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TECHNICAL BRIEFS

On-Line Detection of Drill Wear

[+] Author and Article Information
T. I. Liu

Department of Mechanical Engineering, California State University, Sacramento, CA

S. M. Wu

Department of Mechanical Engineering and Applied Mechanics, University of Michigan, Ann Arbor, MI

J. Eng. Ind 112(3), 299-302 (Aug 01, 1990) (4 pages) doi:10.1115/1.2899590 History: Received August 01, 1988; Revised October 01, 1989; Online April 08, 2008

Abstract

An on-line system for drill wear detection has been developed by using a sensor fusion strategy. Both acceleration and thrust signals were analyzed. Flank wear area was used to evaluate drill wear states. The drill wear area was measured by a vision system and classified into two groups: usable and worn-out. The wear prediction model was obtained by a two-category linear classifier. On-line detection tests indicate that the prediction model has over a 90 percent success rate.

Copyright © 1990 by The American Society of Mechanical Engineers
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