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Frontiers of Mechanical Engineering

ISSN 2095-0233

ISSN 2095-0241(Online)

CN 11-5984/TH

Postal Subscription Code 80-975

2018 Impact Factor: 0.989

Front. Mech. Eng.    2010, Vol. 5 Issue (2) : 226-232    https://doi.org/10.1007/s11465-010-0012-2
Research articles
Characteristics of metal magnetic memory signals of different steels under static tension
Yiliang ZHANG,Ruibin GOU,Jimin LI,Gongtian SHEN,
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China;
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Abstract To study the characteristics of metal magnetic memory (MMM) signals of different steels during tensile test, static tension tests were applied to 30 pieces of Q235 and 16MnR base metal and welded specimens. During the various deformation periods, MMM signals are tested, and micrometallographic is observed. Furthermore, the derivative of magnetic intensity (dHp/dx) is analyzed by mathematical and statistical methods to study the macro and micro corresponding relationships and difference among magnetic signals. Results show that despite the different magnetic intensity (Hp) curves of different materials, their dHp/dx patterns in the yielding and necking stages are the same; welded specimens have the similar magnetic signal curves with their base metal, and the welded structure does not interfere with its Hp distribution; different materials have their unique zero point (Hp=0) before being fractured, which is independent of the fracture location; there is a direct relationship between the intragranular slip and the changes of magnetic signals, which indicates the uneven plastic deformation.
Keywords metal magnetic memory (MMM)      magnetic intensity (Hp)      static tension      weld      
Issue Date: 05 June 2010
 Cite this article:   
Yiliang ZHANG,Jimin LI,Ruibin GOU, et al. Characteristics of metal magnetic memory signals of different steels under static tension[J]. Front. Mech. Eng., 2010, 5(2): 226-232.
 URL:  
https://academic.hep.com.cn/fme/EN/10.1007/s11465-010-0012-2
https://academic.hep.com.cn/fme/EN/Y2010/V5/I2/226
Dubov A. Diagnostics of metal and equipment by means of metalmagnetic memory. In: Proceedings of 7thConference on NDT and International Research Symposium, Shantou: 1999, 181–187
Dubov A. The method of metal magnetic memory— The new trend inengineering diagnostics. Welding in theWorld, 2005, 49(3). 314–319
Zhang Y L, Yang S, Xu X. Application of metal magnetic memorytest in failure analysis and safety evaluation of vessels. Frontiers of Mechanical Engineering of China, 2009, 4(1): 40–48

doi: 10.1007/s11465-009-0003-3
Ren J L. Metal magnetic memory testing technique. NDT, 2001, 23(4): 154–156 (in Chinese)
Zhang Y L, Li J M, Shen G T. Analysis about magnetic memory signaland residual stress of 1000 m3 oil tank. Journal of Beijing University of Technology, 2008, 34(supp): 83–88 (in Chinese)
Dubov A. Quality assurance of welded joints in power, chemicaland gas pipeline engineering by the method of metal magnetic memory. Welding in the World, 2008, 52: 709–714
Li L M, Wang X F, Huang S L. The relationship between metal magneticmemory and geomagnetic field. NDT, 2003, 25(8): 387–390 (in Chinese)
Xing H Y, Xu M Q, Zhang J Z. Early damage stress state MMM testing. American Society of Mechanical Engineers, NondestructiveEvaluation Engineering Division (Publication) NDE, 2005, 26: 95–98
Yin D W, Xu B S, Dong S Y, Dong L H, Feng C. Chang of magnetic memorysignals under different testing environments. ACTA Armamentaria, 2007, 28(3): 319–323 (in Chinese)
Zhang J, Zhou K Y. Analysis of the characteristics of the metal magnetic memory signal under differentstress states. Journal of Hefei Universityof Technology, 2007, 30(3): 381–383 (in Chinese)
Dong L H, Xu B S, Dong S Y, Song L, Chen Q Z, Shi C L. Discussion of characterizing stress concentration, residualstress and defect by metal magnetic memory testing. Material Engineering, 2009, (8): 19–23 (in Chinese)
Liu C K, Tao C H, Chen X, Zhang B, Dong, S Y. Research on quantitative assessment of fatigue damage by metal magnetic memory methods. Material Engineering, 2009, (8): 33–37 (in Chinese)
Dong L H, Xu B S, Dong S Y, Chen Q Z, Wang D, Yin D W. The effect of axial tensile load on magnetic memory signalsfrom the surface of medium carbon steel. Chinese Journal of Material Research, 2006, 20(4): 440–444 (in Chinese)
Zhou J H, Lei Y Z. The theoretical discussion on magnetic memory phenomenon about positive magnetostrictionferromagnetism materials. Journal of ZhengzhouUniversity, 2003, 24(3): 101–105 (in Chinese)
Ren S K, Li X L, Ren J L, Xiao Q Y. Studies on physical mechanism of metal magnetic memory testing technique. Journal of Nanchang Hangkong University, 2008, 22(2): 11–17 (in Chinese)
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