Skip to main content
Log in

Gantry type Lapping Manipulator toward Unmanned Lapping Process for a Large Work Surface

  • Regular Paper
  • Published:
International Journal of Precision Engineering and Manufacturing-Green Technology Aims and scope Submit manuscript

Abstract

This paper presents a developed manipulator and control method for automatic lapping process applied to a large work surface. A lapping machine consists of a newly designed parallelogram-type 5-axis manipulator and a conventional 3-axis gantry machine. The gantry machine is utilized to precision positioning over a large work area, and the manipulator is controlled by a separate controller for lapping operation in the local surface area which is provided by the CNC controller of gantry machine. The lapping process is, as a first step, needed to remove milling tool marks without injuring original shape, and then to correct the shape error. Wheel compliance becomes different in accordance with the special purpose such as tool mark removal and shape correction. Both processes require high stiffness of the manipulator. In this study, newly designed joints are adopted to secure the stiffness of the joints in both normal and lateral directions. Deadweight of manipulator including wheel motor as well as feed-forward torque control are adopted to suppress the vibration caused by abruptly dynamic cutting force. It was confirmed that the lapping operation was successful in wiping the curved contour without the structural vibration, and that the feed-forward torque control produces twice higher machining efficiency as well as 30% higher surface quality in comparison with the existing compliance control method. The experiment investigated the effects of the abrasive wheel compliance and the dynamic cutting force. In results, the smooth surface was achieved within a satisfied quality level of less than Rz 0.5 μm. It is considered that the proposed manipulator has great potential to be applied in unmanned lapping systems for a large work surface.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20

Similar content being viewed by others

References

  1. Chen, F., Zhao, H., Li, D., Chen, L., Tan, C., & Ding, H. (2019). Robotic grinding of a blisk with two degrees of freedom contact force control. International Journal of Advanced Manufacturing Technology, 101, 461–474.

    Article  Google Scholar 

  2. Hwang, Y., Kim, G. H., Kim, Y. B., Kim, J. H., & Lee, S. K. (2016). Suppression of the inflection pattern in ultraprecision grinding through the minimization of the hydrodynamic force using a toothed wheel. The International Journal of Machine Tools and Manufacture, 100, 105–115.

    Article  Google Scholar 

  3. Kharidege, A., Ting, D. T., & Yajun, Z. (2017). A practical approach for automated polishing system of free-form surface path generation based on industrial arm robot. International Journal of Advanced Manufacturing Technology, 93, 3921–3934.

    Article  Google Scholar 

  4. Ma, Z., Poo, A. N., Marcelo, H., Hong, G. S., & See, H. H. (2018). Design and control of an end-effector for industrial finishing applications. Robotics and Computer-Integrated Manufacturing, 53, 240–253.

    Article  Google Scholar 

  5. Mohammad, A. K., Hong, J., & Wang, D. (2018). Design of a force-controlled end-effector with low-inertia effect for robotic polishing using macro-mini robot approach. Robotics and Computer-Integrated Manufacturing, 49, 54–65.

    Article  Google Scholar 

  6. Tian, F., Lv, C., Li, Z., & Liu, G. (2016). Modeling and control of robotic automatic polishing for curved surfaces. CIRP Journal of Manufacturing Science and Technology, 14, 55–64.

    Article  Google Scholar 

  7. McDowell, T. W., Welcome, D. E., Warren, C., Xu, X. S., & Dong, R. G. (2016). The effect of a mechanical arm system on portable grinder vibration emissions. Annals of Occupational Hygiene, 60, 371–386.

    Article  Google Scholar 

  8. Yan, S., Xu, X., Yang, Z., Zhu, D., & Ding, H. (2019). An improved robotic abrasive belt grinding force model considering the effects of cut-in and cut-off. Journal of Manufacturing Processes, 37, 496–508.

