Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling

Published 2017 View Full Article

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Title
Study of spindle power data with neural network for predicting real-time tool wear/breakage during inconel drilling
Authors
Keywords
Spindle power data, Digital manufacturing, Neural network, Wear prediction, Drilling, Superalloys
Journal
JOURNAL OF MANUFACTURING SYSTEMS
Volume 43, Issue -, Pages 287-295
Publisher
Elsevier BV
Online
2017-02-10
DOI
10.1016/j.jmsy.2017.01.004

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