Inspecting defects of ACCC by linear scanning CT
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TM726.4

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    Abstract:

    As one of the common capacity-building conductors, aluminum conductor composite core (ACCC) is widely used in overhead power transmission lines. However, its mandrel is vulnerable to damage in the construction process, which may lead to breakage of conductor strand and wire. Therefore it is urgent to study the nondestructive testing technique for ACCC in service. Because the ACCC is made of outer aluminum conductor and inner composite core, the traditional detection methods cannot effectively inspect the defects in the mandrel. This paper proposes a method to detect defects of in-service ACCC using a linear scanning computed tomography (CT). In this CT method, an X ray source and a detector are moved in a relatively parallel line around the fixed detection object, which has the advantages of simple structure and convenient installation. Furthermore, one and two linear CT scanning modes are designed according to different situations, and the corresponding principle experiment platform is built. The three common mandrel defects of fracture, split and crack were tested in small batches under laboratory conditions. The experimental results show that one relative linear scanning CT can be used for rapid detection of mandrel defects with large defects, and two relative linear scanning CT can be used for fine detection of small defects existing in mandrel. Compared to traditional X-ray transmission imaging detection, the method in this paper provides a new idea and reference for inspecting the internal defects of the ACCC.

    Reference
    [1] 董罡, 宋卓彦, 何春晖, 等. 新型碳纤维复合芯导线在输电线路中的应用分析[J]. 合成纤维, 2019, 48(8): 35-38.Dong G, Song Z Y, He C H, et al. Application analysis of new carbon fiber composite conductor in transmission line[J]. Syn thetic Fiber in China, 2019, 48(8): 35-38.(in Chinese)
    [2] Burkov A A. Wear resistance of electrospark WC-CO coatings with different iron contents[J]. Journal of Friction and Wear, 2016, 37(4): 385-388.
    [3] 董罡. 铝包覆碳纤维复合芯导线性能研究[J]. 山东电力技术, 2017, 44(11): 65-68,80.Dong G. Research on applications of aluminum coating carbon fiber mandrel composite mandrel conductor[J]. Shandong Electric Power, 2017, 44(11): 65-68,80.(in Chinese)
    [4] 周超, 赵士杰, 刘衍平. 绞型和棒型碳纤维导线主要性能对比及问题分析[J]. 电力与能源, 2019, 40(2): 150-153.Zhou C, Zhao S J, Liu Y P. Main performance comparison and problem analysis of twisted and rod carbon fiber conductors[J]. Power & Energy, 2019, 40(2): 150-153.(in Chinese)
    [5] 秦力, 刘芳卉, 宋阳. 碳纤维复合芯导线股线应力有限元分析[J]. 水电能源科学, 2017, 35(5): 182-186.Qin L, Liu F H, Song Y. Finite element analysis of ACCC strands stress[J]. Water Resources and Power, 2017, 35(5): 182-186.(in Chinese)
    [6] 兰逢涛, 陈新, 阳武, 等. 纤维张力及均匀性对输电导线复合芯性能影响[J]. 工程塑料应用, 2017, 45(3): 69-72,93.Lan F T, Chen X, Yang W, et al. Influence of fiber tension and tension evenness on performance of composite cores in trans mission line[J]. Engineering Plastics Application, 2017, 45(3): 69-72,93.(in Chinese)
    [7] 杨长龙, 李瑞, 陈玲, 等. 碳纤维复合芯架空导线长期运行老化后性能研究[J]. 腐蚀科学与防护技术, 2019, 31(3): 365-370.Yang C L, Li R, Chen L, et al. Performance variation of aluminum conductor with carbon fiber composite core after long-term service[J]. Corrosion Science and Protection Technology, 2019, 31(3): 365-370.(in Chinese)
    [8] 王永伟, 朱波, 曹伟伟, 等. 碳纤维复合材料导线X射线无损检测技术开发及应用[J]. 化学分析计量, 2014, 23(5): 72-74.Wang Y W, Zhu B, Cao W W, et al. Development and application of non-destructive testing technology on ACCC[J]. Chemical Analysis and Meterage, 2014, 23(5): 72-74.(in Chinese)
    [9] 韩国栋, 吴章勤, 万书亭, 等. 基于X射线数字成像技术的高压输电导线内部缺陷检测实验研究[J]. 科学技术与工程, 2015, 15(3): 227-230,235.Han G D, Wu Z Q, Wan S T, et al. The detection research of high voltage transmission line internal defects based on X-ray digi tal radiography[J]. Science Technology and Engineering, 2015, 15(3): 227-230,235.(in Chinese)
    [10] Horvatic Novak A, Runje B, Stepanic J. Capabilities of industrial computed tomography in the field of dimensional measurements[J]. Advances in Production Engineering & Management, 2017, 12(3): 245-253.
    [11] Liang C Y, Wang Y H, Tan G J, et al. Analysis of internal structure of cement-stabilized macadam based on industrial CT scanning[J]. Advances in Materials Science and Engineering, 2020: 1-10.
    [12] Chen G Y, Hong X, Ding Q Q, et al. AirNet: Fused analytical and iterative reconstruction with deep neural network regularization for sparse-data CT[J]. Medical Physics, 2020, 47(7): 2916-2930.
    [13] Ulbricht A, Gollwitzer C, Kupsch A, et al. Moderne methoden der CT-gestützten strukturanalyse[J]. Tm-Technisches Messen, 2020, 87(2): 81-92.
    [14] Jiang, H N. Defect features recognition in 3d industrial CT images[J]. Informatica-Journal of Computing and Informatics, 2018, 42(3): 477-482.
    [15] Jiang H N. Defect features recognition in 3D industrial CT images[J]. Informatica, 2018, 42(3): 477-482.
    [16] 段黎明,周渝庆. 基于工业CT图像的材料疲劳寿命预测[J]. 重庆大学学报(自然科学版), 2008, 31(8): 831-835.Duan L M, Zhou Y Q. Prediction of material fatigue life based on industrial CT images[J]. Journal of Chongqing University(Natural Science Edition), 2008, 31(8): 831-835. (in Chinese)
    [17] Garnett R. A comprehensive review of dual-energy and multi-spectral computed tomography[J]. Clinical Imaging, 2020, 67: 160-169.
    [18] Liu F, Yu H, Cong W, et al. Top-level design and pilot analysis of low-end ct scanners based on linear scanning for developing countries[J]. Journal of X-Ray Science and Technology, 2013, 22(5): 673-86.
    [19] Trampert Jeannot, Leveque Jean Jacques. Simultaneous iterative reconstruction technique: physical interpretation based on the generalized least squares solution[J]. Journal of Geophysical Research Solid Earth, 1990, 95(B8): 12553-12559.
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吕中宾,田忠建,刘光辉,张博,叶中飞,刘丰林.直线扫描CT检测碳纤维复合芯导线缺陷研究[J].重庆大学学报,2021,44(5):95~103

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  • Received:November 05,2020
  • Online: June 01,2021
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