Weimin Wu, Chuande Zhou^*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.5, pp. 883-901, 2020, DOI:10.32604/fdmp.2020.010407

Abstract The behavior of the tip wake of a wind turbine is one of the hot issues in the wind power field. This problem can partially be tackled using Computational Fluid Dynamics (CFD). However, this approach lacks the ability to provide insights into the spatial structure of important high-order flows. Therefore, with the horizontal axis wind turbine as the main focus, in this work, firstly, we conduct CFD simulations of the wind turbine in order to obtain a data-driven basis relating to multiple working conditions for further analysis. Then, these data are studied using an extended More >

Hyun Ki¹, Jongwook Choi², Sungcho Kim²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.4, pp. 69-70, 2009, DOI:10.3970/icces.2009.013.069

Abstract The wake behind rotor blade is investigated by numerical and experimental approaches. Flow structure measured through PIV is compared with numerical analysis using commercial program of ANSYS CFX adopting the RNG k-ε turbulence model. Blade model fabricated by Rapid-Prototype method has the cross section of NACA0012 airfoil and the pitch angle of 10°. The rectangular blade of which rotating diameter (D) and chord length are 0.12 m and 0.024 m respectively rotates at 240 rpm. Horizontal and vertical directions of the blade are selected as x and z coordinates, respectively, the origin locates at the rotating… More >

Sung-Eun Kim¹, Shin Hyung Rhee²

CMES-Computer Modeling in Engineering & Sciences, Vol.62, No.3, pp. 291-310, 2010, DOI:10.3970/cmes.2010.062.291

Abstract Turbulent flow past a finite wing has been computed to assess the fidelity of modern computational fluid dynamics in predicting tip vortex flows. The efficacy of a feature-adaptive local mesh refinement to resolve the steep gradients in the flow field near the tip vortex is demonstrated. The impact of turbulence modeling is evaluated using several popular eddy viscosity models and a Reynolds stress transport model. The results indicate that the combination of a computational mesh with an adequate resolution, high-order spatial discretization scheme along with the use of advanced turbulence models can predict tip vortex More >