Evaluation of the turbulence models for the simulation of the flow over a National Advisory Committee for Aeronautics (NACA) 0012 airfoil

Douvi, Eleni

doi:10.5897/jmer11.074

Cited by 63 publications

(19 citation statements)

References 8 publications

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“…Ansys contains many turbulence models such as Spalart-Allmaras, k-w, k-ε and so so on [17]. Some articles about turbulence models suggest standard k-w turbulence model for aerodynamics and turbomachinery applications [18]- [22]. It is also preferred in low Reynolds Numbered applications [16].…”

Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

NACA 0009 Profilli Bir Kanadin Düşük Bir Reynolds Sayisinda Had Analizi

2021

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 Using Ansys version 15.0, three-dimensional simulations of NACA 0009 aerofoil has been carried out.  Four different angles of attack were used at the constant Reynolds Number and aerodynamic performance was measured in the light of the data received.  In the analysis in addition to the lift coefficient, drag coefficient and L/D ratios, velocity profiles and streamlines are visualised in order to explain the events taking place.

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Section: Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

NACA 0009 Profilli Bir Kanadin Düşük Bir Reynolds Sayisinda Had Analizi

2021

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“…As the strengths and weaknesses of the standard k-model have become known, modifications have been done to the model to enhance its performance. Two of these variants are available: the RNG k-model and the Realizable k-model (Eleni et al, 2012;Shih et al, 1995). The modelled transport equations for k and ε in the realizable k- In these equations, is the generation of turbulence kinetic energy because of the mean velocity gradients.…”

Section: The Realizable K−ε Turbulence Modelmentioning

confidence: 99%

Comparative Study on the Prediction of Aerodynamic Characteristics of Mini - Unmanned Aerial Vehicle with Turbulence Models

Somashekar¹,

A²

2021

IJAAA

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Although high altitude UAVs flying are capable of operating continuously for a long time, low altitude UAVs are still wanted as they are more efficient to gather close-range information (Lin, 2008; Savla et al., 2008). Usually, low altitude UAVs have several abilities such as on-site information gathering, target classification, photogrammetric survey, or audio broadcasting and with these abilities, low altitude long endurance UAVs maybe become more effective for disaster prevention and relief. At the beginning of the last century, the first contacts with turbulence modelling emerged which was before the invention of the first computer. One of the forerunners was Prandtl who published his mixing-length hypothesis in 1925 (FAA, 2015). It was far from the modern models, but as all the calculations were done by hands, the prime concentration was to alleviate the number of operations as many as possible. Right after the Second World War, the first computers got familiar with the intention of scientific research. A new interest in turbulence modelling emerged in the same period due to the development of jet engines, supersonic aircraft, and some other technologies which required more accurate simulations. Several turbulence models were manifested during the period of 1940s-1960s. These were the first attempts of accurate prediction of near-wall layer turbulence flows. But it was the beginning of the 1970s when the modern turbulence models were invented. The prime acquisition was the invention of the parent 3 equation model by Hanjalic and Launder (1972) and then the original 2 equation k-ɛ model by Launder and Spalding (1974). There were some limitations found in the latter model such as inaccurate prediction of low Reynolds near-wall flows. The first 1 V and A: Comparative Study on the Prediction of Aerodynamic Characteristics of Mini-UAV with Turbulence Models

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“…The proposed fluid structure interaction FSI model was simplified to reduce the computational tax, so there are many assumptions must be made. Therefore, the model geometry contains the airfoil inside open domain [29] as in figure 4. For more detail see Turek and Hron [19].…”

Section: D Simulation Solutionmentioning

confidence: 99%

Preliminary Design and Computational Fluid Dynamic analysis of Flapping Wing of Micro Aerial Vehicle for Low Reynolds Numbers Regime

Altememe¹,

Hall²,

Altememe³

2019

Int J Aeronaut Aerosp Eng

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This research describes the investigation of the behavior of the flow over a 2D Flapping airfoil for flapping wing of Micro Aerial Vehicles (FWMAV) at very low Reynolds number regieme. The behavior of the flow wake at the trailing edge is studied by the analysis of streamlines for each incidence angle and results are compared by the study of two different flapping airfoils at two different fluids. The use of Fluid Structure Interaction (FSI) simulation has shown accuracy in predicting lift and drag forces at different angles of attack for upstroke and down stroke. This work simulates a classical flow pattern (Von Karman Street) that can form as fluid flows past a flapping NACA0012 airfoil, and S1223 airfoil at low Reynolds numbers and low velocities. These two airfoils have been selected and investigated by using basic computational fluid dynamics and fluid structure interaction modules. The S1223 airfoil, designed by University of Illinois at Urbana and the NACA0012 airfoil were selected for their high lift characteristics at low Reynolds number regime. Simulations were also conducted to check the lift and drag forces for both airfoils at low Reynolds number regime. Velocity distributions were analyzed at different angles of attack for these airfoils. The magnitude and the frequencies of the oscillation generated by the fluid around the airfoils were computed and compared between the airfoils.

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Evaluation of the turbulence models for the simulation of the flow over a National Advisory Committee for Aeronautics (NACA) 0012 airfoil

Cited by 63 publications

References 8 publications

NACA 0009 Profilli Bir Kanadin Düşük Bir Reynolds Sayisinda Had Analizi

NACA 0009 Profilli Bir Kanadin Düşük Bir Reynolds Sayisinda Had Analizi

Comparative Study on the Prediction of Aerodynamic Characteristics of Mini - Unmanned Aerial Vehicle with Turbulence Models

Preliminary Design and Computational Fluid Dynamic analysis of Flapping Wing of Micro Aerial Vehicle for Low Reynolds Numbers Regime

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