Journal ArticleDOI
Dynamic simulation of electrorheological suspensions
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TLDR
In this article, a simulation method is developed to investigate structure formation in electrorheological suspensions, where the suspension is treated as polarizable, spherical particles in a nonconducting medium, with the spheres subject to electric polarization forces due to an applied electric field and to hydrodynamic resistance due to their motion through the continuous phase.Abstract:
A simulation method is developed to investigate structure formation in electrorheological suspensions. The suspension is treated as polarizable, spherical particles in a nonconducting medium, with the spheres subject to electric polarization forces due to an applied electric field and to hydrodynamic resistance due to their motion through the continuous phase. The fibrous structures obtained from these simulations are independent of electric field strength and continuous phase viscosity in agreement with experimental observation. We have also found that the details of the simulated structures are sensitive to the treatment of the short‐range forces preventing particle overlap. When this force is represented by a form that accurately approximates a hard‐sphere interaction, the simulated structures agree well with those obtained experimentally, both with respect to their appearance and the time scale for structure formation.read more
Citations
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Electrostatic enhancement of coalescence of water droplets in oil: a review of the current understanding
TL;DR: In this paper, a review of the current understanding of electrocoalescence of water droplets in oil is presented, highlighting particularly the mechanisms proposed for droplet-droplet and droplet interface coalescence under the influence of an applied electrostatic field, as well as various factors influencing the electrocoscence phenomenon.
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Brownian dynamics simulation to determine the effective thermal conductivity of nanofluids
TL;DR: In this paper, the authors developed a technique to compute the effective thermal conductivity of a nanofluid using Brownian dynamics simulation, which has the advantage of being computationally less expensive than molecular dynamics and coupled with the equilibrium Green-Kubo method.
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Electrorheological fluids: structures and mechanisms
TL;DR: The recently discovered giant electrorheological effect, owing its origin to molecular dipoles, is described and contrasted with the conventional ER effect that arises from induced polarization effects.
References
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Book
The physics of amorphous solids
TL;DR: The formation of amorphous solids Amorphous Morphology: The Geometry and Topology of Disorder Chalcogenide Glasses and Organic Polymers The Percolation Model Localization Delocalization Transitions Optical and Electrical Properties Index as discussed by the authors.
Journal ArticleDOI
One- and two-dimensional crystallization of magnetic holes
TL;DR: In this paper, the first direct microscopic observations of the crystallization of magnetic holes forming a variety of different lattices were presented, showing that the apparent dipolar interactions between the spheres may be made attractive or repulsive.
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Effects of electric fields on the rheology of non-aqueous concentrated suspensions
TL;DR: In this article, the electrorheological response of hydrated poly(methacrylate) particles in a chlorinated hydrocarbon has been characterized as a function of field strength, shear rate, volume fraction and temperature.
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Observation of association in a ferromagnetic colloid
TL;DR: In this paper, a study of the transmission and scattering of light by a colloidal suspension of magnetite is made, which indicates that the interaction of the colloidal particles in an applied magnetic field causes chains or needles to form that are large enough to be observed with an optical microscope.
Journal ArticleDOI
Monte Carlo calculations of cluster statistics in continuum models of composite morphology
TL;DR: In this article, a simple and efficient algorithm for sampling physical cluster statistics in Monte Carlo simulations of continuum morphology models is described, which produces a variety of information including the pair connectedness function, cluster size distribution, and mean cluster size.