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Measurements of wear and acoustic emission from fuel-wetted surfaces

✍ Scribed by R.J. Boness

Book ID
103480861
Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
365 KB
Volume
162-164
Category
Article
ISSN
0043-1648

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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