DataVXJournal of Nondestructive EvaluationPaper
journal article·2021-12

Influence of Defects on Stress Detection by Magnetic Barkhausen Noise

Hongming Tu, Jianbo Wu, Maciej Roskosz, Chengyong Liu, Shicheng Qiu

Journal of Nondestructive Evaluation· Volume 40· Issue 4
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Source abstract

Abstract

Magnetic Barkhausen noise (MBN) technique is a magnetic non-destructive testing (NDT) method widely used for stress detection of ferromagnetic materials. In the stress detection of pressure equipment such as pipelines, due to the corrosive and high-pressure operating environment, defects often coexist with stresses, which has a great influence on the detection performance of stress by MBN technology. Focusing on this issue, this work theoretically analyzes the effect of defects on MBN excitation field and stress distribution, and experimentally studies the influence of artificial defects on the evaluation of stress state by extracting MBNenergy and envelope curve. The outcome reveals the possibility of using MBN technology for stress detection in defective materials. This work helps to improve the accuracy of stress detection in defective materials.
Source: openaire · Quality: candidate unverified · Source record ↗

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. Chiodo, M.S.G., Ruggieri, C.: Failure assessments of corroded pipelines with axial defects using stress-based criteria: numerical studies and verification analyses. Int. J. Press. Vessels Pip. 86(2–3), 164–176 (2009). https://doi.org/10.1016/j.ijpvp.2008.11.01110.1016/j.ijpvp.2008.11.011 ↗
2. Mingjiang, X., Zhigang, T.: A review on pipeline integrity management utilizing in-line inspection data. Eng. Fail. Anal. 92, 222–239 (2018). https://doi.org/10.1016/j.engfailanal.2018.05.01010.1016/j.engfailanal.2018.05.010 ↗
3. Miroshnichenko, B.I.: The role of a stressed state in the formation of stress-corrosion flaws in pipelines. Russ. J. Nondestr. Test. 44(6), 403–408 (2008). https://doi.org/10.1134/S106183090806006510.1134/S1061830908060065 ↗
4. Ceglias, R.B., Alves, J.M., Botelho, R.A., de Souza Baeta Júnior, E., Brandao L.P.: Residual stress evaluation by X-ray diffraction and hole-drilling in an API 5l × 70 steel pipe bent by hot induction. Mater. Res. 19(5), 1176–1179 (2016). https://doi.org/10.1590/1980-5373-MR-2016-001210.1590/1980-5373-MR-2016-0012 ↗
5. Woo, W., An, G.B., Em, V.T., Wald, A.T.D., Hill, M.R.: Through-thickness distributions of residual stresses in an 80 mm thick weld using neutron diffraction and contour method. J. Mater. Sci. 50(2), 784–793 (2015). https://doi.org/10.1007/s10853-014-8638-910.1007/s10853-014-8638-9 ↗
6. Liu, B., He, Y.Y., Zhang, H., et al.: Study on characteristics of magnetic memory testing signal based on the stress concentration field. IET Sci. Meas. Technol. 11(1), 2–8 (2017). https://doi.org/10.1049/iet-smt.2015.011910.1049/iet-smt.2015.0119 ↗
7. Sadeghi, S., Najafabadi, M.A., Javadi, Y., Mohammadisefat, M.: Using ultrasonic waves and finite element method to evaluate through-thickness residual stresses distribution in the friction stir welding of aluminum plates. Mater. Des. 52, 870–880 (2013). https://doi.org/10.1016/j.matdes.2013.06.03210.1016/j.matdes.2013.06.032 ↗
8. Wang, Z.D., Gu, Y., Wang, Y.S.: A review of three magnetic NDT technologies. J. Magn. Magn. Mater. 324(4), 382–388 (2012). https://doi.org/10.1016/j.jmmm.2011.08.04810.1016/j.jmmm.2011.08.048 ↗