    Article  Google Scholar 

  9. Liu, C. H., Chen, A., Chen, C. C. A., & Wang, Y. T. (2005). Grinding force control in an automatic surface finishing system. Journal of Materials Processing Technology, 170, 367–373.

    Article  Google Scholar 

  10. Shiou, F. J., & Hsu, C. C. (2008). Surface finishing of hardened and tempered stainless tool steel using sequential ball grinding, ball burnishing and ball polishing processes on a machining centre. Journal of Materials Processing Technology, 205, 249–258.

    Article  Google Scholar 

  11. Feng, D., Sun, Y., & Du, H. (2014). Investigations on the automatic precision polishing of curved surfaces using a five-axis machining centre. International Journal of Advanced Manufacturing Technology, 72, 1625–1637.

    Article  Google Scholar 

  12. Renders, J. M., Rossignol, E., Becquet, M., & Hanus, R. (1991). Kinematic calibration and geometrical parameter identification for robots. The IEEE Transactions on Robotics, 7, 721–732.

    Article  Google Scholar 

  13. Hollerbach, J. M., & Wampler, C. W. (1996). The calibration index and taxonomy for robot kinematic calibration methods. International Journal of Robotics Research, 15, 573–591.

    Article  Google Scholar 

  14. Gatla, C. S., Lumia, R., Wood, J., & Starr, G. (2007). An automated method to calibrate industrial robots using a virtual closed kinematic chain. The IEEE Transactions on Robotics, 23, 1105–1116.

    Article  Google Scholar 

  15. Ji, W., & Wang, L. (2019). Industrial robotic machining: A review. International Journal of Advanced Manufacturing Technology, 103, 1239–1255.

    Article  Google Scholar 

  16. Lai, C., Chavez, D., & Ding, S. (2018). Transformable parallel-serial manipulator for robotic machining. International Journal of Advanced Manufacturing Technology, 97, 2987–2996.

    Article  Google Scholar 

  17. Iglesias, I., Sebastian, M. A., & Ares, J. E. (2015). Overview of the state of robotic machining: Current situation and future potential. Procedia Engineering, 132, 911–917.

    Article  Google Scholar 

  18. Schneider, U., Momeni-K, M., Ansaloni, M., & Verl, A. (2014). Stiffness modeling of industrial robots for deformation compensation in machining. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014, 4464–4469.

    Article  Google Scholar 

  19. Kim, J. J., Park, S. K., & Lee, S. K. (2018). Design of manipulator for gantry-type finishing machine. EUSPEN 2018.

  20. Liao, L., Xi, F., & Liu, K. (2008). Modeling and control of automated polishing/deburring process using a dual-purpose compliant toolhead. International Journal of Machine Tools and Manufacture, 48, 1454–1463.

    Article  Google Scholar 

  21. Tsai, M. J., Huang, J. F., & Kao, W. L. (2009). Robotic polishing of precision molds with uniform material removal control. International Journal of Machine Tools and Manufacture, 49, 885–895.

    Article  Google Scholar 

  22. Evans, C. J., Paul, E., Dornfeld, D., Lucca, D. A., Byrne, G., Tricard, M., et al. (2003). Material removal mechanisms in lapping and polishing. CIRP Anaals, 52, 611–633.

    Article  Google Scholar 

  23. Doi, T.K., Ohnishi, O., Uhlmann, E., Dethlefs, A. (2015). Handbook of Ceramics Grinding and Polishing (Second Edition) Chapter 6 – Lapping and Polishing. William Andrew Publishing, pp. 263–325.

  24. Raibert, M. H., & Craig, J. J. (1981). Hybrid position/force control of manipulators. ASME Journal of Dynamic Systems, Measurement, and Control, 103, 126–133.

    Article  Google Scholar 

  25. Pagilla, P.R., Yu, B. (2001). Adaptive control of robotic surface finishing processes. Proceedings of the 2001 American Control Conference pp. 630–635.

  26. Grotjahn, M., & Heimann, B. (2002). Model-based feedforward control in industrial robotics. International Journal of Robotics Research, 21, 45–60.

