基于多角度偏振光学相干层析成像的滑油磨粒三维形貌检测和重建

孟毅儒; 吕金光; 郑凯丰; 赵百轩; 秦余欣; 陈宇鹏; 赵莹泽; 聂海涛; 王维彪; 许景江; 蓝公仆; 梁静秋

doi:10.37188/CO.EN-2025-0018

基于多角度偏振光学相干层析成像的滑油磨粒三维形貌检测和重建

孟毅儒^{1, 2,},
吕金光^{1, 3},
郑凯丰^{1, 3},
赵百轩^{1, 3},
秦余欣^{1, 3},
陈宇鹏^{1, 3},
赵莹泽^{1, 3},
聂海涛^{1, 3},
王维彪¹,
许景江⁴,
蓝公仆^4, ,,
梁静秋^{1, 3, ,}

1.
中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
2.
中国科学院大学, 北京 100049
3.
中国科学院长春光学精密机械与物理研究所光学系统先进制造全国重点实验室, 吉林长春 130033
4.
佛山科学技术学院物理与光电工程学院粤港澳智能微纳光电技术联合实验室, 广东佛山 528225

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出版历程
- 收稿日期: 2020-01-03
- 修回日期: 2020-01-05
- 录用日期: 2025-04-14
- 网络出版日期: 2025-05-21

3-D morphological feature measurement and reconstruction of wear particles using multi-view polarized optical coherence tomography

doi: 10.37188/CO.EN-2025-0018

MENG Yi-ru^{1, 2
,},
LV Jin-guang^{1, 3},
ZHENG Kai-feng^{1, 3},
ZHAO Bai-xuan^{1, 3},
QIN Yu-xin^{1, 3},
CHEN Yu-peng^{1, 3},
ZHAO Ying-ze^{1, 3},
NIE Hai-tao^{1, 3},
WANG Wei-biao¹,
XU Jing-jiang⁴,
LAN Gong-pu^{4
, ,},
LIANG Jing-qiu^{1, 3
, ,}

1.
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, Jilin, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China
3.
State Key Laboratory of Advanced Manufacturing for Optical Systems, Changchun 130033, Jilin, China
4.
Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, School of Physics and Optoelectronic Engineering, Foshan University, Foshan, Guangdong, 528000, China

Funds: Supported by National Natural Science Foundation of China (No. 61805239, No. 61627819, No. 61727818, No. 62405317, No. 62305339); Jilin Provincial Scientific and Technological Development Program (No. 20240302024GX, No. 20230201049GX, No. 20230508137RC, No. 20230508141RC, No. 20240602066RC); National Key Research and Development Program of China (No. 2022YFB3604702); Youth Innovation Promotion Association of the Chinese Academy of Sciences (No. 2018254)

More Information

Author Bio:
MENG Yi-ru (1998—), male, in Xing'an League, Inner Mongolia Autonomous Region. He received his bachelor's degree in engineering from Wuhan University of Technology and is currently pursuing a master's degree at the Changchun Institute of Optics, Fine Mechanics and Physics, University of Chinese Academy of Sciences. His main research interests include optical coherence imaging, image processing and 3D reconstruction. E-mail: m616263zzzf@163.com

LAN Gong-pu (1983—), male, born in Qiqihar, Heilongjiang. He obtained the M.S. degree from Changchun University of Science and Technology in 2008, and the Ph.D. degree from the Institute of Optics and Electronics, Chinese Academy of Sciences in 2011. From 2011 to 2017, he worked at the University of Washington, the University of Houston, and the University of Alabama at Birmingham. His current research interests include OCT and OCT-based functional imaging. E-mail: langongpu@fosu.edu.cn

LIANG Jing-qiu (1962—), female, born in Changchun, Jilin. She received her Ph.D. from the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, in 2003, and is currently a researcher and professor at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences. She is mainly engaged in micro/nano optical structure, device and system research, infrared spectroscopy/imaging spectroscopy technology and infrared optical instrument research, micro-LED micro-display chips and their application, and visible light communication device and system research. E-mail: liangjq@ciomp.ac.cn

