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On-line tool condition monitoring and control system in forging processes

journal contribution
posted on 2002-09-09, 00:00 authored by Lingxue KongLingxue Kong, Saeid Nahavandi
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.


History

Journal

Journal of materials processing technology

Volume

125

Issue

126

Pagination

464 - 470

Publisher

Elsevier Science BV

Location

Amsterdam, The Netherlands

ISSN

0924-0136

eISSN

1873-4774

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2002, Elsevier Science B.V.