基于空频去混叠的CFRP材料纤维纹路涡流成像

doi:10.3901/JME.2022.04.014

机械工程学报 ›› 2022, Vol. 58 ›› Issue (4): 14-21.doi: 10.3901/JME.2022.04.014

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基于空频去混叠的CFRP材料纤维纹路涡流成像

程军^1,2,3, 游勇³, 汪步云^1,2, 许德章^1,2, 余成³, 杨继全³

1. 安徽工程大学机械工程学院芜湖 241000;
2. 安普机器人产业技术研究院有限公司芜湖 241007;
3. 南京师范大学电气与自动化工程学院南京 210023

收稿日期:2021-05-11 修回日期:2021-12-11 出版日期:2022-02-20 发布日期:2022-04-30
通讯作者: 汪步云(通信作者),男,1984年出生,博士,副教授,硕士研究生导师。主要研究方向为人机交互与机器人控制。E-mail:ayun@ahpu.edu.cn
作者简介:程军,男,1986年出生,博士,副教授。主要研究方向为电磁无损检测。E-mail:chengjun@ahpu.edu.cn
基金资助:
国家自然科学基金(51605229)、国家重点实验室开放课题(MCMS-E-0519G03)、教育部重点实验室开放课题(GDSC202011)、安徽省高校自然科学研究重大项目(KJ2018ZD014)、安徽工程大学创新团队、安徽省重点研发计划(202004a05020013)和安徽工程大学科技成果转化引导基金资助项目。

Eddy Current Imaging of Fiber Textures in CFRP Composite Based on Spatial Frequency Domain De-aliasing Method

CHENG Jun^1,2,3, YOU Yong³, WANG Buyun^1,2, XU Dezhang^1,2, YU Cheng³, YANG Jiquan³

1. School of Mechanical Engineering, Anhui Polytechnic University, Wuhu 241000;
2. Ahpu Robot Industrial Technology Research Institute, Wuhu 241007;
3. School of Electric and Automation Engineering, Nanjing Normal University, Nanjing 210023

Received:2021-05-11 Revised:2021-12-11 Online:2022-02-20 Published:2022-04-30

摘要/Abstract

摘要： 空间分辨率是图像质量评价的一项关键性指标，在涡流成像技术的应用中非常重要。针对碳纤维增强树脂基复合材料(Carbon fiber reinforced polymer，CFRP)电涡流成像中欠采样频谱混叠引起的纤维纹路粗大和模糊难以辨别等问题，研究基于空频域去混叠的涡流图像增强方法，显著提高图像的空间分辨率和对纤维排布以及缺陷的检测精度。建立CFRP层合板的细观电磁仿真模型，揭示涡流纹路成像机理和周期性结构信号的混叠规律；接下来对涡流探头的点扩散函数进行研究和估计，结合信号波形特征提取，评价不同结构尺寸发射-接收(Transmitter-Receiver，T-R)型探头图像的空间分辨率；提出基于点扩散函数和傅里叶变换的逆卷积纹路细化聚焦方法，以实现对CFRP层合板中纤维方向和铺层缺陷的高精度成像，并达到图像反映复合材料缺陷真实形状的目的。

关键词: 涡流检测, 碳纤维复合材料, 纹路成像, 点扩散函数, 逆卷积

Abstract: The spatial resolution is a key indicator of image quality and is of great importance in the application of eddy current imaging technology. Concerning the aliasing problems including coarse and fuzzy fiber textures in eddy current imaging of carbon fiber reinforced polymer(CFRP) composites, the spatial-frequency domain image enhancement method is studied to significantly improve the detection accuracy of meso-structures and defects such as the fiber direction, in-plane waviness, wrinkles, and gaps in CFRP laminates. In this paper, the mesoscopic electromagnetic simulation model of CFRP laminate is firstly established to reveal the eddy current imaging mechanism and the aliasing law of periodic structure signals. Then the point spread function (PSF) of the eddy current probe is studied and estimated, and the signal feature extraction technology is used to evaluate the spatial resolution of the T-R probes with different sizes. Finally, a texture thinning and focusing method based on PSF and fast Fourier transform (FFT) de-convolution is developed to realize high-precision imaging of fiber direction and layup defects in CFRP laminates, and to achieve the purpose of reflecting the true shape of defects in composite structures.

Key words: eddy current testing, CFRP, texture imaging, point spread function, deconvolution

中图分类号:

TG156

程军, 游勇, 汪步云, 许德章, 余成, 杨继全. 基于空频去混叠的CFRP材料纤维纹路涡流成像[J]. 机械工程学报, 2022, 58(4): 14-21.

CHENG Jun, YOU Yong, WANG Buyun, XU Dezhang, YU Cheng, YANG Jiquan. Eddy Current Imaging of Fiber Textures in CFRP Composite Based on Spatial Frequency Domain De-aliasing Method[J]. Journal of Mechanical Engineering, 2022, 58(4): 14-21.

