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Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques.
Yan Shen
Feng Yang
Mohamed Salahuddin Habibullah
Jhinaoui Ahmed
Ankit Kumar Das
Yu Zhou
Choon Lim Ho
Published in:
J. Intell. Manuf. (2021)
Keyphrases
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tool wear
cutting tool
condition monitoring
machining processes
flank wear
failure prediction
multi sensor
sufficient conditions
machine learning
manufacturing processes
feed rate
remote sensing
computer aided design
machine learning algorithms
artificial intelligence
acoustic emission
real time