基于均方根速度的水浸超声合成孔径聚焦成像

发布时间：2018-05-25 14:20

本文选题：合成孔径聚焦成像 + 水浸超声检测　；参考：《仪器仪表学报》2016年02期

【摘要】：为提高水浸超声合成孔径聚焦成像的计算效率,采用均方根速度模型进行时域合成孔径聚焦成像。通过均方根速度模型求解多层介质中声束传播时间,并与斯涅耳定律求解的精确传播时间进行对比,验证均方根速度模型的精度;以钢试块的水浸超声检测为例,研究了B扫查成像、基于射线跟踪技术和基于均方根速度的合成孔径聚焦成像,提取了3种方法下缺陷孔沿横向中心轴线及纵向中心轴线处的电压幅值。分析结果表明,两种合成孔径聚焦成像方法的成像分辨率及信噪比基本一致,基于均方根速度的合成孔径聚焦成像效率提高约15倍,为水浸超声检测提供了一种高效的合成孔径聚焦成像方法。
[Abstract]:In order to improve the computational efficiency of water-immersed ultrasonic synthetic aperture focusing imaging, the root mean square velocity model was used for time-domain synthetic aperture focusing imaging. The root-mean-square velocity model is used to solve the propagation time of sound beam in multilayer medium, and compared with the accurate propagation time solved by Sniel's law, the accuracy of RMS velocity model is verified. In this paper, B-scan imaging, ray-tracing technique and SAR focused imaging based on root mean square velocity (RMS) are studied. The voltage amplitudes of defect holes along the transverse and longitudinal central axes are extracted from three methods. The analysis results show that the imaging resolution and SNR of the two methods are basically the same, and the SAR focused imaging efficiency based on root mean square velocity is increased by about 15 times. It provides an efficient synthetic aperture focusing imaging method for water immersion ultrasonic detection.
【作者单位】：长沙理工大学特殊环境道路工程湖南省重点实验室;工程车辆安全性设计与可靠性技术湖南省重点实验室;中航工业北京航空材料研究院;
【基金】：国家自然科学基金(51205031) 湖南省自然科学基金(2015JJ4004) 湖南省高校创新平台开放基金(14K003) 特殊环境道路工程湖南省重点实验室开放基金(kfj130404) 湖南省研究生科研创新基金(CX2015B357)项目资助
【分类号】：TG115.285

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