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García Plaza, E, Chen, X and Ait Ouarab, L (2019) Abrasive Feature Related Acoustic Emission in Grinding. 2019 25th International Conference on Automation and Computing (ICAC).
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Abstract
Grinding monitoring enables the online supervision of crucial aspects of the process, such as tool state, surface quality, and dimensional accuracy; and possesses a great advantage over traditional post-process quality control techniques by reducing costs and inspection times. Such an advantage relies on a good interpretation of monitored signals in relation to grinding behaviours. This paper presents an experimental study on acoustic emission (AE) features in abrasive grinding scratch experiments. The acoustic emission signals are analysed in both the time and frequency domains. The results show that the signal feature extraction in the frequency domain gives excellent indication in correlation to the surface creation with different abrasive geometrical characteristics. The AE features in the frequency range between 0 and 200 kHz show good correlation with the characteristics of interaction between abrasive and workpiece in scratching tests and could be an ideal data source for the online monitoring of surface creation in grinding processes.
| Item Type: | Article |
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| Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | IEEE |
| Date Deposited: | 11 Sep 2019 10:20 |
| Last Modified: | 01 Jul 2022 11:30 |
| DOI or ID number: | 10.23919/IConAC.2019.8895243 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/11321 |
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