Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Suresh, Vidya; Abudhair, A.

doi:10.4283/jmag.2016.21.3.437

Cited by 7 publications

(4 citation statements)

References 11 publications

(11 reference statements)

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“…The influence of defect size on the MFL signal has been analyzed using analytical models, simulations, and experiments [ 8 , 23 , 24 , 25 , 26 , 27 , 28 , 29 ]. It was suggested by Förster that [ 8 ], when using the magnetic dipole model to analyze the influence of defect dimension, the magnetic charge density should also change with defect dimension to obtain more accurate results:

where F nl is a non-linear factor and H a is the applied field.…”

Section: Factors Influencing Mfl Signalmentioning

confidence: 99%

A Review of Magnetic Flux Leakage Nondestructive Testing

Feng

et al. 2022

Materials

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Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method for the inspection of ferromagnetic materials. This review paper presents the basic principles of MFL testing and summarizes the recent advances in MFL. An analytical expression for the leakage magnetic field based on the 3D magnetic dipole model is provided. Based on the model, the effects of defect size, defect orientation, and liftoff distance have been analyzed. Other influencing factors, such as magnetization strength, testing speed, surface roughness, and stress, have also been introduced. As the most important steps of MFL, the excitation method (a permanent magnet, DC, AC, pulsed) and sensing methods (Hall element, GMR, TMR, etc.), have been introduced in detail. Finally, the algorithms for the quantification of defects and the applications of MFL have been introduced.

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where F nl is a non-linear factor and H a is the applied field.…”

Section: Factors Influencing Mfl Signalmentioning

confidence: 99%

A Review of Magnetic Flux Leakage Nondestructive Testing

Feng

et al. 2022

Materials

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“…Magnetic flux leakage (MFL) is the most popular magnetic sensing method used in this study to investigate defect features, including width, depth, and area. In the past, magnetic flux leakage (MFL) has been used for testing pipelines [ 21 , 22 , 23 , 24 , 25 ] and inspecting plates [ 26 , 27 ], tubes [ 28 , 29 , 30 ], wire ropes [ 31 , 32 , 33 , 34 , 35 ], rail tracks [ 36 ], tank floors [ 37 , 38 ], and suspension bridge stay cables [ 39 ] made up of ferromagnetic material.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Size of a Defect in Reinforcing Steel Using Magnetic Flux Leakage (MFL) Measurements

Yousaf,

Harseno,

Kee

et al. 2023

Sensors

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This study aimed to evaluate 2D magnetic flux leakage (MFL) signals (Bx, By) in D19-size reinforcing steel with several defect conditions. The magnetic flux leakage data were collected from the defected and new specimens using an economically designed test setup incorporating permanent magnets. A two-dimensional finite element model was numerically simulated using COMSOL Multiphysics to validate the experimental tests. Based on the MFL signals (Bx, By), this study also intended to improve the ability to analyze defect features such as width, depth, and area. Both the numerical and experimental results indicated a high cross-correlation with a median coefficient of 0.920 and a mean coefficient of 0.860. Using signal information to evaluate defect width, the x-component (Bx) bandwidth was found to increase with increasing defect width and the y-component (By) amplitude rise with increasing depth. In this two-dimensional MFL signal study, both parameters of the two-dimensional defects (width and depth) affected each other and could not be evaluated individually. The defect area was estimated from the overall variation in the signal amplitude of the magnetic flux leakage signals with the x-component (Bx). The defect areas showed a higher regression coefficient (R2 = 0.9079) for the x-component (Bx) amplitude from the 3-axis sensor signal. It was determined that defect features are positively correlated with sensor signals.

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“…Recientemente, el modelo dipolomagnético de muesca rectangular fue revisado para ilustrar el impacto de la concentración de esfuerzos en las señales MMM (Huang, Jiang, Yang & Liu, 2014). Suresh & Abudhair (2016) proponen una expresión analítica basada en el modelo de dipolos para estimar la longitud y la profundidad del defecto rectangular en la tubería ferromagnética. Leng, Xing, Zhou & Gao (2013) propusieron un modelo de dipolo magnético lineal para representar la distribución del campo electromagnético de fuga debido a la concentración de tensiones en una placa con muesca en V. Así mismo, Jiancheng, Minqiang, Jianwei & Jianzhong (2010) determinan que las diferentes características de las señales magnéticas en la región elástica-plástica -esto fue explicado por referencia a la muesca en forma de V modelo de dipolo magnético-indican que la técnica de memoria magnética puede identificar el daño macro y el daño temprano, lo cual es de gran importancia para asegurar el funcionamiento seguro del equipo en servicio.…”

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Análisis de la variación del flujo magnético alrededor de defectos rectangulares y triangulares en placas ferromagnéticas

et al. 2020

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El presente artículo, enmarcado en el contexto del proyecto Desarrollo de un sistema experto para el modelado y monitoreo de grietas superficiales (tipo triangular y rectangular) en tuberías ferromagnéticas usando el método de memoria magnética, presenta el análisis de la variación del flujo magnético alrededor de defectos rectangulares y triangulares en placas ferromagnéticas. Este análisis utiliza una metodología con un estudio exploratorio de modelos numéricos a partir de modelos analíticos existentes. Los modelos numéricos obtenidos servirán como base al compararlos con resultados experimentales para cuantificar la magnitud de los defectos. Los resultados determinaron, a través del análisis de datos, que es posible detectar y clasificar, con un alto grado de certidumbre y alto nivel de confiabilidad, el tamaño y la forma de los defectos superficiales tipo rectangular y triangular mediante los componentes tangencial y normal de esos defectos.

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Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Cited by 7 publications

References 11 publications

A Review of Magnetic Flux Leakage Nondestructive Testing

A Review of Magnetic Flux Leakage Nondestructive Testing

Evaluation of the Size of a Defect in Reinforcing Steel Using Magnetic Flux Leakage (MFL) Measurements

Análisis de la variación del flujo magnético alrededor de defectos rectangulares y triangulares en placas ferromagnéticas

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