Numerical analysis of mixing performance in sinusoidal microchannels based on particle motion in droplets

dc.citation.epage1108en_US
dc.citation.issueNumber5en_US
dc.citation.spage1101en_US
dc.citation.volumeNumber19en_US
dc.contributor.authorÖzkan, A.en_US
dc.contributor.authorErdem, E. Y.en_US
dc.date.accessioned2016-02-08T09:43:30Z
dc.date.available2016-02-08T09:43:30Z
dc.date.issued2015en_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.description.abstractThis numerical study was conducted to analyze and understand the parameters that affect the mixing performance of droplet-based flow in sinusoidal microfluidic channels. Finite element analysis was used for modeling fluid flow and droplet formation inside the microchannels via tracking interface between the two heterogeneous fluids along with multiple particle trajectories inside a droplet. The solutions of multiphase fluid flow and particle trajectories were coupled with each other so that drag on every single particle changed in every time step. To solve fluid motion in multiphase flow, level set method was used. Parametric study was repeated for different channel dimensions and different sinusoidal channel profiles. These results were compared with mixing in droplets inside a straight microchannel. Additionally, tracking of multiple particles inside a droplet was performed to simulate the circulating flow profile inside the droplets. Based on the calculation of the dispersion length, particle trajectories, and velocities inside droplets, it is concluded that having smaller channel geometries increases the mixing performance inside the droplet. This also shows that droplet-based fluid flow in microchannels is very suitable for performing chemical reactions inside droplets as it will occur faster. Moreover, narrower and sinusoidal microchannels showed better dispersion length difference compared to straight and wider microchannels.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:43:30Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2015en
dc.identifier.doi10.1007/s10404-015-1628-7en_US
dc.identifier.issn1613-4982
dc.identifier.urihttp://hdl.handle.net/11693/21236
dc.language.isoEnglishen_US
dc.publisherSpringer Verlagen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10404-015-1628-7en_US
dc.source.titleMicrofluidics and Nanofluidicsen_US
dc.subjectDispersion lengthen_US
dc.subjectDroplet formationen_US
dc.subjectDroplet-based microfluidicsen_US
dc.subjectLevel set methoden_US
dc.subjectMicrofluidicsen_US
dc.subjectMixing performanceen_US
dc.subjectDispersionsen_US
dc.subjectDrop breakupen_US
dc.subjectDrop formationen_US
dc.subjectFinite element methoden_US
dc.subjectFlow of fluidsen_US
dc.subjectLevel measurementen_US
dc.subjectMicrochannelsen_US
dc.subjectMicrofluidicsen_US
dc.subjectMixingen_US
dc.subjectMultiphase flowen_US
dc.subjectNumerical methodsen_US
dc.subjectTrajectoriesen_US
dc.subjectDispersion lengthen_US
dc.subjectDroplet formationen_US
dc.subjectDroplet-based microfluidicsen_US
dc.subjectLevel Set methoden_US
dc.subjectMixing performanceen_US
dc.subjectDropsen_US
dc.titleNumerical analysis of mixing performance in sinusoidal microchannels based on particle motion in dropletsen_US
dc.typeArticleen_US

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