Detecting transition to chatter mode in peakless tool turning by monitoring vibration and acoustic emission signals

Abstract

Stability of a peakless tool turning on slender shafts was studied under conditions of low- and high-magnitude vibrations by registering and short-time Fourier transformation (STFT) processing of acoustic emission (AE) and vibration acceleration (VA) signals. Both VA and AE signals have been registered in three positions of the cutting tool on the workpiece and for different shaft diameters. Both amplitude- and frequency-dependent AE and VA characteristics were obtained and analyzed for overall process signal length as well as for single frames. It was shown that power spectrum characteristic could be used for monitoring the fast-occurring changes in the cutting process stability. A criterion of the cutting process stability based on the power spectrum has been offered.

Original language	English
Pages (from-to)	1-13
Number of pages	13
Journal	International Journal of Advanced Manufacturing Technology
DOIs	https://doi.org/10.1007/s00170-017-1188-y
Publication status	Accepted/In press - 13 Oct 2017

Keywords

Acoustic emission
Chatter
Peakless tool turning
Precision
Vibration

ASJC Scopus subject areas

Control and Systems Engineering
Software
Mechanical Engineering
Computer Science Applications
Industrial and Manufacturing Engineering

Access to Document

10.1007/s00170-017-1188-y

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title = "Detecting transition to chatter mode in peakless tool turning by monitoring vibration and acoustic emission signals",

abstract = "Stability of a peakless tool turning on slender shafts was studied under conditions of low- and high-magnitude vibrations by registering and short-time Fourier transformation (STFT) processing of acoustic emission (AE) and vibration acceleration (VA) signals. Both VA and AE signals have been registered in three positions of the cutting tool on the workpiece and for different shaft diameters. Both amplitude- and frequency-dependent AE and VA characteristics were obtained and analyzed for overall process signal length as well as for single frames. It was shown that power spectrum characteristic could be used for monitoring the fast-occurring changes in the cutting process stability. A criterion of the cutting process stability based on the power spectrum has been offered.",

keywords = "Acoustic emission, Chatter, Peakless tool turning, Precision, Vibration",

author = "Filippov, {A. V.} and Rubtsov, {V. E.} and Tarasov, {S. Y.} and Podgornykh, {O. A.} and Shamarin, {N. N.}",

year = "2017",

month = oct,

day = "13",

doi = "10.1007/s00170-017-1188-y",

language = "English",

pages = "1--13",

journal = "International Journal of Advanced Manufacturing Technology",

issn = "0268-3768",

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TY - JOUR

T1 - Detecting transition to chatter mode in peakless tool turning by monitoring vibration and acoustic emission signals

AU - Filippov, A. V.

AU - Rubtsov, V. E.

AU - Tarasov, S. Y.

AU - Podgornykh, O. A.

AU - Shamarin, N. N.

PY - 2017/10/13

Y1 - 2017/10/13

N2 - Stability of a peakless tool turning on slender shafts was studied under conditions of low- and high-magnitude vibrations by registering and short-time Fourier transformation (STFT) processing of acoustic emission (AE) and vibration acceleration (VA) signals. Both VA and AE signals have been registered in three positions of the cutting tool on the workpiece and for different shaft diameters. Both amplitude- and frequency-dependent AE and VA characteristics were obtained and analyzed for overall process signal length as well as for single frames. It was shown that power spectrum characteristic could be used for monitoring the fast-occurring changes in the cutting process stability. A criterion of the cutting process stability based on the power spectrum has been offered.

AB - Stability of a peakless tool turning on slender shafts was studied under conditions of low- and high-magnitude vibrations by registering and short-time Fourier transformation (STFT) processing of acoustic emission (AE) and vibration acceleration (VA) signals. Both VA and AE signals have been registered in three positions of the cutting tool on the workpiece and for different shaft diameters. Both amplitude- and frequency-dependent AE and VA characteristics were obtained and analyzed for overall process signal length as well as for single frames. It was shown that power spectrum characteristic could be used for monitoring the fast-occurring changes in the cutting process stability. A criterion of the cutting process stability based on the power spectrum has been offered.

KW - Acoustic emission

KW - Chatter

KW - Peakless tool turning

KW - Precision

KW - Vibration

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