权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Microscale Fluid--Structure Interactions: Towards a Predictive Theory of Their Dynamic Response

微尺度流体-结构相互作用：动态响应的预测理论

基本信息

批准号：
1705637
负责人：
Ivan Christov
金额：
$ 29.95万
依托单位：
Purdue University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-08-01 至 2022-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1705637&HistoricalAwards=false
关键词：
Microscale Fluid Structure Interactions Towards

项目摘要

Microfluidics, which refers to fluid flows at micrometer scales (for some perspective, a human hair has a diameter between 20 and 100 micrometers), has fundamentally impacted fields ranging from cell biology to medical "lab on a chip" diagnostics to chemical manufacturing. Despite all the success achieved in practice, fundamental questions regarding fluid behavior at such small length scales remain unanswered. This research project involves formulating theoretical models that will be able to accurately emulate and predict the static and dynamic responses of microfluidic systems. Solving these foundational problems can lead to the design of even more effective microfluidic systems. This research project is being performed by a diverse team led by a PI with a strong commitment to mentorship and significant experience with industrial research and government partnerships. In line with Purdue's principles and long-standing achievements of inclusion and promotion of a diverse workforce and environment, early-career scholars trained as part of this project are being taught to achieve excellence in their scientific endeavors and to become champions of broadening participation of underrepresented groups in STEM-based careers. This research project involves formulating models that combine theories of low Reynolds number hydrodynamics with elasticity, using partial differential equations, to extend heuristic expressions currently in use. This fusion of advanced techniques will yield rigorous, predictive equations that better represent the static and dynamic responses of soft microfluidic systems. Specifically, the PI is developing, through a first-principles mathematical analysis, parameter-free relations between the flow rate through a soft microchannel and the corresponding pressure drop across it. While the static (steady-state) case is typically of most interest, the dynamic response is also relevant in, for example, stop-flow and soft lithography. Therefore, the inflation and relaxation of soft microchannels is also being analyzed as part of this project, providing analytical results for the transient motion and benchmarking this against high-fidelity numerical simulations. The complex material rheology of soft solids is also being considered. Finally, all analytical and computational results are being validated against experimental data from the literature. The ultimate objective of this project is to develop a catalog of flow rate-pressure drop relations, without fitting parameters and capable of useful predictions for real-world applications, for a variety of deformable microchannel shapes and types that arise in micro- and bio-fluid applications.

微流体学指的是微米级的流体流动(从某种角度来看，人类头发的直径在20到100微米之间)，它已经从根本上影响了从细胞生物学到医学“芯片实验室”诊断再到化学制造的各个领域。尽管在实践中取得了所有的成功，但关于如此小尺度下的流体行为的基本问题仍然没有得到回答。这项研究项目涉及建立理论模型，这些模型将能够准确地模拟和预测微流体系统的静态和动态响应。解决这些基础性问题可以设计出更有效的微流控系统。这一研究项目由一个由一名PI领导的多元化团队执行，该团队对指导工作有着坚定的承诺，并在工业研究和政府合作方面拥有丰富的经验。根据普渡的原则以及包容和促进多样化劳动力和环境的长期成就，作为该项目的一部分接受培训的早期职业学者正在接受培训，以在他们的科学努力中取得卓越成就，并成为扩大未被充分代表的群体在基于STEM的职业生涯中参与的倡导者。该研究项目涉及建立模型，将低雷诺数流体力学理论与弹性相结合，使用偏微分方程式来扩展目前使用的启发式表达式。这种先进技术的融合将产生严格的预测方程，更好地代表软微流体系统的静态和动态响应。具体地说，PI正在通过第一原理的数学分析，建立通过软微通道的流量与其对应的压降之间的无参数关系。虽然静态(稳态)情况通常是最有意义的，但动态响应也与例如停流和软光刻有关。因此，软微通道的充气和松弛也是该项目的一部分，为瞬变运动提供分析结果，并将其与高保真数值模拟进行比较。软固体的复杂材料流变学也被考虑在内。最后，所有的分析和计算结果都与文献中的实验数据进行了验证。该项目的最终目标是为微流体和生物流体应用中出现的各种可变形微通道形状和类型开发一个流量-压降关系目录，而不需要拟合参数，并且能够对现实世界的应用进行有用的预测。