参考文献

[1] 邢丽英,蒋诗才,周正刚.先进树脂基复合材料制造技术进展[J].复合材料学报,2013,30(2):1-9. XING Liying,JIANG Shicai,ZHOU Zhenggang. Progress of manufacturing technology development of advanced polymer matrix composites[J]. Acta Materiae Compositae Sinica,2013,30(2):1-9.
[2] 朱国华,成艾国,王振,等.电动车轻量化复合材料车身骨架多尺度分析[J].机械工程学报,2016,52(6):145-152. ZHU Guohua,CHENG Aiguo,WANG Zhen,et al. Analysis of lightweight composite body structure for electrical vehicle using the multiscale approach[J]. Journal of Mechanical Engineering,2016,52(6):145-152.
[3] 马立敏,张嘉振,岳广全,等.复合材料在新一代大型民用飞机中的应用[J].复合材料学报,2015,32(2):317-322. MA Limin,ZHANG Jiazhen,YUE Guangquan,et al. Application of composites in new generation of large civil aircraft[J]. Acta Materiae Compositae Sinica,2015,32(2):317-322.
[4] 朱小军,陈雪峰,翟智,等.复合材料风电叶片细观失效准则及其损伤演化[J].机械工程学报,2014,50(11):17-22. ZHU Xiaojun,CHEN Xuefeng,ZHAI Zhi,et al. Microscopic failure criterion and damage evolution of composite material wind turbine blades[J]. Journal of Mechanical Engineering,2014,50(11):17-22.
[5] HEUER H,SCHULZ M,POOCH M,et al. Review on quality assurance along the CFRP value chain-Non-destructive testing of fabrics,preforms and CFRP by HF radio wave techniques[J]. Composites Part B:Engineering,2015,77:494-501.
[6] 徐帅,程军,杨继全,等.各向异性碳纤维复合材料的方向性涡流检测[J].振动、测试与诊断,2019,39(3):631-637. XU Shuai,CHENG Jun,YANG Jiquan,et al. Eddy current testing of directionality in anisotropic carbon fiber reinforced polymer composite[J]. Journal of Vibration,Measurement&Diagnosis,2019,39(3):631-637.
[7] ZENG Z,DING P,LI J,et al. Characteristics of eddy current attenuation and thickness measurement of metallic plate[J]. Chinese Journal of Mechanical Engineering,2019,32:106.
[8] GERHARD M,ROLF L,OLK K. Non-destructive characterisation of carbon-fibre-reinforced plastics by means of eddy-currents[J]. Composites Science and Technology,2001,61:865-873.
[9] BARDL G,NOCKE A,CHERIF C,et al. Automated detection of yarn orientation in 3D-draped carbon fiber fabrics and preforms from eddy current data[J]. Composites Part B:Engineering,2016,96:312-324.
[10] 程军,杨继全,裘进浩,等.基于涡流成像的碳纤维增强树脂基复合材料细观结构可视化[J].复合材料学报,2018,35(8):2074-2083. CHENG Jun,YANG Jiquan,QIU Jinhao,et al. Visualization of meso-structure of carbon fiber reinforced polymer based on eddy current imaging[J]. Acta Materiae Compositae Sinica,2018(8):2074-2083.
[11] 程军,徐帅,汪步云,等.一种自调零平切型电涡流探头及其在碳纤维复合材料细观成像中的应用[J].机械工程学报,2021,57(4):27-35. CHENG Jun,XU Shuai,WANG Buyun,et al. Application of self-nulling pancake-tangent eddy current probe for mesoscopic imaging of CFRP composites[J]. Journal of Mechanical Engineering,2021,57(4):27-35.
[12] 张晔,魏然.基于成像机理分析的图像混叠去除[J].系统工程与电子技术,2015,37(3):679-687. ZHANG Ye,WEI Ran. Image aliasing-removing based on imaging-mechanism analysis[J]. System Engineering and Electronics,2015,37(3):679-687.
[13] MOOK G,MICHEL F,SIMONIN J. Electromagnetic imaging using probe arrays[J]. Journal of Mechanical Engineering,2011,2011(3):227-236.
[14] CHENG J,QIU J,JI H,et al. Application of low frequency ECT method in noncontact detection and visualization of CFRP material[J]. Composites Part B Engineering,2017,110:141-152.
[15] GRIMBERG R,SAVIN A,STEIGMANN R,et al. Eddy current examination of carbon fibres in carbon-epoxy composites and Kevlar[J]. International Journal of Materials&Product Technology,2006,27(3-4):221-228.
[16] 冈萨雷斯,伍兹.数字图像处理[M]. 4版.北京:电子工业出版社,2020. GONZALEZ R C,WOODS R E. Digital image processing[M]. 4th ed. Beijing:Publishing House of Electronics Industry,2020.

基于空频去混叠的CFRP材料纤维纹路涡流成像

Eddy Current Imaging of Fiber Textures in CFRP Composite Based on Spatial Frequency Domain De-aliasing Method

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