Replication Data for: Iaroslavtceva et al. "A consistent MMC-LES approach for turbulent premixed flames" (2024) Proc. Combust. Inst.

DOI

A Consistent MMC-LES Approach for Turbulent Premixed Flames

This data set contains case setups to reproduce the simulation results presented in Iaroslavtceva et al. (2024) Proceedings of the Combustion Institute. In this publication, a set of freely propagating turbulent premixed flames with varying equivalence ratios is used to test the performance of Multiple Mapping Conditioning (MMC) model. MMC coupled with Large Eddy Simulation (LES) provides a closure of the filtered chemical source term. Results of MMC-LES are compared with reference Direct Numerical Simulations (DNS) that include full chemistry. Additional simulations were carried out where MMC is coupled with quasi-DNS where the flow field is fully resolved but the reaction progress variable field is thickened and its source term is closed with a flamelet approach. This allows to isolate the different modelling assumptions invoked in MMC-LES.

Data structure

The setups for the following cases are presented:

Equivalence ratio = 0.6 (MMC-quasi-DNS): eqRatio0_6/MMC-DNS Equivalence ratio = 0.6 (MMC-ATF-DNS): eqRatio0_6/MMC-ATF-DNS Equivalence ratio = 0.6 (MMC-LES): eqRatio0_6/MMC-LES Equivalence ratio = 0.6 (DNS): eqRatio0_6/DNS Equivalence ratio = 1.0 (MMC-LES): eqRatio1/MMC-LES Equivalence ratio = 1.0 (DNS): eqRatio1/DNS Equivalence ratio = 0.25 (MMC-LES): eqRatio0_25/MMC-LES Equivalence ratio = 0.25 (DNS): eqRatio0_25/DNS

Instructions on how to run the cases can be found in each case folder in README file.

The authors acknowledge the financial support by the Deutsche Forschungsgemeinschaft, Germany (DFG, project number 393542303).

Identifier
DOI https://doi.org/10.18419/darus-4570
Related Identifier IsCitedBy https://doi.org/10.1016/j.proci.2024.105226
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-4570
Provenance
Creator Iaroslavtceva, Nadezhda ORCID logo
Publisher DaRUS
Contributor Kronenburg, Andreas; Iaroslavtceva, Nadezhda; Gärtner, Jan Wilhelm
Publication Year 2024
Funding Reference DFG 393542303
Rights CC BY 4.0; info:eu-repo/semantics/restrictedAccess; http://creativecommons.org/licenses/by/4.0
OpenAccess false
Contact Kronenburg, Andreas (Universität Stuttgart); Iaroslavtceva, Nadezhda (Universität Stuttgart)
Representation
Resource Type Dataset
Format application/gzip
Size 44148594004
Version 1.0
Discipline Construction Engineering and Architecture; Energy Process Engineering; Engineering; Engineering Sciences; Fluid Mechanics; Heat Energy Technology, Thermal Machines, Fluid Mechanics; Mechanical and industrial Engineering; Mechanics; Mechanics and Constructive Mechanical Engineering; Thermal Engineering/Process Engineering