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Acoustic condition monitoring for cold metal forming

Tran, Huy K., Gunn, Bruce and Nahavandi, Saeid 2003, Acoustic condition monitoring for cold metal forming, in ICME 2003 Conference proceedings, 13-15 Oct., 2003, Carlton Crest Hotel, Melbourne Australia, The Conference, Melbourne, Vic., pp. 1-17.

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Title Acoustic condition monitoring for cold metal forming
Author(s) Tran, Huy K.
Gunn, Bruce
Nahavandi, Saeid
Conference name International Conference on Manufacturing Engineering (9th : 2003 : Melbourne, Australia)
Conference location Melbourne, Australia
Conference dates 13-15 October 2003
Title of proceedings ICME 2003 Conference proceedings, 13-15 Oct., 2003, Carlton Crest Hotel, Melbourne Australia
Editor(s) Brown, R. H.
Publication date 2003
Start page 1
End page 17
Publisher The Conference
Place of publication Melbourne, Vic.
Keyword(s) acoustic emission (AE)
metal forming
manufacturing
acoustic signal analysis
tool wear state
Summary One of the most important objectives of cold metal forming research is to develop techniques that enable better manufacturing efficiencies. Within this monitoring of tooling condition is vital to providing high quality manufacturing. The objective of this research is to determine the signature derived from Acoustic Emission (AE) sensors, in order to establish the current condition of a machine tool, as applied to bolt-making. From here we aim to develop and implement an on-line condition monitoring tool for the cold forming process. A review of the literature has shown that much research into AE has been successfully applied in metal cutting operations; such as milling, drilling and turning, but little research has been done related to metal forming. This appears to be due to the complexity of obtaining consistent signals using Acoustic Emission systems, because the presence of noise in many forms. This paper will detail many of the AE signals acquired and analysed through our research. The extensive results indicate this form of condition monitoring is not suitable for metal forming in its current configuration. Further tests are proposed to enable such research to move forward, so a condition monitoring system can be established.
ISBN 1877040177
9781877040177
Language eng
Field of Research 090609 Signal Processing
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005125

Document type: Conference Paper
Collection: School of Engineering and Technology
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