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TECHNICAL PAPERS

On-Line Chatter Detection Using Wavelet-Based Parameter Estimation

[+] Author and Article Information
Taejun Choi

Graduate Research Assistant

Yung C. Shin

School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907

J. Manuf. Sci. Eng 125(1), 21-28 (Mar 04, 2003) (8 pages) doi:10.1115/1.1531113 History: Received October 01, 2000; Revised February 01, 2002; Online March 04, 2003
Copyright © 2003 by ASME
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References

Figures

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A comparison of wavelet coefficients between stable and unstable turning processes
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(a) Vibration signal under stable cut (b) histogram of the signal and Gaussian probability density function (pdf) with the same mean and standard deviation as in the cutting signal (mean: −0.0382, standard deviation: 2.21)
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Flow chart for implementing the applied algorithm
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Acceleration signals and corresponding chatter indexes. Conventional turning with the 45 deg tool, a spindle speed of 1250 rpm and a feed of 0.0965 mm/rev. (a) depth of cut=1.62 mm (b) depth of cut=2.49 mm (•: estimation point).
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Conventional turning with the same setup as in Fig. 2 (•:estimation point)
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Test points to determine the critical depth of cut at 680 rpm
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FFT plots of x-force signals and estimation of γ at the critical points (•: estimation point)
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Experimental test points (Range 1900–2700 rpm)
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FFT plots of x-force signals and estimation of γ to validate the selected threshold (•: estimation point)
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X-force signals and estimated γ values at test point EE, Y and Z (•: estimation point)

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