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Technical Briefs

Chatter Detection in Machining Using Nonlinear Energy Operator

[+] Author and Article Information
Emad Al-Regib, Jun Ni

Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109

J. Dyn. Sys., Meas., Control 132(3), 034502 (Apr 16, 2010) (4 pages) doi:10.1115/1.4001331 History: Received November 15, 2008; Revised February 03, 2010; Published April 16, 2010; Online April 16, 2010

A normalized chatter detection index, which is independent of cutting conditions, is critical for machining process monitoring and control. This paper introduces a novel method for on-line machine-tool chatter detection. The method characterizes the significant transition in the cutting dynamics at the onset of chatter by the changes in the instantaneous energy of the machining system. This technique utilizes the relation between the Teager–Kaiser nonlinear energy operator and time-frequency (Wigner) distribution to develop a normalized chatter detection index. The validity of this technique is demonstrated with the actual experimental cutting data obtained from turning and milling processes.

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Copyright © 2010 by American Society of Mechanical Engineers
Topics: Machining , Chatter
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Figures

Grahic Jump Location
Figure 1

Sampling frequency to vibration frequency ratio influence on the optimal lag parameter (M) based on Eq. 10

Grahic Jump Location
Figure 2

Experimental acceleration data, time history of the spectral density function, and the energy ratio (ER) as normalized chatter detection index for (a) turning and (b) milling processes

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