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Electroosmotic flow, ionic currents, and pressure-induced flow in microsystem channel networks: NMR mapping and computational fluid dynamics simulations

机译:微系统通道网络中的电渗流,离子流和压力感应流:NMR映射和计算流体动力学模拟

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Using nuclear magnetic resonance (NMR) velocity mapping and NMR current density mapping as well as finite-element computational fluid dynamics methods, transport in microsystem electrolytic cells with increasing complexity has been examined ranging from single straight channels to random-site percolation clusters. This sort of system is considered as paradigm for more or less complex devices in microsystem technology. Corresponding model objects were designed on a computer and milled into ceramic (polar) or polystyrene (nonpolar) matrices. The pore space was filled with electrolyte solutions. Maps of the following quantities were recorded: velocity of hydrodynamic flow driven by external pressure gradients, velocity of electroosmotic flow (EOF), ionic current density in the presence of EOF, ionic current density in the absence of EOF As far as possible, the experiments were supplemented by computational fluid dynamics simulations. It is shown that EOF, as well as the electric current, leads to recirculation patterns in closed complex structures such as percolation clusters. Remarkably, all transport patterns turned out to be dissimilar, and the occurrence and positions of eddies do not coincide in the different maps. Velocity histograms and the mean velocity as a function of the porosity have been evaluated. An EOF percolation transition is found at the geometrical percolation threshold. The combined application of NMR techniques for the quantitative, noninvasive visualization of the total variety of hydro- and electrodynamics in the same channel system promises to become a powerful tool for design purposes in microsystem technology.
机译:使用核磁共振(NMR)速度映射和NMR电流密度映射以及有限元计算流体动力学方法,已经研究了复杂性不断增加的微系统电解池中的运输,范围从单个直通道到随机位点渗滤簇。这种系统被认为是微系统技术中或多或少复杂设备的范例。在计算机上设计了相应的模型对象,并将其研磨成陶瓷(极性)或聚苯乙烯(非极性)基质。孔空间充满电解质溶液。记录了以下数量的图:由外部压力梯度驱动的流体流动速度,电渗流速度(EOF),存在EOF时的离子电流密度,不存在EOF时的离子电流密度尽可能地进行实验通过计算流体动力学仿真得到补充。结果表明,EOF以及电流会导致封闭的复杂结构(例如渗流团簇)中的再循环模式。值得注意的是,所有传输模式都不同,并且涡流的出现和位置在不同的图中不一致。已评估了速度直方图和平均速度与孔隙率的关系。在几何渗滤阈值处发现了EOF渗滤过渡。 NMR技术的结合应用,用于定量,无创地显示同一通道系统中的流体动力学和电动动力学的各种变化,有望成为微系统技术中用于设计目的的强大工具。

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