Skip to main content
SpringerLink
Log in

Influence of machining cycle of horizontal milling on the quality of cutting force measurement for the cutting tool wear monitoring

  • Machine Tool
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

The cutting tools are today used a lot by industry and they are expensive, so it was interesting to optimize their use, by developing a predictive method of their wear, particularly, the flank wear V b . For this task, the flank tool wear was measured in off-line using a binocular microscope, whereas, the cutting forces are recorded by means of a dynamometer (Kistler 9255B). The acquired signatures are analyzed during the milling operation throughout the tool life. In this paper, we are interested in the extraction of the appropriate indicators which characterize the tool wear by temporal and frequential analyses of the cutting force signals; and highlighting the influence of the clamp holes and the machining cycle to the quality of the measurements.

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

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

Similar content being viewed by others

Abbreviations

a :

depth of cut (mm)

C w :

the edge force constant (N/mm2)

F a :

axial force (N)

F r :

radial force (N)

F RR :

resultant force (N)

K s :

specific cutting pressure of workpiece material (N/mm2)

S t :

feed rate per tooth (mm/tooth)

V b :

the flank wear width (mm)

K t :

the crater wear depth (mm)

V f :

feed speed (m/min)

V c :

cutting speed (m/min)

S s :

spindle speed (rpm)

R 1, R 2 :

force ratio constant

References

  1. Altintas Y, Yellowley I (1989) In-process detection of tool failure in milling using cutting forces model. J Eng Ind 111:149–157

    Article  Google Scholar 

  2. Choudhury SK, Rath S (2000) In-process tool wear estimation in milling using cutting force model. J Mater Process Technol 99:113–119

    Google Scholar 

  3. Hongjian X, Kechong Y, Rong Y (1997) The shape characteristic detection of tool breakage in milling operations. Int J Mach Tools Manufacture 37:1651–1660

    Article  Google Scholar 

  4. Prickett PW, Johns C (1999) An overview of approaches to end milling tool monitoring. Int J Mach Tools Manufacture 3:105–122

    Article  Google Scholar 

  5. Tansel I, Trujillo M, Nedbouyan A, Velez C, Wei-Yu Bao T, Arkan T, Tansel B (1998) Micro-end-milling—III Wear estimation and tool breakage detection using acoustic emission signals. Int J Mach Tools Manufacture 38:1449–1466

    Article  Google Scholar 

  6. Rene R, de Jesus H, Gilberto T, Ivan J, Carlos Juan (2003) Driver current analysis for sensorless tool breakage monitoring of CNC milling machines. Int J Machine Tools Manufacture 43:1529–1534

    Article  Google Scholar 

  7. R’mili W (2007) Analyse vibratoire pour l’étude de l’usure des outils de coupe en tournage. Thesis, Tours university, France

  8. Sarhan A, Sayed R, Nassr AA, El-Zahry RM (2001) Interrelationships between cutting force variation and tool wear in end-milling. J Mater Process Technol 109:229–235

    Article  Google Scholar 

  9. Yan W, Wong YS, Lee KS, Ning T (1999) An investigation of indices based on milling force for tool wear in milling. J Mater Process Technol 90:245–253

    Article  Google Scholar 

  10. Ghosh N, Ravi YB, Patra A, Mukhopadhyay S, Paul S, Mohanty AR, Chattopadhyay AB (2007) Estimation of tool wear during CNC milling using neural network-based sensor fusion. Mech Syst Signal Process 21:466–479

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Mr. Stephen Huret and Mr. Bruno Quillin of Safety-group for their assistance in the data acquisition and also Mr. Murad Reggab for his precious comments.

Author information

Authors and Affiliations

  1. LCPTS, University of Houari Boumedienne, Bab-Ezzouar, Algeria

    Mecheri Kious & M. Boudraa

  2. Studies and Research Center for cutting Tools, CEROC, LMR, University of Tours, Tours, France

    A. Ouahabi & R. Serra

Authors
  1. Mecheri Kious
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Boudraa
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Ouahabi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. R. Serra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mecheri Kious.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kious, M., Boudraa, M., Ouahabi, A. et al. Influence of machining cycle of horizontal milling on the quality of cutting force measurement for the cutting tool wear monitoring. Prod. Eng. Res. Devel. 2, 443–449 (2008). https://doi.org/10.1007/s11740-008-0119-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-008-0119-z

Keywords

Search

Navigation