NDT assessment of bonded assemblies - image optimization for weak bond characterization using ultrasonic array transducer

NDT assessment of bonded assemblies - image optimization for weak bond characterization using ultrasonic array transducer
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粘合组件的无损检测评估 - 使用超声波阵列传感器进行弱粘合表征的图像优化

DOI:
10.1088/1742-6596/1184/1/012002
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发表时间:
2019
期刊:
Conference Series
影响因子:
--
通讯作者:
Polihronov Y
Polihronov Y
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--
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作者:
Polihronov Y

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结构部件界面键的破坏会导致结构完整性的过早丧失。这种缺陷很难用传统的声学检测技术检测出来。我们评估线性超声无损检测(NDT)方法的能力,通过使用一组污染和非污染的键来检测或区分弱亲和键与健康键。超声阵列换能器(UAT)增加了信息含量,因此它们已被用于检测和区分受损键。在检测弱键方面已经进行了大量的研究,但一个实际的、经济有效的、工业上适用的解决方案仍然难以捉摸。关键问题是信号变化很小,因此我们开发了一种迭代测试方法,其中以下每个步骤的实验变化都显着减少:样品制备;数据采集;成像[1,2];特征分析[3,4];描述/分类;解释。我们的研究解决了与UAT测量技术相关的问题,特别是全矩阵捕获(FMC)[1,2]和全聚焦法(TFM)[1,2],时域散射矩阵(衍生)[3,4]提取以及其他相关或衍生方法。本文提出并讨论了如何优化键合线成像,从而提高成像质量和相干性。
Compromised interface bonds in structural components can lead to premature loss of structural integrity. Such defects are very difficult to detect using traditional acoustic inspection techniques. We assess the ability of linear ultrasonic Non-Destructive Testing (NDT) methods to detect or differentiate between weak-kissing bonds from healthy ones, by using a set of contaminated and non-contaminated bonds. An Ultrasonic Array Transducer (UAT) enables increased informational content, hence they have been used to detect and differentiate compromised bonds. Considerable research has been made into detecting weak bonds, but a practical, cost effective and industrially applicable solution remains elusive. The key problem is the signal changes are small, therefore we have developed an iterative testing methodology, in which the experimental variation in each of the following steps is significantly reduced: Sample Preparation; Data Acquisition; Imaging [1, 2]; Feature Analysis [3, 4]; Characterization/Classification; Interpretation. Our research addresses the issues related to UAT measurement techniques, specifically Full Matrix Capture (FMC)[1, 2] and Total Focusing Method (TFM)[1, 2], Scattering Matrix (derived)[3, 4] extraction in time domain, and other related or derived methods. Here the optimization of bondline imaging, resulting in higher quality and coherence of the imaging, is presented and discussed.
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