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

DOI

Modeling dense droplet spray combustion with multiple-mapping conditioning

This data set contains the OpenFOAM case files required for reproducing the results published in:

Jan Wilhelm Gärtner, Ka Ho Lam, Andreas Kronenburg, Modeling dense droplet spray combustion with multiple-mapping conditioning, Proceedings of the Combustion Institute, Volume 41, 2025, 105895, doi: 10.1016/j.proci.2025.105895.

The case files are separated in two tar archives:

DNS: Contains all DNS cases separated in LtoD-5 and LtoD-10 setup
LES: Contains all LES cases separated in LtoD-5 and LtoD-10 setups

The LtoD-5 setup corresponds to the dense case and the LtoD-10 setup to the dilute spray case.

Plot Results To generate the plots of the paper, the provided Jupyter notebook files may be used. These Jupyter notebook files require two additional Python libraries

OpenFOAM Reader mmcFoam python library for post-processing

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: Prof. Andreas Kronenburg: andreas.kronenburg@irst.uni-stuttgart.de Prof. Matthew Cleary: m.cleary@sydney.edu.au

OpenFOAM, v2406

mmcFoam, v2506

Identifier
DOI https://doi.org/10.18419/DARUS-5491
Related Identifier IsSupplementTo https://doi.org/10.1016/j.proci.2025.105895
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/DARUS-5491
Provenance
Creator Gärtner, Jan Wilhelm ORCID logo
Publisher DaRUS
Contributor Gärtner, Jan Wilhelm; Andreas Kronenburg; Kronenburg, Andreas; Lam, Ka Ho
Publication Year 2025
Funding Reference DFG 390544712
Rights CC BY 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess true
Contact Gärtner, Jan Wilhelm (University of Stuttgart); Andreas Kronenburg (University of Stuttgart)
Representation
Resource Type Dataset
Format application/gzip
Size 1264312512; 969736382; 265320079
Version 1.0
Discipline Chemistry; Construction Engineering and Architecture; Engineering; Engineering Sciences; Natural Sciences