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Experimental Study of Sound Signal for Tool Condition Monitoring in Micro Milling Processes

[+] Author Affiliations
Chia-Liang Yen, Ming-Chyuan Lu, Tin-Hong Chen

National Chung Hsing University, Taichung, Taiwan

Ching-Yuan Lin

Industrial Technology Research Instititute, Hsinchu, Taiwan

Paper No. MSEC_ICMP2008-72181, pp. 257-264; 8 pages
doi:10.1115/MSEC_ICMP2008-72181
From:
  • ASME 2008 International Manufacturing Science and Engineering Conference collocated with the 3rd JSME/ASME International Conference on Materials and Processing
  • ASME 2008 International Manufacturing Science and Engineering Conference, Volume 2
  • Evanston, Illinois, USA, October 7–10, 2008
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-4852-4 | eISBN: 978-0-7918-3836-6
  • Copyright © 2008 by ASME

abstract

The audible sound signals obtained in micro-milling processes are analyzed in the time and frequency domain for the tool wear and breakage monitoring. Micro end-mills of φ 700 μm are implemented in the tool wear test, along with a high speed spindle with speed up to 60000 rpm. The audible sound signals and vibration signals for different tool conditions were collected simultaneously in the cutting. After transferring data from time domain to the frequency domain, as well as the Wavelet coefficients, the capability of audible sound signals in detecting the tool condition for the micro milling process was evaluated.

Copyright © 2008 by ASME

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