Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements

Ravan, Maryam; Amineh, Reza K.; Koziel, Slawomir; Nikolova, Natalia K.; Reilly, J.P.

doi:10.1109/tmag.2009.2037008

Cited by 102 publications

(38 citation statements)

References 24 publications

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“…This paper used the 3D finite element method [5][6] to simulate the magnetic leakage field of the defects of the inner and outer walls of the drill pipe in both the strong magnetic field and weak magnetic field, providing a theoretical basis for the quantitative analysis of magnetic flux leakage testing. When using the finite element method to analyse the magnetic leakage field of a pipe flaw, the characteristic parameters of the magnetic field can be obtained by solving the Maxwell's equations [7][8] with the given boundary conditions.…”

Section: Ma Yilai and Lin LImentioning

confidence: 99%

Research on internal and external defect identification of drill pipe based on weak magnetic inspection

Yilai¹,

Li²

2014

Insight

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MFLThe current magnetic flux leakage (MFL) inspection technique can detect and locate defects on both the internal and external walls of drill pipe, but is generally unable to differentiate between internal and external defects. This paper presents a new method to distinguish between internal and external defects based on weak magnetic inspection. The study is undertaken using extensive finite element analysis (FEA), focusing on the 3D magnetic field distribution of internal and external defects in both strong and weak magnetic regions. Through the 3D magnetic flux density vector diagram and the axial and radial component diagram of the magnetic leakage field of the defects, the characteristics of the magnetic leakage field around defects are obtained intuitively, which demonstrates that weak magnetic inspection can be used as a method for internal and external defect recognition. The experimental test results show that such discrimination is viable using weak magnetic inspection.Keywords: 3D FEM, magnetic flux leakage testing, weak magnetic inspection, internal and external defect identification.

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Section: Ma Yilai and Lin LImentioning

confidence: 99%

Research on internal and external defect identification of drill pipe based on weak magnetic inspection

Yilai¹,

Li²

2014

Insight

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“…Leakage signal prediction and defect characterization were also performed using the analytical model [12]. Maryam Ravan et al (2010) developed an analytical model for the arbitrary defect sizing. The main drawback of that method is longer computation time [13].…”

Section: Introductionmentioning

confidence: 99%

“…Maryam Ravan et al (2010) developed an analytical model for the arbitrary defect sizing. The main drawback of that method is longer computation time [13]. Wenhua Han et al (2014) developed an algorithm to estimate the two-dimensional defect in fast manner and the length of the defect is not considered [14].…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage

Alaric

Suresh²,

Abudhahir

et al. 2018

Measurement Science Review

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This paper presents an approach to estimate the orientation of the rectangular defect in the ferromagnetic specimen using the magnetic flux leakage technique. Three components of the magnetic flux leakage profile, such as radial, axial, and tangential component are considered to estimate the orientation of the rectangular defect. The orientation of the rectangular defect is estimated by the proposed analytical model using MATLAB software. The results calculated by the analytical model are validated by the three-dimensional finite element analysis using COMSOL Multiphysics software. Tangential component provides better performance to estimate the orientation of the rectangular defect compared with radial and axial component of the magnetic flux leakage profile.

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“…The changeable fields are captured by Hall-effect probes, placed directly above the surface of the testing tube which generate signals can be used to recognize the defects [5]. Like in other non destructive testing techniques, solution of the inverse problem of predicting the size of defects from measured magnetic flux leakage signals is of ultimate interest in the community [6]. Certain methods detect the flux leakage from the cracks in ferromagnetic material which is magnetized by an electromagnet [7].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Flux Leakage (MFL) based Defect Characterization of Steam Generator Tubes using Artificial Neural Networks

Daniel¹,

Abudhahir²,

Paulin³

2017

Journal of Magnetics

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Sizing of 3-D Arbitrary Defects Using Magnetic Flux Leakage Measurements

Cited by 102 publications

References 24 publications

Research on internal and external defect identification of drill pipe based on weak magnetic inspection

Research on internal and external defect identification of drill pipe based on weak magnetic inspection

Theoretical Analysis of the Rectangular Defect Orientation using Magnetic Flux Leakage

Magnetic Flux Leakage (MFL) based Defect Characterization of Steam Generator Tubes using Artificial Neural Networks

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