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Optimal Extraction of Ultrasonic Scattering Features in Coarse Grained Materials

机译:粗粒材料超声波散射特征的最佳提取

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摘要

Ultrasonic array imaging is used in nondestructive testing for the detection and characterization of defects. The scattering behavior of any feature can be described by a matrix of scattering coefficients, called the scattering matrix. This information is used for characterization, and contrary to image-based analysis, the scattering matrix allows the characterization of defects at the subwavelength scale. However, the defect scattering coefficients are, in practice, contaminated by other nearby scatterers or significant structural noise. In this context, an optimal procedure to extract scattering features from a selected region of interest in a beamformed image is here investigated. This work proposes two main strategies to isolate a target scatterer in order to recover exclusively the time responses of the desired scatterer. In this article, such strategies are implemented in delay-and-sum and frequency-wavenumber forms and optimized to maximize the extraction rate. An experimental case in a polycrystalline material shows that the suggested procedures provide a rich frequency spectrum of the scattering matrix and are readily suited to minimize the effects of surrounding scattering noise. In doing so, the ability to deploy imaging methods that rely on the scattering matrix is enabled.
机译:超声阵列成像用于非破坏性测试,用于检测和表征缺陷。可以通过称为散射矩阵的散射系数矩阵来描述任何特征的散射行为。该信息用于表征,并且与基于图像的分析相反,散射矩阵允许在子波长尺度处表征缺陷。然而,在实践中,缺陷散射系数由其他附近的散射体或显着的结构噪声污染。在这种情况下,这里研究了从波束成形图像中提取来自所选择的感兴趣区域的散射特征的最佳过程。这项工作提出了两个主要策略来隔离目标散射体,以便专门恢复所需散射体的时间响应。在本文中,这种策略在延迟和总和和频率 - 波数形成并优化以最大化提取率。在多晶材料中的实验情况表明,建议的程序提供了散射基质的富频谱,并且容易最大限度地减少周围散射噪声的影响。在这样做时,启用能够部署依赖散射矩阵的映像方法的能力。

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