1 / 43

Computation of the Flow of a Dual-Stream Jet with Fan-Flow Deflectors for Noise Reduction

This study focuses on computation and flow control of a dual-stream jet with fan-flow deflectors for noise reduction. Computational models and configurations for a 2-vane and 4-vane caes JST scheme are explored using an explicit time-marching multi-block MPI computational approach. The flow control equation is the 3D Reynolds-Average Navier-Stokes equation. The CFD code used is ParCAE program with a turbulence model of k-ωSST. Preconditioning involves a computational grid setup including base nozzle, vane grids (A-G), and axial velocity profiles for analysis. Additionally, transverse velocity and TKE contours are computed for the base nozzle and various vanes. Experiment-computational isocontours of axial and radial velocity gradients are displayed for further analysis.

elofland
Download Presentation

Computation of the Flow of a Dual-Stream Jet with Fan-Flow Deflectors for Noise Reduction

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Computation of the Flow of a Dual-Stream Jet with Fan-Flow Deflectors for Noise Reduction 1/13/2008

  2. Computational Models Configurations for 2-vane and 4-vane caes

  3. JST Scheme Explicit Time Marching Multi-Block MPI Computational Approach • Flow Control Equation: – 3D Reynolds-Average Navier-Stokes Equation • CFD code: –ParCAE Program • Turbulence Model –k-ωSST • Preconditioning

  4. Computational Grid Grid of Base B27 Nozzle Grid of Vane-D Nozzle

  5. Base Vane-A Vane-B Vane-C

  6. Vane-D Vane-E Vane-F Vane-G

  7. Base Vane-A Vane-B Vane-C

  8. Vane-D Vane-E Vane-F Vane-G

  9. Axial Velocity Profile (Base Nozzle) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  10. Axial Velocity Profile (Vane-A) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  11. Axial Velocity Profile (Vane-B) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  12. Axial Velocity Profile (Vane-C) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  13. Axial Velocity Profile (Vane-D) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  14. Axial Velocity Profile (Vane-E) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  15. Axial Velocity Profile (Vane-F) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  16. Axial Velocity Profile (Vane-G) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  17. Transverse Velocity Contour (Base Nozzle) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  18. Transverse Velocity Contour (Base Nozzle) X=12.27Df X=7.73Df X=11.0Df Top: Computational Bottom: Exp

  19. Transverse Velocity Contour (Vane-A) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  20. Transverse Velocity Contour (Vane-A) X=12.27Df X=7.73Df X=11.0Df Top: Computational Bottom: Exp

  21. Transverse Velocity Contour (Vane-B) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  22. Transverse Velocity Contour (Vane-B) X=12.27Df X=7.73Df X=11.0Df Top: Computational Bottom: Exp

  23. Transverse Velocity Contour (Vane-C) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  24. Transverse Velocity Contour (Vane-C) X=12.27Df X=7.73Df X=11.0Df Top: Computational Bottom: Exp

  25. Transverse Velocity Contour (Vane-D) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  26. Transverse Velocity Contour (Vane-D) X=7.73Df X=12.27Df X=11.0Df Top: Computational Bottom: Exp

  27. Transverse Velocity Contour (Vane-E) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  28. Transverse Velocity Contour (Vane-E) X=7.73Df X=12.27Df X=11.0Df Top: Computational Bottom: Exp

  29. Transverse Velocity Contour (Vane-F) X=5.91Df X=0.45Df X=3.18Df Top: Computational Bottom: Exp

  30. Transverse Velocity Contour (Vane-F) X=7.73Df X=12.27Df X=11.0Df Top: Computational Bottom: Exp

  31. Transverse Velocity Contour (Vane-G) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  32. Transverse TKE Contour (Base Nozzle) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  33. Transverse TKE Contour (Vane-A) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  34. Transverse TKE Contour (Vane-B) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  35. Transverse TKE Contour (Vane-C) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  36. Transverse TKE Contour (Vane-D) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  37. Transverse TKE Contour (Vane-E) X=0.45Df X=3.18Df X=5.91Df X=12.27Df X=11.0Df X=7.73Df

  38. Transverse TKE Contour (Vane-F) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=11.0Df X=12.27Df

  39. Transverse TKE Contour (Vane-G) X=0.45Df X=3.18Df X=5.91Df X=7.73Df X=12.27Df X=11.0Df

  40. Experiment Computational Isocontours of axial velocity, u/Up, on symmetry plane for base nozzle.

  41. Experiment Computational Isocontours of radial velocity gradient on symmetry plane for base nozzle.

  42. Experiment Computational Isocontours of axial velocity, u/Up, on symmetry plane for Vane-D.

  43. Experiment Computational Isocontours of radial velocity gradient on symmetry plane for Vane-D.

More Related