Characteristics of metal magnetic memory signals of different steels in high cycle fatigue tests

Zhang, Y.L.; Gou, Rui-bin; Li, J.M.; Shen, Gong Tian; Zeng, Yun

doi:10.1111/j.1460-2695.2012.01651.x

Cited by 18 publications

(7 citation statements)

References 14 publications

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“…Also, the H px − n curve jumps from point A 5 to point A 3 . By taking C = 1000, n 0 = 0.01, and Y = 2 × 10 11 Pa and using the parameters from the literature [4] (M S = 1.71 × 10 6 , a = 900, γ 1 (0) = 2 × 10 −18 , γ 1 (0) = −1.5 × 10 −26 , μ 0 = 4π × 10 −7 and α = 1.1 × 10 −3 ), and then entering the ε p data given in Table 1 Fig. 6 shows a similar variation tendency for the H px − n curve before point A 5 (i.e., before the micro cracks grow into macro cracks).…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…Fatigue damage detection is an important application of the MMM technique [3]. To date, a large amount of research into fatigue damage detection using the MMM technique has been carried out [3][4][5][6], and many constructive results have been obtained. In addition, the evidence indicates that the study of the mechanism is playing a crucial role in the continued development of this method.…”

Section: Introductionmentioning

confidence: 99%

“…As per the approach in the literature [4], λ = γ 1 M 2 + γ 2 M 4 is used in this paper, where γ 1 (σ) = γ 1 (0) + γ 1 (0)σ and γ 2 (σ) = γ 2 (0) + γ 2 (0)σ. k 1 is the domain wall pinning parameter for the state M 0 , and can be expressed as…”

Section: Introductionmentioning

confidence: 99%

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Discussion of modified Jiles-Atherton model including dislocations and plastic strain

Chen

et al. 2015

International Journal of Applied Electromagnetics and Mechanics

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In metal magnetic memory (MMM) detection, the Jiles-Atherton model describes material magnetization caused by the geomagnetic field and cyclic stress. However, characterization of the effects of fatigue damage on magnetization remains an issue. In this paper, an expression for magnetization intensity M0 related to dislocation and plastic strain amplitude εp was incorporated into a modified Jiles-Atherton model. To validate the M0 expression, standard tensile fatigue tests were performed. Results indicate that the domain wall pinning parameter k1 in M0 is linear in both dislocation density ρ and average dislocations slippage distanceλ, as is also the shear plastic strain amplitude in the stress control fatigue. The stress amplitude in strain control fatigue however is linear with respect to ρ 1/2 . Therefore, M0 can be expressed as a function of stress and εp (orλ and stress amplitude). Experiments showed that calculated M0 variations in fatigue development processes can reflect a variation law in the MMM signal, with certain differences. There is a numerical difference between Hpx and M0 because the surface magnetic field is much weaker than that within the ferromagnetic material. Hpx increases after macro crack initiation caused by an additional material demagnetization field and a leakage field near the crack during cracking.

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Section: Experimental Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Discussion of modified Jiles-Atherton model including dislocations and plastic strain

Chen

et al. 2015

International Journal of Applied Electromagnetics and Mechanics

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show abstract

“…Other research investigated the law of fatigue damage in a period of high-cycle fatigue testing using the magnetic signals [10][11][12]. From this, the quantitative analysis was obtained of the relationship between the magnetic flux leakage gradient, dHp/dx and the crack location in the formation of early defects [13]. Subsequently, the authors of Huang, Jiang [14] discussed the regularity of magnetic signals in fatigue crack growth under a dynamic bending load.…”

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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“…Other research investigated the law of fatigue damage in the period of high-cycle fatigue test using the magnetic signals. From here, the quantitative analysis was obtained between the magnetic flux leakage gradient, dHp/dx and the crack location in the formation of early defects [10]. This is followed by the study by [11] that discussed the regularity of magnetic signals in the fatigue crack growth under the dynamic bending load.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of magnetic flux leakage signals on fatigue crack growth of mild steel

Ahmad

Arifin²,

Abdullah³

2015

J. Mech. Eng. Sci.

View full text Add to dashboard Cite

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 objective of this research is 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 fatigue crack growth rate, da/dN toward the stress intensity range, ΔK and Hp(y) in metal components is also discussed in this paper. The tension-tension fatigue test was conducted with the metal magnetic memory scanning device and crack opening displacement (COD) gauges in 10 Hz (testing frequency) by applying a load for 3.0-5.0 kN respectively. As a result, the correlation curve of Hp(y) was built with the R-Squared values in the range of 0.99 and one mathematical model has been 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) that present a good approach for magnetic parameter to be developed in the fatigue crack growth analysis. Therefore, the magnetic method has greater capability to analyze the fatigue crack propagation life in a real application.

show abstract

Characteristics of metal magnetic memory signals of different steels in high cycle fatigue tests

Cited by 18 publications

References 14 publications

Discussion of modified Jiles-Atherton model including dislocations and plastic strain

Discussion of modified Jiles-Atherton model including dislocations and plastic strain

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

Evaluation of magnetic flux leakage signals on fatigue crack growth of mild steel

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