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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.

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Title On-line tool condition monitoring and control system in forging processes
Author(s) Kong, Lingxue
Nahavandi, Saeid
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
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
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
Collection: School of Engineering and Technology
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