journal article·2026-09

Metal Magnetic Memory Testing Signals Response to Alternating Stress during On-line Measurement of Ferromagnetic Steel

Huipeng Wang, Jialong Shi, Qiaogen Wang, Haihang Li, Lihong Dong, Haidou Wang, Huizhong Liu

Publisher page

Abstract

No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.

Source: Not provided · Quality: missing

Research context

OpenAlex topics: Magnetic Properties and Applications · Non-Destructive Testing Techniques · Microstructure and Mechanical Properties of Steels

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

References (36)

Show source-provided references
1. Brian, W., Krzysztof, M., Antonios, K.: The use of nondestructive evaluation methods in fatigue: a review. Fatigue Fract. Eng. Mater. Struct. 43(5), 859–878 (2020)10.1111/ffe.13208 ↗
2. Guo, J., Fu, H.Y., Pan, B., Kang, R.K.: Recent progress of residual stress measurement methods: a review. Chin. J. Aeronaut. 34(2), 54–78 (2021)10.1016/j.cja.2019.10.010 ↗
3. Dubov, A.: A study of metal properties using the method of magnetic memory. Met. Sci. Heat Treat. 39(9–10), 401–402 (1997)10.1007/BF02469065 ↗
4. Shi, P.P., Su, S.Q., Chen, Z.M.: Overview of researches on the nondestructive testing method of metal magnetic memory: status and challenges. J. Nondestruct. Eval. 39(2), 1–37 (2020)10.1007/s10921-020-00688-z ↗
5. Ren, S.K., Ren, X.Z., Duan, Z.X., Fu, Y.W.: Studies on influences of initial magnetization state on metal magnetic memory signal. NDT Int. 103(1), 77–83 (2019)10.1016/j.ndteint.2019.02.002 ↗
6. Yao, K., Wu, L.B., Wang, Y.S.: Nondestructive evaluation of contact damage of ferromagnetic materials based on metal magnetic memory method. Exp. Tech. 43(3), 273–285 (2019)10.1007/s40799-019-00311-5 ↗
7. Shi, P.P., Zhang, P.C., Jin, K., Chen, Z.M., Zheng, X.J.: Thermo-magneto-elastoplastic coupling model of metal magnetic memory testing method for ferromagnetic materials. J. Appl. Phys. 123(14), 145102 (2018)10.1063/1.5022534 ↗
8. Ni, C., Hua, L., Wang, X.K.: Crack propagation analysis and fatigue life prediction for structural alloy steel based on metal magnetic memory testing. J. Magn. Magn. Mater. 462, 144–152 (2018)10.1016/j.jmmm.2018.05.019 ↗
9. Zhou, W., Fan, J.C., Ni, J.L., et al.: Variation of magnetic memory signals in fatigue crack initiation and propagation behavior. Metals 9, 89 (2019)10.3390/met9010089 ↗
10. Zhang, K., Zhang, J., Jin, W.L., Mao, J.H., Xu, Y.D., Li, Q.: Characterization of fatigue crack propagation of pitting-corroded rebars using weak magnetic signals. Eng. Fract. Mech. 257, 108033 (2021)10.1016/j.engfracmech.2021.108033 ↗
11. He, Y.M., Xue, Q.L., Hai, W.G., Xing, X.S., Wu, X.D., Fu, X.: Experimental study on fatigue damage of drilling tool materials based on magnetic memory detection. Machines 11(701), 701 (2023)10.3390/machines11070701 ↗
12. Xie, Z.Y., Zhang, D.W., Ueda, T., Jin, W.L.: Fatigue damage analysis of prefabricated concrete composite beams based on metal magnetic memory technique. J. Magn. Magn. Mater. 544, 168722 (2022)10.1016/j.jmmm.2021.168722 ↗
13. He, Z.F., Zhang, H., Ma, H., Zou, Y., Zhou, J.T., Liao, L.: Study on magnetic memory detection of weld fatigue damage by using the relative entropy theory. J. Magn. Magn. Mater. 570, 170472 (2023)10.1016/j.jmmm.2023.170472 ↗
14. Sahadan, S.N., Abdullah, S., Arifin, A., Singh, S.S.K.: Assessing the magnetic flux leakage contraction parameters for the fatigue life prediction of SAE1045 steel specimens. Structures 34, 4077–4085 (2021)10.1016/j.istruc.2021.10.004 ↗
15. Anuar, N.H., Abdullah, S., Singh, S.S.K., Arifin, A.: Characterisation of steel components fatigue life phenomenon based on magnetic flux leakage parameters. Exp. Tech. 45(2), 133–142 (2021)10.1007/s40799-020-00419-z ↗
16. Arifin, A., Abdullah, S., Ariffin, A.K., Jamaluddin, N., Singh, S.S.K.: Characterising the stress ratio effect for fatigue crack propagation parameters of SAE 1045 steel based on magnetic flux leakage. Theor. Appl. Fract. Mec. 121, 103514 (2022)10.1016/j.tafmec.2022.103514 ↗
