CFD Simulations AC2-09: Difference between revisions
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|<math>D_k</math>||is the diffusion coefficient usually taken the same | |<math>D_k</math>||is the diffusion coefficient usually taken the same | ||
(denoted by <math>D</math>) | (denoted by <math>D</math>) | ||
|- | |- | ||
|||each species and defined as <math>\rho D=\mu/Pr</math>, | |||for each species and defined as <math>\rho D=\mu/Pr</math>, | ||
where <math>\mu</math> is the molecular viscosity and <math>Pr</math> is the Prandtl number. | where <math>\mu</math> is the molecular viscosity and <math>Pr</math> is the Prandtl number. | ||
|} | |} |
Revision as of 10:49, 28 April 2011
SANDIA Flame D
Application Challenge AC2-09 © copyright ERCOFTAC 2024
Overview of CFD Simulations
SIMULATION CASE CFD1
Solution Strategy
Computational Domain
Boundary Conditions
Application of Physical Models
In the most general case modeling of the combustion processes is very expensive computationally since together with the solution of the flow field it requires solution of additional transport equations for particular N species (e.g. CO, CO2, H2O, H2, etc.) produced in chemical reactions. The transport equations for species have the following form:
where
is the density | |
is the velocity component | |
is the mass fraction of species | |
is the reaction rate (speed of creation/destruction of a given species) | |
is the diffusion coefficient usually taken the same
(denoted by ) | |
for each species and defined as ,
where is the molecular viscosity and is the Prandtl number. |
Numerical Accuracy
CFD Results
References
SIMULATION CASE CFD2
(as per CFD 1)
Contributed by: Andrzej Boguslawski — Technical University of Częstochowa
© copyright ERCOFTAC 2024