MRI: Acquisition of a Tomographic Particle Image Velocimetry System

MRI：断层粒子图像测速系统的采集

• 批准号: 1919825
• 负责人: Byron Erath
• 金额: $ 28.84万
• 依托单位: Clarkson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-15 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1919825&HistoricalAwards=false
• 关键词: MRI; Acquisition; Tomographic; Particle; Image

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.

随着主要研究仪器奖，克拉克森大学将获得层析粒子图像测速系统。 获得该仪器将有助于推动科学研究在各种各样的主题，如人类的声音产生，水文学中沉积物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。 确保在整个克拉克森大学校园内广泛和公平地使用该系统将使克拉克森处于流体动力学研究能力的最前沿，并鼓励和促进新颖的跨学科研究工作。 该仪器的可用性将通过实验技术的课堂教学以及系统实际使用的实验室实践培训，为本科生和研究生提供教育机会。 克拉克森大学为大量在STEM领域代表性不足的学生提供服务，这些学生来自较低的社会经济背景。 接触和利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解决速度矢量和速度梯度张量在所有三个坐标方向内的体积。这种能力将大大推进克拉克森大学在以下具体领域的研究工作：（1）有声语音产生中的空气声学声源识别和流体-结构相互作用，以识别病理行为如何影响发声功能，（2）量化由冰和碎片障碍物引起的河流中的流动形态，并应用于减轻洪水造成的损害事件，（3）通过量化物理、生物和生态相关的沉积物输运过程来增强城市河流的生态功能，（4）控制翼型上的动态失速以增强飞机性能，（5）量化通过地质裂缝的多相流以优化碳封存，（6）应用于提高大型车辆运输燃油效率的接合点流的阻力最小化;（7）发展一种新技术，从实验速度场估算压力场。预计实施一项战略，即一定比例的仪器可用性是专门为新用户，在没有成本，将催化额外的新的和令人兴奋的跨学科的研究工作在campus.This奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的智力价值和更广泛的影响审查标准。