Direct simulation of flows with suspended paramagnetic particles using one-stage smoothed profile method

Kang, Sangmo; Suh, Yong Kweon

doi:10.1016/j.jfluidstructs.2010.11.002

Cited by 29 publications

(17 citation statements)

References 29 publications

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“…However, it should be noted that the MNPs move much faster in the simulation than that in the experiment, which can be seen from the time parameters in Figures 3 and 4. The main reasons for this phenomenon are related to the following two factors: (1) magnetic particles can be aggregated under the action of magnetic interactions between particles which has been widely mentioned in the studies relevant to magnetic manipulation of particles [14][15][16] and the formation of elongated aggregates will accelerate the process of particle focusing [17,18]. (2) Hydrodynamic interactions between particles could aid the focusing of magnetic particles [19][20][21].…”

Section: Experimental Configurationmentioning

confidence: 99%

Investigation of Magnetic Nanoparticle Motion under a Gradient Magnetic Field by an Electromagnet

Wei

Wang

2018

Journal of Nanomaterials

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Finite element numerical simulations were carried out in 2D geometry to calculate the magnetic force on magnetic nanoparticles under a specially fabricated electromagnet. The particle motion was modeled by a system of ordinary differential equations. The snapshots of trajectories of 4000 MNPs with and without magnetic field were analyzed and qualitatively found to be in agreement with camera visualizations of MNP movement in a container. The results of the analysis could be helpful for the design of electromagnetic field and motion analysis of magnetic particles for the delivery of magnetic materials in biomedical applications.

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Section: Experimental Configurationmentioning

confidence: 99%

Investigation of Magnetic Nanoparticle Motion under a Gradient Magnetic Field by an Electromagnet

Wei

Wang

2018

Journal of Nanomaterials

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“…The smoothed profile method was originally proposed by Nakayama and Yamamoto [20] for simulating the interaction between fluid and particles in colloidal dispersions. The method has been devised to be used in combination with highorder methods and has successfully been employed for the simulation of particle-laden flows [13,14,[21][22][23], electro-charged colloids and electrophoresis of dense dispersions [24][25][26][27][28][29][30].…”

Section: Fully Resolved Simulationsmentioning

confidence: 99%

Particle–boundary interaction in a shear-driven cavity flow

Romanò

Kuhlmann

2017

Theor. Comput. Fluid Dyn.

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The motion of a heavy finite-size tracer is numerically calculated in a two-dimensional shear-driven cavity. The particle motion is computed using a discontinuous Galerkin-finite-element method combined with a smoothed profile method resolving all scales, including the flow in the lubrication gap between the particle and the boundary. The centrifugation of heavy particles in the recirculating flow is counteracted by a repulsion from the shear-stress surface. The resulting limit cycle for the particle motion represents an attractor for particles in dilute suspensions. The limit cycles obtained by fully resolved simulations as a function of the particle size and density are compared with those obtained by one-way coupling using the Maxey-Riley equation and an inelastic collision model for the particle-boundary interaction, solely characterized by an interaction-length parameter. It is shown that the one-way coupling approach can faithfully approximate the true limit cycle if the interaction length is selected depending on the particle size and its relative density.

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“…According to Ohm law in magnetic circuit, the equations of magnetic field intensity can be shown as follows: (2) So the relationship between magnetization intensity and magnetic field intensity can be obtained as follows: (3) The magnetization process can be divided into two stages: linear process and saturation process. In the liner process the yield stress is liner changed with magnetic field.…”

Section: Saturation Property Of Magnetic Fieldmentioning

confidence: 99%

“…Due to its unique characteristics, MRFs behave as smart or functional fluids and have been more and more used in a variety of fields such as mechanical engineering, aerospace, precision processing engineering and control engineering [1][2][3]. The most important properties of MRFs are mechanical property and stability performance, but many influence factors would affect the properties such as applied magnetic-field, magnetic particles' properties, added nano-particles, etc.…”

Section: Introductionmentioning

confidence: 99%

Study on the Saturation Properties of Silicone Oil-Based Magnetorheological Fluids in Mechanical Engineering

Wang¹,

Liu²,

Wang³

et al. 2015

TOMEJ

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Abstract:In this paper some saturation properties of silicone oil-based magnetorheological fluids in mechanical engineering were researched and discussed by theoretical analysis and experiments. Firstly, experiment materials and preparation process of silicone oil-based magnetorheological fluids were presented. Secondly, magnetic-field saturation, particles saturation and added nano-particles saturation were elaborated. Finally, the influence of these properties on magnetorheological fluids properties were discussed to provide references for parameter design of magnetorheological fluids preparation and mechanical engineering.

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Direct simulation of flows with suspended paramagnetic particles using one-stage smoothed profile method

Cited by 29 publications

References 29 publications

Investigation of Magnetic Nanoparticle Motion under a Gradient Magnetic Field by an Electromagnet

Investigation of Magnetic Nanoparticle Motion under a Gradient Magnetic Field by an Electromagnet

Particle–boundary interaction in a shear-driven cavity flow

Study on the Saturation Properties of Silicone Oil-Based Magnetorheological Fluids in Mechanical Engineering

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