用加权全聚焦法对粗晶钢缺陷进行高分辨率超声成像

Jiawei Zhang, J. Jiao, Xiang Gao, Bin Wu, C. He, Changhua Chen
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引用次数: 0

摘要

粗粒材料的超声检测受到高强度散射噪声的强烈影响。此外,传统全聚焦法成像的信噪比(SNR)和空间分辨率较低。在这项研究中,我们专注于从全矩阵捕获数据集重建高分辨率超声图像。将基于逆问题的方法与传统的TFM相结合,提出了一种加权TFM图像来检测粗粒钢的缺陷。利用仿真和实验得到的全矩阵数据对缺陷进行了图像处理。仿真和实验结果表明,加权全聚焦方法能显著提高粗晶钢超声成像的信噪比,提高成像分辨率,并能以小于瑞利准则的中心距离分辨出相邻缺陷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-resolution ultrasonic imaging of the defects in coarse-grained steel by a weighted total focusing method
Ultrasonic testing of coarse-grained materials is strongly influenced by high-level scattering noise. In addition, the signalto-noise ratio (SNR) and spatial resolution of imaging by the traditional total focusing method (TFM) are relatively low. In this study, we focused on the reconstruction of high-resolution ultrasonic images from full matrix capture datasets. A weighted TFM image by combining the inverse problem-based method and traditional TFM is proposed to detect defects in coarse-grained steel. The proposed method was used to image defects with the full matrix data obtained through simulations and experiments. The simulation and experimental results show that the weighted total focusing method can significantly improve the SNR of ultrasonic imaging in coarse-grained steel and, moreover, it can improve the resolution of imaging and distinguish adjacent defects with a centre distance less than the Rayleigh criteria.
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