Reference : An Efficient Flamelet-based Combustion Model for Supersonic Flows
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/96247
An Efficient Flamelet-based Combustion Model for Supersonic Flows
English
Saghafian, Amirreza [Stanford University > Mechanical Engineering Department > > >]
Terrapon, Vincent mailto [Center for Turbulence Research, Stanford University > > > >]
Ham, Frank [Center for Turbulence Research, Stanford University > > > >]
Pitsch, Heinz [Stanford University > Mechanical Engineering Department > > >]
Apr-2011
17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference 2011, Vol. 2; No AIAA 2011-2267
Curran Associates, Inc.
848-866
No
International
9781617829734
Red Hook
NY
17th AIAA International Space Planes and Hypersonic Systems and Technologies Conference
from 11-04-2011 to 14-04-2011
American Institute for Aeronautics and Astronautics ( AIAA )
San Francisco, California
USA
[en] Tabulated chemistry ; Flamelet ; Combustion Model ; Supersonic ; Scramjet
[en] A combustion model based on a Flamelet/Progress Variable approach for high-speed flows is introduced. In the proposed formulation, the temperature is computed from the transported total energy and tabulated species mass fractions. The combustion is thus modeled by 3 additional scalar equations and a chemistry table that is computed in a pre-processing step. This approach is very efficient and allows the use of complex chemical mechanisms. An approximation is also introduced to eliminate costly iteration steps during the temperature calculation. To better account for compressibility e ects, the source term for the progress variable is rescaled with the pressure. The model is tested in both RANS and LES computations of a hydrogen jet in a supersonic transverse flow. Comparison with experimental measurements shows good agreement, particularly in the LES case. It is also found that the disagreement between RANS results and experimental data is mostly due to the mixing model de ciencies used in RANS.
United States Department of Energy
Predictive Science Academic Alliance Program (PSAAP)
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/96247

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