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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