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PERFORMANCE OF ULTRASONIC IMAGING WITH FREQUENCY DOMAIN SAFT (F-SAFT)

机译:频域SAFT超声成像的性能(F-SAFT)

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The time and Fourier domain Synthetic Aperture Focusing Technique (SAFT and FSAFT) have been used to improve both sensitivity and lateral resolution of ultrasonic NDT. Following acquisition of signals over the surface of the tested piece, SAFT identifies a defect by summing all the signals within a certain area (the aperture) after giving proper time-delays. FSAFT, although using the same data, is based instead on the angular spectrum approach and utilizes a backpropagation algorithm to find the field in any plane inside the material. F-SAFT provides an accurate and time-efficient algorithm for 3-D reconstruction. We have introduced several improvements to the F-SAFT algorithm and we have coupled it to laser-ultrasonics. Improvements include temporal deconvolution to enhance both axial and lateral resolutions, control of the aperture to improve signal-to-noise ratio, as well as spatial interpolation in each sub-surface plane. The actual performance of F-SAFT is investigated for imaging simulated and real defects in several applications such as the detection of inclusions in steel slabs, visualization of stress corrosion cracks and delaminations along curved interfaces.
机译:时间和傅里叶域合成孔径聚焦技术(SAFT和FSAFT)已被用于改善超声波NDT的灵敏度和横向分辨率。在在测试件的表面上获取信号之后,SAFT通过在给出适当的时延之后求解某个区域(孔径)内的所有信号来识别缺陷。 FSAFT,但是使用相同的数据,而是基于角频谱方法,并利用反向化算法在材料内部的任何平面中找到该字段。 F-SAFT为3-D重建提供了一种准确且时间效率的算法。我们对F-SAFT算法引入了几种改进,我们已经将其耦合到激光超声波。改进包括时间去卷积以增强轴向和横向分辨率,控制孔径以提高信噪比,以及每个子表面平面中的空间插值。研究了F-SAFT的实际性能,用于在几种应用中进行成像和实际缺陷,例如钢板中的夹杂物检测,沿弯曲接口的应力腐蚀裂缝和分层的可视化。

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