STmodel

A predictive model of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions

Model predictions on turbulent burning velocity of lean hydrogen flames at different pressures, with DNS data from Lu & Yang, 2021

Validation cases:

Model predictions for the 490 cases:

Dependence

pyutils a package including interfaces for I/O, plot, and cantera

cantera, matplotlib, numpy, scipy

Get start

Please check the /examples folder for two cases of hydrogen and methane, comparing between model predictions and DNS results.

steps:

1. run driver_counterflow.py to get the laminar flame solutions for laminar flame parameters and stretch factor tabulation
2. run run_model_st.py/run_model_UQ_para.py to get the model predictions and comparisons with data, you can also check the .ipynb file for notebook.

Note: The first run will take some time to do the laminar flame simulations and tabulation for a new condition. It depends on the fuel and mechanism employed. Then the necessary data are stored in laminar_info.npz and stretch_factor_table.npy files. Later calls of the model only take negligible time to do algebraic calculations.

Refs:

Zhen Lu and Yue Yang, Modeling pressure effects on the turbulent burning velocity for lean hydrogen/air premixed combustion, Proceedings of the Combustion Institute, 38, 2901-2908, 2021. arXiv PCI

Zhen Lu and Yue Yang, Modeling of the turbulent burning velocity for planar and Bunsen flames over a wide range of conditions, Acta Mechanica Sinica, 38, 121504, 2022. arXiv AMS