基于自回归谱外推的全聚焦成像分辨力提升

doi:10.3901/JME.2020.22.008

机械工程学报 ›› 2020, Vol. 56 ›› Issue (22): 8-13,23.doi: 10.3901/JME.2020.22.008

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基于自回归谱外推的全聚焦成像分辨力提升

林莉¹, 史思琪¹, 孙旭¹, 马志远¹, 张晓峰², 刘丽丽³, 金士杰¹

1. 大连理工大学无损检测研究所大连 116085;
2. 核工业工程研究设计有限公司北京 101300;
3. 中国核工业二三建设有限公司北京 101300

收稿日期:2019-11-08 修回日期:2020-07-11 出版日期:2020-11-20 发布日期:2020-12-31
通讯作者: 金士杰(通信作者),男,1984年出生,博士,讲师,硕士研究生导师。主要研究方向为材料无损检测与评价。E-mail:jinshijie@dlut.edu.cn
作者简介:林莉,女,1970年出生,博士,教授,博士研究生导师。主要研究方向为材料无损检测与评价。E-mail:linli@dlut.edu.cn
基金资助:
国家自然科学基金（51905079）和国家重点基础研究发展计划（973计划，2015CB057306）资助项目。

Resolution Enhancement of Total Focusing Imaging Combining with Autoregressive Spectral Extrapolation

LIN Li¹, SHI Siqi¹, SUN Xu¹, MA Zhiyuan¹, ZHANG Xiaofeng², LIU Lili³, JIN Shijie¹

1. NDT & E Laboratory, Dalian University of Technology, Dalian 116085;
2. Nuclear Industry Research and Engineering Co., Ltd., Beijing 101300;
3. China Nuclear Industry 23 Construction Co., Ltd., Beijing 101300

Received:2019-11-08 Revised:2020-07-11 Online:2020-11-20 Published:2020-12-31

摘要/Abstract

摘要： 针对相邻缺陷全聚焦超声成像混叠问题，结合低阶、宽有效频带自回归谱外推方法，压缩超声波时域脉冲宽度，实现亚波长级全聚焦（Total focusing method，TFM）成像分辨力。建立碳钢试块模型，设置两个中心间距1.8 mm，直径1.3 mm圆孔，选用中心频率2.25 MHz，32阵元相控阵探头采集全矩阵数据。针对全矩阵数据，选择自回归阶数为2，信号频谱最大幅值下降14 dB为有效频带，建立自回归模型并外推有效频带外的高频与低频成分，随后对全矩阵数据进行延迟叠加处理和TFM成像。仿真结果表明，低阶、宽有效频带自回归谱外推处理方法具有较高的鲁棒性和准确性，TFM成像后可有效分离中心间距0.7λ（λ为超声波长）圆孔，保留缺陷横向位置信息的同时，定位误差不超过0.73%。对碳钢试块中相同位置及尺寸的圆孔进行试验验证，定位误差不超过1.06%，有效地提高TFM成像分辨力。

关键词: 超声检测, 全聚焦方法, 自回归谱外推, 成像分辨力

Abstract: The defects with close spacing are difficult to be distinguished by ultrasonic imaging with total focusing method(TFM). Autoregressive spectrum extrapolation with low-order and wide effective frequency band is introduced to compress the pulse width in time domain, achieving subwavelength resolution imaging of TFM. Two preset side-drilled holes having 1.8 mm center distance and 1.3 mm diameter in the simulated model of carbon steel are detected by array probe with 2.25 MHz center frequency and 32 elements. Focusing on full matrix capture, taking 2-order and the width of frequency window represented a 14 dB drop from the maximum amplitude of spectrum, and the autoregressive model is established to extrapolate the high-frequency and low-frequency components beyond effective frequency band. Then, the delay-and-sum algorithm is implemented on the processed full matrix capture data to obtain the TFM image. The simulated results indicated that the combination of TFM and autoregressive spectrum extrapolation with low-order and wide effective frequency band had high robustness and accuracy, so as to effectively separate adjacent defects with center distance of 0.7λ (λ is ultrasonic wavelength). The positioning error is no more than 0.73% while retaining the lateral resolution. Finally, side-drilled holes having 1.8 mm center distance are calculated with the same testing parameters in experiment, and the positioning error is no more than 1.06%, effectively improving imaging resolution of TFM.

Key words: ultrasonic detection, total focusing method, autoregressive spectrum extrapolation, imaging resolution

中图分类号:

TG115

林莉, 史思琪, 孙旭, 马志远, 张晓峰, 刘丽丽, 金士杰. 基于自回归谱外推的全聚焦成像分辨力提升[J]. 机械工程学报, 2020, 56(22): 8-13,23.

LIN Li, SHI Siqi, SUN Xu, MA Zhiyuan, ZHANG Xiaofeng, LIU Lili, JIN Shijie. Resolution Enhancement of Total Focusing Imaging Combining with Autoregressive Spectral Extrapolation[J]. Journal of Mechanical Engineering, 2020, 56(22): 8-13,23.

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基于自回归谱外推的全聚焦成像分辨力提升

Resolution Enhancement of Total Focusing Imaging Combining with Autoregressive Spectral Extrapolation

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