Computational Analysis of Nanofluid Flow in Microchannels with Applications to Micro-heat Sinks and Bio-MEMS

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dc.contributor.advisor C. Kleistreuer, Committee Chair en_US
dc.contributor.advisor R.E. White, Committee Member en_US
dc.contributor.advisor K.M. Lyons, Committee Member en_US
dc.contributor.advisor Z. Zhang, Committee Member en_US Li, Jie en_US 2010-04-02T19:00:23Z 2010-04-02T19:00:23Z 2008-12-05 en_US
dc.identifier.other etd-11062008-162102 en_US
dc.description.abstract Nanofluids, i.e., dilute suspensions of nanoparticles in liquids, may exhibit quite different thermal properties than the pure carrier fluids. For example, numerous experiments with nanofluids have shown that the effective thermal conductivities for such mixtures are measurably elevated, and hence beneficial applications to (micro-scale) cooling are obvious. A very different application of nanofluids could be in modern medicine, where for example, nanodrugs are mixed in microchannels for controlled delivery with bio-MEMS. In general, to optimize nanofluid flow in microchannels, best possible conduit geometries, mixing units, and device operational conditions have to be found for specific applications. Specifically, a suitable model of common nanofluids, performance as well as cost effective mixers, and entropy minimizing channel designs are the prerequisites for achieving these project objectives. Two effective thermal conductivity models for nanofluids were compared in detail, where the new KKL (Koo-Kleinstreuer-Li) model, based on Brownian-motion induced micro-mixing, achieved good agreements with the currently available experimental data sets. The thermal performance of nanofluid flow in a trapezoidal microchannel was analyzed using pure water as well as a nanofluid, i.e., CuO-water, with volume fractions of 1% and 4% CuO-particles with . It was found that nanofluids do measurably enhance the thermal performance of microchannel mixture flow with a small increase in pumping power. Specifically, the thermal performance increases with volume fraction; but, the extra pressure drop, or pumping power, will somewhat decrease the beneficial effects. Microchannel heat sinks with nanofluids are expected to be good candidates for the next generation of cooling devices. Microcooling device design aspects in light of minimization of entropy generation were investigated numerically. The influence of the Reynolds number (inlet velocity), fluid inlet temperature, channel geometry and heat flux on frictional and heat transfer entropy generation was investigated. It was found that the employment of nanofluids can help achieving entropy minimization due to their high thermal properties. The heat transfer induced entropy generation is dominant for the micro-cooling device. The frictional entropy generation becomes more important for high aspect ratio geometries. A bio-MEMS application in terms of nanofluid flow in microchannels is presented. Specifically, the transient 3-D problem of controlled nanodrug delivery in a heated microchannel has been numerically solved to gain new physical insight and to determine suitable geometric and operational system parameters. Computer model accuracy was verified via numerical tests and comparisons with benchmark experimental data sets. The overall design goals of near-uniform nanodrug concentration at the microchannel exit plane and desired mixture fluid temperature were achieved with computer experiments considering different microchannel lengths, nanoparticle diameters, channel flow rates, wall heat flux areas, and nanofluid supply rates. Such micro-systems, featuring controlled transport processes for optimal nanodrug delivery, are important in laboratory-testing of predecessors of implantable smart devices as well as in the development of pharmaceuticals and for performing biomedical precision tasks. As a sample application, the microfluidics of controlled nanodrug delivery to living cells in a representative, partially heated microchannel has been analyzed, using a validated computer model. The objective was to achieve uniform nanoparticle exit concentrations at a minimum microchannel length with the aid of simple static mixers, e.g., a multi-baffle-slit or perforated injection micro-mixer. A variable wall heat flux, which influences the local nanofluid properties and carrier fluid velocities, was added to ensure that mixture delivery to the living cells occurs at the required (body) temperature of . The results show that both the baffle-slit micro-mixer and the perforated injection micro-mixer aid in decreasing the microchannel length while achieving uniform nanoparticle exit concentrations. The injection micro-mixer not only decreases best the system’s dimension, but also reduces the system power requirement. The baffle-slit micro-mixer also decreases the microchannel length; however, it may add to the power requirement. The imposed wall heat flux aids in enhanced nanoparticle and base-fluid mixing as well. en_US
dc.rights I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. en_US
dc.subject nanofluids en_US
dc.subject microchannels en_US
dc.subject micro-heat sinks en_US
dc.subject bio-MEMS en_US
dc.title Computational Analysis of Nanofluid Flow in Microchannels with Applications to Micro-heat Sinks and Bio-MEMS en_US PhD en_US dissertation en_US Mechanical Engineering en_US

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