Skip to main content
SpringerLink
Log in

Study on Process Monitoring of Elliptical Vibration Cutting by Utilizing Internal Data in Ultrasonic Elliptical Vibration Device

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

Abstract

In the present study, monitoring of elliptical vibration cutting process by utilizing internal data in the ultrasonic elliptical vibration device without external sensors such as a dynamometer and displacement sensor is investigated. The internal data utilized here is the change of excitation frequency, i.e. resonant frequency of the device, voltages applied to the piezoelectric actuators composing the device, and electric currents flowing through the actuators. These internal data change automatically in the elliptical vibration control system in order to keep a constant elliptical vibration against the change of the cutting process. Correlativity between the process and the internal data is described by using a vibration model of ultrasonic elliptical vibration cutting and verified by several experiments, i.e. planing and mirror surface finishing of hardened die steel carried out with single crystalline diamond tools. As a result, it is proved that it is possible to estimate the elements of elliptical vibration cutting process, e.g. tool wear and machining load, which are important for stable cutting in such precision machining.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Kang, H. S., Lee, J. Y., Choi, S., Kim, H., Park, J. H., et al., “Smart Manufacturing: Past Research, Present Findings, and Future Directions,” International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 3, No. 1, pp. 111–128, 2016.

    Article  Google Scholar 

  2. Park, S.-J., Lee, H.-S., and Jeong, H., “Signal Analysis of CMP Process Based on AE Monitoring System,” International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 2, No. 1, pp. 15–19, 2015.

    Article  Google Scholar 

  3. Chua, Z. Y., Ahn, I. H., and Moon, S. K., “Process Monitoring and Inspection Systems in Metal Additive Manufacturing: Status and Applications,” International Journal of Precision Engineering and Manufacturing-Green Technology, Vol. 4, No. 2, pp. 235–245, 2017.

    Article  Google Scholar 

  4. Delio, T., Tlusty, J., and Smith, S., “Use of Audio Signals for Chatter Detection and Control,” Journal of Engineering for Industry, Vol. 114, No. 2, pp. 146–157, 1992.

    Google Scholar 

  5. Smith, S. and Tlusty, J., “Stabilizing Chatter by Automatic Spindle Speed Regulation,” CIRP Annals-Manufacturing Technology, Vol. 41, No. 1, pp. 433–436, 1992.

    Article  Google Scholar 

  6. Altintas, Y., “Prediction of Cutting Forces and Tool Breakage in Milling from Feed Drive Current Measurements,” ASME Journal of Engineering for Industry, Vol. 114, No. 4, pp. 386–392, 1992.

    Article  Google Scholar 

  7. Stein, J. L. and Huh, K., “Monitoring Cutting Forces in Turning: A Model-Based Approach,” Journal of Manufacturing Science and Engineering, Vol. 124, No. 1, pp. 26–31, 2002.

    Article  Google Scholar 

  8. Kakinuma, Y. and Kamigochi, T., “External Sensor-Less Tool Contact Detection by Cutting Force Observer,” Procedia CIRP, Vol. 2, pp. 44–48, 2012.

    Article  Google Scholar 

  9. Jiang, C., Zhang, Y., and Xu, H., “In-Process Monitoring of Tool Wear Stage by the Frequency Band-Energy Method,” CIRP Annals-Manufacturing Technology, Vol. 36, No. 1, pp. 45–48, 1987.

    Article  Google Scholar 

  10. de Jesus, R.-T. R., Gilberto, H.-R., Ivan, T.-V., and Carlos, J.-C. J., “Driver Current Analysis for Sensorless Tool Breakage Monitoring of CNC Milling Machines,” International Journal of Machine Tools and Manufacture, Vol. 43, No. 15, pp. 1529–1534, 2003.

    Article  Google Scholar 

  11. Rivero, A., de Lacalle, L. L., and Penalva, M. L., “Tool Wear Detection in Dry High-Speed Milling Based Upon the Analysis of Machine Internal Signals,” Mechatronics, Vol. 18, No. 10, pp. 627–633, 2008.

    Article  Google Scholar 

  12. Jung, H., Shamoto, E., Chin, H., Anh, N. V., “Monitoring of Elliptical Vibration Cutting Process by Utilizing Internal Data in Ultrasonic Elliptical Vibration Device,” Proc. of Japan Society for Precision Engineering Spring Meeting, pp. 153–154, 2016.

    Google Scholar 

  13. Shamoto, E. and Moriwaki, T., “Study on Elliptical Vibration Cutting,” CIRP Annals-Manufacturing Technology, Vol. 43, No. 1, pp. 35–38, 1994.

    Article  Google Scholar 

  14. Shamoto, E., Suzuki, N., Moriwaki, T., and Naoi, Y., “Development of Ultrasonic Elliptical Vibration Controller for Elliptical Vibration Cutting,” CIRP Annals-Manufacturing Technology, Vol. 51, No. 1, pp. 327–330, 2002.

    Article  Google Scholar 

  15. Shamoto, E. and Moriwaki, T., “Ultaprecision Diamond Cutting of Hardened Steel by Applying Elliptical Vibration Cutting,” CIRP Annals-Manufacturing Technology, Vol. 48, No. 1, pp. 441–444, 1999.

    Article  Google Scholar 

  16. Jung, H., Shamoto, E., Ueyama, T., Hamada, S., and Xu, L., “Mirror Surface Finishing of Hardened Die Steel by High-Power Ultrasonic Elliptical Vibration Cutting,” Journal of Machine Engineering, Vol. 16, No. 1, pp. 5–14, 2016.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Aerospace Engineering, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi, 464 8603, Japan

    Hongjin Jung, Takehiro Hayasaka & Eiji Shamoto

Authors
  1. Hongjin Jung
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takehiro Hayasaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Eiji Shamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hongjin Jung.

Additional information

Hongjin Jung Designated assistant professor in the Department of Aerospace Engineering, Nagoya University. His research interests are in precision machining of difficult-to-cut materials and vibration-assisted cutting.

Takehiro Hayasaka Assistant professor in the Department of Aerospace Engineering, Nagoya University. His research interest is in metal cutting, especially chatter.

Eiji Shamoto Professor in the Department of Aerospace Engineering, Nagoya University. His research interests are in metal cutting and machine tool.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jung, H., Hayasaka, T. & Shamoto, E. Study on Process Monitoring of Elliptical Vibration Cutting by Utilizing Internal Data in Ultrasonic Elliptical Vibration Device. Int. J. of Precis. Eng. and Manuf.-Green Tech. 5, 571–581 (2018). https://doi.org/10.1007/s40684-018-0059-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40684-018-0059-9

Keywords

Search

Navigation