9. Mandal, K., et al.: Detection of stress concentrations around a defect by magnetic Barkhausen noise measurements. J. Appl. Phys. 80(11), 6391–6395 (1996). https://doi.org/10.1063/1.36365710.1063/1.363657 ↗
10. Mandal, K., Loukas, M.E., Corey, A., Atherton, D.L.: Magnetic Barkhausen noise indications of stress concentrations near pits of various depths. J. Magn. Magn. Mater. 175(3), 255–262 (1997). https://doi.org/10.1016/S0304-8853(97)00278-310.1016/S0304-8853(97)00278-3 ↗
11. Mandal, K., Dufour, D., Atherton, D.L.: Use of magnetic Barkhausen noise and magnetic flux leakage signals for analysis of defects in pipeline steel. IEEE Trans. Magn. 35(3), 2007–2017 (2002). https://doi.org/10.1109/20.76490110.1109/20.764901 ↗
12. Cizeau, P., Zapperi, S., Durin, G., Stanley, H.E.: Dynamics of a ferromagnetic domain wall and the Barkhausen effect. Phys. Rev. Lett. 79(23), 4669–4672 (1997). https://doi.org/10.1103/PhysRevLett.79.466910.1103/PhysRevLett.79.4669 ↗
13. Jiles, D.C.: Dynamics of domain magnetization and the Barkhausen effect. Czechoslov. J. Phys. 50(8), 893–924 (2000). https://doi.org/10.1023/A:102284612846110.1023/A:1022846128461 ↗
14. Shilling, J., Houze, G., Jr.: Magnetic properties and domain structure in grain-oriented 3% Si–Fe. IEEE Trans. Magn. (1974). https://doi.org/10.1109/tmag.1974.105831710.1109/tmag.1974.1058317 ↗
15. Qiu, F., Klug, M.J., Tian, G.Y., Hu, P., Mccord, J.: Influence of magnetic domain wall orientation on Barkhausen noise and magneto-mechanical behavior in electrical steel. J. Phys. D 52(26), 265001 (2019). https://doi.org/10.1088/1361-6463/ab182d10.1088/1361-6463/ab182d ↗
16. Gur, C.: Review of residual stress measurement by magnetic Barkhausen noise technique. Mater. Perform. Charact. 7(4), 504–525 (2018). https://doi.org/10.1520/MPC2017008010.1520/MPC20170080 ↗
17. Liu, X., Dong, H., et al.: Quantitative evaluation of residual stress and surface hardness in deep drawn parts based on magnetic Barkhausen noise technology. Measurement 168, 108473 (2020). https://doi.org/10.1016/j.measurement.2020.10847310.1016/j.measurement.2020.108473 ↗
18. Mandache, C., Krause, T.W., Clapham, L.: Investigation of optimum field amplitude for stress dependence of magnetic Barkhausen noise. IEEE Trans. Magn. 43(11), 3976–3983 (2007). https://doi.org/10.1109/TMAG.2007.90479310.1109/TMAG.2007.904793 ↗
19. Wu, J., Liu, C., Li, E., Zhu, J., Ding, S., Wang, Y.: Motion-induced magnetic Barkhausen noise for evaluating applied stress in pipelines. J. Nondestr. Eval. 39(4), 83 (2020). https://doi.org/10.1007/s10921-020-00729-710.1007/s10921-020-00729-7 ↗
20. Moorthy, V., Shaw, B.A., Hopkins, P.: Surface and subsurface stress evaluation in case-carburised steel using high and low frequency magnetic Barkhausen emission measurements. J. Magn. Magn. Mater. 299(2), 362–375 (2006). https://doi.org/10.1016/j.jmmm.2005.04.02810.1016/j.jmmm.2005.04.028 ↗
21. Mierczak, L., Jiles, D.C., Fantoni, G.: A new method for evaluation of mechanical stress using the reciprocal amplitude of magnetic Barkhausen noise. IEEE Trans. Magn. 47(2), 459–465 (2011). https://doi.org/10.1109/TMAG.2010.209141810.1109/TMAG.2010.2091418 ↗
22. Kasai, N., Koshino, H., Sekine, K.: Study on the effect of elastic stress and microstructure of low carbon steels on Barkhausen noise. J. Nondestr. Eval. 32(3), 277–285 (2013). https://doi.org/10.1007/s10921-013-0180-110.1007/s10921-013-0180-1 ↗
