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Measurement of the ultrasonic scattering matrices of near-surface defects using ultrasonic arrays

机译:超声阵列测量近表面缺陷的超声波散射矩阵

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摘要

Ultrasonic arrays have been widely used and developed for defect detection and characterisation over the last 10years. In this paper, the question of how to inspect and characterise near-surface defects that are small with respect to wavelength is addressed. The challenge is to overcome the effect of the proximity of these scattered signals to high-amplitude signals reflected from structural features, such as planar surfaces. Here, a method is proposed to extract the scattered signals from a near-surface defect which overlap with signals from a structural feature in both the time and frequency domains. The extracted signals are then used to generate a scattering coefficient matrix, from which it is possible to characterise the defect. In the proposed method, the location of the defect is first approximately identified from an image. The arrival time difference between the signals from the defect and the nearby planar surfaces for each combination of transmitter and receiver array elements is then calculated. In some cases, the scattered signals can be directly separated in time from the structural features, and in other cases, they are extracted by subtracting the data with reference signals obtained in the absence of a defect. Finally, the proposed method is used to experimentally detect and characterise three different near-surface defects by extracting their corresponding scattering matrices.
机译:超声阵列已被广泛使用和开发用于在最后10年的缺陷检测和表征中。在本文中,解决了如何检查和表征近表面缺陷的问题,该近似缺陷对于波长很小。挑战是克服这些散射信号接近从结构特征(例如平面表面)反射的高幅度信号的影响。这里,提出了一种方法来从近表面缺陷中提取散射信号,该缺陷与时间和频域中的结构特征重叠的近表面缺陷。然后使用提取的信号来产生散射系数矩阵,从中可以表征缺陷。在所提出的方法中,首先从图像中识别缺陷的位置。然后计算来自缺陷的信号与附近的平面表面之间的到达时间差,然后计算发送器和接收器阵列元件的每个组合。在一些情况下,可以从结构特征和在其他情况下,通过在不存在缺陷的情况下获得的参考信号中减去数据来提取它们的散射信号。最后,通过提取它们的相应散射矩阵来使用该方法通过提取它们的相应散射矩阵来实验检测和表征三种不同的近表面缺陷。

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