WEI Mingjiang, ZHAN Weixia, SHANG Yunkun, et al. Three-dimensional dynamic simulation analysis of magnetic flux leakage distribution in broken strands of wire ropes[J]. Journal of Mine Automation,2025,51(2):148-154, 162. DOI: 10.13272/j.issn.1671-251x.2024100013
Citation: WEI Mingjiang, ZHAN Weixia, SHANG Yunkun, et al. Three-dimensional dynamic simulation analysis of magnetic flux leakage distribution in broken strands of wire ropes[J]. Journal of Mine Automation,2025,51(2):148-154, 162. DOI: 10.13272/j.issn.1671-251x.2024100013

Three-dimensional dynamic simulation analysis of magnetic flux leakage distribution in broken strands of wire ropes

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  • Received Date: October 08, 2024
  • Revised Date: February 25, 2025
  • Available Online: March 10, 2025
  • Current simulation studies on the distribution pattern of magnetic flux leakage (MFL) in broken strands of wire ropes primarily use finite element static magnetic field simulation models. In these models, the wire rope and the damage detection instrument remain relatively stationary. However, during actual field inspections, there is relative motion between the wire rope and the detection instrument, leading to deviations between the simulated and actual MFL signals. To address this issue, this study established a three-dimensional dynamic magnetic field simulation model using Ansoft Maxwell electromagnetic simulation software. The model simulated the MFL of broken wires under relative motion conditions and analyzed the effects of different break widths, numbers of broken wires, and lift-off values on the peak-to-peak axial MFL. The simulation results show that the three-dimensional dynamic magnetic field simulation model can replicate the relative motion between the wire rope and the detection instrument. The simulated MFL include both the MFL caused by broken wires and that caused by wire strands, making it more representative of actual leakage fields. The peak-to-peak axial MFL initially increases and then decreases as the break width increases. Additionally, the peak-to-peak axial MFL exhibit a positive correlation with the number of broken wires and a negative correlation with the lift-off value. The accuracy of the three-dimensional dynamic magnetic field simulation model is further validated by establishing a three-dimensional magnetic dipole model to analyze the peak-to-peak axial MFL.

  • [1]
    谭继文,战卫侠,文妍. 钢丝绳安全检测原理与技术[M]. 北京:科学出版社,2009.

    TAN Jiwen,ZHAN Weixia,WEN Yan. Principle and technology of wire rope safety detection[M]. Beijing:Science Press,2009.
    [2]
    张义清. 钢丝绳断丝损伤检测与定量识别研究[D]. 青岛:青岛理工大学,2021.

    ZHANG Yiqing. Research on detection and quantitative identification of broken wires of the steel wire rope[D]. Qingdao:Qingdao University of Technology,2021.
    [3]
    战卫侠. 钢丝绳断丝损伤信号处理及定量识别方法研究[D]. 青岛:青岛理工大学,2013.

    ZHAN Weixia. Research on signal process and quantitative recognition method of broken wires in wire rope[D]. Qingdao:Qingdao University of Technology,2013.
    [4]
    MAZUREK P. A comprehensive review of steel wire rope degradation mechanisms and recent damage detection methods[J]. Sustainability,2023,15(6). DOI: 10.3390/su15065441.
    [5]
    SHAMSUDIN S R,HARUN M,MOHD NOOR M,et al. Failure analysis of crane wire rope[J]. Materials Science Forum,2015,819:467-472. DOI: 10.4028/www.scientific.net/MSF.819.467
    [6]
    王红尧. 煤矿提升钢丝绳在线检测关键技术研究[D]. 徐州:中国矿业大学,2009.

    WANG Hongyao. Key technique of on-line detection for coal mine-hoist wire rope[D]. Xuzhou:China University of Mining and Technology,2009.
    [7]
    GB/T 5972—2023 起重机 钢丝绳 保养、维护、检验和报废[S].

    GB/T 5972-2023 Cranes-wire ropes-care and maintenance,inspection and discard[S].
    [8]
    GB/T 9075—2008 索道用钢丝绳检验和报废规范[S]. GB/T 9075-2008 Code for examination and discard of ropes for ropeway[S].
    [9]
    ZHOU Ping,ZHOU Gongbo,ZHU Zhencai,et al. A review of non-destructive damage detection methods for steel wire ropes[J]. Applied Sciences,2019,9(13). DOI: 10.3390/app9132771.
    [10]
    李国勇. 钢丝绳实时在线检测系统研发[D]. 北京:北京邮电大学,2010.