23. Stefanita, C.-G., et al.: Plastic versus elastic deformation effects on magnetic Barkhausen noise in steel. Acta Mater. 48(13), 3545–3551 (2000). https://doi.org/10.1016/S1359-6454(00)00134-810.1016/S1359-6454(00)00134-8 ↗
24. Chavez-Gonzalez, A.F., Perez-Benitez, J.A.: A model for the influence of plastic deformation on magnetic Barkhausen Noise in carbon steel. Mater. Res. Express 6(10), 106119 (2019). https://doi.org/10.1088/2053-1591/ab405b10.1088/2053-1591/ab405b ↗
25. Yamaura, S., Furuya, Y., Watanabe, T.: The effect of grain boundary microstructure on Barkhausen noise in ferromagnetic materials. Acta Mater. 49(15), 3019–3027 (2001). https://doi.org/10.1016/S1359-6454(01)00189-610.1016/S1359-6454(01)00189-6 ↗
26. Krause, T.W., Clapham, L., Pattantyus, A., et al.: Investigation of the stress-dependent magnetic easy axis in steel using magnetic Barkhausen noise. J. Appl. Phys. 79(8), 4242 (1996). https://doi.org/10.1063/1.36187810.1063/1.361878 ↗
27. Krause, T.W., Makar, J.M., Atherton, D.L.: Investigation of the magnetic field and stress dependence of 180° domain wall motion in pipeline steel using magnetic Barkhausen noise. J. Magn. Magn. Mater. 137(1–2), 25–34 (1994). https://doi.org/10.1016/0304-8853(94)90185-610.1016/0304-8853(94)90185-6 ↗
28. Usarek, Z., Augustyniak, B., Augustyniak, M.: Separation of the effects of notch and macroresidual stress on the MFL signal characteristics. IEEE Trans. Magn. 50(11), 6201204 (2014). https://doi.org/10.1109/TMAG.2014.232343410.1109/TMAG.2014.2323434 ↗
29. Franco, F.A., Padovese, L.R.: NDT flaw mapping of steel surfaces by continuous magnetic Barkhausen noise: volumetric flaw detection case. NDT & E Int. 42(8), 721–728 (2009). https://doi.org/10.1016/j.ndteint.2009.06.00710.1016/j.ndteint.2009.06.007 ↗
30. Perez-Benitez, J.A., Capo-Sanchez, J., Padovese, L.R.: Modeling of the Barkhausen jump in low carbon steel. J. Appl. Phys. (2008). https://doi.org/10.1063/1.284005810.1063/1.2840058 ↗
31. Alessandro, B., Beatrice, C., Bertotti, G., Montorsi, A.: Domain-wall dynamics and Barkhausen effect in metallic ferromagnetic materials. I. Theory. J. Appl. Phys. 68(6), 2901–2907 (1990). https://doi.org/10.1063/1.34642310.1063/1.346423 ↗
32. Moorthy, V.: Important factors influencing the magnetic Barkhausen noise profile. IEEE Trans. Magn. 52(4), 1–13 (2016). https://doi.org/10.1109/TMAG.2015.250222210.1109/TMAG.2015.2502222 ↗
33. Martinez-Ortiz, P., Perez-Benitez, J.A., Espina-Hernandez, J.H., Caleyo, F., Mehboob, N., Groessinger, R., et al.: Influence of the maximum applied magnetic field on the angular dependence of magnetic Barkhausen noise in API 5l steels. J. Magn. Magn. Mater. 401, 108–115 (2016). https://doi.org/10.1016/j.jmmm.2015.10.03610.1016/j.jmmm.2015.10.036 ↗
34. An, L.S., Park, Y.C., Kim, H.K.: A numerical study of the tensile stress concentration in a hemi-ellipsoidal corrosion pit on a plate. Int. J. Steel Struct. 19(2), 530–542 (2019). https://doi.org/10.1007/s13296-018-0134-710.1007/s13296-018-0134-7 ↗
35. Peterson, R.E., Plunkett, R.: Stress concentration factors. Nav. Eng. J. 67(3), 697–708 (2010). https://doi.org/10.1111/j.1559-3584.1955.tb03141.x10.1111/j.1559-3584.1955.tb03141.x ↗
36. Thomas, J.: The application of wavelet shrinkage denoising to magnetic Barkhausen noise measurements. AIP Conf. Proc. 1581, 1287–1292 (2014). https://doi.org/10.1063/1.486496910.1063/1.4864969 ↗