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 of the 9th International Conference on Manufacturing Engineering, ICME, Melbourne, Vic., pp. 1-17.

Attached Files
Name Description MIMEType Size Downloads

Title Acoustic condition monitoring for cold metal forming
Author(s) Tran, Huy K.
Gunn, Bruce
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Conference name International Conference on Manufacturing Engineering (9th : 2003 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 13-15 Oct. 2003
Title of proceedings ICME 2003 : Conference proceedings of the 9th International Conference on Manufacturing Engineering
Editor(s) Brown, R. H.
Publication date 2003
Conference series International Conference on Manufacturing Engineering
Start page 1
End page 17
Total pages 17
Publisher ICME
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
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005125

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 1207 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:45:44 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.