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Imaging of Subsurface Defects with Surface Wave SAFT Based on an Array Pickup EMAT

International Journal of Applied Electromagnetics and Mechanics(2024)

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Abstract
It is necessary to detect subsurface defects for a key metallic structural component especially a multilayer coating to ensure its structural integrity. In this paper, an imaging algorithm using the synthetic aperture focusing technique (SAFT) is developed for processing surface wave signals of array pickup electromagnetic acoustic transducer (EMAT) to improve its signal-to-noise ratio and detectability of subsurface defects. In addition, an array pickup unit of surface wave EMAT with gap configuration is proposed to receive multi-channel surface wave signals and is optimized by adjusting its coil configuration such as number, spacing and detection distance in order to obtain better SAFT imaging result. Both simulation and measured EMAT surface wave signals are used for the defect imaging and all the results verified the validity and the efficiency of the proposed method.
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Updated SAFT,array pickup EMAT,surface wave,subsurface defects
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要点】:本文提出了一种基于阵列拾取电磁声表面波传感器(EMAT)合成孔径聚焦技术(SAFT)的地下缺陷成像算法,以提升信号信噪比和地下缺陷的检测能力。

方法】:研究采用优化后的阵列拾取单元配置,通过调整线圈数量、间距和检测距离,来接收多通道表面波信号,进而利用SAFT算法处理信号。

实验】:通过模拟和实际测量的EMAT表面波信号进行缺陷成像,实验结果验证了所提方法的有效性和效率。