The reconstruction and defects detection of fiber pack
•High resolution industrial X-ray computerized tomography was used for image acquisition.•According to the characteristics of the image, a series of image processing methods are used to optimize it.•The internal winding structure of the whole guidance fiber pack is reconstructed accurately.•Analyzin...
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| Published in: | Optics and lasers in engineering Vol. 185; p. 108719 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.02.2025
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| ISSN: | 0143-8166 |
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| Abstract | •High resolution industrial X-ray computerized tomography was used for image acquisition.•According to the characteristics of the image, a series of image processing methods are used to optimize it.•The internal winding structure of the whole guidance fiber pack is reconstructed accurately.•Analyzing the geometric features and formation mechanism of the fiber pack defects.•Automatic identification and detection of fiber pack defects.
Fiber optic guidance technology is a crucial approach for weapon teleoperation. However, the reliable release of ultra-long-distance guidance fiber through tight winding has always posed a technical challenge that hinders its development. The winding and forming process of the guidance fiber pack often leads to various structural defects, significantly compromising its release reliability. Therefore, it is imperative to address geometric reconstruction and defect detection within the internal structure of formed fiber packs. In this study, an innovative approach is proposed utilizing industrial computerized tomography (CT) technology for precise geometric reconstruction and nondestructive defect detection in guidance fiber packs. The method initially acquires visualization data of the fiber pack through industrial CT scanning, followed by precise extraction of the fiber's cross-section centroid using image digitization techniques. Subsequently, an innovative algorithm based on centroid distance is developed for point determination, enabling the identification and connection of correlated centroid points to construct a geometric reconstruction model of the actual internal structure of the fiber pack for the first time. Finally, the geometric features of various typical structural defects are defined, and based on these features, the detection, identification, and location of the defects of the fiber pack structure are realized. Experimental results demonstrate that this method exhibits high accuracy and sensitivity, providing robust support for further advancements in fiber optic guidance technology. |
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| AbstractList | •High resolution industrial X-ray computerized tomography was used for image acquisition.•According to the characteristics of the image, a series of image processing methods are used to optimize it.•The internal winding structure of the whole guidance fiber pack is reconstructed accurately.•Analyzing the geometric features and formation mechanism of the fiber pack defects.•Automatic identification and detection of fiber pack defects.
Fiber optic guidance technology is a crucial approach for weapon teleoperation. However, the reliable release of ultra-long-distance guidance fiber through tight winding has always posed a technical challenge that hinders its development. The winding and forming process of the guidance fiber pack often leads to various structural defects, significantly compromising its release reliability. Therefore, it is imperative to address geometric reconstruction and defect detection within the internal structure of formed fiber packs. In this study, an innovative approach is proposed utilizing industrial computerized tomography (CT) technology for precise geometric reconstruction and nondestructive defect detection in guidance fiber packs. The method initially acquires visualization data of the fiber pack through industrial CT scanning, followed by precise extraction of the fiber's cross-section centroid using image digitization techniques. Subsequently, an innovative algorithm based on centroid distance is developed for point determination, enabling the identification and connection of correlated centroid points to construct a geometric reconstruction model of the actual internal structure of the fiber pack for the first time. Finally, the geometric features of various typical structural defects are defined, and based on these features, the detection, identification, and location of the defects of the fiber pack structure are realized. Experimental results demonstrate that this method exhibits high accuracy and sensitivity, providing robust support for further advancements in fiber optic guidance technology. |
| ArticleNumber | 108719 |
| Author | Shi, Tengyin Zhang, Zhuo Xue, Yaohui Lv, Jingze Zhang, Yiqun |
| Author_xml | – sequence: 1 givenname: Tengyin surname: Shi fullname: Shi, Tengyin email: tengyinshi@stu.xidian.edu.cn organization: School of Mechano-Electronic Engineering, Xidian University, No. 2 South Taibai Rd., Xi'an, Shaanxi 710071, PR China – sequence: 2 givenname: Zhuo surname: Zhang fullname: Zhang, Zhuo email: lbczz0823@163.com organization: Xi'an Modern Control Technology Research Institute, No.10 Zhangba East Rd., Xi'an, Shaanxi 710065, PR China – sequence: 3 givenname: Yaohui surname: Xue fullname: Xue, Yaohui email: icestoneman@163.com organization: Xi'an Modern Control Technology Research Institute, No.10 Zhangba East Rd., Xi'an, Shaanxi 710065, PR China – sequence: 4 givenname: Jingze surname: Lv fullname: Lv, Jingze email: jingzelv@stu.xidian.edu.cn organization: School of Mechano-Electronic Engineering, Xidian University, No. 2 South Taibai Rd., Xi'an, Shaanxi 710071, PR China – sequence: 5 givenname: Yiqun surname: Zhang fullname: Zhang, Yiqun email: yiqunzhang@xidian.edu.cn organization: School of Mechano-Electronic Engineering, Xidian University, No. 2 South Taibai Rd., Xi'an, Shaanxi 710071, PR China |
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| Cites_doi | 10.1002/cpe.4697 10.1109/ACCESS.2020.3027154 10.1117/12.959847 10.1016/j.ijpvp.2023.105033 10.1063/1.1148194 10.3390/machines9090198 10.1088/1748-0221/11/03/C03057 10.1007/s10462-017-9574-2 10.1109/41.141628 10.1088/1361-6501/acd0ca 10.1088/1361-6501/ad29e2 10.3390/app12146838 10.2514/3.20102 10.1002/app.38744 10.3390/s23041913 10.1118/1.4956943 10.1109/TIM.2021.3118090 10.1016/j.measurement.2015.10.036 10.1109/LPT.2014.2384837 10.1017/S0001924000084621 10.1007/s00330-020-06704-0 10.34133/space.0057 |
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| Keywords | Missile guidance Computed tomography Image processing Nondestructive testing Geometric modeling |
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