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Modeling soot formation in premixed flames using an Extended Conditional Quadrature Method of Moments

Salenbauch, S. and Cuoci, A. and Frassoldati, A. and Saggese, C. and Faravelli, T. and Hasse, C. (2015):
Modeling soot formation in premixed flames using an Extended Conditional Quadrature Method of Moments.
162, In: Combustion and Flame, (6), pp. 2529 - 2543, ISSN 0010-2180, DOI: 10.1016/j.combustflame.2015.03.002,
[Online-Edition: http://dx.doi.org/10.1016/j.combustflame.2015.03.002],
[Article]

Abstract

Abstract The scope of this study is the application of the recently developed univariate moment method Extended Quadrature Method of Moments (EQMOM) (Yuan et al., 2012) to model soot formation in flames. Furthermore, it is combined with another advanced moment approach, called the Conditional Quadrature Method of Moments (CQMOM) (Yuan and Fox, 2011), and this extension leads to a bivariate model. Retaining the efficiency of a moment method, {EQMOM} enables the reconstruction of the number density function. {CQMOM} is a numerically robust multivariate moment method which allows a bivariate soot particle description in terms of particle volume and surface to take into account aggregation. The joint Extended Conditional Quadrature Method of Moments (ECQMOM) model combines the advantages of the two methods to arrive at a numerically efficient bivariate moment method which captures both the particle size distribution and the formation of aggregates. Both the {EQMOM} and the {ECQMOM} model are validated against experimental results for premixed burner-stabilized ethylene flames. Thereby, the gas phase is modeled using a modified version of a very detailed, well-established kinetic scheme, which is adapted to be consistent with the moment methods introduced. The results demonstrate the suitability of the applied models to describe both soot precursors and soot evolution in flames. Furthermore, the ability of the moment approaches to represent the statistical soot model accurately is evaluated comparing {EQMOM} and {ECQMOM} to other numerical approaches, which are based on the Monte Carlo method, the standard Gaussian Quadrature Method of Moments and the Gaussian-Radau Quadrature Method of Moments, respectively.

Item Type: Article
Erschienen: 2015
Creators: Salenbauch, S. and Cuoci, A. and Frassoldati, A. and Saggese, C. and Faravelli, T. and Hasse, C.
Title: Modeling soot formation in premixed flames using an Extended Conditional Quadrature Method of Moments
Language: English
Abstract:

Abstract The scope of this study is the application of the recently developed univariate moment method Extended Quadrature Method of Moments (EQMOM) (Yuan et al., 2012) to model soot formation in flames. Furthermore, it is combined with another advanced moment approach, called the Conditional Quadrature Method of Moments (CQMOM) (Yuan and Fox, 2011), and this extension leads to a bivariate model. Retaining the efficiency of a moment method, {EQMOM} enables the reconstruction of the number density function. {CQMOM} is a numerically robust multivariate moment method which allows a bivariate soot particle description in terms of particle volume and surface to take into account aggregation. The joint Extended Conditional Quadrature Method of Moments (ECQMOM) model combines the advantages of the two methods to arrive at a numerically efficient bivariate moment method which captures both the particle size distribution and the formation of aggregates. Both the {EQMOM} and the {ECQMOM} model are validated against experimental results for premixed burner-stabilized ethylene flames. Thereby, the gas phase is modeled using a modified version of a very detailed, well-established kinetic scheme, which is adapted to be consistent with the moment methods introduced. The results demonstrate the suitability of the applied models to describe both soot precursors and soot evolution in flames. Furthermore, the ability of the moment approaches to represent the statistical soot model accurately is evaluated comparing {EQMOM} and {ECQMOM} to other numerical approaches, which are based on the Monte Carlo method, the standard Gaussian Quadrature Method of Moments and the Gaussian-Radau Quadrature Method of Moments, respectively.

Journal or Publication Title: Combustion and Flame
Volume: 162
Number: 6
Uncontrolled Keywords: Soot modeling
Divisions: 16 Department of Mechanical Engineering > Simulation of reactive Thermo-Fluid Systems (STFS)
16 Department of Mechanical Engineering
Date Deposited: 03 Nov 2017 07:42
DOI: 10.1016/j.combustflame.2015.03.002
Official URL: http://dx.doi.org/10.1016/j.combustflame.2015.03.002
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