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>) for 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.   
|}
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Revision as of 10:50, 28 April 2011


Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice

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

Front Page

Description

Test Data

CFD Simulations

Evaluation

Best Practice Advice


© copyright ERCOFTAC 2024