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Investigation into distinguishing between small volumetric and crack-like defects using multi-view total focusing method images

机译:使用多视图总聚焦方法图像研究区分小体积缺陷和类似裂纹的缺陷

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摘要

In the post-processing of ultrasonic array full matrix capture (FMC) data from an immersion inspection to image a region of interest (ROI), the total focusing method (TFM) can be used to generate multiple image views for the same region through exploiting reflections off geometric features, mode conversions at interfaces and using different paths for transmitted and received waves. They are termed as the multi-view TFM (MTFM) images. In this paper, the feasibility of using MTFM images to distinguish between small volumetric and crack-like defects is investigated through the analysis of the images from various simulated and experimentally-measured FMC array data sets. It is found that the presence of a defect of a particular type will typically be observable in some or all of the views with different image amplitudes. Different types of defect have large amplitudes in different views and this can be used to classify the defect type. Finally, the use of this approach is demonstrated in the experimental inspection of samples.
机译:在浸入式检查的超声阵列全矩阵捕获(FMC)数据的后处理中,对感兴趣区域(ROI)进行成像时,总聚焦方法(TFM)可用于通过开发利用同一区域生成多个图像视图几何特征的反射,界面处的模式转换以及对发送和接收的波使用不同的路径。它们被称为多视图TFM(MTFM)图像。在本文中,通过分析来自各种模拟和实验测量的FMC阵列数据集的图像,研究了使用MTFM图像区分小体积缺陷和裂纹状缺陷的可行性。发现在具有不同图像幅度的一些或全部视图中通常可以观察到特定类型缺陷的存在。不同类型的缺陷在不同的视图中具有较大的幅度,这可用于对缺陷类型进行分类。最后,在样品的实验检查中证明了这种方法的使用。

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