4.7 Article

Extension of a thickened flame model to highly stratified combustion-Application to a spark-ignition engine

Journal

COMBUSTION AND FLAME
Volume 236, Issue -, Pages -

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.combustflame.2021.111798

Keywords

Stratified combustion; Thickened flame model; Dynamic thickened flame model

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The extension to the dynamic thickened flame model allows for modeling of highly stratified combustion and accounts for spatial variations of flow and combustion metrics. The local thermodynamic formulation is used to calculate combustion parameters without relying on information from outside the computational cell. The model extension successfully reproduces in-cylinder flame behavior and burn rate in validation against experimental results.
An extension to the dynamic thickened flame model for large-eddy simulations (DTFLES) is presented, which allows modeling highly stratified combustion and accounts for spatial variations of flow and com-bustion metrics. The extension, called the stratified DTFLES (or SDTFLES) relies on a local thermodynamic formulation to calculate combustion parameters that are required for the thickened flame model, more specifically the wrinkling factor El. The advantage of this method is that model parameters are calculated locally without information from outside the computational cell. The extension is developed using user-defined functions in STAR-CD v4.2, and tested first in a baseline parametric study and then in a computa-tional four-valve direct-ignition spark-ignition engine operating in a highly-stratified late-injection mode. The large-eddy simulation (LES) results are compared to experimental results for validation purposes. The comparison covers the spatial variation of combustion parameters, qualitative flame progression, and quantitative in-cylinder pressure, indicated mean-effective pressure (IMEP), and heat release. The model extension is able to reproduce the in-cylinder flame behavior, wrinkling, and burn rate. (c) 2021 The Combustion Institute. Published by Elsevier Inc. All rights reserved.

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