FEM modelling techniques of magnetic flux leakage-type NDT for ferromagnetic plate inspections

Al-Naemi, Faris; Hall, Jeremy Peter; Moses, Anthony John

doi:10.1016/j.jmmm.2006.02.225

Cited by 72 publications

(28 citation statements)

References 2 publications

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“…The magnetostatic FEM solver is an efficient tool in MFL-related design and analysis [18]. The FEA solution of a MFL problem requires either a single nonlinear run (static analysis with B(H) curves) or a series of solutions at consecutive time points (transient analysis).…”

Section: Static Mflmentioning

confidence: 99%

See 1 more Smart Citation

Finite Element Method Applied in Electromagnetic NDTE: A Review

Augustyniak

Usarek

2016

J Nondestruct Eval

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The paper contains an original comprehensive review of finite element analysis (FEA) applied by researchers to calibrate and improve existing and developing electromagnetic non-destructive testing and evaluation techniques, including but not limited to magnetic flux leakage (MFL), eddy current testing, electromagnetic-acoustic transducers (EMATs). Premium is put on the detection and modelling of magnetic field, as the vast majority of ENDT involves magnetic induction, either as a primary variable MFL or a complementary phenomenon (EC, EMATs). FEA is shown as a fit-for-purpose tool to design, understand and optimise ENDT systems, or a Reference for other modelling algorithms. The review intentionally omits the fundamentals of FEA and detailed principles of NDT. Strain-stress FEA applications in NDT, especially in ultrasonography and hole-drilling methodology, deserve as well a separate study.

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Section: Static Mflmentioning

confidence: 99%

“…The magnetostatic NDT was modelled with FEA by AlNaemi, Hall and Moses [18]. The 2D (qualitative) vs 3D (quantitative) models generated and computed in MagNet software were compared against an experiment.…”

Section: Static Mflmentioning

confidence: 99%

Finite Element Method Applied in Electromagnetic NDTE: A Review

Augustyniak

Usarek

2016

J Nondestruct Eval

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“…Table 1 presents these two parameters at different values of the threshold for 340 noisy MFL signals provided by a petroleum company. The definition of threshold factor presented in this table is considered as: threshold = (1 + threshold factor) × background (8) As is seen from Table 1, all defects are detectable by assigning 0.05 as the threshold factor. However, noise is considered as a defect in all 340 cases.…”

Section: Threshold Determinationmentioning

confidence: 99%

“…Naemi et al [8] and Katoh et al [9] used 2D finite element method modeling to generate MFL signals from defects of various shapes. All these theoretical calculations agree well with the experimental results from defects with simple shapes.…”

Section: Introductionmentioning

confidence: 99%

Extracting the region of interest from MFL signals

Sadr¹,

Okhovat²

2016

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we study the magnetic flux leakage (MFL) signals for detection of defects in ferromagnetic materials. MFL signals consist of a background that is not constant and is combined with noise. Since there are slight variations because of noise, any large distortion shows a defect. Here the estimation of the background and then the determination of a threshold to distinguish defects from noise have been used for locating defects. In this method, precise evaluation of these two parameters has a vital role on the defect detection. The concept of histograms has been employed for eliminating the effect of defects in computing background signal. Results show that this algorithm is fast enough and yields detection of more defects that have lower amplitude. In the next step, an appropriate value for the threshold is determined by considering a trade-off between defect detection rate and noise separation rate.

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“…When using finite element analysis pipe flaw leakage magnetic field, the characteristic parameters of magnetic field can be got by solving the Maxwell's equations [5][6] with the given boundary conditions. The differential forms is 0 H (1) J B (2) In the equations: B is magnetic field density vector, H is the magnetic field strength vector, J is the equivalent field current density vector produced by permanent magnet.…”

Section: Defectsmentioning

confidence: 99%

The Application of Magnetic Shielding Effect in Drill Pipe Magnetic Leakage Flux Testing

Lin

Jiang

et al. 2013

2013 Fifth International Conference on Measuring Technology and Mechatronics Automation

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Electromagnetic finite element analysis shows that pipe magnetic flux leakage signals are centralized near defects obviously when the magnetic shielding exists. At this time, the background magnetic flux between permanent magnet components coupling through the air medium will be reduced greatly. Drill pipe magnetic flux leakage testing confirms the analysis results, and the probe with magnetic shielding device can improve SNR of the magnetic flux leakage signals obviously. Thus, it is helpful to improve pipe leakage flux testing sensitivity.

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FEM modelling techniques of magnetic flux leakage-type NDT for ferromagnetic plate inspections

Cited by 72 publications

References 2 publications

Finite Element Method Applied in Electromagnetic NDTE: A Review

Finite Element Method Applied in Electromagnetic NDTE: A Review

Extracting the region of interest from MFL signals

The Application of Magnetic Shielding Effect in Drill Pipe Magnetic Leakage Flux Testing

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