MRI: Acquisition of a Tomographic Particle Image Velocimetry System

凭借重大研究仪器奖，克拉克森大学将获得一套层析粒子图像测速系统。该仪器的购置将促进各种专题的科学研究取得进展，如人类发声、水文学中泥沙和碎片迁移的建模和预测以及对生物多样性和生态的影响，以及碳固存的新方法。确保克拉克森大学整个校区广泛和公平地使用该系统，将使克拉克森处于流体力学研究能力的前沿，并鼓励和促进新颖的跨学科研究努力。这一仪器的提供将为本科生和研究生提供教育机会，包括提供有关实验技术的课堂教学，以及关于该系统实际使用的实验室实践培训。克拉克森大学为相当数量的STEM领域的学生提供服务，这些学生来自较低的社会经济背景，在STEM领域的代表性不足。接触和使用这种最先进的测量系统将激励下一代科学家和工程师。层析粒子图像测速系统的主要优点是能够同时求解体积内所有三个坐标方向上的速度矢量和速度梯度张量。这一能力将极大地推动克拉克森大学在下列特定领域的研究工作：(1)有声语音产生中的气动声源识别和流体-结构相互作用，以确定病理行为如何影响发声功能；(2)应用于减轻洪水事件造成的破坏，量化冰川和碎屑障碍物引起的河流中的水流形态；(3)通过量化与物理、生物和生态相关的泥沙输送过程来增强城市溪流的生态功能；(4)控制翼型上的动态失速，以提高飞机性能；(5)量化通过地质裂缝的多相流，以优化碳固定，(6)节点流阻力最小化及其在大型车辆运输中提高燃油效率的应用；(7)从实验速度场估计压力场的新技术的发展。预计，实施一项免费向新用户提供一定比例的仪器的战略，将在校园内催化更多新的和令人兴奋的跨学科研究工作。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

With the Major Research Instrumentation award, Clarkson University will acquire a tomographic particle image velocimetry system. Acquisition of the instrument will facilitate advancements in scientific research across a diverse range of topics, such as human voice production, modeling and prediction of sediment and debris transport in hydrology and the impact on biodiversity and ecology, and novel approaches for carbon sequestration. Ensuring broad and equitable access to the system across the entire campus of Clarkson University will place Clarkson at the forefront of fluid dynamics research capabilities and encourage and promote novel cross-disciplinary research endeavors. Availability of this instrument will afford educational opportunities at both the undergraduate and graduate levels through classroom instruction on the experimental technique, as well as hands-on laboratory training on the practical use of the system. Clarkson University serves a significant number of students that are underrepresented in STEM fields and that come from lower socioeconomic backgrounds. Exposure to, and utilization of, this state-of-the-art measurement system will inspire the next generation of scientists and engineers. The primary advantage of a tomographic particle image velocimetry system is the ability to simultaneously resolve both the velocity vector and the velocity gradient tensor over all three coordinate directions within a volume. This capability will significantly advance research efforts at Clarkson University in the following specific areas: (1) aero-acoustic sound source identification and fluid-structure interactions in voiced speech production to identify how pathological behaviors impact vocal function, (2) quantification of flow morphologies in rivers arising from ice and debris obstructions with application to mitigating damage arising from flooding events, (3) enhancing ecological function in urban streams through quantification of the physical, biological, and ecologically-relevant sediment transport processes, (4) control of dynamic stall on airfoils to enhance aircraft performance, (5) quantification of multiphase flows through geological fractures to optimize carbon sequestration, (6) drag minimization of juncture flows with application to increasing fuel efficiency in large vehicle transport, and (7) development of a novel technique for estimating pressure fields from experimental velocity fields. It is anticipated that implementing a strategy whereby a percentage of the instrument availability is dedicated to new users, at no cost, will catalyze additional new and exciting cross-disciplinary research efforts across campus.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.