Design and Analysis of a Spin Stabilized Projectile Using Magnetic Resonance Velocimetry

2019 ◽  
Author(s):  
Noah W. Siegel ◽  
Aaron P. Schlenker ◽  
Kevin D. Sullivan ◽  
Isaiah Valdez ◽  
Gregory P. Rodebaugh ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Velocimetry

Parametric effects on the flow redistribution in ballooned bundles evaluated by magnetic resonance velocimetry

2021 ◽  
Vol 125 ◽  
pp. 110383
Author(s):  
A.V.S. Oliveira ◽  
D. Stemmelen ◽  
S. Leclerc ◽  
T. Glantz ◽  
A. Labergue ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Velocimetry ◽  
Parametric Effects

A Combined CFD/MRV Study of Flow Through a Pin Bank

2014 ◽  
Author(s):  
Mike Siekman ◽  
David Helmer ◽  
Wontae Hwang ◽  
Gregory Laskowski ◽  
Ek Tsoon Tan ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Velocity Field ◽  
Turbulence Model ◽  
Field Data ◽  
Peak Velocity ◽  
Velocity Profiles ◽  
Mean Velocity ◽  
Magnetic Resonance Velocimetry ◽  
Sst Turbulence Model ◽  
Flow Through

RANS and time averaged URANS simulations of a pin bank are compared quantitatively and qualitatively to full 3D mean velocity field data obtained using magnetic resonance velocimetry (MRV). The ability of the CFD to match MRV velocity profiles through the pin bank is evaluated using the SST turbulence model. Quantitative comparisons of the velocity profiles showed an overprediction of peak velocity by the CFD at the first pin rows, and a smaller oscillatory error that diminishes as it moves through the pins, resulting in better matching towards the exit.

Comparison and validation of various turbulence models for U-bend flow with a magnetic resonance velocimetry experiment

2021 ◽  
Vol 33 (12) ◽  
pp. 125117
Author(s):  
Yong Han ◽  
Ling Zhou ◽  
Ling Bai ◽  
Weidong Shi ◽  
Ramesh Agarwal
Keyword(s):  
Magnetic Resonance ◽  
Turbulence Models ◽  
Magnetic Resonance Velocimetry ◽  
Bend Flow

scholarly journals Velocity field and flow redistribution in a ballooned 7×7 fuel bundle measured by magnetic resonance velocimetry

2020 ◽  
Vol 369 ◽  
pp. 110828
Author(s):  
A.V.S. Oliveira ◽  
D. Stemmelen ◽  
S. Leclerc ◽  
T. Glantz ◽  
A. Labergue ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Velocity Field ◽  
Magnetic Resonance Velocimetry ◽  
Fuel Bundle

Hemodynamic Comparison of Differing Anastomotic Geometries Using Magnetic Resonance Velocimetry

2011 ◽  
Vol 169 (2) ◽  
pp. 311-318 ◽  
Author(s):  
Richard F. Neville ◽  
Chris J. Elkins ◽  
Marcus T. Alley ◽  
Ryan B. Wicker
Keyword(s):  
Magnetic Resonance ◽  
Magnetic Resonance Velocimetry

Film-Cooled Trailing Edge Measurements: 3D Velocity and Scalar Field

2011 ◽  
Author(s):  
Michael Benson ◽  
Gregory Laskowski ◽  
Chris Elkins ◽  
John K. Eaton
Keyword(s):  
Magnetic Resonance ◽  
Film Cooling ◽  
Turbulent Regime ◽  
Velocity Measurements ◽  
Trailing Edge ◽  
Mean Velocity ◽  
Cooling Effectiveness ◽  
Film Cooling Effectiveness ◽  
Longitudinal Vortices ◽  
Magnetic Resonance Velocimetry

Aircraft turbine blade trailing edges commonly are cooled by blowing air through pressure-side cutback slots. The surface effectiveness is governed by the rate of mixing of the coolant with the mainstream, which is typically much faster than predicted by CFD models. 3D velocity and coolant concentration fields were measured in and around a cutback slot using a simple uncambered airfoil with a realistic trailing edge cooling geometry at a Reynolds number of 110,000 based on airfoil chord length, which is lower than practical engines but still in the turbulent regime. The results were obtained using magnetic resonance imaging (MRI) techniques in a water flow apparatus. Magnetic resonance concentration (MRC) scans measured the concentration distribution with a spatial resolution of 0.5 mm3 (compared to a slot height of 5 mm) and an uncertainty near 5%. Magnetic resonance velocimetry (MRV) was used to acquire 3D, three-component mean velocity measurements with a resolution of 1.0 mm3. Coupled concentration and velocity measurements were used to identify flow structures contributing to the rapid mixing, including longitudinal vortices and separation bubbles. Velocity measurements at several locations were compared with an unsteady RANS model. Concentration measurements extrapolated to the surface provided film cooling effectiveness and showed that the longitudinal vortices decreased effectiveness near the lands and reduced the average film cooling effectiveness.

Estimation of the measurement uncertainty in magnetic resonance velocimetry based on statistical models

2016 ◽  
Vol 57 (5) ◽  
Author(s):  
Martin Bruschewski ◽  
Daniel Freudenhammer ◽  
Waltraud B. Buchenberg ◽  
Heinz-Peter Schiffer ◽  
Sven Grundmann
Keyword(s):  
Magnetic Resonance ◽  
Measurement Uncertainty ◽  
Statistical Models ◽  
Magnetic Resonance Velocimetry

scholarly journals Magnetic Resonance Velocimetry Measurement of Viscous Flows through Porous Media: Comparison with Simulation and Voxel Size Study

Physics ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 1254-1267
Author(s):  
Martin Bruschewski ◽  
Sam Flint ◽  
Sid Becker
Keyword(s):  
Porous Media ◽  
Magnetic Resonance ◽  
Measurement Uncertainty ◽  
Pore Size ◽  
Velocity Data ◽  
Voxel Size ◽  
3 Dimensional ◽  
Magnetic Resonance Velocimetry ◽  
Flows Through Porous Media ◽  
Good Agreement

Studies that use magnetic resonance velocimetry (MRV) to assess flows through porous media require a sufficiently small voxel size to determine the velocity field at a sub-pore scale. The smaller the voxel size, the less information is lost through the discretization. However, the measurement uncertainty and the measurement time are increased. Knowing the relationship between voxel size and measurement accuracy would help researchers select a voxel size that is not too small in order to avoid unnecessary measurement effort. This study presents a systematic parameter study with a low-Reynolds-number flow of a glycerol–water mixture sent through a regularly periodic porous matrix with a pore size of 5 mm. The matrix was a 3-dimensional polymer print, and velocity-encoded MRV measurements were made at 15 different voxel sizes between 0.42 mm and 4.48 mm. The baseline accuracy of the MRV velocity data was examined through a comparison with a computational fluid dynamics (CFD) simulation. The experiment and simulation show very good agreement, indicating a low measurement error. Starting from the smallest examined voxel size, the influence of the voxel size on the accuracy of the velocity data was then examined. This experiment enables us to conclude that a voxel size of 0.96 mm, which corresponds to 20% of the pore size, is sufficient. The volume-averaged results do not change below a voxel size of 20% of the pore size, whereas systematic deviations occur with larger voxels. The same trend is observed with the local velocity data. The streamlines calculated from the MRV velocity data are not influenced by the voxel size for voxels of up to 20% of the pore size, and even slightly larger voxels still show good agreement. In summary, this study shows that even with a relatively low measurement resolution, quantitative 3-dimensional velocity fields can be obtained through porous flow systems with short measurement times and low measurement uncertainty.

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