Processing acoustic emission signal data for characterising cutting tool wear and chip management

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/14048

Title:	Processing acoustic emission signal data for characterising cutting tool wear and chip management
Authors:	Messaritis, Vassilios Borthwick, W. K.D.
Major Field of Science:	Engineering and Technology
Field Category:	Mechanical Engineering
Keywords:	Computer - Applications;Metal cutting - Chip Formation;Wear of materials - Acoustic Emission Testing
Issue Date:	1-Dec-1986
Source:	International Conference on Computer-Aided Production Engineering, 1986, Edinburgh, Scotland
Conference:	International Conference on Computer-Aided Production Engineering
Abstract:	The paper is concerned with monitoring tool wear using Acoustic Emission (A. E. ) sensors. The sensitivity of A. E. to chip form is substantiated. It is shown that strain rate is a predominant parameter governing A. E. activity in metal cutting. The semi-empirical cutting theory due to Oxley and Hastings successfully predicts trends in the A. E. r. m. s. signal for a variety of semi-orthogonal cutting conditions and offers potential for development of a computer based tool wear monitoring system.
URI:	https://hdl.handle.net/20.500.14279/14048
Rights:	© Elsevier
Type:	Conference Papers
Affiliation :	University of Dundee
Publication Type:	Peer Reviewed
Appears in Collections:	Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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