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Research on Remote-Field Eddy Current Focusing Method for Detecting Hidden Defects in Aircraft Riveted Components

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Abstract

Most of the aircraft skin is assembled by riveted structural parts, and the riveted holes are prone to cracks due to stress concentration, so it is urgent to carry out non-destructive testing research on aircraft riveted components. In this paper, a planar remote-field eddy current focusing detection probe was designed to study the hidden defects around the holes of aircraft riveted components, and a 3D simulation model was established for the detection of hidden defects in aircraft riveted components. The structural parameters of the focused remote-field eddy current probe were optimized by combining simulation and experiment, and the planar remote-field eddy current focusing detection test was carried out. The simulation and results showed that: When the inclination angle of the excitation coil is 10° and the coil spacing is 0 mm, the optimized focused remote-field eddy current probe can effectively detect the defect in length × width × depth of 10 mm × 0.2 mm × 1 mm under the buried depth of 9 mm. When the buried depth of the defect is 6–9 mm, the focused remote-field eddy current probe has a better detection capability than the non-focused remote-field eddy current probe.

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Availability of data and material

The datasets generated or analyzed during this study are available from the corresponding author on reasonable request.

References

  1. Shengqiang, H.: Large aircraft digital assembly technology and equipment. Aviation Industry Press (2013)

  2. Junqing, Y., Zhongqi, W., Yonggang, K., et al.: Application of simulation technology in aircraft automatic drilling and riveting. Aviat. Manuf. Technol. 24, 84–87 (2009)

    Google Scholar 

  3. Qiang, C.: Assembly and connection technology for large aircraft development in China. Aviat. Manuf. Technol. 2, 88–91 (2009)

    Google Scholar 

  4. Yanyu, D.: Mechanical property analysis and simulation research in aircraft assembly riveting. Nanchang Aviation University (2018)

  5. Huan, L.: Fretting fatigue life analysis of riveted members. Kunming University of Science and Technology (2008)

  6. Dongfeng, T.: Study on fatigue performance of riveted components of aircraft fuselage. Nanjing University of Aeronautics and Astronautics (2013)

  7. Fromme, P., Sayir, M.B.: Detection of cracks at rivet holes using guided waves. Ultrasonics 40(1–8), 199–203 (2002)

    Article  Google Scholar 

  8. Ebrahimkhanlou, A., Dubuc, B., Salamone, S.: A generalizable deep learning framework for localizing and characterizing acoustic emission sources in riveted metallic panels. Mech. Syst. Signal Process. 130, 248–272 (2019)

    Article  Google Scholar 

  9. Hutt, T., Cawley, P.: Feasibility of digital image correlation for detection of cracks at fastener holes. NDT&E Int. 42(2), 141–149 (2009)

    Article  Google Scholar 

  10. Cho, H., Lissenden, C.J.: Structural health monitoring of fatigue crack growth in plate structures with ultrasonic guided waves. Struct. Health Monit. 11(4), 393–404 (2012)

    Article  Google Scholar 

  11. Masserey, B., Fromme, P.: In-situ monitoring of fatigue crack growth using high frequency guided waves. NDT&E Int. 71(4), 1–7 (2015)

    Article  Google Scholar 

  12. He, Y., Luo, F., Pan, M., et al.: Pulsed eddy current technique for defect detection in aircraft riveted structures. NDT E Int. 43(02), 176–181 (2010)

    Article  Google Scholar 

  13. Pingzheng, L., Kai, S., Ning, N., et al.: Design and optimization of remote field eddy current sensor for crack detection around holes of aircraft fasteners. J. Instrum. 40(06), 1–8 (2019)

    Google Scholar 

  14. Kai, S., Yongjie, O., Zhihong, F., Junhong, H., Ximing, C.: Simulation and experimental study on remote field eddy current sensor with array of hole edge defects for aircraft high lock bolts. J. Aeronaut. 1–13

  15. Kai, S., Zhihong, F., Ximing, C., Lipan, Z., Junhong, H.: Effect of coil angle of PRFECT probe for aircraft riveted components. J. Aeronaut. 42(10), 406–415 (2021)

    Google Scholar 

  16. Yang Binfeng, Xu., Junmin, W.X., et al.: Research on remote-field eddy current testing technology for aircraft riveted structure defects. J. Sens. Technol. 30(10), 1493–1496 (2017)

    Google Scholar 

  17. Kai, S., Zhihong, F., Zixuan, Li., et al.: Investigation on influence of PRFECT probe position on detection coil of aircraft riveted components. J. Nondestr. Eval.Nondestr. Eval. 41(04), 1–13 (2022)

    Google Scholar 

  18. Jingyin, Z., Yinzhao, L.: An analytical solution of coil eddy current problem with focusing effect NDT. 02, 57–70 (2007)

  19. Wen, Z., Yinzhao, L.: Transient electromagnetic field of focusing coil above conductive flat plate Chinese. J. Electr. Eng. 30(24), 119–128 (2010)

    Google Scholar 

  20. Kim, Y.J., Lee, S.S.: Eddy current probes of inclined coils for increased detectability of circumferential cracks in tubing. NDT&E Int. 49, 77–82 (2012)

    Article  Google Scholar 

  21. Aisong, C., Ye, Z., Pugen, Z., et al.: Simulation study on corrosion under insulation layer based on focused probe pulsed eddy current testing. Chem. Equip. Technol. 41(04), 10–14 (2020)

    Google Scholar 

  22. Ben-Yong, Z., Kai, S., Ning, N., et al.: Optimization and test of far-field eddy current inspection probe for hidden defects in aircraft riveted parts. J. Aeronaut. 41(01), 271–281 (2020)

    Google Scholar 

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Acknowledgements

We wish to thank the timely help given by Ximing Cui in analyzing the large number of samples. Funding that provided financial support for this article is gratefully acknowledged.

Funding

This research was funded by the XX Special Scientific Research Program (Aircraft Strength Research Institute of China) from the Ministry of Industry and Information Technology of China and the National Natural Science Foundation of China (Project No.: 51865033) and the Doctoral Scientific Research Foundation (Project No.: EA202208183) and the Key Laboratory Foundation of Non-Destructive Testing Technology of Ministry of Education (Project No.: EW202208366).

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Authors and Affiliations

  1. Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang, Jiangxi, China

    Rongbiao Wang, Boxuan Bao, Wentao Wang, Min Zhang, Lina Liu & Kai Song

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  1. Rongbiao Wang
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  2. Boxuan Bao
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  3. Wentao Wang
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  4. Min Zhang
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  5. Lina Liu
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  6. Kai Song
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Contributions

RW conceptualization, methodology. BB software, investigation. WW data curation. MZ visualization. LL writing—original draft, writing—review and editing. KS supervision, project administration. All authors reviewed the manuscript.

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Correspondence to Kai Song.

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Wang, R., Bao, B., Wang, W. et al. Research on Remote-Field Eddy Current Focusing Method for Detecting Hidden Defects in Aircraft Riveted Components. J Nondestruct Eval 42, 95 (2023). https://doi.org/10.1007/s10921-023-01011-2

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