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Synthetic aperture imaging of contact acoustic nonlinearity to visualize the closing interfaces using tone-burst ultrasonic waves

机译:接触声非线性的合成孔径成像,使用色调突发超声波可视化关闭界面

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Contact acoustic nonlinearity (CAN) effect was visualized by synthetic aperture focusing technique (SAFT) via a signal-processing method for acoustic nonlinearity imaging. The proposed signal-processing technique, named Synthetic Aperture Imaging of Acoustic Nonlinearity (SAIAN), allows the SAFT to visualize CAN that is difficult to be visualized by linear ultrasonic imaging. Using the SAIAN algorithm, the fundamental and second-order harmonic frequency components are extracted from the tone-burst wave signal and then these component signals are transformed into pulse-like signals. From the pulse-like signals, the CAN parameter signals can be obtained in the form of pulses, which allows CAN to be visualized by SAFT. In order to verify the effectiveness of the SAIAN, the nonlinear ultrasonic measurements using tone-burst waves were conducted to visualize closing interfaces. As a result, CAN effect appeared at partially closed part of a contacting interface in the images of the CAN signals converted by the SAIAN; on the contrary, the CAN feature was not shown in linear ultrasonic images based on the fundamental frequency component. These results support that the SAIAN is a useful signal processing for acoustic nonlinearity visualization that improves the probability of detection of closing interfaces and the accuracy in crack sizing. (C) 2018 Elsevier Ltd. All rights reserved.
机译:通过用于声学非线性成像的信号处理方法,通过合成孔径聚焦技术(SAFT)可视化接触声非线性(CAN)效应。所提出的信号处理技术,命名的声学非线性(Saian)的合成孔径成像,允许SAFT通过线性超声成像难以可视化的可视化。使用Saian算法,从色调突发波信号中提取基本和二阶谐波频率分量,然后将这些分量信号变为脉冲状信号。从脉冲样信号,可以以脉冲的形式获得CAN参数信号,其允许可以通过SAFT可视化。为了验证Saian的有效性,进行了使用色调突发波的非线性超声测量以可视化关闭接口。结果,可以在萨安转换的CAN信号的图像的图像的图像中的部分闭合部分处于部分封闭的部分。相反,可以基于基基频率分量在线性超声图像中显示CAN功能。这些结果支持Saian是用于声学非线性可视化的有用信号处理,其提高了闭合界面检测的概率和裂缝尺寸的准确性。 (c)2018年elestvier有限公司保留所有权利。

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