Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/154144
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dc.titleMODELING AND OPTIMIZATION OF A MICRO OPTOFLUIDIC LENS
dc.contributor.authorKONG TIAN FOOK
dc.date.accessioned2019-05-15T04:18:48Z
dc.date.available2019-05-15T04:18:48Z
dc.date.issued2008
dc.identifier.citationKONG TIAN FOOK (2008). MODELING AND OPTIMIZATION OF A MICRO OPTOFLUIDIC LENS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/154144
dc.description.abstractIn this research, we present a framework to investigate the characteristics of a micro optofluidic lens using the finite volume method. We compared the characteristics of micro optofluidic lens with rectangular, diamond, and circular expansion chambers. Among these three geometries, we found that circular chamber has the most stable flow. The simulated curvature of the micro optofluidic lens with circular expansion chamber agrees with analytical and experimental results. A rectangular expansion chamber has a shortcoming. At high flow rate ratio between core and side flow rate, the curvature of the lens is decreased due to wall effect. In addition, we also explored the possibility of using double geometry expansion chamber. We observed that, given the same inlet flow conditions, the curvature of lens obtained with double circular expansion chamber is larger than single circular chamber. As such, the double geometry lens has higher tunability in terms of the focal distance. Furthermore, we present a new design to realize a biconcave lens. Using this new design, we demonstrated the ability to perform lens switching by controlling the flow rates of the side streams.
dc.sourceSMA BATCHLOAD 20190422
dc.subjectmicro optofludics
dc.subjectliquid lens
dc.subjecthydrodynamic spreading
dc.subjectfinite volume
dc.typeThesis
dc.contributor.departmentSINGAPORE-MIT ALLIANCE
dc.contributor.supervisorNGUYEN NAM-TRUNG
dc.contributor.supervisorMURALI DAMODARAN
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE IN COMPUTATIONAL ENGINEERING
dc.description.otherDissertation Supervisors: 1. Assoc. Prof. Nguyen Nam-Trung, NTU., 2. Assoc. Prof. Murali Damodaran, SMA Fellow, NTU
Appears in Collections:Master's Theses (Restricted)

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