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导波式声波温度监测系统的建模与验证。

Modelling and Validation of a Guided Acoustic Wave Temperature Monitoring System.

机构信息

Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK.

School of Aerospace, Transport and Manufacturing, Cranfield University, Bedford MK43 0AL, UK.

出版信息

Sensors (Basel). 2021 Nov 6;21(21):7390. doi: 10.3390/s21217390.

DOI:10.3390/s21217390
PMID:34770696
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8588246/
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 S0 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.

摘要

对状态监测传感器的计算机建模可以辅助其开发，提高其性能，并允许分析传感器对部件运行的影响。本文详细介绍了一种基于导波的温度监测系统的 COMSOL 模型的开发，旨在将来用于航空发动机热端的喷嘴导向叶片的温度监测。该模型基于一个实验测试系统，该系统作为模型的验证方法。压电楔形换能器用于激励铝板中的 S0 Lamb 波模式，该模式使用热板进行温度控制。飞行时间测量在 MATLAB 中进行，并用于计算群速度。结果与从频散曲线中提取的理论波速进行了比较。这种模型的组装和验证可以辅助未来基于导波的传感器系统的开发，并且提供的方法可以作为构建类似 COMSOL 模型的指南。结果表明，该模型与实验等效模型非常吻合，这也符合理论预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/0131d5041b06/sensors-21-07390-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/308ef7b2c171/sensors-21-07390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/2f070851223f/sensors-21-07390-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/40bd68d58145/sensors-21-07390-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/ec862f0ccf0a/sensors-21-07390-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/c2235b611807/sensors-21-07390-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/a2e0952815c7/sensors-21-07390-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/a0209b2aa4c1/sensors-21-07390-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/3440319d44f6/sensors-21-07390-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/b458a5d70300/sensors-21-07390-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/0131d5041b06/sensors-21-07390-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/308ef7b2c171/sensors-21-07390-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/2f070851223f/sensors-21-07390-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/40bd68d58145/sensors-21-07390-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/ec862f0ccf0a/sensors-21-07390-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/c2235b611807/sensors-21-07390-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/a2e0952815c7/sensors-21-07390-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/a0209b2aa4c1/sensors-21-07390-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/3440319d44f6/sensors-21-07390-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/b458a5d70300/sensors-21-07390-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bbf5/8588246/0131d5041b06/sensors-21-07390-g010.jpg

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