17. Su, S.Q., Yang, Y.Y., Wang, W., Ma, X.P.: Crack propagation characterization and statistical evaluation of fatigue life for locally corroded bridge steel based on metal magnetic memory method. J. Magn. Magn. Mater. 536, 168136 (2021)10.1016/j.jmmm.2021.168136 ↗
18. Zhao, X.R., Su, S.Q., Wang, W., Zhang, X.H.: Metal magnetic memory inspection of Q345B steel beam in four point bending fatigue test. J. Magn. Magn. Mater. 514, 167155 (2020)10.1016/j.jmmm.2020.167155 ↗
19. Yang, Y.Y., Ma, X.P., Su, S.Q., Wang, W.: Theoretical and experimental analysis of the correlation between magnetic memory signals and cumulative ductile damage of butt weld under low cycle fatigue. J. Magn. Magn. Mater. 580, 170911 (2023)10.1016/j.jmmm.2023.170911 ↗
20. Su, S.Q., Li, J.T., Wang, W., Liu, X.W., Zuo, F.L., Deng, R.Z.: Metal magnetic memory characterization of fatigue crack propagation of Q345qD bridge steel under the influence of stress ratio. J. Magn. Magn. Mater. 593, 171888 (2024)10.1016/j.jmmm.2024.171888 ↗
21. Liu, B., Zeng, Z.H., Wang, H.P.: Study on the early fatigue damage evaluation of high strength steel by using three components of metal magnetic memory signal. NDT Int. 117, 102380 (2021)10.1016/j.ndteint.2020.102380 ↗
22. Wang, H.P., Xu, Z.W., Cai, D.W., Dong, L.H., Ma, G.Z., Wang, H.D., Liu, B.: Stress evaluation of welded joints with metal magnetic memory testing based on tension-compression fatigue test. Materials 15(9), 3103 (2022)10.3390/ma15093103 ↗
23. Wang, H.P., Dong, L.H., Wang, H.D., Ma, G.Z., Xu, B.S., Zhao, Y.C.: Effect of tensile stress on metal magnetic memory signals during on-line measurement in ferromagnetic steel. NDT Int. 117, 102378 (2021)10.1016/j.ndteint.2020.102378 ↗
24. Jiles, D.C.: Theory of the magnetomechanical effect. J. Phys. D Appl. Phys. 28(8), 1537–1546 (1999)10.1088/0022-3727/28/8/001 ↗
25. Dubov, A., Kolokolnikov, S.: The metal magnetic memory method application for online monitoring of damage development in steel pipes and welded joints specimens. Weld. World 57, 123–136 (2013)10.1007/s40194-012-0011-5 ↗
26. Dong, L.H., Wang, C.Y., Wang, H.D., Xia, W.X., Wang, H.P., Li, Z.X.: Research on the microphysical mechanism of metal magnetic memory testing through 45 # steel under compressive stress. Results Eng. 21, 101733 (2024)10.1016/j.rineng.2023.101733 ↗
27. Deli, K., Andras, K., Michalis, C., Markus, A., Lilian, P., Vladimir, T., Dennis, M., Xiaodong, H., Istvan, K., Rafal, E.D., et al.: Strain engineering of magnetic anisotropy in the Kagome magnet Fe3Sn2. ACS Nano 19(8), 8142–8151 (2025)10.1021/acsnano.4c16603 ↗
28. Cullity, B.D., Graham, C.D.: Introduction to magnetic materials (2nd edition). Wiley-IEEE Press, New Jersey (2008)10.1002/9780470386323 ↗
29. Bozorth, R.M.: Ferromagnetism. Wiley-IEEE Press, New Jersey (1993)10.1109/9780470544624 ↗
30. Jiles, D.C., Atherton, D.L.: Theory of ferromagnetic hysteresis. J. Magn. Magn. Mater. 61(1–2), 48–60 (1986)10.1016/0304-8853(86)90066-1 ↗
31. Richard, H.M., Harvery, R., Robert, J.S.: Magnetostrictive phenomena in metallic materials and some of their device applications. IEEE Trans. Magn. 7(1), 29–48 (1971)10.1109/TMAG.1971.1067004 ↗
32. Craik, D.J., Wood, M.J.: Magnetization changes induced by stress in a constant applied field. J. Phys. D Appl. Phys. 3(7), 1009 (1970)10.1088/0022-3727/3/7/303 ↗
33. Shi, P.P., Jin, K., Zheng, X.J.: A general nonlinear magnetomechanical model for ferromagnetic materials under a constant weak magnetic field. J. Appl. Phys. 119, 145103 (2016)10.1063/1.4945766 ↗
34. Vlasov, V.T., Dubov, A.A.: Physical bases of the metal magnetic memory method (2nd edition). Spektr Press, Moscow (2019)
35. Bohanon, B., Wei, P., Foster, A., Bazar, L., Zhang, Y.F., Spearot, D., Bachhav, M., Capolungo, L., Aitkaliyeva, A.: A critical review of irradiation-induced changes in reactor pressure vessel steels. Prog. Nucl. Energ. 174, 105276 (2024)10.1016/j.pnucene.2024.105276 ↗
36. Liu, B., Ma, Z.Y., He, L.Y., Wang, D., Zhang, H., Ren, J.: Quantitative study on the propagation characteristics of MMM signal for stress internal detection of long distance oil and gas pipeline. NDT Int. 100(1), 40–47 (2018)10.1016/j.ndteint.2018.08.006 ↗