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Drill wear monitoring using neural networks

โœ Scribed by S.C. Lin; C.J. Ting


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
600 KB
Volume
36
Category
Article
ISSN
0890-6955

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APPLICATION OF NEURAL NETWORKS TO FLANK
โœ J.H. Lee; D.E. Kim; S.J. Lee ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 447 KB

Tool wear sensing plays an important role in the optimisation of tool exchange and tip geometry compensation during automated machining in flexible manufacturing systems. The focus of this work is to develop a reliable method to predict flank wear during a turning process. A neural network scheme i