Corresponding author: langongpu@fosu.edu.cn; liangjq@ciomp.ac.cn

摘要

摘要:
滑油中的磨粒形貌信息对航空发动机的磨损状态检测和故障诊断至关重要，如何准确和完整的获取滑油磨粒的三维形貌信息已经成为滑油磨粒分析的重点。基于以上背景，本文提出了一种基于多角度偏振敏感光学相干层析成像技术的航空发动机滑油磨粒三维形貌检测和重建方法，通过多角度成像采集磨粒的三维形貌信息，运用滤波、锐化、轮廓识别得到点云数据，随后结合多种配准算法和泊松重建方法，生成高精度滑油磨粒三维模型，在实现滑油磨粒三维形貌信息准确重建的同时解决了磨粒遮挡造成的信息丢失问题，保证了重建模型的完整性。此外，通过采集航空发动机滑油中的典型金属及其氧化物的偏振信息，结合斯托克斯矢量、偏振均匀度、累计相位延迟分析对磨粒的偏振特性进行了全面表征和对比分析，实现了对滑油磨粒的多维度信息获取，为磨粒种类识别提供了有效的方法。
- 多角度 /
- 光学低相干 /
- 偏振 /
- 三维重建 /
- 滑油磨粒
Abstract:
The morphological description of wear particles in lubricating oil is crucial for wear state monitoring and fault diagnosis in aero-engines. Accurately and comprehensively acquiring three-dimensional (3D) morphological data of these particles has become a key focus in wear debris analysis. Herein, we develop a novel multi-view polarization-sensitive optical coherence tomography (PS-OCT) method to achieve accurate 3D morphology detection and reconstruction of aero-engine lubricant wear particles, effectively resolving occlusion-induced information loss while enabling material-specific characterization. The particle morphology is captured by multi-view imaging, followed by filtering, sharpening, and contour recognition. The method integrates advanced registration algorithms with Poisson reconstruction to generate high-precision 3D models. This approach not only provides accurate 3D morphological reconstruction but also mitigates information loss caused by particle occlusion, ensuring model completeness. Furthermore, by collecting polarization characteristics of typical metals and their oxides in aero-engine lubricants, this work comprehensively characterizes and comparatively analyzes particle polarization properties using Stokes vectors, polarization uniformity, and cumulative phase retardation, and obtains a three-dimensional model containing polarization information. Ultimately, the proposed method enables multidimensional information acquisition for the reliable identification of abrasive particle types.
- multi-view /
- optical low coherence /
- polarization /
- 3D reconstruction /
- wear particles

HTML全文

Figure 1. Schematic of the multi-view polarized optical coherence imaging system (PC: polarization controller, FPBS: fiber polarization beam splitter, BPD: photoelectric balance detection, K CLOCK: wavenumber clock signal, FC: fiber coupler).

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Figure 2. Multi-perspective optical coherence for 3D imaging of different abrasive article states.

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Figure 3. Flowchart of algorithm processing.

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Figure 4. 3D reconstruction results for rod-shaped, helical, and spherical wear particles.

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Figure 5. Comparative Analysis of the 3D Modeling and Microscope Measurement Results: (a) Linear Fitting Chart of two groups of data, (b) Bland-Altman Analysis Chart of two groups of data.

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Figure 6. Polarization analysis of spherical copper and iron wear particles: (a) Stru cross-sectional image, (b) Stokes cross-sectional image, (c) DOPU cross-sectional image, (d) CPR cross-sectional image, (e) Stru en-face image, (f) Stokes en-face image, (g) DOPU en-face image, (h) CPR en-face image, (i) Stokes signal strength histogram, (j) DOPU signal strength histogram, (k) CPR signal strength histogram, (l) Stru signal strength histogram, (m) Bhattacharyya Distance Histogram, (n) Polarimetric 3D Model.

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Figure 7. Polarization analysis of iron and ferric oxide clusters: (a) Stru cross-sectional image, (b) Stokes cross-sectional image, (c) DOPU cross-sectional image, (d) CPR cross-sectional image, (e) Stru en-face image, (f) Stokes en-face image, (g) DOPU en-face image, (h) CPR en-face image, (i) Stokes signal strength histogram, (j) DOPU signal strength histogram, (k) CPR signal strength histogram, (l) Stru signal strength histogram, (m) Bhattacharyya Distance Histogram, (n) Polarimetric 3D Model.

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