Mapping low-Reynolds-number microcavity flows using microfluidic screening devices

被引:0
|
作者
Rami Fishler
Molly K. Mulligan
Josué Sznitman
机构
[1] Technion–Israel Institute of Technology,Department of Biomedical Engineering
来源
Microfluidics and Nanofluidics | 2013年 / 15卷
关键词
Vortex; Computational Fluid Dynamic; Particle Image Velocimetry; Computational Fluid Dynamic Simulation; Vortex Center;
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学科分类号
摘要
Low-Reynolds-number flows in cavities, characterized by separating and recirculating flows are increasingly used in microfluidic applications such as mixing and sorting of fluids, cells, or particles. However, there is still a lack of guidelines available for selecting the appropriate or optimized microcavity configuration according to the specific task at hand. In an effort to provide accurate design guidelines, we investigate quantitatively low-Reynolds-number cavity flow phenomena using a microfluidic screening platform featuring rectangular channels lined with cylindrical cavities. Using particle image velocimetry (PIV), supported by computational fluid dynamics (CFD) simulations, we map the entire spectrum of flows that exist in microcavities over a wide range of low-Reynolds numbers (Re = 0.1, 1, and 10) and dimensionless geometric parameters. Comprehensive phase diagrams of the corresponding microcavity flow regimes are summarized, capturing the gradual transition from attached flow to a single vortex and crossing through two- and three-vortex recirculating systems featuring saddle-points. Finally, we provide design insights into maximizing the rotational frequencies of recirculating single-vortex microcavity systems. Overall, our results provide a complete and quantitative framework for selecting cavities in microfluidic-based microcentrifuges and vortex mixers.
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页码:491 / 500
页数:9
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