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

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.

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

Numerical Simulation of Sand Erosion Phenomena in Square-Section 90 Degree Bend With Linear/Nonlinear RANS Turbulence Models

2007 ◽  
Author(s):  
Masaya Suzuki ◽  
Kazuaki Inaba ◽  
Makoto Yamamoto
Keyword(s):  
Flow Field ◽  
Secondary Flow ◽  
Turbulence Models ◽  
Solid Particles ◽  
Two Phase ◽  
Streamline Curvature ◽  
Sand Erosion ◽  
Rans Turbulence Models ◽  
Wall Deformation ◽  
Bend Flow

Sand erosion is a phenomenon where solid particles impinging to a wall cause serious mechanical damages to the wall surface. This phenomenon is a typical gas-particle two-phase turbulent flow and a multi-physics problem where the flow field, particle trajectory and wall deformation interact with among others. On the other hand, the sand erosion is a serious problem to install pneumatic conveying systems for handling abrasive materials. Incidentally, the bend erosion is typical target of sand erosion experiments and is useful for verification of numerical simulations. Although, the secondary flow which occurs in such a flow field including streamline curvature cannot be reproduced by the standard k-ε model. To predict this flow field, a more universal model which can estimate anisotropic Reynolds stress is required. In the present study, we simulate sand erosion of 90 degree bend with a square cross-section. We use some linear/nonlinear turbulence models to predict the secondary flow of the bend. Besides, the performance of each model to predict clear/eroded bend flow field is studied.

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

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
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