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使用脉冲压缩热成像和空气耦合超声检测聚合物烧蚀材料中的分层

Delamination Detection in Polymeric Ablative Materials Using Pulse-Compression Thermography and Air-Coupled Ultrasound.

作者信息

Laureti Stefano, Khalid Rizwan Muhammad, Malekmohammadi Hamed, Burrascano Pietro, Natali Maurizio, Torre Luigi, Rallini Marco, Puri Ivan, Hutchins David, Ricci Marco

机构信息

Department of Engineering, University of Perugia, Polo Scientifico Didattico di Terni, Strada di Pentima 4, 05100 Terni, Italy.

Department of Civil and Environmental Engineering, University of Perugia, Polo Scientifico Didattico di Terni, Strada di Pentima 4, 05100 Terni, Italy.

出版信息

Sensors (Basel). 2019 May 13;19(9):2198. doi: 10.3390/s19092198.

DOI:10.3390/s19092198
PMID:31086005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6540291/
Abstract

Ablative materials are used extensively in the aerospace industry for protection against high thermal stresses and temperatures, an example being glass/silicone composites. The extreme conditions faced and the cost-risk related to the production/operating stage of such high-tech materials indicate the importance of detecting any anomaly or defect arising from the manufacturing process. In this paper, two different non-destructive testing techniques, namely active thermography and ultrasonic testing, have been used to detect a delamination in a glass/silicone composite. It is shown that a frequency modulated chirp signal and pulse-compression can successfully be used in active thermography for detecting such a delamination. Moreover, the same type of input signal and post-processing can be used to generate an image using air-coupled ultrasound, and an interesting comparison between the two can be made to further characterise the defect.

摘要

烧蚀材料在航空航天工业中被广泛用于抵御高热应力和高温,玻璃/硅复合材料就是一个例子。这类高科技材料在生产/运行阶段面临的极端条件以及成本风险表明,检测制造过程中出现的任何异常或缺陷至关重要。在本文中,两种不同的无损检测技术,即主动热成像和超声检测,被用于检测玻璃/硅复合材料中的分层。结果表明,调频线性调频信号和脉冲压缩可成功用于主动热成像以检测此类分层。此外,相同类型的输入信号和后处理可用于通过空气耦合超声生成图像,并且可以对两者进行有趣的比较以进一步表征缺陷。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/52c008835c4e/sensors-19-02198-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/2db907dc1101/sensors-19-02198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/e36b5b717d35/sensors-19-02198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/57e320d047b9/sensors-19-02198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/54c9ae6f2bdd/sensors-19-02198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/f7b7935d485c/sensors-19-02198-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/047c98d28562/sensors-19-02198-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/3cefc9d34e7a/sensors-19-02198-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/182b0a2ff90d/sensors-19-02198-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/78ee7034397d/sensors-19-02198-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/52c008835c4e/sensors-19-02198-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/2db907dc1101/sensors-19-02198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/e36b5b717d35/sensors-19-02198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/57e320d047b9/sensors-19-02198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/54c9ae6f2bdd/sensors-19-02198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/f7b7935d485c/sensors-19-02198-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/047c98d28562/sensors-19-02198-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/3cefc9d34e7a/sensors-19-02198-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/182b0a2ff90d/sensors-19-02198-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/78ee7034397d/sensors-19-02198-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0772/6540291/52c008835c4e/sensors-19-02198-g010.jpg

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