    LI Guoyong. The research of online detection technology of wire rope[D]. Beijing:Beijing University of Posts and Telecommunications,2010.
    [11]
    YAN Xiaolan,ZHANG Donglai,PAN Shimin,et al. Online nondestructive testing for fine steel wire rope in electromagnetic interference environment[J]. NDT & E International,2017,92:75-81.
    [12]
    任建浩,陈实,薛家杰,等. 基于1D−CNN−SVM的钢丝绳损伤识别方法[J]. 无损检测,2024,46(6):24-29. DOI: 10.11973/wsjc202406005

    REN Jianhao,CHEN Shi,XUE Jiajie,et al. Wire rope damage identification method based on 1D-CNN-SVM[J]. Nondestructive Testing,2024,46(6):24-29. DOI: 10.11973/wsjc202406005
    [13]
    FENG Bo,WU Jianbo,TU Hongming,et al. A review of magnetic flux leakage nondestructive testing[J]. Materials,2022,15(20). DOI: 10.3390/ma15207362.
    [14]
    MANDACHE C,CLAPHAM L. A model for magnetic flux leakage signal predictions[J]. Journal of Physics D:Applied Physics,2003,36(20):2427-2431. DOI: 10.1088/0022-3727/36/20/001
    [15]
    曹印妮. 基于漏磁成像原理的钢丝绳局部缺陷定量检测技术研究[D]. 哈尔滨:哈尔滨工业大学,2007.

    CAO Yinni. Study on wire rope local flaw quantitative testing basde on mfl imaging principle[D]. Harbin:Harbin Institute of Technology,2007.
    [16]
    SELEZNYOVA K,STRUGATSKY M,KLIAVA J. Modelling the magnetic dipole[J]. European Journal of Physics,2016,37(2). DOI: 10.1088/0143-0807/37/2/025203.
    [17]
    窦连城,战卫侠. 钢丝绳断丝损伤漏磁场计算与仿真研究[J]. 工矿自动化,2020,46(10):87-91.

    DOU Liancheng,ZHAN Weixia. Calculation and simulation research on leakage magnetic field of broken wire damage of wire rope[J]. Industry and Mine Automation,2020,46(10):87-91.
    [18]
    李登蓬. 基于聚磁技术的钢丝绳损伤电磁检测传感器研究[D]. 济南:济南大学,2019.

    LI Dengpeng. Research on electromagnetic detection sensor for wire rope damage based on magnetic concentration technology[D]. Jinan:University of Jinan,2019.
    [19]
    郭永亮. 基于漏磁检测的钢丝绳断丝检测方法及系统实现[D]. 成都:电子科技大学,2021.

    GUO Yongliang. Method and system realization of broken wire of steel wire rope based on magnetic flux leakage detection[D]. Chengdu:University of Electronic Science and Technology of China,2021.
    [20]
    朱良. 基于磁特性的钢丝绳断丝损伤定量检测研究[D]. 青岛:青岛理工大学,2019.

    ZHU Liang. Research on quantitative detection of breaken wire damage of wire ropes based on magnetic characteristics[D]. Qingdao:Qingdao University of Technology,2019.
    [21]
    华晋伟,王兵,邵帅,等. 基于漏磁原理的钢丝绳无损检测技术研究[J]. 仪表技术与传感器,2014(5):38-39,105. DOI: 10.3969/j.issn.1002-1841.2014.05.012

    HUA Jinwei,WANG Bing,SHAO Shuai,et al. Research of examining steel wire with no damaging method[J]. Instrument Technique and Sensor,2014(5):38-39,105. DOI: 10.3969/j.issn.1002-1841.2014.05.012
    [22]
    刘国强,赵凌志,蒋继娅. Ansoft工程电磁场有限元分析[M]. 北京:电子工业出版社,2005.

    LIU Guoqiang,ZHAO Lingzhi,JIANG Jiya. Ansoft engineering electromagnetic field finite element analysis[M]. Beijing:Publishing House of Electronics Industry,2005.
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