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Stochastic interactions of rough particles in viscous shear flow

机译:粗颗粒在粘性剪切流动中的随机相互作用

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Particle interactions in highly-viscous nonlinear and linear shear flows play an important role in a variety of applications, including composite materials processing, microfluidics, chromatography, and particle resuspension, to name a few. Binary interactions between particles can provide information used in rheological models for suspension flows such as migration rates and self-diffusivity. In past numerical studies, particle roughness has been treated, for the most part, as a constant, static quantity. In the current study, roughness is treated as a stochastic parameter. Hence, quantities such as dispersion, net particle migration, and self-diffusivity also become stochastic parameters. Numerical simulations are performed using a semi-analytic solution for the motion of two particles in an unbounded flow field to determine the effects of random particle roughness.
机译:高粘性非线性和线性剪切流中的颗粒相互作用在各种应用中起重要作用,包括复合材料加工,微流体,色谱和粒子重悬,以命名几个。粒子之间的二进制相互作用可以提供用于流变模型的信息,用于悬浮流程,例如迁移率和自扩散率。在过去的数值研究中,粒子粗糙度大部分是恒定的静态的处理。在目前的研究中,粗糙度被视为随机参数。因此,诸如分散,净粒子迁移和自扩散率的量也成为随机参数。使用半分析解决方案进行数值模拟,用于在未束缚的流场中的两个颗粒的运动,以确定随机粒子粗糙度的影响。

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