Skip to main content
Log in

Monitoring of hard turning using acoustic emission signal

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

Monitoring of tool wear during hard turning is essential. Many investigators have analyzed the acoustic emission (AE) signals generated during machining to understand the metal cutting process and for monitoring tool wear and failure. In the current study on hard turning, the skew and kurtosis parameters of the root mean square values of AE signal (AERMS) are used to monitor tool wear. The rubbing between the tool and the workpiece increases as the tool wear crosses a threshold, thereby shifting the mass of AERMS distribution to right, leading to a negative skew. The increased rubbing also led to a high kurtosis value in the AERMS distribution curve.

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.

Institutional subscriptions

Similar content being viewed by others

References

  1. H. K. Tonshoff, C. Arendt and R. Ben Amor, Cutting of hardened steel, Key note paper, Annals of CIRP, 49 (2000) 547–566.

    Article  Google Scholar 

  2. T. Ozel, T. Hsu and E. Zeren, Effect of cutting edge geometry, hardness, feed rate and cutting speed on surface roughness and force in finish turning of Hardened AISI H13 steel, International Journal of Advanced Manufacturing Technology, 25 (2005) 262–269.

    Article  Google Scholar 

  3. T. Ozel and Y. Karpat, Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks, International Journal of Machine Tool and Manufacture, 45 (2005) 469–479.

    Google Scholar 

  4. D. I. Lalwani, N. K. Mehta and P. K. Jain, Experimental investigation of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel, Journal of Material Processing Technology, 206 (2008) 167–179.

    Article  Google Scholar 

  5. T. R. Coelho, E. Ng and M. A. Elbestawi, Tool wear when turning hardened AISI 4340 with coated PCBN tools using finishing cutting conditions, International Journal of Machine Tools and Manufacture, 47 (2007) 263–272.

    Article  Google Scholar 

  6. M. C. Shaw and A. Vyas, Chip formation in the machining of hardened Steel, Annals of CIRP, 42 (1993) 29–33.

    Article  Google Scholar 

  7. M. A. Davies, T. J. Burns and C. J. Evans, On the dynamics of chip formation in machining of hard metals, Annals of CIRP, 46 (1997) 25–30.

    Article  Google Scholar 

  8. Y. K. Chou, C. J. Evans, Tool wear mechanism in continuous cutting of hardened tool steel, Wear, 212 (1997) 59–65.

    Article  Google Scholar 

  9. M. L. Penalva, M. Arizmendi, F. Diaz and J. Fernadez, Effect of tool wear on roughness in hard turning, Annals of CIRP, 51 (2002) 57–60.

    Article  Google Scholar 

  10. Y. Jang, Y. Choi, H. Kim and Alex Hsiao, Study of the correlation between surface roughness and vibration to develop on-line roughness measuring technique in hard turning, International Journal of Machine Tools and Manufacture, 36 (1996) 453–464.

    Article  Google Scholar 

  11. M. M. W. Knuefermann and P. A. McKeown, A model for surface roughness in ultraprecision hard turning, Annals of CIRP, 53 (2004) 99–102.

    Article  Google Scholar 

  12. C. F. Cheung and W. B. Lee, A theoretical and experimental investigation of surface roughness formation in ultraprecision diamond turning, International Journal of Machine Tools and Manufacture, 40 (2000) 979–1002.

    Article  Google Scholar 

  13. C. Scheffer, H. Kratz, P. S. Heyns and F. Klocke, Development of a tool wear-monitoring system for hard turning, International Journal of Machine Tool and Manufacture, 43 (2003) 973–985.

    Article  Google Scholar 

  14. D. Dornfeld, Application of acoustic emission techniques in manufacturing, NDT&E International, 25 (1992) 259–269.

    Article  Google Scholar 

  15. F. A. Farrelly, A. Petri, L. Pitolli, G. Pontuale, A. Tangliani and P. L. Novi Inverardi, Statistical properties of acoustic emission signals from metal cutting process, Acoustical Society of America (2004) 981–986.

  16. E. K. Asibu Jr., and D. A. Dornfeld, A study of tool wear using statistical analysis of metalcutting, Acoustic Emission, Wear, 76 (1982) 247–261.

    Article  Google Scholar 

  17. X. Li, A brief review: acoustic method for tool wear monitoring during turning, International Journal of Machine Tool and Manufacture, 42 (2002) 157–165.

    Article  Google Scholar 

  18. R. Teti and G. F. Micheletti, Tool wear monitoring through Acoustic emission, Annals of CIRP, 38 (1989) 99–102.

    Article  Google Scholar 

  19. D. A. Dornfeld and E. K. Asibu, Acoustic emission during orthogonal metal cutting, International Journal of Mechanical Science, 22 (1980) 285–296.

    Article  Google Scholar 

  20. R. Teti, K. Jemielnaik, G. O. Donnell and D. Dornfeld, Advanced monitoring machining operations, Annals of CIRP, 59 (2010) 717–739.

    Article  Google Scholar 

  21. J. M. Zhou, M. Andersson, J. E. Stahl, The monitoring of flank wear on the CBN tool in the hard turning, International Journal of Advanced Manufacturing Technology (2003) 22: 697–702.

    Article  Google Scholar 

  22. D. Shi and N. N. Gindy, Development of an online machining Process monitoring system: application in hard turning, Sensor and Actuator, 135 (2007) 405–415.

    Article  Google Scholar 

  23. M. Remadna and J. F. Rigal, Evolution during time of tool wear and cutting forces in the case of hard turning with CBN insets, Journal of Material processing Technology, 178 (2006) 67–75.

    Article  Google Scholar 

  24. Y. B Guo, S. C. Ammula, Real-time acoustic emission monitoring for surface damage in hard machining, International Journal of Machine Tools and Manufacture, 45 (2005) 1622–1627.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Bhaskaran.

Additional information

This paper was recommended for publication in revised form by Associate Editor Song Min Yoo

J. Bhaskaran is currently an Associate Professor in the Department of Mechanical Engineering, B. S. Abdur Rahman University, Chennai, India. Currently, he is preparing for his Ph.D under the research topic “Process monitoring in hard turning.” His area of teaching and research includes metal cutting, metrology, and machine tools.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bhaskaran, J., Murugan, M., Balashanmugam, N. et al. Monitoring of hard turning using acoustic emission signal. J Mech Sci Technol 26, 609–615 (2012). https://doi.org/10.1007/s12206-011-1036-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-011-1036-1

Keywords

Navigation