This repository contains the data, plotting scripts, and figures associated with the paper "Assessing diffusion model impacts on turbulent transport and flame structure in lean premixed flames" by Aaron J. Fillo, Peter E. Hamlington, and Kyle E. Niemeyer.
These scripts require Matlab (tested on R2021a), but have no external dependencies.
The plot_*.m scripts reproduce the figures (.png or .pdf) using data contained in this archive. The vorticity_MA.mat and vorticity_MC.mat files are ~2.5 GB and only contained in the Zenodo archive (https://doi.org/10.5281/zenodo.5146501).
The extract_quantities.m and calculate_enstrophy_budget.m scripts read the original NGA
output data files produced in the associated study, and were used to generate the vorticity_*.mat and enstrophy_terms/*.mat files (archived as enstrophy_terms.tgz).
That dataset is ~422 GB and archived at https://doi.org/10.7267/37720k356, for which the full citation is
Fillo, A. J., Hamlington, P. E., Niemeyer, K. E. (2020) Assessing the impact of diffusion model on the turbulent transport and flame structure of premixed lean hydrogen flames: hydrogen data (Version 1) [Dataset] Oregon State University. https://doi.org/10.7267/37720k356
The plot_flame_reconstruction.m script reads files archived in conditional_means.tgz, which
must be uncompressed to conditional_means prior to running.
The NGA_grid_reader.m, NGAdatareader.m, and NGAdatareader_large.m files were originally
obtained from members of the FORCE research group at Caltech,
and we thank them for their support.
The code in this repository is licensed under the BSD 3-clause license (see the LICENSE file
for details), unless otherwise indicated. The figures are licensed under the Creative Commons Attribution 4.0 International License.
The Matlab colormaps in the colormaps directory were made available by Ander Biguri (2021). Perceptually uniform colormaps (https://www.mathworks.com/matlabcentral/fileexchange/51986-perceptually-uniform-colormaps), MATLAB Central File Exchange, retrieved July 27, 2021. The original source is https://bids.github.io/colormap/.