Brownian dynamics simulation of chain formation in electrorheological fluids

Dávid Fertig, D. Boda, I. Szalai
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引用次数: 1

Abstract

Brownian dynamics (BD) simulations based on a novel Langevin integrator algorithm are used to simulate the dynamics of chain formation in electrorheological (ER) fluids that are non-conducting solid particles suspended in a liquid that has a dielectric constant different from that of the ER particles. An external electric field induces polarization charge distributions on the spheres' surfaces that can be modeled as point dipoles in the centers of the spheres. The interaction of these aligned dipoles leads to formation of chains and other aggregates in the ER fluid. In this work, we introduce our methodology and report results for various quantities characterizing the structure of the ER system as obtained with BD simulations. These quantities include the potential energy, diffusion constant, average chain length, chain length distributions, and pair correlation functions. Their behavior as a function of time is presented as the electric field is switched on. The properties of the ER fluid change considerably making this system a potential basic material of many applications.
电流变流体中链形成的布朗动力学模拟
采用基于Langevin积分法的布朗动力学(BD)模拟方法,模拟了电流变流体(ER)中非导电固体颗粒悬浮在介电常数不同的液体中的链形成动力学。外电场在球体表面诱导极化电荷分布,这种分布可以被模拟为球体中心的点偶极子。这些排列的偶极子的相互作用导致内质网流体中链和其他聚集体的形成。在这项工作中,我们介绍了我们的方法,并报告了用BD模拟获得的表征ER系统结构的各种数量的结果。这些量包括势能、扩散常数、平均链长、链长分布和对相关函数。当电场打开时,它们的行为随时间的变化而变化。电流变流体的性质发生了很大的变化,使该体系成为许多应用的潜在基础材料。
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