Acoustic Emission Sensing of Tool Wear in Face Milling

[+] Author and Article Information
E. N. Diei, D. A. Dornfeld

Department of Mechanical Engineering, University of California, Berkeley, CA 94720

J. Eng. Ind 109(3), 234-240 (Aug 01, 1987) (7 pages) doi:10.1115/1.3187124 History: Received March 23, 1987; Online July 30, 2009


Acoustic Emission (AE) signal analysis was applied to on-line sensing of tool wear in face milling. Cutting tests were conducted on a vertical milling machine. AE signals, feed and normal components of cutting force and flank wear were measured and compared. A signal processing scheme for intermittent cutting forces and AE signals, based on the concept of time domain averaging (TDA) is proposed. The results indicate that both AE and cutting forces have parameters that correlate closely with flank wear.

Copyright © 1987 by ASME
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