Turbulence modeling of deep dynamic stall at relatively low Reynolds number

Wang, Shengyi; Ingham, D.B.; Ma, Lin; Pourkashanian, Mohamed; Tao, Zhi

doi:10.1016/j.jfluidstructs.2012.04.011

Cited by 165 publications

(111 citation statements)

References 25 publications

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“…From about 18.8º to 21º, the SST k-ω model predicted a sudden increase in the slope of the C L curve. This is similar to the simulation results by other researchers [29,38,39]; however this does not take place in reality for the S809 airfoil as the measurements indicate. The second rise in the lift coefficient after stall is due to the high-vorticity secondary LEV , which grows rapidly and creates a second peak in the lift curve [38].…”

Section: Pitching Motionsupporting

confidence: 91%

“…The appearance of the second lift peak was successfully predicted but with a much lower magnitude than the measurements. During the downstroke, the proposed CFD model still fared quite well, although for dynamic stall occurring in deep stall regime, an accurate prediction of the downstroke flow usually cannot be warranted [39]. As in the case of the CFD simulation for the stall development regime, the drag coefficient was successfully predicted at low AOA, but at high AOA during the upstroke, it was over-predicted.…”

Section: Pitching Motionmentioning

confidence: 90%

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Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

et al. 2017

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The blades of a large Horizontal Axis Wind Turbine (HAWT) are subjected to significant vibrations during operation. The vibrations affect the dynamic flow field around the blade and consequently alter the aerodynamic forces on the blade. In order to better understand the influence of blade vibrations on the aerodynamic loads, the dynamic stall characteristics of an S809 airfoil undergoing translational motion as well as pitching motion were investigated using Computational Fluid Dynamics (CFD) techniques. Simulation results indicated that both the out-of-plane and in-plane translational motions of the airfoil affect the unsteady aerodynamic forces significantly. In order to investigate the effects of blade vibration on the aerodynamic load on a large-scale HAWT blade during its operating lifetime, an aerodynamic model based on the Blade Element-Momentum (BEM) theory and the Beddoes-Leishman (B-L) dynamic stall model was proposed. The BEM model was revised to account for the vibration-induced velocity components in the calculation of the effective angle of attack. Aerodynamic load analysis of a 5 MW wind turbine was then performed and the impact of blade vibration on the lifetime aerodynamic fatigue loads was analysed.

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Section: Pitching Motionsupporting

confidence: 91%

Section: Pitching Motionmentioning

confidence: 90%

Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

et al. 2017

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“…The FVM is a discretization technique used commonly in CFD modeling of flapping foil. Amiralaei et al [13,18], Lu et al [15,19], Young et al [20,21] and Wang et al [11,22,23] are the example of researchers used FVM in their CFD simulations to study flapping foil performance. The convective and diffusive terms are discretized using a second order central differencing scheme.…”

Section: Computational Modelmentioning

confidence: 99%

“…To reach the stable and reliable results in the present simulation the results are reported after 5 flapping cycle. This policy is chosen because the unstable vortex shedding are not formed in the appropriate manner at the early steps of simulation [23]. The motion of the airfoil is modeled using dynamic mesh technique and more details can be found in [17].…”

Section: Computational Modelmentioning

confidence: 99%

Fluid structures of flapping airfoil with elliptical motion trajectory

2015

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“…However, due to the lack of robust CFD methods, most CFD works were done only focusing on the validation of the CFD codes rather than the physical phenomena of the flow. Wang et al (Wang et al 2010;Wang et al 2012) demonstrated that the Shear-Stress-Transport (SST) k − ω turbulence model gave better prediction compared to the Wilcox k − ω for 2D case, but the predicted aerodynamic polar was rather non-smooth with a strong non-physical fluctuation along the whole range of α. Belkheir et al (Belkheir et al 2012) performed 2D and 3D CFD calculations of an airfoil using k − ε and SST k − ω models.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Stall Prediction of a Pitching Airfoil using an Adjusted Two-Equation URANS Turbulence Model

Bangga

Sasongko

2017

JAFM

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The necessity in the analysis of dynamic stall becomes increasingly important due to its impact on many streamlined structures such as helicopter and wind turbine rotor blades. The present paper provides Computational Fluid Dynamics (CFD) predictions of a pitching NACA 0012 airfoil at reduced frequency of 0.1 and at small Reynolds number value of 1.35e5. The simulations were carried out by adjusting the k − ε URANS turbulence model in order to damp the turbulence production in the near wall region. The damping factor was introduced as a function of wall distance in the buffer zone region. Parametric studies on the involving variables were conducted and the effect on the prediction capability was shown. The results were compared with available experimental data and CFD simulations using some selected two-equation turbulence models. An improvement of the lift coefficient prediction was shown even though the results still roughly mimic the experimental data. The flow development under the dynamic stall onset was investigated with regards to the effect of the leading and trailing edge vortices. Furthermore, the characteristics of the flow at several chords length downstream the airfoil were evaluated.

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Turbulence modeling of deep dynamic stall at relatively low Reynolds number

Cited by 165 publications

References 25 publications

Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades

Fluid structures of flapping airfoil with elliptical motion trajectory

Dynamic Stall Prediction of a Pitching Airfoil using an Adjusted Two-Equation URANS Turbulence Model

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