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Microfluidic droplet trapping, splitting and merging with feedback controls and state space modelling

dc.contributor.authorWong, David
dc.contributor.authorRen, Carolyn L.
dc.date.accessioned2018-12-11T15:42:39Z
dc.date.available2018-12-11T15:42:39Z
dc.date.issued2016-07-16
dc.description.abstractWe combine image processing and feedback controls to regulate droplet movements. A general modelling approach is provided to describe droplet motion in a pressure-driven microfluidic channel network. A state space model is derived from electric circuit analogy and validated with experimental data. We then design simple decentralized controllers to stabilize droplet movement. The controllers can trap droplets at requested locations by fine tuning inlet pressures constantly. Finally, we demonstrate the ability to split and merge the same droplet repeatedly in a simple T-junction. No embedded electrodes are required, and this technique can be implemented solely with a camera, a personal computer, and commercially available E/P transducers.en
dc.identifier.urihttps://doi.org/10.1039/C6LC00626D
dc.identifier.urihttp://hdl.handle.net/10012/14222
dc.language.isoenen
dc.publisherRoyal Society of Chemistry (RSC)en
dc.titleMicrofluidic droplet trapping, splitting and merging with feedback controls and state space modellingen
dc.typeArticleen
dcterms.bibliographicCitationWong, D., & Ren, C. L. (2016). Microfluidic droplet trapping, splitting and merging with feedback controls and state space modelling. Lab on a Chip, 16(17), 3317Ð3329. https://doi.org/10.1039/C6LC00626Den
uws.contributor.affiliation1Faculty of Engineeringen
uws.contributor.affiliation2Mechanical and Mechatronics Engineeringen
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.scholarLevelGraduateen
uws.typeOfResourceTexten
uws.typeOfResourceTexten

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