Analysis of the variation of the magnetic flux around rectangular and triangular defects in ferromagnetic plates

Abstract

This article, framed within the context of the project called Development of an expert system for the modelling and monitoring of surface cracks (triangular and rectangular type) in ferromagnetic pipes using the magnetic memory method, presents the analysis of the variation of the magnetic flux around rectangular and triangular defects in ferromagnetic plates. This analysis uses a methodology with an exploratory study of numerical models based on existing analytical models. The obtained numerical models will serve as a basis when comparing them with experimental results to quantify the magnitude of the defects. The results determined, through data analysis, that it is possible to detect and classify the size and shape of rectangular and triangular surface defects with a high degree of certainty and high levels of reliability using the tangential and normal components of these defects.

https://doi.org/10.15174/au.2020.2336
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References

Dubov, A. (2006). Principle features of Metal Magnetic Memory Method and Inspection Tools As Compared To Known Magnetic NDT Methods. Cinde Journal, 27(3), 16. Retrieved from http://www.ndt.net/article/ecndt2006/doc/Tu.1.6.5.pdf

Huang, H., Jiang, S., Yang, C., & Liu, Z. (2014). Stress concentration impact on the magnetic memory signal of ferromagnetic structural steel. Nondestructive Testing and Evaluation, 29(4), 377–390. http://doi.org/10.1080/10589759.2014.949710

Jiancheng, L., Minqiang, X., Jianwei, L., & Jianzhong, Z. (2010). Characterization of the Elastic-plastic Region Based on Magnetic Memory Effect. Chinese Journal of Mechanical Engineering, 23(4), 532–536. http://doi.org/10.3901/CJME.2010.04.

Leng, J. C., Xing, H. Y., Zhou, G. Q., & Gao, Y. T. (2013). Dipole modelling of metal magnetic memory for V-notched plates. Insight: Non-Destructive Testing and Condition Monitoring, 55(9), 498–503. http://doi.org/10.1784/insi.2012.55.9.498

Pengpeng, S., & Xiaojing, Z. (2015). Magnetic charge model for 3D MMM signals. Nondestructive Testing and Evaluation, 31(1), 45–60. http://doi.org/10.1080/10589759.2015.1064121

Suresh, V., & Abudhair, A. (2016). Dipole model to predict the rectangular defect on ferromagnetic pipe. Journal of Magnetics, 21(3), 437–441. http://doi.org/10.4283/JMAG.2016.21.3.437

Wang, Z. D., Gu, Y., & Wang, Y. S. (2012). A review of three magnetic NDT technologies. Journal of Magnetism and Magnetic Materials, 324(4), 382–388. http://doi.org/10.1016/j.jmmm.2011.08.048

Wang, Z. D., Yao, K., Deng, B., & Ding, K. Q. (2010a). Quantitative study of metal magnetic memory signal versus local stress concentration. NDT & E International, 43(6), 513–518. http://doi.org/10.1016/j.ndteint.2010.05.007

Wang, Z. D., Yao, K., Deng, B., & Ding, K. Q. (2010b). Theoretical studies of metal magnetic memory technique on magnetic flux leakage signals. NDT & E International, 43(4), 354–359. http://doi.org/10.1016/j.ndteint.2009.12.006

Yao, K., Deng, B., & Wang, Z. D. (2012). Numerical studies to signal characteristics with the metal magnetic memory-effect in plastically deformed samples. NDT and E International, 47, 7–17. http://doi.org/10.1016/j.ndteint.2011.12.004