Researches on Stress Concentration and Fatigue Damage for Ferromagnetic Specimen by Permeability Testing Technology
International Journal of Mechanical Engineering and Applications
Volume 5, Issue 4, August 2017, Pages: 203-207
Received: May 7, 2017; Accepted: May 22, 2017; Published: Jul. 10, 2017
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Authors
Ren Shangkun, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China
Ren Xianzhi, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China
Yang Meifang, Key Laboratory of Nondestructive Testing of Ministry of Education, Nanchang Hangkong University, Nanchang, China
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Abstract
The permeability testing technology are new testing and evaluating method, which based on the electromagnetic induction principle, can realize the test and evaluate high sensitively of stress concentration and fatigue damage for ferromagnetic specimen. Taking Q235 and 45 steel for examples, the relationships of the detection signal and the tensile stress, residual stress, fatigue damage are studied from experiments. The results indicate that permeability testing technology can be used effectively to measure the stress state of specimen and the maximum stress suffered before. According to the residual stress signal after suffer tensile, the maximum stress to be suffered before can be determined with high sensitively. It shows that detection sensitivity of the fatigue damage is less than that of stress concentration. The detection sensitivity of fatigue damage for Q235 steel is greater than that of steel 45 steel. The results indicate that the permeability testing technology has a broad application prospect.
Keywords
Non-Destructive Testing, Permeability Detection, Residual Stress, Fatigue Damage
To cite this article
Ren Shangkun, Ren Xianzhi, Yang Meifang, Researches on Stress Concentration and Fatigue Damage for Ferromagnetic Specimen by Permeability Testing Technology, International Journal of Mechanical Engineering and Applications. Vol. 5, No. 4, 2017, pp. 203-207. doi: 10.11648/j.ijmea.20170504.13
Copyright
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Yang E, Li L. M, Chen X, Magnetic field aberration induced by cycle stress [J]. Journal of magnetism and magnetic materials, 2007, 312 (1): 72-77.
[2]
S. K Ren, et al. Studies on stress-magnetism coupling effect for 35 steel components [J]. Insight: Non-Destructive Testing and Condition Monitoring, 2010, 52 (6): 305-309.
[3]
S. K. Ren, et al. Influences of environmental magnetic field on stress magnetism effect for 20 steel ferromagneticspecimen [J]. Insight: Non-Destructive Testing and Condition Monitoring, 2009, 51 (12): 672-675.
[4]
Dong Lihong, Xu Binshi, Dong Shiyun, et al. Variation of stress-induced magnetism signals during tensile testing of ferromagnetic steels [J]. NDT&E International, 2008, 41: 184-149.
[5]
Li Xiaomeng, Lu Kefei, Li Getian. Magnetic memory effect in static tension of steel of Q235 [J]. Physical Testing, 2013, 31 (5): 10-13.
[6]
Yu Runqiao, Xu Changying. Based on the metal magnetic memory drill nondestructive evaluation techniques [J]. Journal of iron and Steel Research, 2011, 23 (11): 59-62.
[7]
Duan Zhenxia, Ren Taikun, Xi Xiaowen. magnetization reversal characteristics of 40Cr steel stress magnetization process [J]. Journal of iron and Steel Research, 2016 (1).
[8]
I. Tomas, O Stupakov, J Kadlecova, O. Perevertov Magnetic adaptive testing-low magnetization, high sensitivity assessment of material modifications. Journal of Magnetism and Magnetic Materials, 2006, 304 (2): 168-171.
[9]
Wan Z, Liao J, Wang Y, et al. Research on metal tubing pit corrosion monitoring based on potential-array method [J]. Chinese Journal of Scientific Instrument, 2011, 32 (1): 19-25.
[10]
Liu J, Feng J. Research on leak fault intelligent detection method for fluid pipeline based on fuzzy classification [J]. Chinese Journal of Scientific Instrument, 2011, 32 (1): 26-32.
[11]
Gao W, Hu Y, Mu X, et al. Real-time detection and segmentation of submerged-arc welding defects in X-ray radiography images [J]. Chinese Journal of Scientific Instrument, 2011, 32 (6): 1215-1224.
[12]
G. Vertesy, T. Uchimoto, I. Tomas, T Takagi. Nondestructive characterization of ductile cast iron by magnetic adaptive testing. Journal of Magnetism and Magnetic Materials, 2010, 322 (20): 3117-3121
[13]
I. Tomas. Magnetic Adaptive Testing of Non-magnetic Properties of Ferromagnetic Materials. Czechoslovak Journal of Physics, 2004, 54, (4): 23-26
[14]
G. Vertesy, I. Tomas, I. Meszaros. Non-destructive indication of plastic deformation of cold-rolled stainless steel by magnetic adaptive testing. Journal of Magnetism and Magnetic Materials, 2007, 310 (1): 76-82.
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