Skip to main content
Log in

Analysis of force patterns and tool life in milling operations

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

Abstract

The paper describes the practical effects of the operating parameters in the milling operation. Experiments have been conducted to measure cutting force and tool life under dry conditions. Based on the experimental results, three mathematical models have been developed: Force, TLife and Force/TLife. Further analyses have been conducted on the cutting force patterns: seasonal pattern and nonlinear trend. A process optimisation that is based on the minimum production cost has been applied to relate Force model, TLife model and machinability criteria, such as power consumption, cutting parameters and surface roughness.

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

Abbreviations

C w :

cost of workpiece ($)

C s :

set-up cost ($)

C m :

machining cost ($)

C o :

overhead cost ($)

C r :

tool replacement cost ($)

C t :

tool cost ($)

D :

diameter of the cutter (inch)

d :

depth of cut per pass (inch)

d 0 :

required depth (inch)

e t :

random error attth sample

F :

cutting force (N)

f :

feedrate (ipm)

L :

length of workpiece (inch)

N :

spindle speed (r.p.m.)

n :

number of teeth

P :

power of the motor (h.p.)

R :

surface roughness (µm)

R e :

real part of a complex function

T :

tool life (min)

t :

sample number

t m :

machining time (s)

t 0 :

overhead time (s)

t r :

tool replacement time (s)

t s :

set-up time (s)

U i :

unit cost of itemi ($/unit)v

v :

cutting speed (i.p.m.)

References

  1. M. S. Lan and Y. Naerheim, “In-process detection of tool breakage in milling”,ASME Journal of Engineering in Industry,108, 1986.

  2. Y. Altintas, I. Yellowley and J. Tlusty, “The detection of tool breakage in milling operations”,ASME Journal of Engineering in Industry,110, 1988.

  3. Y. Altintas and I. Yellowley, “In-process detection of tool failure in milling using cutting force models”,ASME Journal of Engineering in Industry,111, 1989.

  4. H. J. Jacobs, B. Hentschel and B. Stange, “Intelligent tool monitoring for machining”,International Journal of Production Research,26(10), 1988.

  5. J. H. Tarn and M. Tomizuka, “On-line monitoring of tool and cutting conditions in milling”,ASME Journal of Engineering in Industry,111, 1989.

  6. B. K. Fussell and K. Srinivasan, “On-line identification of end milling process parameters”,ASME Journal of Engineering in Industry,111, 1989.

  7. S. B. Billatos and P. C. Tseng, “Knowledge based optimization for intelligent machining”,SME Journal of Manufacturing Systems,10(6), 1991.

  8. S. M. A. Suliman and G. A. Hassan, “Modelling, optimization and response curves of milling low carbon steel”,International Journal of Production Research,29(4), pp. 725–737, 1991.

    Google Scholar 

  9. Machining Aluminum. Aluminum company of Canada Ltd, p. 48, 1953.

  10. P. R. Winters, “Forecasting Sales by Exponentially Weighted Moving Averages”,Management Science 6, pp. 324–342, 1960.

    Google Scholar 

  11. K. Hitomi,Manufacturing Systems Engineering, Taylor & Francis Ltd, 1979.

  12. J. Yien, “Analysis of cutting tool and conditions of milling operations”, MASc Thesis, Department of Industrial Engineering, University of Windsor, 1991.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Abdou, G., Yien, J. Analysis of force patterns and tool life in milling operations. Int J Adv Manuf Technol 10, 11–18 (1995). https://doi.org/10.1007/BF01184273

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01184273

Keywords

Navigation