ASME 2017 15th International Conference on Nanochannels, Microchannels, and Minichannels 2017
DOI: 10.1115/icnmm2017-5552
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An Ultra-High-Throughput Flow-Focusing Microfluidic Device for Creation of Liquid Droplets in Air

Abstract: In this paper a new microfluidic technique is proposed for ultra-high-throughput generation of micron-sized water droplets using a high-speed air. We use a 3D flow-focusing microchannel fabricated in PDMS by multilayer lithography process. The interaction of liquid and gas created three main flow conditions which are: Flooded, Dripping, and Jetting. We characterize the Jetting regime where a capillary jet surrounded by the air breaks up into uniform array of droplets. Frequency of generation and droplet size a… Show more

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Cited by 3 publications
(2 citation statements)
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“…Si et al [423] have developed a gaseous co-flow focusing process to produce stimuli-responsive microbubbles that comprise perfluorocarbon suspension of silver nanoparticles in a lipid. Gaseous flow focusing has been implemented not only in the original axisymmetric configuration but also in 2D and 3D geometries [424]. Gaseous flow focusing offers several attractive advantages over other atomization methods.…”
Section: Flow Focusing Applicationsmentioning
confidence: 99%
“…Si et al [423] have developed a gaseous co-flow focusing process to produce stimuli-responsive microbubbles that comprise perfluorocarbon suspension of silver nanoparticles in a lipid. Gaseous flow focusing has been implemented not only in the original axisymmetric configuration but also in 2D and 3D geometries [424]. Gaseous flow focusing offers several attractive advantages over other atomization methods.…”
Section: Flow Focusing Applicationsmentioning
confidence: 99%
“…Si et al (2016) have developed a gaseous co-flow focusing process to produce stimuli-responsive microbubbles that comprise perfluorocarbon suspension of silver nanoparticles in a lipid. Gaseous flow focusing has been implemented not only in the original axisymmetric configuration but also in 2D and 3D geometries (Tirandazi et al, 2018).…”
Section: Flow Focusing Applicationsmentioning
confidence: 99%