Dynamic stall of an experimental wind turbine blade

Melius, Matthew; Cal, Raúl Bayoán; Mülleners, Karen

doi:10.1063/1.4942001

Cited by 44 publications

(26 citation statements)

References 31 publications

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“…Ψ 2 i , i = 1, 2), contains much less turbulent kinetic energy (i.e. Λ 2 ∼ 0.049 ) and exhibits a shear layer with a shear direction that is changing accordingly with the sign of its associated the angle of incidence as pointed out by [15,17]. Interestingly, minimums of a 2 (t) occurs significantly ahead of the flow separation/reattachment instants contrary to the first mode.…”

Section: Methodsmentioning

confidence: 99%

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Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

Soulier¹,

Braud²,

Voisin³

et al. 2020

Preprint

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Monitoring the flow features over wind turbine blades is a challenging task that has become more and more crucial. This paper is devoted to demonstrate the ability of the e-TellTale sensor to detect the flow separation/reattachment dynamics over wind turbine blades. This sensor is made of a strip with a strain gauge sensor at its base. The velocity field was acquired using TR-PIV measurements over an oscillating thick blade section equipped with an e-TellTale sensor. PIV images were post-processed to detect movements of the strip, which was compared to movements of flow. Results show good agreement between the measured velocity field and movements of the strip regarding the separation/reattachment dynamics.

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Section: Methodsmentioning

confidence: 99%

“…To explore further the detection of these instants, we choose to use another method based on statistics introduced in section 3. [15,17]. The chosen vector field for the present analysis focuses on the separated shear layer dynamics rather than the wake dynamics from the initial PIV field of view (see figure 16).…”

Section: Methodsmentioning

confidence: 99%

Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

Soulier¹,

Braud²,

Voisin³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…1). At 16 The blade is pitched dynamically to change its angle of attack from 12 • → 24 • → 12 • (simulating the passage of a single accelerating-decelerating gust) by a stepper motor which is located outside the wind tunnel. A time series of instantaneous velocity snapshots is recorded for a single pitching cycle, as shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

The role of surface vorticity during unsteady separation

2018

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Unsteady flow separation in rotationally augmented flow fields plays a significant role in a variety of fundamental flows. Through the use of time-resolved particle image velocimetry, vorticity accumulation and vortex shedding during unsteady separation over a three-dimensional airfoil are examined. The results of the study describe the critical role of surface vorticity accumulation during unsteady separation and reattachment. Through evaluation of the unsteady characteristics of the shear layer, it is demonstrated that the buildup and shedding of surface vorticity directly influence the dynamic changes of the separation point location. The quantitative characterization of surface vorticity and shear layer stability enables improved aerodynamic designs and has a broad impact within the field of unsteady fluid dynamics.

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“…The effects of accelerated flows were shown by Choudhry et al (2013), Gharali and Johnson (2015) and Karbasian et al (2016a). Some researchers (Mulleners and Raffel 2013;Melius et al 2016) experimentally analyzed DS. Many researchers experimentally represented leading edge vortex (LEV) shedding.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow

Honarmand

Djavareshkian

Feshalami

et al. 2019

J.Aerosp. Technol. Manag.

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In this research, viscous, unsteady and turbulent fluid flow is simulated numerically around a pitching NACA0012 airfoil in the dynamic stall area. The Navier-Stokes equations are discretized based on the finite volume method and are solved by the PIMPLE algorithm in the open source software, namely OpenFOAM. The SST k - ω model is used as the turbulence model for Low Reynolds Number flows in the order of 105. A homogenous dynamic mesh is used to reduce cell skewness of mesh to prevent non-physical oscillations in aerodynamic forces unlike previous studies. In this paper, the effects of Reynolds number, reduced frequency, oscillation amplitude and airfoil thickness on aerodynamic force coefficients and dynamic stall delay are investigated. These parameters have a significant impact on the maximum lift, drag, the ratio of aerodynamic forces and the location of dynamic stall. The most important parameters that affect the maximum lift to drag coefficient ratio and cause dynamic stall delaying are airfoil thickness and reduced frequency, respectively.

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Dynamic stall of an experimental wind turbine blade

Cited by 44 publications

References 31 publications

Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

Ability of the e-TellTale sensor to detect flow features over wind turbine blades: flow stall/reattachment dynamics

The role of surface vorticity during unsteady separation

Numerical Simulation of a Pitching Airfoil Under Dynamic Stall of Low Reynolds Number Flow

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