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Folie 1 > Vortrag > Autor

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Simulation of the cold flow in a combustion chamber using the THETA-code R. Kessler Content Physical problem THETA-code Grid generation and adaptation strategy ... – PowerPoint PPT presentation

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Title: Folie 1 > Vortrag > Autor


1
Simulation of the cold flow in a combustion
chamber using the THETA-code
R. Kessler
2
Content
  • Physical problem
  • THETA-code
  • Grid generation and adaptation strategy
  • Results

3
Physical problem
  • Simulation of flow in model combustion chamber
  • Complex geometry, many inlets
  • Complex physics, 3-50 additional transport
    equations have to be solved
  • Low Mach number flows
  • c only the (simple) cold flow simulation are
    presented here

4
TAU/THETA-Code (1)
Grid generation
TAU
THETA
Preprocessing
Solver incompressible
Solver compressible
Libraries
Adaptation
Postprocessing
5
TAU/THETA-Code (2)
  • Numerical algorithm is adapted to low Mach number
    flows
  • Modified boundary conditions (wall, inflow,
    outflow)
  • Flexible and modular model interface
  • User defined functions

6
Model geometry
  • Combustion chamber with
  • Swirl inlet
  • 20 Cooling inlets

7
Grid generation using CENTAUR (1)
  • Standard settings
  • Automatic clustering near panel intersections
  • No clustering in the interiour
  • c easy and fast grid generation
  • c reasonable surface grids
  • c Adaptation is needed

8
Grid generation using CENTAUR (2)
  • Coarsest Grid (33099 points)

9
Adaptation
  • Indicator is based on coarse grid solution
  • The coarse grid solution does not (or not
    correctly) reproduce the relevant phenomana
  • c no appropriate indicator may be available
  • Solution a series of adaptation steps have to
    be applied

10
Adaption indicator
  • Based on vorticity
  • Used sum of neighbouring points (rather than
    difference etc.)
  • Indicator is computed by the user-defined
    functions of the solver
  • Problems Vorticity is highest at inflow plane
    c a minimum h is essential c a properly
    choosen h-scaling power forces the refinement
    in regions with large cells (typical values
    1.7-2.1)

11
Adapted Grids
12
Contour plots of Velocity
13
Velocity profiles
14
Conclusions
  • The adaptaion works well for the combustion
    chamber flow
  • Using the vorticity as adaptation indicator
    requires
  • - the setting of a proper lower limit for the
    edge length
  • - an appropriate scaling of the indicator
    with the edge length
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