Multi-Objective Optimization of a Magnetic Circuit for Magnetic Flux Leakage-Type Non-destructive Testing

Parra-Raad, Jaime A.; Prada, Sebastián Roa

doi:10.1007/s10921-015-0329-1

Cited by 21 publications

(9 citation statements)

References 14 publications

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“…Based on Hopkinson’s law [ 50 ], the MFL sensing principle with the FMS is analyzed. As schematically displayed in Figure 3 , from the pipe surface to the sensor measuring point there are ceramic, support, and air, and their magnetic reluctances are R c , R s , and R a1 , respectively.…”

Section: The Principle Of the Mfl Sensing Methods Based On The Magnmentioning

confidence: 99%

An Online MFL Sensing Method for Steel Pipe Based on the Magnetic Guiding Effect

Fang

Huang

et al. 2017

Sensors

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In order to improve the sensitivity of online magnetic flux leakage (MFL) testing for steel pipe, a sensing method based on the magnetic guiding effect is proposed and investigated in this paper. Compared to the conventional contact sensing method using a non-ferromagnetic support, the proposed method creatively utilizes a ferromagnetic one to guide more magnetic flux to leak out. Based on Hopkinson’s law, the principle of the magnetic guiding effect of the ferromagnetic support is theoretically illustrated. Then, numerical simulations are conducted to investigate the MFL changes influenced by the ferromagnetic support. Finally, the probe based on the proposed method is designed and developed, and online MFL experiments are performed to validate the feasibility of the proposed method. Online tests show that the proposed sensing method can greatly improve the MFL sensitivity.

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Section: The Principle Of the Mfl Sensing Methods Based On The Magnmentioning

confidence: 99%

An Online MFL Sensing Method for Steel Pipe Based on the Magnetic Guiding Effect

Fang

Huang

et al. 2017

Sensors

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“…For the yoke type magnetizer, Y. Chang did several optimizations for the yoke shape, yoke size and thickness of shielding layer with the help of finite element simulation [ 101 ]. J. Parra-Raad performed a multi-object optimization for pipeline inspection gauge (PIG) by the genetic algorithm [ 102 ]. The conventional yoke type magnetizer only generates a magnetic field in one direction and has limited sensitivity for cracks that are parallel to the magnetic field.…”

Section: Excitation and Sensing Techniques In Mfl Testingmentioning

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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“…Based on Hopkinson's law [32], the magnetic flux leakage course of inner defects is simply built by magnetic circuit models, as displayed in Figure 1(b). From the inner defect to the sensor location, there are ferromagnetic wall and non-ferromagnetic air, and their magnetic reluctance are R fm and R alf , respectively.…”

Section: Mfl Course Model Of Inner Defects By Magnetic Circuit Modelsmentioning

confidence: 99%

Magnetic Flux Leakage Course of Inner Defects and Its Detectable Depth

et al. 2021

Chin. J. Mech. Eng.

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As a promising non-destructive testing (NDT) method, magnetic flux leakage (MFL) testing has been widely used for steel structure inspection. However, MFL testing still faces a great challenge to detect inner defects. Existing MFL course researches mainly focus on surface-breaking defects while that of inner defects is overlooked. In the paper, MFL course of inner defects is investigated by building magnetic circuit models, performing numerical simulations, and conducting MFL experiments. It is found that the near-surface wall has an enhancing effect on the MFL course due to higher permeability of steel than that of air. Further, a high-sensitivity MFL testing method consisting of Helmholtz coil magnetization and induction coil with a high permeability core is proposed to increase the detectable depth of inner defects. Experimental results show that inner defects with buried depth up to 80.0 mm can be detected, suggesting that the proposed MFL method has the potential to detect deeply-buried defects and has a promising future in the field of NDT.

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Multi-Objective Optimization of a Magnetic Circuit for Magnetic Flux Leakage-Type Non-destructive Testing

Cited by 21 publications

References 14 publications

An Online MFL Sensing Method for Steel Pipe Based on the Magnetic Guiding Effect

An Online MFL Sensing Method for Steel Pipe Based on the Magnetic Guiding Effect

A Review of Magnetic Flux Leakage Nondestructive Testing

Magnetic Flux Leakage Course of Inner Defects and Its Detectable Depth

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