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Numerical study of enhanced mixing in pressure-driven flows in microchannels using a spatially periodic electric field

机译:空间周期电场在微通道中压力驱动流中增强混合的数值研究

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We propose an innovative mechanism for enhancing mixing in steady pressure driven flow of an electrolytic solution in a straight rectangular microchannel. A transverse electric field is used to generate an electroosmotic flow across the cross-section. The resulting flow field consists of a pair of helical vortices that transport fluid elements along the channel. We show, through numerical simulations, that chaotic advection may be induced by periodically varying the direction of the applied electric field along the channel length. This periodic electric field generates a longitudinally varying, three-dimensional steady flow, such that the streamlines in the first half of the repeating unit cell intersect those in the second half, when projected onto the cross-section. Mixing is qualitatively characterized by tracking passive particles and obtaining Poincaré maps. For quantification of the extent of mixing, Shannon entropy is calculated using particle advection of a binary mixture. The convection diffusion equation is also used to track the evolution of a scalar species and quantify the mixing efficiency as a function of the Péclet number.
机译:我们提出了一种创新机制,用于增强直矩形微通道中电解液稳定压力驱动流动的混合。横向电场用于在横截面上产生电渗流。得到的流场由一对螺旋涡流组成,该螺旋涡流沿着通道运输流体元件。我们通过数值模拟显示,通过定期改变沿沟道长度的施加电场的方向来诱导混沌平面。该周期性电场产生纵向变化的三维稳定流动,使得当投射到横截面上时,重复单元电池的前半部分的下半部分的流线相交。通过跟踪被动颗粒并获得Poincaré地图,混合的特征在于。为了定量混合程度,使用二元混合物的粒子平流计算香农熵。对流扩散方程还用于跟踪标量物种的演变,并将混合效率量化为Péclet号的函数。

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