Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Computer Aided Selection of Cutting Parameters by Using Fuzzy Logic

  • Conference paper
  • First Online:
Computational Intelligence. Theory and Applications (Fuzzy Days 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2206))

Included in the following conference series:

Abstract

This paper introduces a system that has been developed for the selection of cutting parameters of turning operations from the machinability data handbook by using Fuzzy Logic (FL) approach. Main objective of the system is to get rid of the manually input-output oriented handbook, so selection of cutting parameters is made by a user-friendly intelligent system. This system is visual and menu oriented; also usage of the system is very simple.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Dereli, T., 1998, “Development of a Process Planning System for Prizmatic Parts”, Ph.D. Thesis, University of Gaziantep.

    Google Scholar 

  2. Ross, T.J., 1995, Fuzzy Logic with Engineering Applications, McGraw-Hill, USA.

    MATH  Google Scholar 

  3. Chen, L. and Rao, S.S., 1997, “Manipulation of Uncertainties in the Determination of Optimal Machining Conditions under Multiple Criteria”, Journal of Manufacturing Science and Engineering, Transactions of ASME, Vol. 119, pp. 186–192.

    Article  Google Scholar 

  4. Yuedong Chen, 1995, “A Fuzzy Expert System for the Design of Machining Operations”, Int. J. Machine Tools Manufacturing, Vol. 35, No. 12, pp. 1605–1621.

    Article  Google Scholar 

  5. El-Baradie, M.A., 1997, “A Fuzzy Logic Model for Machining Data Selection”, Int.J. Machine Tools Manufacturing, Vol. 37, No.9, pp.1353–1372.

    Article  Google Scholar 

  6. Machinability Data Center, 1980, Machining Data Handbook, 3rd Edn. Vols. 1& 2, MetCut Research Associates Inc., Cincinati, USA.

    Google Scholar 

  7. Von Altrock, C., 1995, Fuzzy Logic & Neuro Fuzzy Applications Explained, Prentice Hall, USA.

    Google Scholar 

  8. Zadeh, L.A., 1965, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 338–353.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yılmaz, O., Görür, G., Dereli, T. (2001). Computer Aided Selection of Cutting Parameters by Using Fuzzy Logic. In: Reusch, B. (eds) Computational Intelligence. Theory and Applications. Fuzzy Days 2001. Lecture Notes in Computer Science, vol 2206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45493-4_85

Download citation

  • DOI: https://doi.org/10.1007/3-540-45493-4_85

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42732-2

  • Online ISBN: 978-3-540-45493-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics