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: 1538814
• 负责人: Scott Kelly
• 金额: $ 25万
• 依托单位: University of North Carolina at Charlotte
• 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
• 起止时间: 2015-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1538814&HistoricalAwards=false
• 关键词: Collaborative; Research; Dynamical; Systems; Approach

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.

需要悬浮在流体中的固体颗粒在微观尺度上的受控运输和定位的工程问题出现在从生物医学研究到精密制造的范围内。在颗粒易碎（如生物细胞）或高通量至关重要的情况下，需要在颗粒和操纵器之间没有直接机械接触的情况下实现颗粒操纵的技术。该奖项支持基础研究推进一项战略，即细长的振动探针用于激发充满颗粒的流体中的流动模式，从而以所需的方式平流输送颗粒。初步结果表明，这种方法不仅可以用来实现颗粒的传输和定位，而且还可以根据颗粒的尺寸和几何形状等物理属性来分离颗粒。该项目需要研究团队成员在数学，计算和实验领域的协调活动。这项活动的成果将包括具有不同实际意义的科学成果和培养跨传统学科的本科生和研究生的新机制。要解决的技术问题包括开发具有不同详细程度的数学模型，以代表振动探针系统附近的流体流动，开发由此类流动平流输送的惯性颗粒的时间平均动力学的近似分析模型，以及颗粒输送和分选中典型问题的顶层控制策略的开发。所有这些都将建立在项目团队成功的初步研究的基础上，并将通过利用高保真计算模型的数值模拟和利用正在开发的独特实验室平台的物理实验进行验证。