Holdings: Dissociation artificial neural network for tool wear estimation in CNC milling

Dissociation artificial neural network for tool wear estimation in CNC milling

Tool wear in CNC milling is a gradual process which significantly affects product quality. Left unmonitored, it could increase risks of tool breakage, leading to losses due to scrap and equipment damage. A modular neural network (MNN), the dissociation artificial neural network (Dis-ANN), was propos...

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Bibliographic Details
Main Authors:	Wong S.Y., Chuah J.H., Yap H.J., Tan C.F.
Other Authors:	57216689998
Format:	Article
Published:	Springer Science and Business Media Deutschland GmbH 2024
Subjects:	CNC milling Modular neural network Remaining useful life Tool condition monitoring Tool wear Condition monitoring Cutting tools Dissociation Milling (machining) Neural networks Wear of materials CNC-milling Data challenges Input features Modular neural networks Products quality Remaining useful lives Tool wear estimations Workpiece Textures
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Dissociation artificial neural network for tool wear estimation in CNC milling

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