Technol. 40(11–12), 1125–1136 (2009)CrossRefGoogle Scholar
  9. 9.
    He, G., Sang, Y., Pang, K., Sun, G.: An improved adaptive sampling strategy for freeform surface inspection on CMM. Int. J. Adv. Manuf. Technol. 96, 1521–1535 (2018)CrossRefGoogle Scholar
  10. 10.
    Jiang, R.S., Wang, W.H., Zhang, D.H., Wang, Z.Q.: A practical sampling method for profile measurement of complex blades. Measurement 81, 57–65 (2016)CrossRefGoogle Scholar
  11. 11.
    Wozniak, A., Mayer, J.R.R.: A robust method for probe tip radius correction in coordinate metrology. Meas. Sci. Technol. 23(2), 025001 (2011)CrossRefGoogle Scholar
  12. 12.
    Lai, J., Fu, J., Wang, Y., Shen, H., Xu, Y., Chen, Z.: A novel method of efficient machining error compensation based on NURBS surface control points reconstruction. Mach. Sci. Technol. 19(3), 499–513 (2015)CrossRefGoogle Scholar
  13. 13.
    Cho, M.W., Seo, T.I.: Inspection planning strategy for the on-machine measurement process based on CAD/CAM/CAI integration. Int. J. Adv. Manuf. Technol. 19(8), 607–617 (2002)CrossRefGoogle Scholar
  14. 14.
    He, G., Huang, X., Ma, W., Sang, Y., Yu, G.: CAD-based measurement planning strategy of complex surface for five axes on machine verification. Int. J. Adv. Manuf. Technol. 91(5–8), 2101–2111 (2017)CrossRefGoogle Scholar
  15. 15.
    Han, D.Y.L.D.Z., Juan, W.W.W.: CAD model-based intelligent inspection planning for coordinate measuring machines. Chin. J. Mech. Eng. 24(4), 1 (2011)Google Scholar
  16. 16.
    Park, J.J., Kwon, K., Cho, N.: Development of a coordinate measuring machine (CMM) touch probe using a multi-axis force sensor. Meas. Sci. Technol. 17(9), 2380 (2006)CrossRefGoogle Scholar
  17. 17.
    Liang, Q., Zhang, D., Wang, Y., Ge, Y.: Development of a touch probe based on five-dimensional force/torque transducer for coordinate measuring machine (CMM). Robot. Comput. Integr. Manuf. 28(2), 238–244 (2012)CrossRefGoogle Scholar
  18. 18.
    Lee, M., Cho, N.G.: Probing-error compensation using 5 degree of freedom force/moment sensor for coordinate measuring machine. Meas. Sci. Technol. 24(9), 095001 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.State Key Laboratory of Digital Manufacturing Equipment and TechnologyHuazhong University of Science and TechnologyWuhanPeople’s Republic of China

Personalised recommendations