3D finite element simulation of magnetic particle inspection

Wong, Brian Stephen; Low, Yi Guang; Wang, Xin; Ho, Jee-Hou; Tan, Ching Seong; Ooi, Jong Boon

doi:10.1109/student.2010.5687008

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Finite element methods (FEMs) have been widely used to investigate the motion of NPs under different physical conditions [10–14]. Wong et al [15] applied FEM simulations of magnetic particle inspection to analyze the magnetic field around a defect. Furlani et al [16] developed a FEM model to predict the capture of magnetic micro/nano-particles in a bioseparation microsystem.…”

Section: Introductionmentioning

confidence: 99%

Computational modeling of magnetic nanoparticle targeting to stent surface under high gradient field

et al. 2014

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A multi-physics model was developed to study the delivery of magnetic nanoparticles (MNPs) to the stent-implanted region under an external magnetic field. The model is firstly validated by experimental work in literature. Then, effects of external magnetic field strength, magnetic particle size, and flow velocity on MNPs’ targeting and binding have been analyzed through a parametric study. Two new dimensionless numbers were introduced to characterize relative effects of Brownian motion (BM), magnetic force induced particle motion, and convective blood flow on MNPs motion. It was found that larger magnetic field strength, bigger MNP size, and slower flow velocity increase the capture efficiency of MNPs. The distribution of captured MNPs on the vessel along axial and azimuthal directions was also discussed. Results showed that the MNPs density decreased exponentially along axial direction after one-dose injection while it was uniform along azimuthal direction in the whole stented region (averaged over all sections). For the beginning section of the stented region, the density ratio distribution of captured MNPs along azimuthal direction is center-symmetrical, corresponding to the center-symmetrical distribution of magnetic force in that section. Two different generation mechanisms are revealed to form four main attraction regions. These results could serve as guidelines to design a better magnetic drug delivery system.

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Section: Introductionmentioning

confidence: 99%

Computational modeling of magnetic nanoparticle targeting to stent surface under high gradient field

et al. 2014

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“…I the magnetic particle inspection method allows for the detection of both surface and subsurface heterogeneities [6]. First, the sample is exposed to an external magnetic field, whereby magnetic powder particles can be placed on the outer surface of the sample in two ways: during the magnetization or after switching the magnetic field source off.…”

Section: Introductionmentioning

confidence: 99%

Examining Ferromagnetic Materials Subjected to a Static Stress Load Using the Magnetic Method

Chady

Łukaszuk

2021

Materials

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This paper discusses the experimental examination of anisotropic steel-made samples subjected to a static stress load. A nondestructive testing (NDT) measurement system with a transducer, which enables observation of local hysteresis loops and detection of samples’ inhomogeneity, is proposed. Local hysteresis loops are measured on two perpendicular axes, including one parallel to the rolling direction of the samples. The results confirm that the selected features of the local hysteresis loops provide important information about the conditions of ferromagnetic materials. Furthermore, it is shown that the selected parameters of the statistical analysis of the achieved measurements are beneficial for evaluating stress and fatigue changes induced in the material.

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Development of a Two-Way Coupled Eulerian–Lagrangian Computational Magnetic Nanoparticle Targeting Model for Pulsatile Flow in a Patient-Specific Diseased Left Carotid Bifurcation Artery

Hewlin

Ciero

Kizito

2019

Cardiovasc Eng Tech

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3D finite element simulation of magnetic particle inspection

Cited by 5 publications

References 14 publications

Computational modeling of magnetic nanoparticle targeting to stent surface under high gradient field

Computational modeling of magnetic nanoparticle targeting to stent surface under high gradient field

Examining Ferromagnetic Materials Subjected to a Static Stress Load Using the Magnetic Method

Development of a Two-Way Coupled Eulerian–Lagrangian Computational Magnetic Nanoparticle Targeting Model for Pulsatile Flow in a Patient-Specific Diseased Left Carotid Bifurcation Artery

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