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Tool-wear prediction using artificial neural networks

✍ Scribed by E.O. Ezugwu; S.J. Arthur; E.L. Hines


Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
513 KB
Volume
49
Category
Article
ISSN
0924-0136

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TOOL WEAR PREDICTION FROM ACOUSTIC EMISS
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We examine the application of an arti"cial neural network to classi"cation of tool wear states in face milling. The input features were derived from measurements of acoustic emission during machining and topography of the machined surfaces. Five input features were applied to the back-propagating ne