Dissociation artificial neural network for tool wear estimation in CNC milling

• 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
• Institution: Universiti Tenaga Nasional

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...