Tool Wear Monitoring in Diamond Turning by Fuzzy Pattern Recognition

[+] Author and Article Information
Tae Jo Ko, Dong Woo Cho

Department of Mechanical Engineering, Pohang Institute of Science and Technology, Pohang, Kyungbuk, 790-600, South Korea

J. Eng. Ind 116(2), 225-232 (May 01, 1994) (8 pages) doi:10.1115/1.2901934 History: Received March 01, 1992; Revised February 01, 1993; Online April 08, 2008


This paper introduces a fuzzy pattern recognition technique for monitoring single crystal diamond tool wear in the ultraprecision machining process. Selected features by which to partition the cluster of patterns were obtained by time series AR modeling of dynamic cutting force signals. The wear on a diamond tool edge appears to be classifiable into two types, micro-chipping and gradual, both very small compared to conventional tool wear. In this regard, we used a fuzzy technique in pattern recognition, which considers the ambiguity in classification as well as the weakness of the cutting force variation, to monitor the diamond tool wear status, with satisfactory results.

Copyright © 1994 by The American Society of Mechanical Engineers
Your Session has timed out. Please sign back in to continue.





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