Skip to Main content Skip to Navigation
Journal articles

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

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.
Complete list of metadatas

https://hal-normandie-univ.archives-ouvertes.fr/hal-02444666
Contributor : Jérôme Yon <>
Submitted on : Saturday, January 18, 2020 - 3:00:40 PM
Last modification on : Tuesday, May 5, 2020 - 9:20:18 AM

Identifiers

Citation

Alexandre Bouaniche, Jérôme Yon, Pascale Domingo, Luc Vervisch. Analysis of the Soot Particle Size Distribution in a Laminar Premixed Flame: A Hybrid Stochastic/Fixed-Sectional Approach. Flow, Turbulence and Combustion, Springer Verlag (Germany), 2020, pp.753-775. ⟨10.1007/s10494-019-00103-2⟩. ⟨hal-02444666⟩

Share

Metrics

Record views

77