    Article  Google Scholar 

  27. Sato, A., Shen, K., Minami, M., & Matsuno, T. (2017). Improvement of force-sensorless grinding accuracy with resistance compensation. Artificial Life and Robotics, 22, 509–514.

    Article  Google Scholar 

  28. Park, S. K., Koh, D. K., & Lee, S. K. (2019). Constrained motion control of a 5-axis manipulator for the finishing application. EUSPEN 2019.

  29. Jingfu, P., Ye, D., Gang, Z., & Han, D. (2019). An enhanced kinematic model for calibration of robotic machining systems with parallelogram mechanisms. Robotics and Computer-Integrated Manufacturing, 59, 92–103.

    Article  Google Scholar 

  30. Murray, R. M., Li, Z., & Sastry, S. S. (1994). A mathematical introduction to robotic manipulation. Boca Raton: CRC Press.

    MATH  Google Scholar 

  31. Duelen, G., & Schroer, K. (1991). Robot calibration—method and results. Robotics and Computer-Integrated Manufacturing, 8, 223–231.

    Article  Google Scholar 

  32. Wang, J., Zhang, H., & Fuhlbrigge, T. (2009). Improving machining accuracy with robot deformation compensation. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009, 3826–3831.

    Article  Google Scholar 

  33. Abele, E., Weigold, M., & Rothenbucher, S. (2007). Modeling and identification of an industrial robot for machining applications. CIRP Annals, 56, 387–390.

    Article  Google Scholar 

  34. Kazerooni, H. (1988). Automated robotic deburring using impedance control. IEEE Control Systems Magazine, 8, 21–25.

    Article  Google Scholar 

  35. Caccavale, F., & Chiacchio, P. (1994). Identification of dynamic parameters and feedforward control for a conventional industrial manipulator. Control Engineering Practice, 2, 1039–1050.

    Article  Google Scholar 

  36. Guo, J., Suzuki, H., Morita, S., Yamagata, Y., & Higuchi, T. (2013). A real-time polishing force control system for ultraprecision finishing of micro-optics. Precision Engineering, 37, 787–792.

    Article  Google Scholar 

  37. Mu, H. H., Zhou, Y. F., Wen, X., & Zhou, Y. H. (2009). Calibration and compensation of cogging effect in a permanent magnet linear motor. Mechatronics, 19, 577–585.

    Article  Google Scholar 

  38. Zhang, H., Ahmad, S., & Liu, G. (2015). Torque estimation for robotic joint with harmonic drive transmission based on position measurements. IEEE Transactions on Robotics, 31, 322–330.

    Article  Google Scholar 

  39. Ostring, M. (2002). Identification, diagnosis, and control of a flexible robot arm. Ph.D Thesis. University of Linkoping.

  40. Lee, H. S., Park, M. S., Kim, M. T., & Chu, C. N. (2006). Systematic finishing of dies and moulds. International Journal of Machine Tools and Manufacture, 46, 1027–1034.

    Article  Google Scholar 

  41. Kim, Y., Kim, J., & Lee, S. K. (2018). Investigation of surface uniformity machined by ceramic brush. International Journal of Advanced Manufacturing Technology, 94, 2593–2603.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Technology Innovation Program (10053248, Development of Manufacturing System for CFRP) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea), National Research Foundation of Korea (NRF) granted by the Korea government (MSIT) (Grant No. 2018R1D1A1B07049492), and Institute of Integrated Technology (IIT) Research Project through a grant provided by GIST in 2019.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sun-Kyu Lee.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, S., Koh, D., Shim, J. et al. Gantry type Lapping Manipulator toward Unmanned Lapping Process for a Large Work Surface. Int. J. of Precis. Eng. and Manuf.-Green Tech. 8, 1723–1737 (2021). https://doi.org/10.1007/s40684-020-00274-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40684-020-00274-8

Keywords

Navigation