Theoretical investigation of metal magnetic memory testing technique for detection of magnetic flux leakage signals from buried defect

Abstract The metal magnetic memory testing (MMMT) technique has been extensively applied in various fields because of its unique advantages of easy operation, low cost and high efficiency. However, very limited theoretical research has been conducted on application of MMMT to buried defects. To promote study in this area, the equivalent magnetic charge method is employed to establish a self-magnetic flux leakage (SMFL) model of a buried defect. Theoretical results based on the established model successfully capture basic characteristics of the SMFL signals of buried defects, as confirmed via experiment. In particular, the newly developed model can calculate the buried depth of a defect based on the SMFL signals obtained via testing. The results show that the new model can successfully assess the characteristics of buried defects, which is valuable in the application of MMMT in non-destructive testing.

[1]  Yue-Sheng Wang,et al.  Three-dimensional finite element analysis of residual magnetic field for ferromagnets under early damage , 2014 .

[2]  Anatoly Dubov,et al.  The metal magnetic memory method application for online monitoring of damage development in steel pipes and welded joints specimens , 2013, Welding in the World.

[3]  Z. D. Wang,et al.  Theoretical studies of metal magnetic memory technique on magnetic flux leakage signals , 2010 .

[4]  Bin Liu,et al.  Modelling and analysis of magnetic memory testing method based on the density functional theory , 2015 .

[5]  Z. D. Wang,et al.  A review of three magnetic NDT technologies , 2012 .

[6]  Minqiang Xu,et al.  Magnetic field variation induced by cyclic bending stress , 2009 .

[7]  A. Hubert,et al.  Magnetic Domains: The Analysis of Magnetic Microstructures , 2014 .

[8]  Minqiang Xu,et al.  Metal magnetic memory field characterization at early fatigue damage based on modified Jiles-Atherton model , 2012 .

[9]  Yang Liu,et al.  Metal magnetic memory signal response to plastic deformation of low carbon steel , 2013 .

[10]  Z. D. Wang,et al.  Quantitative study of metal magnetic memory signal versus local stress concentration , 2010 .

[11]  Maciej Roskosz,et al.  Evaluation of residual stress in ferromagnetic steels based on residual magnetic field measurements , 2012 .

[12]  Maciej Roskosz,et al.  Analysis of changes in residual magnetic field in loaded notched samples , 2008 .

[13]  Yiliang Zhang,et al.  Application of metal magnetic memory test in failure analysis and safety evaluation of vessels , 2009 .

[14]  A. A. Dubov,et al.  Development of a metal magnetic memory method , 2012, Chemical and Petroleum Engineering.

[15]  F. Förster.  New findings in the field of non-destructive magnetic leakage field inspection , 1986 .

[16]  Zhifeng Liu,et al.  Stress concentration impact on the magnetic memory signal of ferromagnetic structural steel , 2014 .

[17]  Ding Hong-sheng,et al.  Research on the stress-magnetism effect of ferromagnetic materials based on three-dimensional magnetic flux leakage testing , 2014 .

[18]  Maciej Roskosz,et al.  Metal magnetic memory testing of welded joints of ferritic and austenitic steels , 2011 .

[19]  Zhifeng Liu,et al.  Residual magnetic field variation induced by applied magnetic field and cyclic tensile stress , 2014 .

[20]  B. Liu,et al.  Study on Metal Magnetic Memory Testing Mechanism , 2015 .

[21]  A. A. Dubov,et al.  Diagnostics of steam turbine disks using the metal magnetic memory method , 2010 .