MRI: Acquisition of a high-speed stereoscopic particle image velocimetry system for research and teaching at the University of St. Thomas

MRI：圣托马斯大学购置高速立体粒子图像测速系统用于研究和教学

• 批准号: 2018403
• 负责人: David Forliti
• 金额: $ 42.4万
• 依托单位: University of St. Thomas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018403&HistoricalAwards=false
• 关键词: MRI; Acquisition; speed; stereoscopic; particle

Complex fluid flows play a critical role in many important areas of society and technology including transportation, energy, defense, and the environment. Examples of complex flow phenomena include flows with chemical reactions, flows involving both liquids and gases, and flows that interact with structures. The proposal will fund the acquisition of an instrument referred to as a particle image velocimeter. A broad portfolio of research projects has been developed to leverage the proposed instrument as well as expertise from a variety of disciplines. Projects will investigate the mechanism and control of destructive combustion instabilities, drag reduction for ships and pipelines using microbubbles, and the conversion of acoustic noise into useful energy, to name a few. These efforts can directly lead to advancements in the efficiency, reliability, and safety of these systems while reducing environmental impacts. The proposed projects enabled by the instrument includes collaborations across disciplines as well as project teams spanning a variety of regional higher-education institutions. Additional broader impacts include use of the instrument in multiple undergraduate and graduate courses, outreach activities including a K-12 summer STEM program for female students and enhanced preparation of undergraduate researchers for graduate study.The University of St. Thomas proposes an instrument acquisition project to fund a high-speed stereoscopic particle image velocimetry system. The objective is to use the requested system to support research and teaching needs of major faculty users and their collaborators, faculty users at the University of Minnesota and Dunwoody College of Technology, and additional St. Thomas engineering faculty and students. The instrument will enable a broad range of interdisciplinary research integrating fluid dynamics, data science, modeling and simulation, and digital image analysis. A wide range of physical phenomena will be investigated that require detailed 3-D measurements taken at high-speeds to better understand the important details of the flow behavior. Immediate plans include the study of fluid/structure interactions, multiphase flows, acoustic/flow interactions, flow instabilities, and flow transitions. These flows exhibit complexities including competing and coexisting instability mechanisms, phase boundaries, density gradients, and multiscale features in space and time. The instrument will further be used within the curriculum for topics such as fluid mechanics and heat transfer, experimental methods, engineering design, verification and validation of numerical simulations, and big data mining and visualization. Finally, the instrument enables extensive validation of increasingly sophisticated modeling and simulation tools both as a research activity and with industry partnerships.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

复杂的流体流动在交通、能源、国防和环境等许多重要的社会和技术领域发挥着至关重要的作用。 复杂流动现象的例子包括具有化学反应的流动、涉及液体和气体的流动以及与结构相互作用的流动。 该提案将资助购买一种称为粒子图像测速仪的仪器。 已经开发了广泛的研究项目组合，以利用拟议的工具以及来自各个学科的专业知识。 项目将研究破坏性燃烧不稳定性的机制和控制、使用微泡减少船舶和管道的阻力、以及将声学噪声转化为有用能量等。 这些努力可以直接提高这些系统的效率、可靠性和安全性，同时减少对环境的影响。 该工具支持的拟议项目包括跨学科合作以及跨多个地区高等教育机构的项目团队。 其他更广泛的影响包括在多个本科生和研究生课程中使用该仪器、外展活动（包括针对女学生的 K-12 夏季 STEM 计划）以及加强本科生研究人员研究生学习的准备。圣托马斯大学提出了一个仪器采购项目资助高速立体粒子图像测速系统。目标是使用所需的系统来支持主要教师用户及其合作者、明尼苏达大学和邓伍迪理工学院的教师用户以及其他圣托马斯工程学院的教师和学生的研究和教学需求。该仪器将实现集成流体动力学、数据科学、建模和仿真以及数字图像分析的广泛跨学科研究。将研究各种物理现象，需要在高速下进行详细的 3D 测量，以更好地了解流动行为的重要细节。 近期计划包括研究流体/结构相互作用、多相流、声学/流动相互作用、流动不稳定性和流动转变。这些流动表现出复杂性，包括竞争和共存的不稳定机制、相界、密度梯度以及空间和时间的多尺度特征。该仪器将进一步在课程中用于流体力学和传热、实验方法、工程设计、数值模拟的验证和验证以及大数据挖掘和可视化等主题。最后，该仪器能够对日益复杂的建模和仿真工具作为研究活动和行业合作伙伴进行广泛验证。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。