CFD Simulation Projects by ANSYS Fluent

CFD Simulation Projects by ANSYS Fluent

47
14h 42m 35s
  1. Section 1

    Forced Convection

  2. Section 2

    Moving Reference Frame (MRF)

  3. Section 3

    Gas & Petrochemical

  4. Section 4

    Aerodynamics & Aerospace

    1. Episode 7 1h 3m 43s Free
  5. Section 5

    Mechanical

  6. Section 6

    HVAC

  7. Section 7

    Chemical

  8. Section 8

    Architectural

  9. Section 9

    Hydraulic Structure & Civil

  10. Section 10

    Multi-Phase Flow

  11. Section 11

    Porous

MR CFD
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CFD Simulation Projects by ANSYS Fluent — Ep 02

Supersonic Flow over SR-71 Blackbird Numerical Aproach

Episode
02
Run Time
15m 7s
Published
Mar 15, 2025
Course Progress
0%
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About This Episode

Summary of Supersonic Flow over Blackbird Aircraft CFD Simulation, SR- 71

Project Description

Using ANSYS Fluent, this project models the supersonic flow over an SR-71 Blackbird aircraft.  In dry air at 20°C, suersonic speed is defined as speeds above the speed of sound, roughly 343 m/s.  Traveling at 446 m/s in this simulation, the SR-71 aircraft produces a Mach number of 1.3 with a 2-degree angle of attack.

Geometry and Meshing

  • Geometry Design: Design Modeler imports the three-dimensional geometry of the SR-71 Blackbird and positions it inside an enclosure.
  • Initial Meshing: Unstructured mesh produced with ANSYS Meshing with 1,744,624 components.
  • Mesh Conversion: ANSYS Fluent transformed tetrahedron mesh to polyhedra for improved simulation accuracy.

Methodology: Supersonic Flow over SR-71 Blackbird Aircraft

  • Solver Type: Pressure-based solver modelling compressible flows by include ideal-gas behaviour of air density using a coupled pressure-velocity algorithm.
  • Simulation Type: performed in steady state with the Sutherland model modeling viscosity as a function of temperature.

Conclusion

Over the SR-71 aircraft, the simulated supersonic flow (Mach number 1.3) emphasizes important observations:

  • Solver Choice: Although compressible flow usually employs a density-based solver, a pressure-based solver was efficiently applied using the linked velocity-pressure technique.
  • Shock Waves: Extreme velocity and pressure gradients were found near the nose and engines of the aircraft from shock waves.
  • Density Variations: Important density differences verified the need of including compressibility into the model.
  • Correlation: Pressure, density, and temperature showed the expected direct link.
 
Download Geometry And Mesh Files