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Erschienen in: Flow, Turbulence and Combustion 2-3/2020

07.01.2020

Analysis of the Soot Particle Size Distribution in a Laminar Premixed Flame: A Hybrid Stochastic/Fixed-Sectional Approach

verfasst von: Alexandre Bouaniche, Jerome Yon, Pascale Domingo, Luc Vervisch

Erschienen in: Flow, Turbulence and Combustion | Ausgabe 2-3/2020

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Abstract

The numerical simulation of the soot particle size distribution in flames is addressed by solving the balance equations for total number density and the probability density function of particle sizes, leading to a hybrid stochastic/fixed-sectional method for solving soot population balance equation. Well established models are introduced in these equations for the chemistry of PAH in ethylene combustion, for particle nucleation, growth, agglomeration and oxidation. These closures are combined with a stochastic approach, which drives the evolution of a fixed number of computational particles used to solve for the particle size distribution with a control of agglomeration and numerical roundoff error through a fixed sectional discretisation. A laminar sooting flame is simulated to compare the results against measurements and previous numerical simulations, confirming the validity of the novel approach in terms of accuracy and CPU efficiency. The relation between the mobility diameter, measured in the experiments, and the equivalent sphere diameter, introduced in the modeling, is discussed under this novel numerical framework. The influence of the fractal particle shape on the simulated particle size distribution is explored. Finally, Particle Size Distributions obtained from the hybrid method are compared to the ones obtained with a representative fixed-sectional method.

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Metadaten
Titel
Analysis of the Soot Particle Size Distribution in a Laminar Premixed Flame: A Hybrid Stochastic/Fixed-Sectional Approach
verfasst von
Alexandre Bouaniche
Jerome Yon
Pascale Domingo
Luc Vervisch
Publikationsdatum
07.01.2020
Verlag
Springer Netherlands
Erschienen in
Flow, Turbulence and Combustion / Ausgabe 2-3/2020
Print ISSN: 1386-6184
Elektronische ISSN: 1573-1987
DOI
https://doi.org/10.1007/s10494-019-00103-2

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