Replication Data for: Modeling dense droplet spray combustion with multiple-mapping conditioning

<h1>Modeling dense droplet spray combustion with multiple-mapping conditioning</h1>
<p>
This data set contains the OpenFOAM case files required for reproducing the results published in:</p>
<p>
Jan Wilhelm Gärtner, Ka Ho Lam, Andreas Kronenburg,<br>
Modeling dense droplet spray combustion with multiple-mapping conditioning,<be>
<it>Proceedings of the Combustion Institute</it>,<br>
Volume 41, 2025, 105895, doi: <a href="https://doi.org/10.1016/j.proci.2025.105895">10.1016/j.proci.2025.105895</a>.
</p>
<p>
The case files are separated in two tar archives:
<ul>
<li><strong>DNS:</strong> Contains all DNS cases separated in LtoD-5 and LtoD-10 setup</li>
<li><strong>LES:</strong> Contains all LES cases separated in LtoD-5 and LtoD-10 setups</li>
</ul>
The LtoD-5 setup corresponds to the dense case and the LtoD-10 setup to the dilute spray case.
</p>

<h2>Plot Results</h2>
To generate the plots of the paper, the provided Jupyter notebook files may be used. These Jupyter notebook files require two additional Python libraries<br>
<ul>
<li><a href="https://github.com/ITV-Stuttgart/ofReader">OpenFOAM Reader</a></li>
<li>mmcFoam python library for post-processing</li>
</ul>
The OpenFOAM Reader is open-source and publicly available on GitHub. The mmcFoam Python library is part of the mmcFoam solver, which is open-source upon registration. If you wish to use mmcFoam, please contact:<br>
Prof. Andreas Kronenburg: <a href= "mailto:[e-mail]">[e-mail]</a><br>
Prof. Matthew Cleary: <a href= "mailto:[e-mail]">[e-mail]</a><br>