MRI: Development of an Intensified KHz Rate Plenoptic Camera System for 3D Flow Diagnostics
MRI: Development of an Intensified KHz Rate Plenoptic Camera System for 3D Flow Diagnostics
批准号:
1725929
负责人:
Brian Thurow
金额:
$110.53万
依托单位:
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
项目状态:
已结题
起止时间:
2017-09-15 至 2022-08-31
中文摘要
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英文摘要
From blood flow through artificial heart valves to mixing and combustion of fuel and air in a modern jet engine, many flows are both unsteady and three-dimensional. Modern diagnostics used to study, test and evaluate these flow fields, however, are slow and two-dimensional or, in the case of multi-camera 3D diagnostics, expensive and complex. In this project, the research team will develop a new imaging system capable of making high-speed 3D measurements in practical flow fields using only a single camera. The developed system will be significantly cheaper, more compact, and easier to set up than complex multi-camera systems, thus providing researchers around the world with an accessible and affordable tool to make high-speed 3D flow measurements. This imaging system will be used to understand cardio- and cerebro-vascular flows, advance high speed vehicle design research, and improve combustion efficiency in engines and combustion systems for power generation. In addition, the technology developed here will be openly shared with the broader research community to ensure access for students and researchers across the U.S. government agencies and industries. Such wide distribution ensures that the developed system impacts the widest possible range of applications involving unsteady, 3D fluid flows.The basis for this diagnostic is an intensified plenoptic imaging system capable of measuring 3D scalar and velocity fields at framing rates in excess of 1,000 frames per second. The system consists of three essential elements: (1) a kHz rate intensified plenoptic camera and illumination source optimized for 3D flow measurements; (2) image reconstruction and velocity estimation algorithms to render volumetric images and estimate velocity fields; and (3) a computing platform that processes the data in an acceptable time frame. The development of this system will enable time-resolved, 3D flow measurements, including particle image velocimetry, chemiluminiscence imaging, laser induced fluorescence, and background oriented Schlieren imaging. The proposed instrument is based on a low frame-rate prototype built by investigators at Auburn University that has been demonstrated as a simple, compact, robust and effective 3D imaging system. The modularity of the system will allow the system to be optimized for different facilities and techniques, including stereo-plenoptic diagnostics with the potential to dramatically improve spatial resolution of volumetric measurements.
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DOI:
10.1088/1361-6501/ab614f
发表时间:
2020-01
期刊:
Measurement Science and Technology
影响因子:
2.4
作者:
[Z. Tan;B. Thurow]
通讯作者:
Z. Tan;B. Thurow
DOI:
10.1088/1361-6501/ac026e
发表时间:
2021
期刊:
Measurement Science and Technology
影响因子:
2.4
作者:
[Z. Tan;B. Thurow]
通讯作者:
Z. Tan;B. Thurow
DOI:
10.1016/j.addlet.2022.100083
发表时间:
2022-08
期刊:
Additive Manufacturing Letters
影响因子:
--
作者:
[R. Fischer;M. Moaven;D. Kelly;S. Morris;B. Thurow;B. Prorok]
通讯作者:
R. Fischer;M. Moaven;D. Kelly;S. Morris;B. Thurow;B. Prorok
DOI:
10.18409/ispiv.v1i1.151
发表时间:
2021
期刊:
14th International Symposium on Particle Image Velocimetry
影响因子:
--
作者:
[Sapkota, Bibek, Kelly, Dustin, Tan, Zu Puayen, Thurow, Brian S.]
通讯作者:
Thurow, Brian S.
DOI:
10.1007/s00348-020-03021-6
发表时间:
2020-08-18
期刊:
EXPERIMENTS IN FLUIDS
影响因子:
2.4
作者:
[Bhattacharya, Sayantan, Vlachos, Pavlos P.]
通讯作者:
Vlachos, Pavlos P.
Collaborative Research: Modifications of turbulent boundary layer structure by wall permeability and surface-subsurface interactions: an innovative experimental approach
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批准号:1235726
-
项目类别:Standard Grant
-
资助金额:$18.62万
-
财政年份:2012
-
负责人:Brian Thurow
-
依托单位:
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
-
批准年份:2020
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负责人:汪泉
-
依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: