Geometrically-mediated snap-off of water-in-oil emulsion droplets in microfluidic flow focusing devices.

Journal of oil, gas and petrochemical sciences Pub Date : 2018-01-01 Epub Date: 2018-03-26 DOI:10.30881/jogps.00009
Jia Yao, John Oakey
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引用次数: 5

Abstract

Microfluidic channel networks allow the control of flowing fluids within structures with length scales on the order of single or tens of micrometers (μm). This affords the opportunity to mix and separate fluids with fine precision and, in the case of immiscible multiphase flows, generate stable emulsions with well-controlled sizes and size distributions. It is generally well understood that emulsion droplet size can be regulated by carefully balancing capillary-associated parameters, such as relative fluid velocity, with the interfacial tension of the immiscible phases. Channel size and geometry, particularly that of the junction where fluids merge in microfluidic flow focusing (or "pinch flow") devices, has been shown to scale droplet size and bound the lower droplet size. Channel constrictions or "nozzles" are commonly employed to amplify the extensional flow at channel junctions, but their function has not been quantified and is, therefore, not well understood. This paper describes the use of geometry as a tunable parameter in microfluidic droplet generator design by focusing upon the effect of nozzle geometry (relative width, length and depth) upon droplet snap off behavior. Our results show that nozzle geometry can dramatically influence droplet size by shifting its snap-off position, an effect that can be anticipated by Raleigh-Plateau theory.

Abstract Image

Abstract Image

微流体聚焦装置中油包水乳化液液滴的几何介导断裂。
微流体通道网络允许在单个或数十微米(μm)的长度尺度上控制结构内的流动流体。这为精确混合和分离流体提供了机会,并且在不混相多相流的情况下,生成具有良好控制尺寸和尺寸分布的稳定乳液。人们普遍理解,乳状液滴的大小可以通过仔细平衡毛细管相关参数(如相对流体速度)和不混相的界面张力来调节。通道尺寸和几何形状,特别是在微流体聚焦(或“捏流”)装置中流体合并的连接处,已被证明可以缩放液滴尺寸并限制较低的液滴尺寸。通道收缩或“喷嘴”通常用于放大通道连接处的拉伸流动,但其功能尚未被量化,因此尚未得到很好的理解。本文通过聚焦喷嘴几何形状(相对宽度、长度和深度)对液滴脱落行为的影响,描述了几何形状作为微流控液滴发生器设计中可调参数的使用。我们的研究结果表明,喷嘴的几何形状可以通过改变其关闭位置来显著影响液滴的大小,这种效应可以通过罗利-高原理论来预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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