Email: [email protected]
Direct calculation of production or consumption rate of all species in the reaction is a challenging task. Therefore the statistical method such as RANS or LES is used for calculating species changing rate. Also, some methods like FLAMELET would be used to simulate the interactions between kinetic and turbulence. Therefore the LEM (Linear Eddy Model) was implemented in the CANTERA (Open Source Library) to simulate one-dimensional and semi one-dimensional flame with different kinetic. The viscosity and molecular diffusion are implemented similar to a laminar flame, and turbulence effect is implemented by using Triplet Map (TM) (Stochastic advection). The LEM model can simulate a wide variety of flames with different fuels and physics. In the end, the model creates a database like DNS, which uses the statistical results of the database to determine the PDF, SDR, wasting rate of variable, and comparing with DNS and experimental results
For each record, it is provided:
The dataset includes the following files:
| Files | Description |
|---|---|
| 'README.txt' | |
| 'All_Matlab_Code.m' | Almost all the essential function for post-processing is provided in each section. Also, there is enough comment for each section. |
| 'COnditionalAverageCompare.m' | For conditional Average calculation |
| 'LaminarFlameSpeed.py' | It calculates the flame speed with CANTERA code for the first estimation. |
| 'F1_flame_case_for_Triplet.py' | It will be used for initial condition calculation. |
| 'InstructionToRun.txt' | A short instruction to run LEM code |
| 'K6_LEM.py' | It will be used to run a job. |
| 'ModifiedreadDNS.m' | For reading DNS data |
| 'Smooke.cti' | Reduced mechanism that is used in the calculation. |
| 'config.txt' | Problem configuration that is used to run a job by 'K6_LEM.py' |
| 'flameSolver.cpp' | Ember function that will be replaced with original files ( LEM functions are implemented here ) |
| 'flameSolver.h' | Ember function that will be replaced with original files ( LEM functions are implemented here ) |
- A new user should read 'InstructionToRun.txt' carefully.
- Data will be captured in specific time, find more information in 'K6_LEM.py' and EMBER website. EMBER Repository
- This function jus uses the chemistry input of the EMBER code and don't use any function in EMBER.
- To reduce the time it is necessary to develop the code independent from EMBER and to be written parallel.
- For a problem with 3850 nodes and 18 species on a normal computer system, it will take almost 2 days to get output.
Mojtaba Amini. January 2021.