Title of article
ANN tool wear modelling in the machining of nickel superalloy industrial products
Author/Authors
D’Addona، نويسنده , , D. and Segreto، نويسنده , , T. and Simeone، نويسنده , , A. and Teti، نويسنده , , R.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
5
From page
33
To page
37
Abstract
Cognitive modelling of tool wear progress based on neural network supervised training, derived from investigational tool wear measurements during industrial turning of Inconel 718 aircraft engine products, is employed to obtain a dependable trend of tool wear curves for optimal utilisation of tool life and step increase of productivity, while preserving the surface integrity of the machined parts.
Keywords
turning , Inconel 718 , Tool Wear , Artificial neural networks
Journal title
CIRP Journal of Manufacturing Science and Technology
Serial Year
2011
Journal title
CIRP Journal of Manufacturing Science and Technology
Record number
2270723
Link To Document