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.
Issue Section:
Technical Briefs
1.
Sata
, T.
, Matzsushima
, K.
, Nagakura
, K.
, and Kono
, E.
, 1973, “Learning and Recognition of the Cutting States by the Spectrum Analysis Technique
,” CIRP Ann.
0007-8506, 22
, pp. 41
–42
.2.
Braun
, S.
, 1975, “Signal Processing for the Determination of Chatter Threshold
,” CIRP Ann.
0007-8506, 24
(1
), pp. 315
–320
.3.
Eman
, K.
, and Wu
, S. M.
, 1980, “A Feasibility Study of On-Line Identification of Chatter in Turning Operations
,” ASME J. Eng. Ind.
0022-0817, 102
, pp. 315
–321
.4.
Tansel
, I.
, Wagiman
, A.
, and Tziranis
, A.
, 1991, “Recognition of Chatter With Neural Networks
,” Int. J. Mach. Tools Manuf.
0890-6955, 31
(4
), pp. 539
–552
.5.
Li
, X.
, Wong
, Y.
, and Nee
, A.
, 1998, “Comprehensive Identification of Tool Failure and Chatter Using a Parallel Multi-ART2 Neural Network
,” ASME J. Manuf. Sci. Eng.
1087-1357, 120
, pp. 433
–442
.6.
Kuljanic
, E.
, Totis
, G.
, and Sortino
, M.
, 2009, “Development of an Intelligent Multisensor Chatter Detection System in Milling
,” Mech. Syst. Signal Process.
0888-3270, 23
(5
), pp. 1704
–1718
.7.
Berger
, B.
, Minis
, I.
, Harley
, J.
, Rokni
, M.
, and Papadopoulos
, M.
, 1998, “Wavelet Based Cutting State Identification
,” J. Sound Vib.
0022-460X, 213
(5
), pp. 813
–827
.8.
Choi
, T.
, and Shin
, Y.
, 2003, “On-Line Chatter Detection Using Wavelet-Based Parameter Estimation
,” ASME J. Manuf. Sci. Eng.
1087-1357, 125
, pp. 21
–28
.9.
Tansel
, I. N.
, Wang
, X.
, Chen
, P.
, Yenilmez
, A.
, and Ozcelik
, B.
, 2006, “Transformations in Machining. Part 2. Evaluation of Machining Quality and Detection of Chatter in Turning by Using s-Transformation
,” Int. J. Mach. Tools Manuf.
0890-6955, 46
(1
), pp. 43
–50
.10.
Kondo
, E.
, Ota
, H.
, and Kawai
, T.
, 1997, “A New Method to Detect Regenerative Chatter Using Spectral Analysis, Part 1: Basic Criteria for Detection of Chatter
,” ASME J. Manuf. Sci. Eng.
1087-1357, 119
, pp. 461
–466
.11.
Li
, X.
, Wong
, Y.
, and Nee
, A.
, 1997, “Tool Wear and Chatter Detection Using the Coherence Function of Two Crossed Accelerations
,” Int. J. Mach. Tools Manuf.
0890-6955, 37
(4
), pp. 425
–435
.12.
Grabec
, I.
, Gradisek
, J.
, and Govekar
, E.
, 1999, “New Method for Chatter Detection in Turning
,” CIRP Ann.
0007-8506, 48
(1
), pp. 29
–32
.13.
Bao
, S.
, Zhang
, W.
, Yu
, J.
, Qiao
, S.
, and Yang
, F.
, 1994, “A New Approach to the Early Prediction of Turning Chatter
,” ASME J. Vibr. Acoust.
0739-3717, 116
, pp. 485
–488
.14.
Chen
, Y.
, Li
, X.
, and Orady
, E.
, 1996, “Chatter Detection in Milling Process via Time-Frequency Distribution
,” Proceedings of the Fifth Industrial Engineering Research Conference
, pp. 59
–64
.15.
Kaiser
, J.
, 1990, “On a Simple Algorithm to Calculate the Energy of a Signal
,” Proceedings of the IEEE International Conference on Acoustic Speech and Signal Processing
, pp. 381
–384
.16.
Mukhopadhyay
, S.
, and Ray
, G.
, 1998, “A New Interpretation of Nonlinear Energy Operator and Its Efficacy in Spike Detection
,” IEEE Trans. Biomed. Eng.
0018-9294, 45
(2
), pp. 180
–187
.17.
Thompson
, R.
, 1969, “The Modulation of Chatter Vibrations
,” ASME J. Eng. Ind.
0022-0817, 91
, pp. 673
–679
.18.
Cohen
, L.
, 1995, Time-Frequency Analysis
, Prentice-Hall
, Englewood Cliffs, NJ
.19.
Claasen
, T.
, and Mecklenbrauker
, W.
, 1980, “The Wigner Distribution—A Tool for Time-Frequency Signal Analysis Part I: Continuous-Time Signals
,” Philips J. Res.
0165-5817, 35
, pp. 217
–250
.20.
Lin
, W.
, Hamilton
, C.
, and Chitrapu
, P.
, 1995, “A Generalization to the Teager-Kaiser Energy Function & Application to Resolving Two Closely-Spaced Tones
,” Proceedings of the IEEE International Conference on Acoustic Speech and Signal Processing
, pp. 1637
–1640
.21.
Al-Regib
, E.
, 2000, “Machining Systems Stability Analysis for Chatter Suppression and Detection
,” Ph.D. thesis, University of Michigan, Ann Arbor, MI.22.
Choi
, J. H.
, and Kim
, T.
, 2002, “Neural Action Potential Detector Using Multi-Resolution TEO
,” Electron. Lett.
0013-5194, 38
(12
), pp. 541
–543
.23.
Altintas
, Y.
, and Chan
, P.
, 1992, “In Process Detection and Suppression of Chatter in Milling
,” Int. J. Mach. Tools Manuf.
0890-6955, 32
, pp. 329
–347
.Copyright © 2010
by American Society of Mechanical Engineers
You do not currently have access to this content.