0
TECHNICAL PAPERS

A Neuro-Fuzzy System for Tool Condition Monitoring in Metal Cutting

[+] Author and Article Information
Omez S. Mesina, Reza Langari

Department of Mechanical Engineering, Texas A&M University, College Station, TX 77843-3123

J. Manuf. Sci. Eng 123(2), 312-318 (Apr 01, 2000) (7 pages) doi:10.1115/1.1363599 History: Received April 01, 1997; Revised April 01, 2000
Copyright © 2001 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Architecture of the neuro-fuzzy system. (Note: Cutting Parameter Index or C.P.I., reflects the intensity of the machining process and is described in Section 4.)
Grahic Jump Location
A 4-5-1 Neural Network to predict tool condition
Grahic Jump Location
Adapting the fuzzy sets
Grahic Jump Location
Fuzzy set definition for force (before tuning) shown in relation to the occurrence of force values in the data
Grahic Jump Location
Fuzzy set definitions (a) before tuning (b) after tuning

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In