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USING CHAOS FOR FLUID MIXING IN PULSED MICRO FLOWS

机译:在混沌微流中使用混沌进行流体混合

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Even though mixing is crucial in many microfluidic applications where biological and chemical reactions are needed, efficient mixing remains a challenge since the Reynolds number of these flows is typically low, thus excluding turbulence as a potential mechanism for stirring. While various approaches relying on clever geometries, cross-flows, miniature stirrers or external fields have been used in the past, our work has focused on generating stirring in microchannels of simple geometry by merely pulsing flow rates at the inlets through which the two fluids are brought into the device. Flow visualizations from experiments, as well as numerical simulations, have indicated that the majority of the mixing takes place in the confluence region. Even though it has been shown in previous work that good mixing can be achieved at relatively large scales using this technique, one of the challenges is to make sure that mixing occurs at small scales (i.e., particle scales) as well. To address this issue, we carefully study the dynamics of tracer particles using both computational fluid dynamics and dynamical systems theory, and explore the parameter space in terms of the Reynolds number, Strouhal number and phase difference between the two inlet flows. Specifically, we generate a bifurcation diagram in which both regular and chaotic dynamics occur. As expected, the chaotic regime exhibits stretching and folding of material lines at all (large and small) scales, and is thus promising as an effective mixing tool.
机译:尽管在许多需要生物学和化学反应的微流体应用中混合至关重要,但由于这些流的雷诺数通常较低,因此有效混合仍然是一个挑战,因此排除了湍流作为潜在的搅拌机制。尽管过去使用了各种依靠聪明的几何形状,错流,微型搅拌器或外部磁场的方法,但我们的工作集中在通过简单地在两种流体通过的入口处以脉动流速在简单几何形状的微通道中产生搅拌。带入设备。来自实验的流动可视化以及数值模拟表明,大多数混合发生在汇合区域。即使在先前的工作中已经表明,使用该技术可以在较大的规模上实现良好的混合,但是挑战之一是确保混合也以小规模(即,颗粒级)发生。为了解决这个问题,我们使用计算流体动力学和动力学系统理论仔细研究了示踪剂颗粒的动力学,并根据雷诺数,斯特劳哈尔数和两个入口流之间的相差来探索参数空间。具体来说,我们生成一个分叉图,其中同时发生规则和混沌动力学。如所预期的,混沌状态在所有(大和小的)尺度上都表现出材料线的拉伸和折叠,因此有望作为一种有效的混合工具。

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