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利用新型压电陶瓷薄膜监测玻璃纤维增强混杂层压板的结构健康状况

Monitoring the Structural Health of Glass Fibre-Reinforced Hybrid Laminates Using Novel Piezoceramic Film.

机构信息

Professorship of Computer Engineering, Chemnitz University of Technology, Straße der Nationen 62, 09111 Chemnitz, Germany.

Professorship for Forming and Joining, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz, Germany.

出版信息

Sensors (Basel). 2020 Sep 22;20(18):5428. doi: 10.3390/s20185428.

DOI:10.3390/s20185428
PMID:32972014
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7570600/
Abstract

This work investigates a new generation structural health monitoring (SHM) system for fibre metal laminates (FML) based on an embedded thermoplastic film with compounded piezoceramics, termed piezo-active fibre metal laminate (PFML). The PFML is manufactured using near-series processes and its potential as a passive SHM system is being investigated. A commercial Polyvinylidene fluoride (PVDF) sensor film is used for comparative evaluation of the sensor signals. Furthermore, thermoset and thermoplastic-based FML are equipped with the sensor films and evaluated. For this purpose, static and dynamic three-point bending tests are carried out and the data are recorded. The data obtained from the sensors and the testing machine are compared with the type and time of damage by means of intelligent signal processing. By using a smart sensor system, further investigations are planned which the differentiation between various failure modes, e.g., delamination or fibre breakage.

摘要

本工作研究了一种新一代基于嵌入式热塑薄膜与复合压电器件的纤维金属层板（FML）结构健康监测（SHM）系统，称为压电活性纤维金属层板（PFML）。PFML 采用近系列工艺制造，正在研究其作为被动 SHM 系统的潜力。使用商业聚偏二氟乙烯（PVDF）传感器薄膜对传感器信号进行比较评估。此外，还对热固性和热塑性 FML 进行了配备传感器薄膜的评估。为此，进行了静态和动态三点弯曲测试并记录了数据。通过智能信号处理，将从传感器和试验机获得的数据与损伤的类型和时间进行比较。通过使用智能传感器系统，计划进行进一步的研究，例如区分各种失效模式，例如分层或纤维断裂。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/7b7c8ca413c4/sensors-20-05428-g011.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/11266fabe210/sensors-20-05428-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/25b17b54a4d9/sensors-20-05428-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/14a785bc5d05/sensors-20-05428-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/ac999aa59cd3/sensors-20-05428-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/7b7c8ca413c4/sensors-20-05428-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/ad358bd9e113/sensors-20-05428-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/955d30859118/sensors-20-05428-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/3676fcd95cf3/sensors-20-05428-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/11266fabe210/sensors-20-05428-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/25b17b54a4d9/sensors-20-05428-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/14a785bc5d05/sensors-20-05428-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/ac999aa59cd3/sensors-20-05428-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67ba/7570600/7b7c8ca413c4/sensors-20-05428-g011.jpg

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