NDLI: Automatic detection of a damaged cutting tool during machining I: method to detect damaged bandsaw teeth during sawing

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Automatic detection of a damaged cutting tool during machining I: method to detect damaged bandsaw teeth during sawing

Content Provider	Springer Nature Link
Author	Zhu, Nanfeng Tanaka, Chiaki Ohtani, Tadashi Usuki, Hiroshi
Copyright Year	2000
Abstract	This paper presents an on-line method for detecting damaged teeth in the bandsaw using acoustic emission (AE) signal energy. The method is based on an analysis of differences in AE energies generated by normal and damaged teeth during sawing. Because of the difference in the amount of sawing, the AE energy was low for sawing by the damaged tooth and high for sawing by the normal tooth immediately after the damaged tooth. The ratio of AE energy for two successive teeth — a normal tooth immediately following a damaged tooth — was much greater than 1, whereas the ratio of AE energy for two successive normal teeth was close to 1. The results demonstrate that the technique using the AE energy ratio for two successive teeth is effective for on-line detection of damaged bandsaw teeth.
Starting Page	437
Ending Page	443
Page Count	7
File Format	PDF
ISSN	14350211
Journal	Journal of Wood Science
Volume Number	46
Issue Number	6
e-ISSN	16114663
Language	English
Publisher	Springer-Verlag
Publisher Date	2000-01-01
Publisher Place	Tokyo
Access Restriction	Subscribed
Subject Keyword	Acoustic emission Damaged bandsaw teeth Two successive teeth AE energy ratio Wood Science & Technology Materials Science Characterization and Evaluation of Materials
Content Type	Text
Resource Type	Article
Subject	Biomaterials Forestry

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