GEOMETRIC SENSITIVITY OF THREE-DIMENSIONAL SEPARATED FLOWS

三维分离流的几何敏感性

• 批准号: 7722891
• 负责人: Erica Cherry
• 金额: $ 0.28万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7722891
• 关键词: Air; Computer Retrieval of Information on Scientific Projects Database; Condition; Coupled; Data; Data Set; Funding; Grant; Institution; Location; Modeling; Numbers; Pump; Research; Research Personnel; Resources; Source; System; United States National Institutes of Health; design; pressure; programs; research study; simulation

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Flows including strong adverse pressure gradient and boundary layer separation from a smooth wall (as opposed to separation fixed at a geometric discontinuity) are among the most challenging high-Reynolds number flows to model. Accurate prediction of the separation point puts great demands on turbulence models, and small errors in separation location can produce large errors in the overall velocity and pressure distribution. The end result is that CFD has not yet made significant inroads into the design of systems like highly loaded pumps and air/hydrofoils operating at far-off-design conditions. The objective of this research is to provide a detailed data set for a three-dimensional, closed separation bubble formed on a smooth wall in a geometrically-simple diffuser geometry. In addition, the experimental program is coupled to a modeling effort. By doing the experiments and simulations in parallel, we can assure that the most detailed data are supplied in the flow regions causing the most difficulties for simulations.

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 包括强逆压梯度和与光滑壁的边界层分离（而不是固定在几何不连续处的分离）的流动是建模中最具挑战性的高雷诺数流动之一。 分离点的准确预测对湍流模型提出了很高的要求，分离位置的微小误差可能会导致整体速度和压力分布产生较大的误差。 最终结果是，CFD 尚未在高负载泵和在远离设计条件下运行的空气/水翼等系统的设计方面取得重大进展。本研究的目的是为在几何简单的扩散器几何形状的光滑壁上形成的三维封闭分离气泡提供详细的数据集。 此外，实验程序与建模工作相结合。 通过并行进行实验和模拟，我们可以确保在导致模拟最困难的流动区域提供最详细的数据。