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Computational Analysis of Mixing in Microchannels

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dc.contributor.author Adhikari, Param en_US
dc.date.accessioned 2013-10-22T18:32:27Z
dc.date.accessioned 2019-09-08T02:47:48Z
dc.date.available 2013-10-22T18:32:27Z
dc.date.available 2019-09-08T02:47:48Z
dc.date.issued 2013
dc.identifier 858279998 en_US
dc.identifier.other b21326551 en_US
dc.identifier.uri http://hdl.handle.net/1989/10465
dc.description x, 100 leaves : illustrations ; 29 cm. en_US
dc.description.abstract Not only due to its versatility and inexpensive availability, lab-on-a-chip integrates multitasks for a complete æTAS. Due to easy portability in micro-devices, microfluidics has potential to revolutionize in many applications that include food, pharmaceutical, biomedical and chemical industries, etc. Mixing is inevitable for the analysis of trace chemicals, drugs, bio-molecules, fluidic controls in microfluidics, etc. Such miniaturized microfluidics had already proven better over bulky instrumentations, because of time and transportation required in handling. In this work, both active and passive were computationally studied. Passive mixing is considered with the mass fraction at different velocities of various mixer models when the fluids are in contact with each other. A two dimensional comparative analysis was performed to see the degree of mixing on two standard geometries including T and Y for general purposes. Along with standard geometries including T & Y, combinatory models with more than two inlet ports were also investigated using ANSYS Fluent, finite volume software. The engulfment flow was the major reason responsible for the mixing process. The engulfment flow was one of the major reasons responsible for the mixing process. Diffusion is a dominant phenomenon in passive mixing at the junction where various inlets meet and convective process becomes prevalent. Identification of geometrical correlation with the flow field variables and mixing parameters are crucial for better mixing design. The active mixing would be mathematically modeled with additional body force in the momentum equation. Thus, active mixers are externally activated for better mixing possibilities than the time consuming and possible complex geometries in passive mixing. Concentration variances over time at the outlet were simultaneously compared in all models for mixing. Also average concentration was tracked over time so as to confirm uniformity in mixing. Active circular mixers were observed to work effectively with four e en_US
dc.description.statementofresponsibility by Param Adhikari. en_US
dc.language.iso en_US en_US
dc.relation.ispartofseries Master's Theses no. 1389 en_US
dc.subject.lcsh Computational fluid dynamics. en_US
dc.subject.lcsh Microfluidics. en_US
dc.subject.lcsh Fluid dynamics. en_US
dc.subject.lcsh Mechanical engineering. en_US
dc.title Computational Analysis of Mixing in Microchannels en_US
dc.type Thesis en_US


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