Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements

Priewald, Robin; Magele, Christian; Ledger, P.D.; Pearson, Neil; Mason, John S.

doi:10.1109/tmag.2012.2208119

Cited by 66 publications

(24 citation statements)

References 24 publications

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“…Procs., claiming the competitiveness of their method of interpreting flux leakage near cracks over the standard 3D MFL approach. The standard 3D MFL, in turn, was numerically studied in [33], and an efficient yet accurate inversion algorithm in 2D was produced.…”

Section: Static Mflmentioning

confidence: 99%

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%

Finite Element Method Applied in Electromagnetic NDTE: A Review

Augustyniak

Usarek

2016

J Nondestruct Eval

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“…From various approaches based on strobe light [6], eddy currents [7], magnetic leakage flux [8], infrared ray [9] and X-ray [10], to machine vision technology [11], the past five decades have witnessed an unprecedented development of steel surface defect inspection, especially in the study of basis theory and related prototype, which provides theoretical foundation and probabilistic method to overcome the abovementioned conundrums. Intelligent machine vision is the study of methods and techniques whereby AOI system can be constructed and usefully employed in automated inspection [12,13].…”

Section: Introductionmentioning

confidence: 99%

A cost-effective and automatic surface defect inspection system for hot-rolled flat steel

Luo

2016

Robotics and Computer-Integrated Manufacturing

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“…Steel plates are widely used in industrial appli cations, such as fl oors of oil a nd gas tanks [1][2]. Various kinds of defects occur almost inevitably during the long-term usage of tank floors [3].…”

Section: Introductionmentioning

confidence: 99%

Profile imaging of actual defects in steel plate based on electromagnetic ultrasonic SH guided wave scattering

Wang¹,

Wang²,

Huang³

et al. 2017

insight

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, W. (2017) 'Prole imaging of actual defects in steel plate based on electromagnetic ultrasonic SH guided wave scattering.', Insight : non-destructive testing and condition monitoring., 59 (7). pp. 383-388. Further information on publisher's website:https://doi.org/10. 1784/insi.2017.59.7.383 Publisher's copyright statement:Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Then the error between calculated profile and actual profile is defined and displayed on the plane of the rectangular coordinate system. Results show that the profile image almost clings to actual profile of the defect and the average profile error is only 4.3%. The proposed guided wave scattering model and profile imaging method are verified to be able to describe the profile of the actual defect with high-precision in steel plate.

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Fast Magnetic Flux Leakage Signal Inversion for the Reconstruction of Arbitrary Defect Profiles in Steel Using Finite Elements

Cited by 66 publications

References 24 publications

Finite Element Method Applied in Electromagnetic NDTE: A Review

Finite Element Method Applied in Electromagnetic NDTE: A Review

A cost-effective and automatic surface defect inspection system for hot-rolled flat steel

Profile imaging of actual defects in steel plate based on electromagnetic ultrasonic SH guided wave scattering

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