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.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR009784-16
Application #
8169841
Study Section
Special Emphasis Panel (ZRG1-SBIB-U (40))
Project Start
2010-07-01
Project End
2011-03-31
Budget Start
2010-07-01
Budget End
2011-03-31
Support Year
16
Fiscal Year
2010
Total Cost
$18,500
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Maclaren, Julian; Aksoy, Murat; Ooi, Melvyn B et al. (2018) Prospective motion correction using coil-mounted cameras: Cross-calibration considerations. Magn Reson Med 79:1911-1921
Guo, Jia; Holdsworth, Samantha J; Fan, Audrey P et al. (2018) Comparing accuracy and reproducibility of sequential and Hadamard-encoded multidelay pseudocontinuous arterial spin labeling for measuring cerebral blood flow and arterial transit time in healthy subjects: A simulation and in vivo study. J Magn Reson Imaging 47:1119-1132
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Kogan, Feliks; Hargreaves, Brian A; Gold, Garry E (2017) Volumetric multislice gagCEST imaging of articular cartilage: Optimization and comparison with T1rho. Magn Reson Med 77:1134-1141
Aksoy, Murat; Maclaren, Julian; Bammer, Roland (2017) Prospective motion correction for 3D pseudo-continuous arterial spin labeling using an external optical tracking system. Magn Reson Imaging 39:44-52
Suh, Ga-Young; Choi, Gilwoo; Herfkens, Robert J et al. (2016) Three-Dimensional Modeling Analysis of Visceral Arteries and Kidneys during Respiration. Ann Vasc Surg 34:250-60
Ong, Frank; Lustig, Michael (2016) Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. IEEE J Sel Top Signal Process 10:672-687

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