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 | |
| Publication status | Accepted/In press - 13 Oct 2017 |
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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
Cite this
Detecting transition to chatter mode in peakless tool turning by monitoring vibration and acoustic emission signals. / Filippov, A. V.; Rubtsov, V. E.; Tarasov, S. Y.; Podgornykh, O. A.; Shamarin, N. N.
In: International Journal of Advanced Manufacturing Technology, 13.10.2017, p. 1-13.Research output: Contribution to journal › Article
}
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
UR - http://www.scopus.com/inward/record.url?scp=85031425721&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85031425721&partnerID=8YFLogxK
U2 - 10.1007/s00170-017-1188-y
DO - 10.1007/s00170-017-1188-y
M3 - Article
SP - 1
EP - 13
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
ER -