Modelling and validation of a guided acoustic wave temperature monitoring system
Modelling and validation of a guided acoustic wave temperature monitoring system
The computer modelling of condition monitoring sensors can aide in their development, improve their performance, and allow for the analysis of sensor impact on component operation. This article details the development of a COMSOL model for a guided wave-based temperature monitoring system, with a view to using the technology in the future for the temperature monitoring of nozzle guide vanes, found in the hot section of aeroengines. The model is based on an experimental test system that acts as a method of validation for the model. Piezoelectric wedge transducers were used to excite the S 0 Lamb wave mode in an aluminium plate, which was temperature controlled using a hot plate. Time of flight measurements were carried out in MATLAB and used to calculate group velocity. The results were compared to theoretical wave velocities extracted from dispersion curves. The assembly and validation of such a model can aide in the future development of guided wave based sensor systems, and the methods provided can act as a guide for building similar COMSOL models. The results show that the model is in good agreement with the experimental equivalent, which is also in line with theoretical predictions.
COMSOL, Condition monitoring, Guided waves, Nozzle guide vane, Wedge transducer
Yule, Lawrence
87c4d44f-a50a-4ae4-8084-50de55b9a24c
Zaghari, Bahareh
c24b19e7-513a-4395-8400-6b7361fa8774
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Hill, Martyn
0cda65c8-a70f-476f-b126-d2c4460a253e
6 November 2021
Yule, Lawrence
87c4d44f-a50a-4ae4-8084-50de55b9a24c
Zaghari, Bahareh
c24b19e7-513a-4395-8400-6b7361fa8774
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Hill, Martyn
0cda65c8-a70f-476f-b126-d2c4460a253e
Yule, Lawrence, Zaghari, Bahareh, Harris, Nicholas and Hill, Martyn
(2021)
Modelling and validation of a guided acoustic wave temperature monitoring system.
Sensors, 21 (21), [7390].
(doi:10.3390/s21217390).
Abstract
The computer modelling of condition monitoring sensors can aide in their development, improve their performance, and allow for the analysis of sensor impact on component operation. This article details the development of a COMSOL model for a guided wave-based temperature monitoring system, with a view to using the technology in the future for the temperature monitoring of nozzle guide vanes, found in the hot section of aeroengines. The model is based on an experimental test system that acts as a method of validation for the model. Piezoelectric wedge transducers were used to excite the S 0 Lamb wave mode in an aluminium plate, which was temperature controlled using a hot plate. Time of flight measurements were carried out in MATLAB and used to calculate group velocity. The results were compared to theoretical wave velocities extracted from dispersion curves. The assembly and validation of such a model can aide in the future development of guided wave based sensor systems, and the methods provided can act as a guide for building similar COMSOL models. The results show that the model is in good agreement with the experimental equivalent, which is also in line with theoretical predictions.
Text
sensors-21-07390
- Version of Record
More information
Accepted/In Press date: 4 November 2021
Published date: 6 November 2021
Additional Information:
Funding Information:
Funding: This work was supported by the Lloyds Register Foundation International Consortium of Nanotechnology, University of Southampton DTP fund, and the EPSRC under grant EP/S005463/1 (Better FITT Early detection of contact distress for enhanced performance monitoring and predictive inspection of machines).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
COMSOL, Condition monitoring, Guided waves, Nozzle guide vane, Wedge transducer
Identifiers
Local EPrints ID: 453846
URI: http://eprints.soton.ac.uk/id/eprint/453846
ISSN: 1424-8220
PURE UUID: cf41a316-a9a3-4a4c-9ecb-7e2848a9dbca
Catalogue record
Date deposited: 25 Jan 2022 17:38
Last modified: 17 Mar 2024 04:18
Export record
Altmetrics
Contributors
Author:
Lawrence Yule
Author:
Bahareh Zaghari
Author:
Nicholas Harris
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics