Comparison of different approaches tracking a wing-tip vortex

Feder, Dag-Frederik; Dhone, Mahesh; Kornev, Nikolaĭ; Abdel‐Maksoud, Moustafa

doi:10.1016/j.oceaneng.2017.09.036

Cited by 13 publications

(1 citation statement)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hybrid RANS/LES models offer a compromise between accuracy and computational cost, and have been shown to provide good predictions of the blade tip vortex. Overall, the results show that the choice of turbulence model can significantly affect the accuracy of the prediction [12].…”

Section: Introductionmentioning

confidence: 94%

Influence of different turbulence models on tip vortex prediction

Fang,

Li,

Tao

et al. 2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Tip vortex cavitation usually occurs in marine propellers and axial-flow turbines, the cavitation in the tip vortex could potentially result in blade erosion, at the same time, it will cause the pump vibration and noise emission. The tip vortex mainly occurs in rotating machinery with complex three-dimensional flow, but the prediction of the hydrofoil tip vortex can provide a basis for the study of the blade tip vortex in rotating machinery by simplifying the blade model. Hence, in this paper, we use the commercial software CFX to investigate the impact of distinct turbulence models on the configuration of tip vortex distribution in the NACA 16-020 hydrofoil, including SST (Shear Stress Transport), DES (Detached Eddy Simulation), LES (Large Eddy Simulation) turbulence models which are widely used in the field of rotating machinery. At the same time, the axial and radial velocity distributions at different locations downstream of the tip of the hydrofoil are compared to analyse the effects on the velocity distribution near the vortex core line stemming from various turbulence models. By comparing with the experimental data, the most accurate turbulence model for tip vortex prediction is obtained, which will provide guidance for the next step tip vortex prediction and the control of tip vortex flow.

show abstract

Section: Introductionmentioning

confidence: 94%