Experiment on relationship between the magnetic gradient of low-carbon steel and its stress

Xing-liang, Jian; Jian, Xingchao; Deng, Guoyong

doi:10.1016/j.jmmm.2009.06.077

Cited by 40 publications

(16 citation statements)

References 8 publications

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“…Experimental studies based on MMM signals have been carried out to investigate fatigue damage of ferromagnetic materials [15][16][17][18][19][20][21][22][23][24][25]. Li et al [20] measured the variation of H p (y) signals during rotary bending fatigue experiments, and the results showed that magnetization under tensile stress was different from that under compressive stress.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Metal Magnetic Memory Testing of 35CrMo Steel during Fatigue Loading

Fan

Dai

et al. 2018

Metals

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Abstract:The fatigue fracture of a drillstring could cause drilling disturbances and some negative impacts (e.g., economic loss) will be brought when restoring the drillstring to functionality. In order to evaluate the effects of the fatigue damage of the drillstring during drilling, a new apparatus, which could monitor the load level in real-time, was built to perform the four-point bending fatigue test on 35CrMo steel, a typical material of drillstrings. Such an apparatus is based on metal magnetic memory (MMM) technology and can acquire the tangential and normal components of MMM signals. Based on the analysis of the change of surface morphology and MMM signals, it was concluded that the variation of MMM signals could be divided into four stages, which are used to accurately describe the fatigue damage process of the drillstring. Additionally, the MMM signal characteristics are introduced to especially evaluate the fatigue damage of the drillstring, including crack initiation. Furthermore, the scanning electron microscopy (SEM) results demonstrated that morphologies of fatigue fracture were related to the variation of MMM signals. Linear fitting results indicated that fatigue crack length had a good linear relationship with the characteristics, so it is feasible to monitor fatigue damage and predict the residual life of a drillstring by using MMM technology.

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Section: Introductionmentioning

confidence: 99%

Characteristics of Metal Magnetic Memory Testing of 35CrMo Steel during Fatigue Loading

Fan

Dai

et al. 2018

Metals

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“…Hence, more magnetic charges are accumulated on the surface of the fatigue crack, generating a more significant abnormal magnetic peak [7]. The MMM mechanism was described in elastic stress using a modified J-A model in fatigue testing [8] and the relationship between the magnetic gradient and the stress was investigated under different measuring conditions [9]. Other research investigated the law of fatigue damage in a period of high-cycle fatigue testing using the magnetic signals [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Evaluating effect of magnetic flux leakage signals on fatigue crack growth of mild steel

Ahmad

Arifin²,

Abdullah³

2016

J. Mech, Eng, Sci.

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In engineering applications, analysis of crack growth life is useful in situations where an unexpected crack has been found in a component of a machine, vehicle, or structure. The objectives of this research are to investigate the correlation curve of magnetic flux leakage, Hp(y) signals by evaluating their critical value point with respect to step size. Moreover, the relation of the fatigue crack growth rate, da/dN with the stress intensity range, ΔK and Hp(y) in metal components is also discussed in this paper. The tensiontension fatigue test was conducted with the metal magnetic memory (MMM) scanning device and crack opening displacement (COD) gauges at 10 Hz (testing frequency) by applying a load of 3.0-5.0 kN. As a result, the correlation curve of Hp(y) was built with the R-squared values in the range of 0.99 and a mathematical model was developed for estimation analysis. The sigmoidal shape curve was plotted on the graph of da/dN versus ΔK and also with Hp(y). Thus, for validation, the linear relation is represented between ΔK and Hp(y) and presents a good approach for magnetic parameters to be developed for fatigue crack growth analysis. Therefore, the magnetic method has a greater capability to analyse the fatigue crack propagation life in a real application.

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“…This limitation has attracted increasing attention in recent years. [7][8][9][10][11] Studies have focused on the magnetomechanical effects of uniformly distributed stress. Few investigations have centered on the quantitative relation of the characteristic of MMM with non-uniformly distributed stresses, although such stresses are the key cause of the MMM phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of the relationship between non-uniform stresses and residual magnetizations under geomagnetic fields

Chen

2016

AIP Advances

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The quantitative relationship between non-uniform stresses and stress-induced residual magnetizations in ferromagnetic materials under geomagnetic fields was investigated. A ferromagnetic steel specimen with two symmetric notches was stretched to generate a non-uniform stress distribution. The residual leakage magnetic field and surface strain of the specimen were detected. Stress distribution was calculated according to the tested stress–strain curve of the material. The residual magnetization inside the specimen was reconstructed using residual leakage magnetic field signals. The quantitative relationship between stress and stress-induced residual magnetization was then established. Stress-induced residual magnetization was observed along the stress direction, and the intensity of the residual magnetization increased almost linearly with increasing stress.

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Experiment on relationship between the magnetic gradient of low-carbon steel and its stress

Cited by 40 publications

References 8 publications

Characteristics of Metal Magnetic Memory Testing of 35CrMo Steel during Fatigue Loading

Characteristics of Metal Magnetic Memory Testing of 35CrMo Steel during Fatigue Loading

Evaluating effect of magnetic flux leakage signals on fatigue crack growth of mild steel

Quantitative analysis of the relationship between non-uniform stresses and residual magnetizations under geomagnetic fields

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