A Hybrid Model for Tool Condition Monitoring and Optimal Tool Management

Ying Xue Yao; Y. Lu; Zhe Jun Yuan; J.Y. Hu

doi:10.4028/www.scientific.net/MSF.471-472.865

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Collision and Determination of Workpiece Location in Parallel Mechanism Type Machine Tools
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Numerical Simulation of Sheet Deforming Caused by Laser Shocking
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A Hybrid Model for Tool Condition Monitoring and Optimal Tool Management
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Direct Joining between Ethylene Propylene Rubber and Cast Iron with Functional Polymeric Nanofilm
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Study on the Machining Technology of Composite Materials
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Research on Direct Laser Sintering of Ni-Alloy Powder and Microstructure Feature
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Laser Driven Substructural Modification of Austenitic Stainless Steel
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HomeMaterials Science ForumMaterials Science Forum Vols. 471-472A Hybrid Model for Tool Condition Monitoring and...

A Hybrid Model for Tool Condition Monitoring and Optimal Tool Management

Abstract:

This paper introduces a new hybrid model for tool condition monitoring (TCM) and optimal tool management (OTM) in end milling operation. The model includes a wavelet fuzzy neural network with acoustic emission (AE) and a model of fuzzy classification of tool wear state with the detected cutting parameters supported by cutting database. The results estimated by cutting conditions and detected signals are fused by artificial neural network (ANN) so as to facilitate effective tool replacement at a proper state or time. The validity and reliability of the method are verified by experimental results.