Micro-mechanism of metal magnetic memory signal variation during fatigue

Xu, Ming; Zhanghua, Chen; Xu, Min

doi:10.1007/s12613-014-0903-z

Cited by 18 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As fatigue cycle numbers increased, the change in the maximal value of surface magnetic flux density of 304 stainless steel was discussed, and the phase transformation was seen as the main reason [17]. Besides that, the fatigue stress of ferromagnetic material was also evaluated, and the relation of fatigue cycle and H p (y) signal was discussed [18][19][20][21][22]. While it should be noted that defects exist inevitably in material, its effect on stress evaluation is discussed rarely, so designing the method for discussing its influence on stress evaluation and explain its results clearly are very important.…”

Section: Introductionmentioning

confidence: 99%

Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology

Liu

et al. 2019

Materials

View full text Add to dashboard Cite

Based on the magneto-mechanical effect, the influence of crack size on stress evaluated with metal magnetic memory (MMM) technology was discussed in this paper. Based on equivalent theory, the regular rectangular grooves, with different widths and depths, were precut in the surface of an experimental sample for simulating surface crack, and a three dimensional electrically controlled displacement system was used to collect the Hp(y) signal of the sample under different stresses, and the fracture morphology was observed by using scanning electron microscopy (SEM). The results show that the influence of detection line on Hp(y) signal can be ignored; as stress increases, the Hp(y) signal turns counterclockwise around zero-crossing point and its mutation, corresponding to the location of groove, becomes distinct gradually. When groove depth is constant, the magnetic intensity gradient changes in the form of quadratic polynomial as groove width increases, and when the groove width is the same, the magnetic intensity gradient is a linear function of groove depth. When stress reaches the yield strength of the material, the magnetic intensity gradient decreases gradually as stress increases further, and the orientation of magnetic domain is seen as the main reason for that result. At last, the experimental results are discussed based on the piezomagnetic effect and leakage magnetic field theory of finite depth slit model, and the change of magnetic domain orientation is considered to be the main reason.

show abstract

Section: Introductionmentioning

confidence: 99%

Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology

Liu

et al. 2019

Materials

View full text Add to dashboard Cite

show abstract

“…This is because the crystal grains of the material were intact, and the internal defects and cracks mainly came from the production and processing processes. In the early stage of fatigue, due to the quick growth of the plastic strain, the dislocation within the material increased rapidly to a stable state, and microcracks began to initiate during this process 29 . In the middle stage of fatigue, the plastic strain grew slightly.…”

Section: Analysis and Discussion Of The Resultsmentioning

confidence: 99%

Prediction of fatigue damage in ribbed steel bars under cyclic loading with a magneto-mechanical coupling model

Zhang¹,

Huang²,

Zhang

et al. 2021

Journal of Magnetism and Magnetic Materials

View full text Add to dashboard Cite

“…Because the physical mechanism of MMM method is still unclear so far, many researchers have devoted their efforts to investigate variation regularities of MMM signals in the laboratory. Previous research on the MMM method concentrated on the variation of MMM signal under tensile stresses, cyclic tensile-compressive stress, and the magneto mechanical effect, and the physical mechanism of the metal magnetic memory phenomenon has also been discussed in rotary bending fatigue experiments [8][9][10][11]. Although several experimental studies have been carried out and many important achievements have been made, most of the research focuses on analyzing normal components of magnetic leakage fields, and little work has been done on MMM engineering signal processing.…”

Section: Introductionmentioning

confidence: 99%

New Method of Metal Magnetic Memory Signal Measuring and Denoising

Deng¹,

Chen²,

Tang³

et al. 2019

IJPE

View full text Add to dashboard Cite

The metal magnetic memory (MMM) technique can be effective in determining the initial damage of materials and structures in service and is partly applied in engineering. However, the real signals measured in engineering practice usually contain interference of the background magnetic field and measurement noise. For the influence of the background magnetic field, we designed a measuring probe constituted by two magnetic sensors that were arranged at different heights in the same vertical direction. Through the channel compensated method, we extracted principal features of the self-magnetic leakage field (SMLF) signal. As for the influence of measurement noise, we built the structure elements combined with the SMLF signal characteristic and investigated multi-scale morphological filtering to reduce the noise. The simulation and experiment results show that the proposed methods can not only suppress the background magnetic field and many kinds of noise but also protect the SMLF signal detail effectively.

show abstract

Micro-mechanism of metal magnetic memory signal variation during fatigue

Cited by 18 publications

References 13 publications

Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology

Influence of Crack Size on Stress Evaluation of Ferromagnetic Low Alloy Steel with Metal Magnetic Memory Technology

Prediction of fatigue damage in ribbed steel bars under cyclic loading with a magneto-mechanical coupling model

New Method of Metal Magnetic Memory Signal Measuring and Denoising

Contact Info

Product

Resources

About