Image intensifier unit for PIV system
Image intensifier unit for PIV system
批准号:
345143-2007
负责人:
Tachie, MarkFrancis
金额:
$5.21万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments - Category 1 (<$150,000)
财政年份:
2006
资助国家:
加拿大
项目状态:
已结题
起止时间:
2006-01-01 至 2007-12-31
中文摘要
绝大多数对环境和工程有重要意义的水流都是湍流。许多流体工程系统具有粗糙的表面,并且流动可能会受到流向压力梯度的影响。由于这些流动的复杂性,其结构特征还不很清楚。本提案的目的是获得资金,以购置一台图像增强器。该设备将与现有的高分辨率粒子图像测速(PIV)系统一起使用,对各种复杂的近壁湍流进行前沿研究。本研究将探讨粗糙表面上的压力梯度紊流、紊流附壁射流及粗糙表面上的浅紊流尾迹。PIV数据将用于识别这些流动中的相干或涡流结构,并阐明这些结构如何影响流动和混合特性的传输。这些数据还将使申请人能够获得平均速度、雷诺应力、三重相关性以及湍流动能和雷诺应力输运方程中的预算项的准确测量值。该研究将推进具有工程重要性的复杂湍流的知识状态。物理理解和高质量的数据集将是有价值的湍流社区在开发和验证更准确的湍流模型,设计更有效的污水排放系统,并提高流体工程系统的效率。这项研究还将为培养高素质的人才提供机会。这将通过减少车辆排放和加强水体中废水的稀释和混合,在为制造商节省成本和更安全的环境方面为社会带来巨大和持续的改善。
英文摘要
The vast majority of flows of environmental and engineering importance are turbulent. Many fluid engineering systems have rough surfaces, and the flow may be subjected to streamwise pressure gradients. Because of the complex nature of these flows, their structural characteristics are not well understood. The objective of this proposal is to obtain funds to acquire an image intensifier unit. The equipment will be used together with an existing high resolution particle image velocimetry (PIV) system to conduct cutting-edge research on a variety of complex near-wall turbulent flows. The research will conduct investigation of pressure gradient turbulent flows over rough surfaces, turbulent wall jets and shallow turbulent wakes over rough surfaces. The PIV data will be used to identify coherent or eddy structures within these flows, and to elucidate how these structures affects the transport of flow and mixing characteristics. The data will also enable the applicant to obtain accurate measurement of the mean velocities, Reynolds stresses, triple correlations and the budget terms in the transport equation for turbulent kinetic energy and Reynolds stresses. The proposed research will advance state of knowledge of complex turbulent flows of engineering importance. The physical understanding and high quality data sets will be valuable to the turbulence community in developing and validating more accurate turbulence models, to design more efficient effluent discharge systems, and to improve efficiency of fluid engineering systems. The research will also provide an opportunity to train high quality personnel. These will lead to dramatic and sustained improvements to society in terms of cost savings to manufacturers and safer environment through reduced vehicle emissions and enhanced dilution and mixing of wastewater in water bodies.
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会议论文
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Roughness Effects on Complex Near-wall Turbulent Flows
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.89万
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依托单位:
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资助金额:$1.89万
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