2009
DOI: 10.1002/we.370
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On the temporal response of active load control devices

Abstract: Flow around airfoils with deploying microtabs and microfl aps (or dynamic Gurney fl ap) have been numerically simulated by solving the unsteady turbulent compressible 2-D Navier-Stokes equations with the OVERFLOW 2 solver. Microtabs and microfl aps on the order of 1%c were installed in the trailing edge region of the symmetric NACA 0012 airfoil using a Chimera or overset grid topology. The devices were deployed on the order of one characteristic time unit, and the unsteady aerodynamic responses of both devices… Show more

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Cited by 15 publications
(15 citation statements)
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References 41 publications
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“…As shown below, the latter can be addressed within the ILC framework by the addition of a proportional term to the basic ILC law. Examples of smart actuators are trailing edge flaps [16][17][18], microtabs [19,20] and active vortex generators.…”
Section: Aerodynamic Load Control On a Wind Turbine Blade (A) Backgroundmentioning
confidence: 99%
“…As shown below, the latter can be addressed within the ILC framework by the addition of a proportional term to the basic ILC law. Examples of smart actuators are trailing edge flaps [16][17][18], microtabs [19,20] and active vortex generators.…”
Section: Aerodynamic Load Control On a Wind Turbine Blade (A) Backgroundmentioning
confidence: 99%
“…In the last decades, many different flow control devices have been designed and developed (see Chow et al [8]). Most of them were intended for aeronautical applications (Taylor [9]), but also frequently used in turbo machinery (see Liu et al [10] and Xu et al [11]).…”
Section: Introductionmentioning
confidence: 99%
“…The initial reverse lift peak induced by the the micro-tab has also been observed by Chow & Van Dam [45]. They show that a micro-flap, which is a Gurney flap located at the trailing edge that can be deployed by rotation rather than translation, is a better option since it does not feature this behavior.…”
Section: Potential Options For Smart Rotor Controlsupporting
confidence: 54%