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RESEARCH PAPERS

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

Abstract

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
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