journal article·2025-12-02

Quantitative non-destructive evaluation analysis and characterisation of microcrack detection based on carbon steel weld under alternating current field measurement

Zhaoming Zhou, Weixuan Tang, Zhonghua Zhou, Wei Mi, Kai Li

Publisher page

Abstract

Nondestructive testing of microcrack in welding seams is a key and challenging task in nuclear industry to evaluate material properties. The real magnetic characteristics of welds and stress redistribution have not been considered in the previous numerical simulation of welds and base metal materials, which leads to conservative calculation values and fails to meet actual engineering expectations. In this work, based on the difference between weld and base material structure, a non-uniform weld magnetic charge model was established and the stress distribution characteristics of weld cracks were analysed. The characteristics and gradient distribution of magnetic signals at weld and weld crack are calculated. The work quantitatively studied and characterised the influence of the offset weld position of the detection probe, the distance between the crack and the probe, the crack cluster, and the crack at the interface between the weld and the base metal on the detection signal. The microcrack detection of base metal, weld, and interface under various working conditions was compared and analysed. The difficulty of the AC electromagnetic method in weld inspection is solved, and the weld microcrack identification is realised. The results provide theoretical guidance for the identification of potential weld microcracks in spent fuel pools.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Non-Destructive Testing Techniques · Welding Techniques and Residual Stresses · Ultrasonics and Acoustic Wave Propagation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Southwest Petroleum University

Sichuan Jingzhun Special Equipment Inspection Company Limited

CNPC Bohai Equipment Manufacturing Company Limited

State Nucl Power Plant Serv Co

Funding

National Natural Science Foundation of China · Sichuan Provincial Yuan Provincial School Cooperation Project

References (32)

Show source-provided references
1. 10.1080/10589759.2024.231521010.1080/10589759.2024.2315210 ↗
2. 10.1007/s10921-019-0596-310.1007/s10921-019-0596-3 ↗
3. 10.1007/s10921-015-0326-410.1007/s10921-015-0326-4 ↗
4. 10.1007/s10921-020-00732-y10.1007/s10921-020-00732-y ↗
5. 10.1007/s10921-018-0499-810.1007/s10921-018-0499-8 ↗
6. 10.1016/j.conbuildmat.2024.13578910.1016/j.conbuildmat.2024.135789 ↗
7. 10.1016/j.autcon.2022.10426210.1016/j.autcon.2022.104262 ↗
8. 10.1016/j.autcon.2021.10360410.1016/j.autcon.2021.103604 ↗
9. 10.1016/j.measurement.2020.10894510.1016/j.measurement.2020.108945 ↗
10. Howitt M. Bombardier brings ACFM into the rail industry. Insight. 2002;44(6):379–382.
11. 10.1784/insi.2019.61.9.54210.1784/insi.2019.61.9.542 ↗
12. 10.1016/j.measurement.2018.03.03510.1016/j.measurement.2018.03.035 ↗
13. 10.1016/j.measurement.2020.10809010.1016/j.measurement.2020.108090 ↗
14. 10.1016/j.ndteint.2011.11.01010.1016/j.ndteint.2011.11.010 ↗
15. 10.1016/j.ndteint.2018.04.01510.1016/j.ndteint.2018.04.015 ↗
16. 10.1080/10589759.2019.161181710.1080/10589759.2019.1611817 ↗
17. 10.1109/ACCESS.2020.299328510.1109/ACCESS.2020.2993285 ↗
18. Li W, Zhang Z, Zhang YJ, et al. Online detection of coiled tubing defects based on AC electromagnetic field. Non-Destr Test. 2020;42(1):17–22.
19. Yuan XA, Li W, Qi CC, et al. High accuracy evaluation method of underwater structure crack size and profile based on AC electromagnetic field. J China Univ Pet (Ed Nat Sci). 2020;44(6):109–115.
20. 10.1016/j.ndteint.2018.04.00710.1016/j.ndteint.2018.04.007 ↗
21. Kang ZW, Luo FL, Hu YY, et al. Mathematical model of alternating magnetic field measurement and establishment of quasi-uniform intensity field. Non-Destr Test. 2004;26(11):545–551.
22. Kang ZW, Luo FL, Chen DX. Defect identification model for alternating magnetic field measurement. Non-Destr Test. 2005;27(3):123–126.
23. Zhou ZM, Zhang LL, Yang KL. Simulation analysis of weld volume type and cluster type defect detection based on ACFM. J Meas Technol. 2019;33(1):1–8.
24. Ni CS, Chen GM, Zhang YT. Numerical simulation and optimization of excitation coils for AC electromagnetic field detection probe. J China Univ Pet (Ed Nat Sci). 2007;31(2):100–104.
25. 10.1784/insi.2008.50.7.36410.1784/insi.2008.50.7.364 ↗
26. 10.1784/insi.2005.47.12.76510.1784/insi.2005.47.12.765 ↗
27. Zhao Y, Zhu R, Yang B, et al. Simulation analysis and experimental research for quantitative detection method for crack defects based on ACFM technique. J Test Meas Technol. 2009;23(6):550–556.
28. Ni CS, Chen GM, Li W. Structure optimization and experimental test of ACFM detection coils. Chin J Sensors Actuators. 2007;20(2):370–373.
29. Chen C, Sun HD, Wen QS, et al. Research on crack detection and optimization of autoclave tooth based on ACFM method. Hot Work Technol. 2021;50(2):36–40.
30. 10.1016/j.ndteint.2016.01.00310.1016/j.ndteint.2016.01.003 ↗
31. Ge YC, Zhang Y, Leng JC, et al. AC electromagnetic field testing of welding seam of offshore rig base. Non-Destr Test. 2015;37(7):77–80.
32. 10.4028/www.scientific.net/AMR.881-883.177310.4028/www.scientific.net/AMR.881-883.1773 ↗