Airflow Around a NACA 0008 Airfoil, ANSYS Fluent Training

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This project is going to simulate an airfoil in the airflow field with a 16-degree attack angle.

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Geometry, Mesh, and CFD Simulation methodologygy explanation, result analysis and conclusion
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Description

Airflow Around a NACA 0008 Airfoil CFD Simulation, ANSYS Fluent Training

 Description

This project is going to simulate a NACA 0008 Airfoil in the airflow field with ANSYS Fluent software. Geometric defining parameters include chord line, angle of attack, leading edge, and trailing edge. The direction of the airflow into the body is defined by the angle of attack (the angle between the chord and the horizontal direction of the airflow velocity). The purpose of this paper is to investigate the behavior of airflow and pressure distribution, as well as to study drag and lift forces.

In the present case, the angle of attack is 16 degrees and the length of the chord and the width of the airfoil are assumed to be equal to 1. Also, we selected the maximum speed of 20.78736m/s for the inlet. Thus, to determine the drag force, the length of the chord must be multiplied by the sine 16 and then across the cross-section width, and to define the lift force, the chord length must be multiplied by the cosine 16 multiplied by the cross-section and then across the width. Therefore, the surface area for calculating the lift and drag forces is equal to the following values, which are defined in the reference values section.

The following figure gives a schematic of the structure of an asymmetric and its defining geometric parameters:

The 2-D geometry of the present model is drawn using the Design Modeler software. First, the coordinates of the points in the wall forming the desired airfoil are imported into the software, and then, using the called points, it is completely drawn in the software. The far-field boundary required for the analysis of airflow behavior is then drawn around the airfoil according to the relevant standards. The figure below shows an overview of the model’s geometry.

The meshing of the present model has been done using ANSYS Meshing software. The mesh type is unstructured and the element number is equal to 296533. The figure below shows a view of the meshing.

Airflow around an Airfoil  Methodology

To simulate the present model, we considered several assumptions such as performing the pressure-based solver, the steady model is considered and we do not consider the effect of gravity on the fluid.

We used the k-epsilon RNG enhanced wall treatment model to simulate the fluid’s turbulence.

conclusion

At the end of the airfoil solution process, we obtain two-dimensional contours of pressure, velocity, turbulent kinetic energy, as well as two-dimensional pathlines. Also, the value of drag and lift coefficient and forces have been obtained.

1 review for Airflow Around a NACA 0008 Airfoil, ANSYS Fluent Training

  1. Larue Larkin

    Can I contribute to this simulation?

    • MR CFD Support

      We are open to contributions! Please share your ideas or suggestions.

  2. Edmond Waelchi

    Can this simulation be used to optimize the airfoil design?

    • MR CFD Support

      Absolutely! The results from this simulation can be used to analyze the performance of the airfoil and make necessary design modifications for optimization.

  3. Phillipp T.

    Hi. Thanks for your tutorials.
    When are we allowed to use the far-field boundary condition in our simulations?

    • melika maysoori

      Hi Phillipp. Hope u doing well. Actually Pressure Far-Field bc is used to model free-stream compressible flow at infinity, with prescribed static conditions and the free-stream Mach number. But there are some limitations :
      1. This boundary condition is applicable only when the density is calculated using the ideal-gas law
      2. It is incompatible with the multiphase models (VOF, mixture, and Eulerian) that are available with the pressure-based solver.
      3. It cannot be applied to flows that employ constant density, the real gas model, and the wet steam model, which are available in the density-based solver.

      Also, note that to effectively approximate true infinite-extent conditions, you must place the far-field boundary far enough from the object of interest.

      😉

  4. Lavina Friesen

    that’s fantastic. Keep it up!

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