On-line tool condition monitoring and control system in forging processes Kong, Lingxue and Nahavandi, Saeid 2002, On-line tool condition monitoring and control system in forging processes, Journal of materials processing technology, vol. 125, no. 126, pp. 464-470, doi: 10.1016/S0924-0136(02)00367-9. Attached Files Name Description MIMEType Size Downloads Title On-line tool condition monitoring and control system in forging processes Author(s) Kong, Lingxue orcid.org/0000-0001-6219-3897 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name Journal of materials processing technology Volume number 125 Issue number 126 Start page 464 End page 470 Publisher Elsevier Science BV Place of publication Amsterdam, The Netherlands Publication date 2002-09-09 ISSN 0924-0136 1873-4774 Keyword(s) forging process on-line monitoring and control artificial neural networks model integration Summary Cold bulk metal forming has made large-scale production of small complex solid parts economically feasible. Tooling used in metal forming poses many uncertainties in the preliminary cost estimation and production process and continual tool replacement and maintenance dramatically reduces productivity and raises manufacturing cost. In order to tackle this, an on-line tool condition monitoring system using artificial neural network (ANN) to integrate information from multiple sensors for forging process has been developed. Together with the force, acoustic emission signals and process conditions, information developed from theoretical models is integrated into the ANN tool monitoring system to predict tool life and provide the maintenance schedule. Language eng DOI 10.1016/S0924-0136(02)00367-9 Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2002, Elsevier Science B.V. Persistent URL http://hdl.handle.net/10536/DRO/DU:30008559 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 11 Aug 2022, 18:52:42 EST Mon, 16 Jun 2014, 09:23:40 EST Filtered Full Citation counts:   Cited 16 times in TR Web of Science Cited 25 times in Scopus Search Google Scholar Access Statistics: 1253 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 13 Oct 2008, 15:35:32 EST