Numerical Investigation of Fluid Flow and Performance Prediction in a Fluid Coupling Using Large Eddy Simulation

Large eddy simulation (LES) with various subgrid-scale (SGS) models was introduced to numerically calculate the transient flow of the hydraulic coupling. By using LES, the study aimed to advance description ability of internal flow and performance prediction. The CFD results were verified by experim...

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Bibliographic Details
Published in:International Journal of Rotating Machinery 2017-01, Vol.2017 (2017), p.1-11-017
Main Authors: Liu, Chunbao, Li, Xingzhong, Li, Yuan, Cai, Wei
Format: Article
Language:English
Subjects:
Braking
Computational fluid dynamics
Coupling
Eddy viscosity
Engineering
Fluid flow
Fluids
Heat transfer
Hydraulics
Internal flow
Large eddy simulation
Mathematical models
Mathematical problems
Numerical analysis
Performance prediction
Scale models
Simulation
Turbines
Turbulence models
Unsteady flow
Vortices
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Summary:Large eddy simulation (LES) with various subgrid-scale (SGS) models was introduced to numerically calculate the transient flow of the hydraulic coupling. By using LES, the study aimed to advance description ability of internal flow and performance prediction. The CFD results were verified by experimental data. For the purpose of the description of the flow field, six subgrid-scale models for LES were employed to depict the flow field; the distribution structure of flow field was legible. Moreover, the flow mechanism was analyzed using 3D vortex structures, and those showed that DSL and KET captured abundant vortex structures and provided a relatively moderate eddy viscosity in the chamber. The predicted values of the braking torque for hydraulic coupling were compared with experimental data. The comparison results were compared with several simulation models, such as SAS and RKE, and SSTKW models. Those comparison results showed that the SGS models, especially DSL and KET, were applicable to obtain the more accurate predicted results than SAS and RKE, and SSTKW models. Clearly, the predicted results of LES with DSL and KET were far more accurate than the previous studies. The performance prediction was significantly improved.
ISSN:1023-621X
1542-3034
DOI:10.1155/2017/3718671