Extending the synthetic aperture focusing algorithm to deal with flat and curved features in NDT

S. Cochran, J. Earnshaw, B. Bargain, K. Kirk
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Abstract

The synthetic aperture focusing (SAF) technique allows exploration of ultrasonic array imaging performance with minimal hardware and it can provide excellent imaging results for point defects, such as fatigue crack tips, commonly found in non-destructive testing (NDT). However, it performs less well when imaging defects which are flat or curved with radii large relative to the ultrasonic wavelength. Here, we report an enhanced time-domain algorithm which can deal with flat and curved defects and which we have termed "synthetic aperture correlation". It is based on processing signals from multiple overlapping subsets of elements from an entire array. The algorithm has roots in SAF, matched filtering, beam steering and biomedical ultrasonic imaging. The data collection process is the same as for SAF and the new algorithm operates entirely in reception, off-line. It has been tested using a 96-element linear array operating at 6 MHz on aluminum test objects. We present simulated and experimental results and compare these with B-scans showing timer-of-flight diffraction (TOFD) characteristics and with conventional SAF. We highlight the advantages of the new algorithm, such as its enhanced capability to deal with noise, and drawbacks such-as increased computational expense.
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扩展了合成孔径聚焦算法以处理无损检测中的平面和曲面特征
合成孔径聚焦(SAF)技术可以在最小的硬件条件下探索超声阵列成像性能,并且可以为点缺陷提供出色的成像结果,例如在无损检测(NDT)中常见的疲劳裂纹尖端。然而,当成像相对于超声波长的半径较大的平坦或弯曲缺陷时,它的表现就不太好了。在这里,我们报告了一种增强的时域算法,它可以处理平坦和弯曲的缺陷,我们称之为“合成孔径相关”。它基于处理来自整个数组元素的多个重叠子集的信号。该算法的基础是自适应滤波、匹配滤波、光束转向和生物医学超声成像。数据收集过程与SAF相同,新算法完全在接收中离线运行。它已在铝制测试对象上使用工作频率为6 MHz的96元线性阵列进行了测试。我们给出了模拟和实验结果,并将其与显示飞行时间衍射(TOFD)特征的b扫描和常规SAF进行了比较。我们强调了新算法的优点,如其处理噪声的能力增强,以及缺点,如增加计算费用。
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