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The milling tool wear monitoring using the acoustic spectrum
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Ai, C. S., Sun, Y. J., He, G. W., Ze, X. B., Li, W. and Mao, Ken (2012) The milling tool wear monitoring using the acoustic spectrum. The International Journal of Advanced Manufacturing Technology, Volume 61 (Number 5-8). pp. 457-463. doi:10.1007/s00170-011-3738-z ISSN 0268-3768.
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Official URL: http://dx.doi.org/10.1007/s00170-011-3738-z
Abstract
In the present study, the tool wear has been monitored using the cutting sound acoustic spectrum and the linear predictive cepstrum coefficient (LPCC) of the milling sound signal would be extracted to be used as the acoustic spectrum characteristic parameters. The relationship between each order component of LPCC and the flank wear of the tools was analysed. The experimental results show that there are clear characteristic components in the milling sound signal related to the tool wear. It has been found that the characteristic components associated with tool wear are mainly concentrated in the sixth-, seventh- and eighth-order components of LPCC.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Journal or Publication Title: | The International Journal of Advanced Manufacturing Technology | ||||
Publisher: | Springer-Verlag | ||||
ISSN: | 0268-3768 | ||||
Official Date: | July 2012 | ||||
Dates: |
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Volume: | Volume 61 | ||||
Number: | Number 5-8 | ||||
Page Range: | pp. 457-463 | ||||
DOI: | 10.1007/s00170-011-3738-z | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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