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Title: Modeling stratified flames with and without shear using multiple mapping conditioning

Abstract

A stochastic sparse particle approach is coupled with an artificial thickening flame (ATF) model for large eddy simulations (LES) to predict a series of turbulent premixed-stratified flames with and without shear and stratification. The thickened reaction progress variable serves as reference variable for the multiple mapping conditioning (MMC) mixing model which emulates turbulent mixing of the stochastic particles. The key feature of MMC is to enforce localness in this reference space when particle pairs are mixed and prevents unphysical mixing of burnt and unburnt fluid across the flame front. We apply MMC-ATF to three flames of a series of turbulent stratified flames and validate the method by comparison with experimental data. The new measurements feature increased accuracy in comparison to previously published data of the same flames due to a better signal-to-noise ratio and a setup which is less prone to beam steering. All flame locations are well predicted by the LES-ATF approach and an analysis of the MMC particle statistics demonstrates that MMC preserves the flamelet-like behaviour in regions where the experiments show low scatter around the flamelet solution. Predicted (local) deviations from the flamelet-solution are comparable to deviations observed in the measurements and variations in the flame structuremore » due to differences in stratification and shear are reasonably well captured by the method.« less

Authors:
 [1]; ORCiD logo [1];  [1];  [2];  [3]
  1. Universität Stuttgart (Germany)
  2. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  3. Thermodynamik und Alternative Antriebe, Hochschule Darmstadt (Germany)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1497653
Report Number(s):
SAND-2017-13161J
Journal ID: ISSN 1540-7489; 672179
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Proceedings of the Combustion Institute
Additional Journal Information:
Journal Volume: 37; Journal Issue: 2; Journal ID: ISSN 1540-7489
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION; Turbulent premixed combustion; TSF; LES; Generalized MMC; Sparse particle method

Citation Formats

Straub, Carmen, Kronenburg, Andreas, Stein, Oliver T., Barlow, Robert S., and Geyer, Dirk. Modeling stratified flames with and without shear using multiple mapping conditioning. United States: N. p., 2018. Web. doi:10.1016/j.proci.2018.07.033.
Straub, Carmen, Kronenburg, Andreas, Stein, Oliver T., Barlow, Robert S., & Geyer, Dirk. Modeling stratified flames with and without shear using multiple mapping conditioning. United States. doi:10.1016/j.proci.2018.07.033.
Straub, Carmen, Kronenburg, Andreas, Stein, Oliver T., Barlow, Robert S., and Geyer, Dirk. Thu . "Modeling stratified flames with and without shear using multiple mapping conditioning". United States. doi:10.1016/j.proci.2018.07.033. https://www.osti.gov/servlets/purl/1497653.
@article{osti_1497653,
title = {Modeling stratified flames with and without shear using multiple mapping conditioning},
author = {Straub, Carmen and Kronenburg, Andreas and Stein, Oliver T. and Barlow, Robert S. and Geyer, Dirk},
abstractNote = {A stochastic sparse particle approach is coupled with an artificial thickening flame (ATF) model for large eddy simulations (LES) to predict a series of turbulent premixed-stratified flames with and without shear and stratification. The thickened reaction progress variable serves as reference variable for the multiple mapping conditioning (MMC) mixing model which emulates turbulent mixing of the stochastic particles. The key feature of MMC is to enforce localness in this reference space when particle pairs are mixed and prevents unphysical mixing of burnt and unburnt fluid across the flame front. We apply MMC-ATF to three flames of a series of turbulent stratified flames and validate the method by comparison with experimental data. The new measurements feature increased accuracy in comparison to previously published data of the same flames due to a better signal-to-noise ratio and a setup which is less prone to beam steering. All flame locations are well predicted by the LES-ATF approach and an analysis of the MMC particle statistics demonstrates that MMC preserves the flamelet-like behaviour in regions where the experiments show low scatter around the flamelet solution. Predicted (local) deviations from the flamelet-solution are comparable to deviations observed in the measurements and variations in the flame structure due to differences in stratification and shear are reasonably well captured by the method.},
doi = {10.1016/j.proci.2018.07.033},
journal = {Proceedings of the Combustion Institute},
number = 2,
volume = 37,
place = {United States},
year = {2018},
month = {9}
}

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