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Mixing Time Scale Models for Multiple Mapping Conditioning with Two Reference Variables

Straub, C.; Kronenburg, A. ; Stein, Oliver Thomas ORCID iD icon; Galindo-Lopez, S.; Cleary, M. J.

Abstract:

A novel multiple mapping conditioning (MMC) approach has been developed for the modelling of turbulent premixed flames including mixture inhomogeneities due to mixture stratification or mixing with the cold surroundings. MMC requires conditioning of a mixing operator on characteristic quantities (reference variables) to ensure localness of mixing in composition space. Previous MMC used the LES-filtered reaction progress variable as reference field. Here, the reference variable space is extended by adding the LES-filtered mixture fraction effectively leading to a double conditioning of the mixing operator. The model is used to predict a turbulent stratified flame and is validated by comparison with experimental data. The introduction of the second reference variable also requires modification of the mixing time scale. Two different mixing time scale models are compared in this work. A novel anisotropic model for stratified combustion leads to somewhat higher levels of fluctuations for the passive scalar when compared with the original model but differences remain small within the flame front. The results show that both models predict flame position and flame structure with good accuracy.


Verlagsausgabe §
DOI: 10.5445/IR/1000158674
Veröffentlicht am 12.05.2023
Originalveröffentlichung
DOI: 10.1007/s10494-020-00188-0
Scopus
Zitationen: 10
Web of Science
Zitationen: 12
Dimensions
Zitationen: 13
Cover der Publikation
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2021
Sprache Englisch
Identifikator ISSN: 1573-1987, 0365-7132, 0003-6994, 1386-6184, 2212-0939
KITopen-ID: 1000158674
Erschienen in Flow, Turbulence and Combustion
Verlag Springer Verlag
Band 106
Heft 4
Seiten 1143–1166
Vorab online veröffentlicht am 29.06.2020
Schlagwörter Mixing time scale model, Doubly conditioned MMC, Stratified flames, Sparse particle method, LES
Nachgewiesen in Dimensions
Web of Science
Scopus
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