Detection of Cracked Position Due to Cyclic Loading for Ferromagnetic Materials Based on Magnetic Memory Method

Ariffin, A. K.; Ahmad, Meor Iqram Meor; Abdullah, Shahrum; Jusoh, W.Z.W.

doi:10.11113/jt.v75.5175

Cited by 6 publications

(5 citation statements)

References 12 publications

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“…This result is because of the high stress concentration caused by the flaw or crack occurring at that distance. MMM can detect the position of crack during fatigue by displaying sharp rising signals of magnetic flux leakage that represent the stress concentration zone in metal components (Arifin et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

Detection of high stress concentration zone using magnetic flux leakage method

Firdaus

Arifin

Sahadan

et al. 2020

IJSI

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PurposeA tower crane mainly ensures the success or efficiency of building construction. Fatigue crack analysis is important for tower crane components to prevent any accidents to workers in construction sites caused by component failure and to ease the maintenance or replacement of failed components. This work aimed to characterise the damage of failed components, analyse the relationship between the metal magnetic memory (MMM) result and the damage of failed components, and to validate the relationship between MMM and finite element analysis (FEA).Design/methodology/approachMMM was used in this work to detect any irregularities or early failure on the basis of the high stress concentration zone of ferromagnetic steel using magnetic flux leakage. Magnetic flux leakage was used on the MMM device to achieve the first objective using the MMM system by detecting the irregularities. The results of MMM analysis were validated through comparison with FEA results by determining their relationship.FindingsMMM results show that the position of defects on the tower crane pulley is within the stress area shown on FEA.Originality/valueHence, MMM method is a potential tool in monitoring failure mechanism in construction site.

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Section: Methodsmentioning

confidence: 99%

Detection of high stress concentration zone using magnetic flux leakage method

Firdaus

Arifin

Sahadan

et al. 2020

IJSI

Self Cite

View full text Add to dashboard Cite

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“…Nowadays, technical diagnostics increasingly use non-invasive diagnostic methods for diagnosing or monitoring (continuous control) without interrupting the normal operation of the object [1][2][3]. One of the least invasive methods of diagnosis is magnetic metal memory (MMM).…”

Section: Introductionmentioning

confidence: 99%

Investigation of the Impact of Load on the Magnetic Field Strength of the Crane by the Magnetic Metal Memory Technique

Kosoń-Schab

Szpytko

2020

Materials

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The paper deals with the problem of applicability of the metal magnetic memory (MMM) technique in the crane structural inspection and monitoring. The MMM method does not require the external magnetization of a structure that results in reduction of downtime of maintenance operations. Measurement of the intensity of the self-magnetic leakage signal can be an alternative to other non-destructive methods used for inspection of a large crane’s structure and equipment. However, the complexity of the residual magnetization effect in the MMM technique is the problem with its application. Thus, the magnetic flux leakage behavior on the crane girder surface under different measurements and the crane’s load conditions is analyzed based on the results obtained during experiments carried out on the overhead traveling crane.

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“…Therefore, by using the concept of magnetic flux signals, Hp(y) that were proposed first by Dubov in 1997, the fatigue prediction mechanisms and life assessment for ferromagnetic materials are investigated [2]. The MMM method has a special capability to detect stress concentration zones (SCZ) and assess the actual stress status and deformation of metal components [3]. A theoretical model was established that illustrates the impact of stress concentration and microdefects on the magnetic signal of metal components [4].…”

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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Detection of Cracked Position Due to Cyclic Loading for Ferromagnetic Materials Based on Magnetic Memory Method

Cited by 6 publications

References 12 publications

Detection of high stress concentration zone using magnetic flux leakage method

Detection of high stress concentration zone using magnetic flux leakage method

Investigation of the Impact of Load on the Magnetic Field Strength of the Crane by the Magnetic Metal Memory Technique

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

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