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Stochastic interactions of rough particles in viscous shear flow

机译:粘性剪切流中粗糙颗粒的随机相互作用

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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:高粘度非线性和线性剪切流中的颗粒相互作用在多种应用中起着重要作用,包括复合材料加工,微流控,色谱法和颗粒重悬,仅举几例。颗粒之间的二元相互作用可提供悬浮流变模型中使用的信息,例如迁移速率和自扩散性。在过去的数值研究中,大部分将粒子粗糙度视为恒定的静态量。在当前的研究中,粗糙度被视为随机参数。因此,诸如分散,净颗粒迁移和自扩散之类的量也成为随机参数。使用半解析解对两个粒子在无界流场中的运动进行数值模拟,以确定随机粒子粗糙度的影响。

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