What Kinds of Molecular-Microsimulation Methods are Useful for Colloidal Dispersions ?

Satoh, Akira

doi:10.1016/s1383-7303(03)80029-7

Cited by 37 publications

(87 citation statements)

References 2 publications

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“…From figure 3(a), it is found that the magnetic force, namely, the gradient of potential U (H ) , is very small at the central area used in this simulation. The chainlike alignments obtained in this simulation are very long just as ferromagnetic particles in a ferrofluid form chainlike clusters, as determined by numerical simulation with a uniform magnetic field [16]. As discussed in section 4.1.1, we expected to control the cluster speed by selecting media with various viscosities.…”

Section: Simulation For Smaller Particlesmentioning

confidence: 81%

Numerical simulation of chainlike cluster movement of feeble magnetic particles by induced magnetic dipole moment under high magnetic fields

Ando

Hirota

Wada

2009

Science and Technology of Advanced Materials

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In this paper, the motion of a chainlike cluster of feeble magnetic particles induced by high magnetic field is discussed on the basis of the results of numerical simulations. The simulations were performed on glass particles with a diameter of 0.8 mm; and the viscosity, applied magnetic field and magnetic properties of the surrounding medium were changed. In addition to the magnetic field and the difference in magnetic susceptibility between the particles and the surrounding medium, the obtained results indicate that the viscosity is an essential factor for the formation of the chainlike alignment of feeble magnetic particles. We also carried out simulations using glass particles with a smaller diameter of 0.1 mm. Chainlike clusters were produced similar to those of ferromagnetic particles formed in a ferromagnetic fluid.

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Section: Simulation For Smaller Particlesmentioning

confidence: 81%

Numerical simulation of chainlike cluster movement of feeble magnetic particles by induced magnetic dipole moment under high magnetic fields

Ando

Hirota

Wada

2009

Science and Technology of Advanced Materials

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“…If a single colloidal particle is moving in a quiescent flow field, the translational motion of the particle can be described by the following Langevin equation (Allen and Tildesley, 1987;Satoh, 2003):…”

Section: Methods For Activating the Particle Brownian Motion Based On mentioning

confidence: 99%

“…F is the force acting on the particle which is the sum of the magnetic force described below and F (B) is the random force inducing the particle Brownian motion. For the case of a single-moving particle, this force is required to satisfy the following stochastic characteristic (Satoh, 2003): (8) in which I is the unit tensor, δ is Dirac's delta function, k is Boltzmann's constant, and T is the system temperature. The quantity ξ (t) is the translational friction coefficient expressed as expressed as ξ (t) =3πηD 0 (Brenner, 1974), in which η is the viscosity of a base liquid and D 0 is the particle diameter.…”

Section: Methods For Activating the Particle Brownian Motion Based On mentioning

confidence: 99%

“…The random motion of the particles is expected to be activated by introducing the random forces and torques in Eqs. (8) and (10), which are generated in a usual way based on the normal distribution with each variance (Allen and Tildesley, 1987;Satoh, 2003), into the basic equations for the particles. The flow field around the particles is solved by means of the ordinary lattice Boltzmann method.…”

Section: Methods For Activating the Particle Brownian Motion Based On mentioning

confidence: 99%

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Application of the hybrid-type method of Brownian dynamics and lattice Boltzmann to magnetic particle suspensions

Satoh

2015

Mechanical Engineering Journal

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We have investigated the feasibility of the hybrid-type method of lattice Boltzmann and Brownian dynamics as a simulation technique for a magnetic particle suspension. To do so, we have addressed aggregation phenomena in thermodynamic equilibrium and have compared the present results with those of Monte Carlo method and the previous lattice Boltzmann method based on fluctuation hydrodynamics (FH). The viscosity-modifying technique has been employed for sophisticating the activation level of the translational and rotational Brownian motion of magnetic particles. From the results regarding the snapshots and pair correlation functions, the present hybrid-type simulation method is seen to show good agreement with the results of Monte Carlo and FH-based lattice Boltzmann method both quantitatively and qualitatively. For example, the characteristics of the magnetization are in good agreement with Monte Carlo and FH-based lattice Boltzmann results. This clearly shows that the rotational Brownian motion of magnetic particles is activated at a physically reasonable level.

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“…(2), the quantities with superscript * are dimensionless, and ξ and Pe are the non-dimensional parameters representing the strengths of the magnetic particle-field interaction and the viscous shear force relative to random force (or thermal energy), respectively; Pe is called the Peclet number. X C , Y C and Y H are resistance functions specifying the resistance coefficients (Satoh, 2003b). The above-mentioned non-dimensional parameters are expressed as…”

Section: Basic Equation Of the Orientational Distribution Function Ofmentioning

confidence: 99%

Control of the orientational characteristics of disk-like hematite particles by a simple shear flow

Satoh

2016

Mechanical Engineering Letters

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We discuss the behavior of oblate spheroidal hematite particles in a simple shear flow. Magneto-rheological properties are strongly dependent on the magnetic field direction. For instance, a rod-like hematite particle suspension exhibits negative viscosity characteristics in a certain direction of an applied magnetic field. From this background, we here consider the case of an external magnetic field applied in the direction of the angular velocity vector of a simple shear flow. If the magnetic field is much more dominant than the thermal motion, the particle can almost freely rotate about the direction of the angular velocity vector. This characteristic rotational motion is suppressed or controlled by the shear flow more significantly with increasing shear rate.

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What Kinds of Molecular-Microsimulation Methods are Useful for Colloidal Dispersions ?

Cited by 37 publications

References 2 publications

Numerical simulation of chainlike cluster movement of feeble magnetic particles by induced magnetic dipole moment under high magnetic fields

Numerical simulation of chainlike cluster movement of feeble magnetic particles by induced magnetic dipole moment under high magnetic fields

Application of the hybrid-type method of Brownian dynamics and lattice Boltzmann to magnetic particle suspensions

Control of the orientational characteristics of disk-like hematite particles by a simple shear flow

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