Prediction of Aerodynamic Characteristics for Elliptic Airfoils in Unmanned Aerial Vehicle Applications

Chitta, Varun; Dhakal, Tej P.; Walters, D. Keith

doi:10.5772/33312

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…The performance of the k-ω SST model were investigated deeply and a modification was offered by the authors and the modified version of k-ω SST model was called k-ω SST-LR model and results of this model for Re=60000 and α=4° showed very good agreement with LES results. Chitta et al [13] performed a numerical investigation over an elliptical aerofoil. S-A, k-ω SST, curvature-sensitive SST k-ω-v 2 which was modified version of SST k-ω model turbulent models and k-k L -ω and SST Transition were used.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Low Reynolds Number Flows Over an Aerofoil

Karasu¹,

Genç²,

Açıkel³

2013

J Appl Mech Eng

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This study is a numerical investigation on laminar separation bubble over a NACA2415 aerofoil at low Reynolds numbers and various angles of attack. The numerical results were compared with the experimental results of our previous study. Oil flow visualization technique, an external three-component balance system and pressure measurements were used for the experiments. In the experimental results, stall angle was 12°, 13° and 15° for Re=0.5x10 5 , Re=1x10 5 and Re=3x10 5 , respectively. The flow separation, reattachment and forming the laminar separation bubble were clearly seen by using the aforementioned experimental methods. It was indicated that the point of separation moved towards the leading edge as the angle of attack increased. Moreover, the flow visualization results showed that as the angle of attack increased further, the bubble burst and the separated flow was not able to reattach to the aerofoil surface, which indicated stall. In the numerical results, the transition models are shown to accurately predict the location of the separation bubble experimentally determined at lower angles of attack. Furthermore, the numerical prediction using the transition models are more successful than the turbulence model suitable for low Re number flows. Journal of Applied Mechanical Engineering J ou rnal of A p p li e d Me cha n ic a l E n gi neerin g

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Section: Introductionmentioning

confidence: 99%