Quantification of turbulence properties in bubble plumes using vortex identification methods

2009 ◽  
Vol 21 (7) ◽  
pp. 075101 ◽  
Author(s):  
D. B. Bryant ◽  
D.-G. Seol ◽  
S. A. Socolofsky
Keyword(s):  
Vortex Identification ◽  
Identification Methods ◽  
Bubble Plumes

scholarly journals Correction to: Stretching and shearing contamination analysis for Liutex and other vortex identification methods

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Pushpa Shrestha ◽  
Charles Nottage ◽  
Yifei Yu ◽  
Oscar Alvarez ◽  
Chaoqun Liu
Keyword(s):  
Vortex Identification ◽  
Identification Methods

On the relationships between different vortex identification methods based on local trace criterion

2021 ◽  
Vol 33 (10) ◽  
pp. 105116
Author(s):  
Yangwei Liu ◽  
Weibo Zhong ◽  
Yumeng Tang
Keyword(s):  
Vortex Identification ◽  
Identification Methods

Third generation of vortex identification methods: Omega and Liutex/Rortex based systems

2019 ◽  
Vol 31 (2) ◽  
pp. 205-223 ◽  
Author(s):  
Chaoqun Liu ◽  
Yi-sheng Gao ◽  
Xiang-rui Dong ◽  
Yi-qian Wang ◽  
Jian-ming Liu ◽  
...  
Keyword(s):  
Third Generation ◽  
Vortex Identification ◽  
Identification Methods

Vortex identification methods in marine hydrodynamics

2020 ◽  
Vol 32 (2) ◽  
pp. 286-295 ◽  
Author(s):  
Wei-wen Zhao ◽  
Jian-hua Wang ◽  
De-cheng Wan
Keyword(s):  
Vortex Identification ◽  
Identification Methods ◽  
Marine Hydrodynamics

scholarly journals Erratum: “A Tomographic PIV Study and Comparison of Vortex Identification Methods on NACA 63-215 Hydrofoil Wake Structure” [ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, Volume 4: Fluid Measurement and Instrumentation; Micro and Nano Fluid Dynamics, San Francisco, California, USA, July 28–August 1, 2019, Conference Sponsors: Fluids Engineering Division, ISBN: 978-0-7918-5907-0, Copyright © 2019 by ASME. Paper No. AJKFluids2019-5550, pp. V004T04A014; 12 pages; doi: 10.1115/AJKFluids2019-5550]

2019 ◽  
Author(s):  
Reza M. Ziazi ◽  
Navid Goudarzi
Keyword(s):  
Fluid Dynamics ◽  
San Francisco ◽  
Vortex Identification ◽  
Wake Structure ◽  
Identification Methods ◽  
Tomographic Piv ◽  
Nano Fluid ◽  
Engineering Conference ◽  
Asme Paper

Abstract This erratum corrects errors that appeared in the paper “A Tomographic PIV Study and Comparison of Vortex Identification Methods on NACA 63-215 Hydrofoil Wake Structure” which was published in Proceedings of the ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference, Volume 4: Fluid Measurement and Instrumentation; Micro and Nano Fluid Dynamics, (V004T04A014), July–August 2019, AJKFluids2019-5550, doi: 10.1115/AJKFluids2019-5550.

LES investigation on vortex dynamics of transient sheet/cloud cavitating flow using different vortex identification methods

2020 ◽  
pp. 2150111
Author(s):  
Shuheng Qu ◽  
Jinping Li ◽  
Huaiyu Cheng ◽  
Bin Ji
Keyword(s):  
Vortex Dynamics ◽  
Cavitating Flow ◽  
Vortex Identification ◽  
Cavitation Model ◽  
Identification Methods ◽  
Vortex Interactions ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Lift And Drag ◽  
Criterion Method

The sheet/cloud cavitating flow always contains complex multiscale vortex structures generated by the cavity cloud shedding and collapsing. In this study, the transient sheet/cloud cavitating flow around a Clark-Y hydrofoil is numerically investigated using the Large Eddy Simulation (LES) method coupled with the Zwart–Gerber–Belamri (ZGB) cavitation model. The simulation accurately reproduces the unsteady cavitation evolution process, and the predicted time-averaged lift and drag coefficients, total vapor volume variation and velocity distribution agree fairly well with the experimental measurements. The cavitation vortex dynamics are studied in detail with different vortex identification methods including the vorticity method, the [Formula: see text]-criterion method, the [Formula: see text] method, the [Formula: see text] method and the Liutex method. The vortex identification ability of the different methods in the transient sheet/cloud cavitating flow is also discussed. Generally, the Liutex method combines the advantages of the other methods and can accurately identify both the vortex position and strength. Further analysis of cavitation-vortex interactions demonstrates that the cavity cloud shedding and collapsing have a pronounced influence on the vortex structure.

scholarly journals Investigation of the Flow Field of a Ship in Planar Motion Mechanism Tests by the Vortex Identification Method

2020 ◽  
Vol 8 (9) ◽  
pp. 649
Author(s):  
Zhen Ren ◽  
Jianhua Wang ◽  
Decheng Wan
Keyword(s):  
Flow Field ◽  
Viscous Flow ◽  
Vortex Structures ◽  
Third Generation ◽  
Vortex Identification ◽  
Motion Mechanism ◽  
Identification Methods ◽  
The Third ◽  
Planar Motion Mechanism ◽  
Viscous Flow Field

Planar motion mechanism (PMM) tests provide a means of obtaining the hydrodynamic derivatives needed to assess ship maneuverability properties. In this paper, the self-developed computational fluid dynamic (CFD) solver based on the open source code platform OpenFOAM, naoe-FOAM-SJTU, associated with the overset grid method is used to simulate the complex viscous flow field of PMM tests for a benchmark model Yupeng Ship. This paper discusses the effect of several parameters such as the drift angle and period on the hydrodynamic performance of the ship and compares the time histories of the predicted forces and moments with experimental data. To investigate the complex viscous flows with a large separation, four vortex identification methods are used to capture the vortex structures. The results show that the forces and moments are in good agreement in static drift and dynamic tests. By comparing the vortex structures, it is found that the third generation vortex identification methods, OmegaR and Liutex, are able to more accurately capture the vortex structures. The paper concludes that the present numerical scheme is reliable and the third generation vortex identification methods are more suitable for displaying the vortex structures in a complex viscous flow field.

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