Application of 3-D FEM in the simulation analysis for MFL signals

Ji, Fengzhu; Wang, Changlong; Sun, Shiyu; Wang, Weiguo

doi:10.1784/insi.2009.51.1.32

Cited by 25 publications

(9 citation statements)

References 10 publications

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“…Table 1 show items and specification of the MFL inspection system. Arduino MEGA is used as the processing unit in the system due to the dynamic and high speed in data transfer using Integrated Development Environment (IDE) as a software developer [20] [21] . In order to have a reliable signal processing and recording, a Dell Desktop is used in processing the serial signal from Arduino MEGA into meaningful data through USB cable.…”

Section: System Operationmentioning

confidence: 99%

Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm

Sharif *,

Ramli,

Nuawi

et al. 2020

IJRTE

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The application of hall sensors in Magnetitic Flux Leakage (MFL) has played an important role in Above Storage Tank (AST) on detection of defect caused by corrosion to improve productivity and to avoid catastrophe. The MFL sensor measured magnetic flux distribution in three axes Bx , By and Bz. Currently, there are several signal monitoring methods constructed by analysing MFL signal distribution upon defect detection. This paper presents the methodology of optimized Integrated Kurtosis-based Algorithm for Z-filter (I-KazTM) Coefficient using multilevel signal decomposition technique to analyse the MFL signal distribution on the defect in the correlation of MFL scanning device speed and position. The MFL scanning device comprises 11 hall effect sensors position in array coupled with a linear guide to ensuring a constant velocity of scanning. In order to obtain an optimum signal distribution, I-KazTM 3D is proposed as one of the derivatives of I-KazTM to analyse multiple velocities of scanning. The characterization of the defect can be estimated by analysing the deflection of magnetic flux leakage in the y-axis, By as the scanner approach the defect region before being analysed by I-KazTM from the beginning until the end of the workpiece.

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Section: System Operationmentioning

confidence: 99%

Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm

Sharif *,

Ramli,

Nuawi

et al. 2020

IJRTE

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“…Ji et al [91] explained the proved of 2-D FEM is an effective method used to study MFL signal under the different material, different defect shape, magnetizing situation and so forth. However, in 2-D FEM defects are furthermore treated as a 2-D profile rather than actual 3-D geometry, and the resulting MFL signal is the single channel whereas the actual signals are multi-channel.…”

Section: Fem Background In Mflmentioning

confidence: 99%

Theory and development of magnetic flux leakage sensor for flaws detection: A review

Sharif¹,

Ramli²,

Mohamed³

et al. 2019

IJAAS

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<p>This paper presents a review of state-of-art in the Magnetic Flux Leakage (MFL) sensor technology, which plays an important role in Nondestructive Testing (NDT) to detect crack and corrosion in ferromagnetic material. The demand of more reliable MFL tools and signal acquisition increase as it has a direct impact on structure integrity and can lead to be major catastrophic upon questionable signal analysis. This is because the size, cost, efficiency, and reliability of the extensive MFL system for NDT applications primarily depend on signal acquisition as a qualitative measure in producing a trustworthy analysis. Therefore, the selection of appropriate tools and methodology plays a major role in determining the comprehensive performance of the system. This paper also reviews an Artificial Neural Network (ANN) and Finite Element Method (FEM) in developing an optimum permeability standard on the test piece. </p>

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“…Several key creative MFL techniques, such as multi-magnetising testing for longitudinal and circumferential flaws using circumferential and axial magnetisation, have been developed [2] ; thus, much attention has been paid to MFL technology that directly focuses on particular aspects, such as the velocity effects, the utility of magnetic sensing units, the optimisation of apparatus design and signal processing [3][4][5][6][7][8][9][10][11][12] . Meanwhile, a great deal of theoretical research has been conducted on MFL distribution calculations [13] , the lift-off distance effect [14] and the inversion of defects [15] . Accurate evaluations are based on a satisfactory consistency, ie defects with the same size should generate the same testing MFL amplitude.…”

Section: Introductionmentioning

confidence: 99%

The influence of non-uniform wall thickness on MFL testing for a steel pipe

Wu¹,

Fang²,

Wang³

et al. 2015

Insight

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A non-uniform wall thickness inevitably forms during the production and use of a steel pipe, leading to a sensitivity difference in the magnetic flux leakage (MFL) during non-destructive testing of the steel pipe. To promote the MFL non-destructive testing technology, the magnetic characteristics of pipe walls with non-uniform thicknesses were analysed by applying magnetic refraction theory. Magnetic field lines in the thin wall leak into the air; however, magnetic field lines in the air are absorbed into the thick wall, producing background magnetic fields with different distributions. The induced flux intensity of the thin wall is larger than that of the thick wall. As a result, different magnetic fields are produced by identically-sized defects during testing, but in pipe walls with different thickness features their relative intensities descend from large to small in the thin to the thick walls, respectively, causing sensitivity differences. These results were verified by relevant MFL experiments using drill pipes.Keywords: steel pipe, magnetic flux leakage (MFL), non-uniform wall thickness, magnetic field line, induced flux density, sensitivity difference.

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Application of 3-D FEM in the simulation analysis for MFL signals

Cited by 25 publications

References 10 publications

Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm

Characterization of Defect for Magnetic Flux Leakage in Non-Destructive Test using I-Kaztm

Theory and development of magnetic flux leakage sensor for flaws detection: A review

The influence of non-uniform wall thickness on MFL testing for a steel pipe

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