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MRI-R2: Acquisition of Endoscopic Particle Image Velocimetry System and Multiprocessor Computer for Fluid Mechanics Research

MRI-R2: Acquisition of Endoscopic Particle Image Velocimetry System and Multiprocessor Computer for Fluid Mechanics Research
MRI-R2:采集内窥镜粒子图像测速系统和多处理器计算机用于流体力学研究
批准号:
0959915
负责人:
David Wootton
金额:
$15.28万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-02-01 至 2013-01-31

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0959915Wootton"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)."An endoscopic particle image velocimetry (PIV) system and multiprocessor computer will be acquired for mechanical and biomedical engineering fluid mechanics research and projects at the Cooper Union. The PIV system is designed for visualizing and measuring two-dimensional velocity and turbulence fields in steady and unsteady flows of gas or liquid, at sample rates up to 15 fields per second, in internal flow devices with restricted optical access. Conventional light sheet optics will be acquired for use in wind tunnels and other optically accessible experiments. The multiprocessor computer is a custom 16-core workstation with 64 GB of RAM, designed for large computational fluid dynamics model simulations. These powerful tools will be used to train masters and undergraduate students in fluid mechanics research using both experimental and computational methods, in a variety of projects, including fluid mechanics of rigid and deformable models of the upper airway in obstructive sleep apnea, fluid mechanics of chronic cyclic hypoxia research equipment, improved in-cylinder flow characteristics in homogeneous charge compression ignition engines to reduce hydrocarbon emissions, and a variety of undergraduate automotive and wind tunnel projects. Undergraduate students will be exposed to PIV in required fluid mechanics and lab courses, and will be able to receive training and apply PIV to research and design projects. Students taking computational fluid dynamics courses will be introduced to parallel processing and have the opportunity to use the multiprocessor workstation during course projects as well as research projects.
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