SRF Method, Mixing Tank CFD Simulation by ANSYS Fluent Tutorial

Price: $20

  • The problem numerically simulates the performance of a mixing tank using ANSYS Fluent software.
  • We design the 3-D model by the Design Modeler and create the mesh using ANSYS Meshing software.
  • The element number equals 278,775.
  • The SRF option is enabled to define the rotational motion of the impellers.
Audio: English
Subtitles: English, Spanish, Arabic, Turkish, French, Portuguese
Intermediate
1 Lesson
16m 11s
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  • Chemical

    SRF Method, Mixing Tank CFD Simulation by ANSYS Fluent Tutorial

    Price: $20

    • The problem numerically simulates the performance of a mixing tank using ANSYS Fluent software.
    • We design the 3-D model by the Design Modeler and create the mesh using ANSYS Meshing software.
    • The element number equals 278,775.
    • The SRF option is enabled to define the rotational motion of the impellers.
    Audio: English
    Subtitles: English, Spanish, Arabic, Turkish, French, Portuguese
    Intermediate
    1 Lesson
    16m 11s

    Description

    The present problem simulates the performance of a mixing tank by ANSYS Fluent software.

    The closed mixing tank contains water liquid while the impeller starts rotating with 500 rev/min angular velocity, creating a massive vortex in the middle of the tank.

    The geometry of the present model is three-dimensional and has been designed using Design Modeler software. We do the meshing of the present model by ANSYS Meshing software. The mesh type is unstructured, and the element number is 278,775.

    This product is the 2nd episode of the Turbomachinery Training Course.

    Methodology: Mixing Tank CFD Simulation by SRF Method

    The Single Reference Frames (SRF) method is enabled to model the rotational movement of the impeller. In this method, which should be enabled like the MRF method, there is only one domain in the solution and there are no other stationary zones. The flow in this zone rotates while the impeller is fixed.

    The solution is Steady, and the k- Ꜫ model is chosen to simulate the turbulence of the flow.

    Conclusion

    Since the main purpose of the issue is to investigate water movement inside a mixing tank, its related contours can be shown in the figures. Two-dimensional contours related to pressure, velocity, as well as turbulent intensity were obtained.

    In the case of pressure, it is visible that the amount of water pressure increases as getting close to the wall of the tank.

    As was expected, the flow speed same as pressure increases, moving away from the center of the tank. Also, the turbulent intensity parameter shows us the turbulence all over the tank.