Automatic tool state identification in a metal turning operation using MLP neural networks and multivariate process parameters

This paper describes results of the application of feed-forward Multi-Layer Perceptron (MLP) neural networks for cutting tool state identification in a metal turning operation. Test cuts were conducted using P25 carbide inserts with and without wear (i.e. nominally sharp) on EN24 alloy steel. The ac...

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Veröffentlicht in:	International journal of machine tools & manufacture 1998-04, Vol.38 (4), p.343-352
Hauptverfasser:	Dimla, Dimla E, Lister, Paul M, Leighton, Nigel J
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Cutting Exact sciences and technology Industrial metrology. Testing Machining. Machinability Mechanical engineering. Machine design Metals. Metallurgy Production techniques
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