Skip to main content
Log in

Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation

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

Abstract

A tool wear monitoring system is indispensable for better machining productivity, with the guarantee of machining safety by informing of the time due for changing a tool in automated and unmanned CNC machining. Different from monitoring methods using other signals, the monitoring of the spindle current has been used without requiring additional sensors on the machine tools. For reliable tool wear monitoring, only the current signal from tool wear should be extracted from the other parameters to avoid exhaustive analyses on signals in which all of the parameters are fused together. In this paper, the influences of force components from different parameters on the measured spindle current are investigated, and a hybrid approach to cutting force regulation is employed for tool wear signal extraction from the spindle current. Finally, wear levels are verified with experimental results by means of real-time feedrate aspects, varied to regulate the force component from tool wear.

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. Dimla DE Sr (2000) Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods. Int J Mach Tools Manuf 40(8):1073–1098

    Article  Google Scholar 

  2. de Jesus R-TR, Gilberto H-R, Ivan T-V, Carlos J-CJ (2003) Driver current analysis for sensorless tool breakage monitoring of CNC milling machines. Int J Mach Tools Manuf 43(15):1529–1534

    Article  Google Scholar 

  3. Lee KS, Lee LC, Teo SC (1992) On-line tool wear monitoring using a PC. J Mater Process Technol 29(1–3):3–13

    Article  Google Scholar 

  4. Dimla DE Sr, Lister PM (2000) On-line metal cutting tool condition monitoring. I. Force and vibration analyses. Int J Mach Tools Manuf 40(5):739–768

    Google Scholar 

  5. Lee LC, Lam KY, Liu XD (1994) Characterization of tool wear failure. J Mater Process Technol 40:143–153

    Article  Google Scholar 

  6. Oraby SE, Hayhurst DR (1991) Development of models for tool wear force relationship in metal cutting. Int J Mach Tools Manuf 33:125–138

    Google Scholar 

  7. Lee LC, Lee KS, Gan CS (1989) On the correlation between dynamic cutting and tool wear. Int J Mach Tools Manuf 29(3):295–303

    Article  Google Scholar 

  8. Yan D, El-Wardany TI, Elbestawi MA (1995) A multi-sensor strategy for tool failure detection in milling. Int J Mach Tools Manuf 35(3):383–398

    Article  Google Scholar 

  9. Jemielniak K, Otman O (1998) Tool failure detection based on analysis of acoustic emission signals. J Mater Process Technol 76(1):192–197

    Article  Google Scholar 

  10. Yang MY, Park HD (1991) The prediction of cutting force in ball-end milling. Int J Mach Tools Manuf 31(1):45–54

    Article  Google Scholar 

  11. Feng HY, Meng CH (1992) The prediction of cutting forces in the ball-end milling process. Parts I and II. Int J Mach Tools Manuf 34(5):697–710

    Article  Google Scholar 

  12. Yang M-Y, Lee T-M (2002) Hybrid adaptive control based on the characteristics of CNC end milling. Int J Mach Tools Manuf 42(4):489–499

    Article  MathSciNet  Google Scholar 

  13. Altintas Y (1992) Prediction of cutting forces and tool breakage in milling from feed drive current measurements. J Eng Ind—Trans ASME 114(11):386–392

    Article  Google Scholar 

  14. Kim S-C, Chung S-C (1998) Cutting force estimation using feed drive and spindle motor currents in milling process. KSME 22:2029–2038

    Google Scholar 

  15. Choi JG, Yang MY (1999) In-process prediction of cutting depths in end milling. Int J Mach Tools Manuf 39(5):705–721

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kang-Jae Lee.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lee, KJ., Lee, TM. & Yang, MY. Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation. Int J Adv Manuf Technol 32, 8–17 (2007). https://doi.org/10.1007/s00170-005-0350-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-005-0350-0

Keywords

Navigation