基于自适应压缩感知的波纹复合板界面光声快速成像方法研究

doi:10.3901/JME.260106

机械工程学报 ›› 2026, Vol. 62 ›› Issue (4): 61-74.doi: 10.3901/JME.260106

• 仪器科学与技术 • 上一篇

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基于自适应压缩感知的波纹复合板界面光声快速成像方法研究

张彦杰^1,2,3, 徐智慧¹, 李彧⁴, 王涛^1,2,3, 杨荃⁵, 蒋瑞澎¹, 王伟⁶

1. 太原理工大学机械工程学院太原 030024;
2. 先进金属复合材料成形技术与装备教育部工程研究中心太原 030024;
3. 金属成形技术与重型装备全国重点实验室西安 710018;
4. 东南大学土木工程学院南京 211189;
5. 北京科技大学工程技术研究院北京 100083;
6. 国网山西省电力公司电力科学研究院太原 030002

收稿日期:2025-02-01 修回日期:2025-08-22 发布日期:2026-04-02
作者简介:张彦杰,男,1990年出生,博士,讲师,硕士研究生导师。主要研究方向为先进无损检测与材料表征技术。E-mail:zhangyanjie@tyut.edu.cn
王涛(通信作者),男,1985年出生,博士,教授,博士研究生导师。主要研究方向为金属塑性成形、轧制工艺与装备。E-mail:twang@tyut.edu.cn
基金资助:
国家自然科学基金(52275362)、山西省重点研发计划(202302010101006)、海安太原理工大学先进制造与智能装备产业研究院开放研发(2024HA-TYUTKFYF001)和新疆智能装备研究院定向委托科研(XJYJY2025009)资助项目。

Research on Rapid Photoacoustic Imaging Method of Corrugated Composite Plate Interface Based on Adaptive Compressive Sensing

ZHANG Yanjie^1,2,3, XU Zhihui¹, LI Yu⁴, WANG Tao^1,2,3, YANG Quan⁵, JIANG Ruipeng¹, WANG Wei⁶

1. College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024;
2. Engineering Research Center of Advanced Metal Composites Forming Technology and Equipment, Ministry of Education, Taiyuan 030024;
3. National Key Laboratory of Metal Forming Technology and Heavy Equipment, Xi'an 710018;
4. School of Civil Engineering, Southeast University, Nanjing 211189;
5. Institute of Engineering Technology, University of Science and Technology Beijing, Beijing 100083;
6. State Grid Shanxi Electric Power Research Institute, Taiyuan 030002

Received:2025-02-01 Revised:2025-08-22 Published:2026-04-02

摘要/Abstract

摘要： 波纹辊轧制工艺中复杂界面缺陷的高效检测是提升金属复合板质量的关键挑战。针对传统超声成像方法在波纹界面检测中存在的位置偏差和效率不足问题，提出一种融合自适应压缩感知与改进相移迁移法的光声成像新方法。通过构建分段常数波速函数模型和加窗计算方法，有效解决了传统相移迁移法在第二层介质底面成像的失真问题。创新性地引入基于信号排列熵的自适应采样策略，实现压缩感知技术在保持成像质量前提下的数据采集量优化。试验结果表明，在使用分段数为6，采样率为0.3的自适应压缩感知方法后，计算时间减少82%，重构信号标准差降低82%，成像结果PSNR值提升5.7%。该方法在成像精度和速度方面均优于传统算法，为复杂界面金属复合板的快速成像检测提供新的思路。

关键词: 波纹复合板, 激光超声, 界面成像, 压缩感知

Abstract: The efficient detection of complex interface defects in corrugated rolling processes is a key challenge for improving the quality of metal clad plates. Traditional ultrasonic imaging methods suffer from location deviation and insufficient efficiency when detecting corrugated interfaces. To address these issues, a new photoacoustic imaging method that integrates adaptive compressed sensing and an improved phase-shift migration method is proposed. By constructing a piecewise constant velocity function model and using a windowed calculation method, the imaging distortion problem at the bottom surface of the second medium, which is common in traditional phase-shift migration methods, is effectively resolved. An innovative adaptive sampling strategy based on signal permutation entropy is introduced to optimize data acquisition while maintaining imaging quality using compressed sensing technology.The experimental results show that compared with the traditional method, this method can correct the position and shape deviations in the imaging of the bottom surface of the second medium by the traditional method. After using the adaptive compressive sensing method with a segment number of 6 and a sampling rate of 0.3, the calculation time is reduced by 82%, the standard deviation of the reconstructed signal is reduced by 82%, and the PSNR value of the imaging result is increased by 5.7%. This method is superior to the traditional algorithm in both imaging accuracy and speed, providing a new idea for the rapid imaging detection of metal composite plates with complex interfaces.

Key words: corrugated composite plate, laser ultrasonic, interface imaging, compressed sensing

中图分类号:

TG156

张彦杰, 徐智慧, 李彧, 王涛, 杨荃, 蒋瑞澎, 王伟. 基于自适应压缩感知的波纹复合板界面光声快速成像方法研究[J]. 机械工程学报, 2026, 62(4): 61-74.

ZHANG Yanjie, XU Zhihui, LI Yu, WANG Tao, YANG Quan, JIANG Ruipeng, WANG Wei. Research on Rapid Photoacoustic Imaging Method of Corrugated Composite Plate Interface Based on Adaptive Compressive Sensing[J]. Journal of Mechanical Engineering, 2026, 62(4): 61-74.

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基于自适应压缩感知的波纹复合板界面光声快速成像方法研究

Research on Rapid Photoacoustic Imaging Method of Corrugated Composite Plate Interface Based on Adaptive Compressive Sensing

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