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  4. Comparison of different approaches tracking a wing-tip vortex
 
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Comparison of different approaches tracking a wing-tip vortex

Citation Link: https://doi.org/10.15480/882.1743
Publikationstyp
Journal Article
Date Issued
2018-01-01
Sprache
English
Author(s)
Feder, Dag-Frederik 
Dhone, Mahesh  
Kornev, Nikolai  
Abdel-Maksoud Gomaa, Moustafa  orcid-logo
Institut
Fluiddynamik und Schiffstheorie M-8  
TORE-DOI
10.15480/882.1743
TORE-URI
http://tubdok.tub.tuhh.de/handle/11420/1746
Journal
Ocean engineering  
Volume
147
Start Page
659
End Page
675
Citation
Ocean Engineering (147): 659-675 (2018-01-01)
Publisher DOI
10.1016/j.oceaneng.2017.09.036
Scopus ID
2-s2.0-85032217692
Publisher
Elsevier
This paper compares the performance of different grid based and grid free modelling approaches to predict the tip vortex evolution in both near and far wing wake fields. The grid based methods cover different turbulence modelling approaches, adaptive mesh refinement and the adaptive vorticity confinement (VC) method using the OpenFOAM code. Computational vortex method (CVM) coupled with the OpenFOAM simulation of the near field is utilised to properly predict the tip vortex behaviour in the far field. All simulation results are compared to results of the wind tunnel experiments conducted by Devenport et al. (1996). The comparison is based on the analysis of the vortex core parameters: the core size, the peak tangential velocity and the axial velocity deficit. Additionally, the results are compared with another numerical study by Wells (2009, 2010). It turns out that
turbulence modelling plays an important role since simple one and two-equation models overpredict the turbulence intensity in the vortex core resulting in its fast decay. The potential of the adaptive VC method depends on the underlying turbulence model. Grid free vortex method shows a good potential to improve the simulation accuracy.
Subjects
Tip vortex
Grid free vortex method
Turbulence modelling
Adaptive mesh refinement
Adaptive vorticity confinement
DDC Class
620: Ingenieurwissenschaften
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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