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Collaborative Research: A Dynamical Systems Approach to Shepherding and Sorting Microparticles in Fluids

Collaborative Research: A Dynamical Systems Approach to Shepherding and Sorting Microparticles in Fluids
合作研究:用于引导和分类流体中微粒的动态系统方法
批准号:
1538824
负责人:
Jeff Eldredge
金额:
$22.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2019-08-31

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中文摘要
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英文摘要
Engineering problems requiring the controlled transport and positioning of solid particles suspended in fluids on a microscopic scale arise in contexts ranging from biomedical research to precision manufacturing. Technology enabling particle manipulation without direct mechanical contact between particles and manipulators is required in situations when the particles are fragile (like biological cells) or when high throughput is critical. This award supports fundamental research advancing a strategy whereby slender vibrating probes are used to excite patterns of flow in particle-laden fluids that in turn advect particles in desired ways. Preliminary results indicate that this approach can be used not only to achieve particle transport and positioning but also to separate particles according to physical attributes like size and geometry. The project requires coordinated activity by members of the research team in mathematical, computational, and experimental domains. Outcomes from this activity will include both scientific results with diverse practical implications and novel mechanisms for training undergraduate and graduate students across traditional disciplinary lines.Technical issues to be addressed include the development of mathematical models with varying degrees of detail representing fluid flows near systems of vibrating probes, the development of approximate analytical models for the time-averaged dynamics of inertial particles advected by such flows, and the development of top-level control strategies for archetypical problems in particle transport and sorting. All of these will build upon successful preliminary studies by the project team and will be validated with numerical simulations exploiting high-fidelity computational models and with physical experiments exploiting a unique laboratory platform under development.
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Collaborative Research: Learning to estimate and control gust-induced aerodynamics
  • 批准号:
    2247005
  • 项目类别:
    Standard Grant
  • 资助金额:
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  • 财政年份:
    2023
  • 负责人:
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  • 项目类别:
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  • 财政年份:
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  • 负责人:
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国内基金
海外基金
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  • 项目类别:
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  • 资助金额:
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  • 负责人:
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  • 依托单位:
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