Surface Roughness Modeling and Prediction by ANN when Drilling Udimet 720

Article deals with design of artificial neural network (ANN) for prediction of the surface roughness as one of the important indicators of machined surface quality. Back propagation neural network was trained and tested for prediction of the machined surface roughness. Cutting conditions, selected m...

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Veröffentlicht in:	Key engineering materials 2014-01, Vol.581, p.366-371
Hauptverfasser:	Vrabel, Marek, Mankova, Ildiko, Beno, Jozef
Format:	Artikel
Sprache:	eng
Schlagworte:	Cutting tool materials Cutting wear Learning theory Materials selection Mathematical models Monitoring Neural networks Nickel base alloys Superalloys Surface roughness
Online-Zugang:	Volltext
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