This paper presents a systematic investigation on the strategies required for modelling soot when performing CFD simulations of turbulent flames. The first test case consists in a 3D enclosure containing a mixture of N2, CO2, H2O and soot (Coelho, 2003). Results obtained with the gray implementation of the Discrete Ordinate Method in ANSYS Fluent are compared against literature data, assessing different formulations for the absorption coefficient of soot. These considerations are exploited through reactive RANS simulations accounting for radiative heat transfer, with the purpose to test different models for soot formation process on a turbulent non-premixed kerosene-air flame (Young et al., 1994).

Modelling soot production and thermal radiation for turbulent diffusion flames / Mazzei, Lorenzo*; Puggelli, Stefano; Bertini, Davide; Pampaloni, Daniele; Andreini, Antonio. - In: ENERGY PROCEDIA. - ISSN 1876-6102. - ELETTRONICO. - 126:(2017), pp. 826-833. (Intervento presentato al convegno 72nd Conference of the Italian Thermal Machines Engineering Association, ATI 2017 tenutosi a ita nel 2017) [10.1016/j.egypro.2017.08.266].

Modelling soot production and thermal radiation for turbulent diffusion flames

Puggelli, Stefano;Bertini, Davide;Pampaloni, Daniele;Andreini, Antonio
2017

Abstract

This paper presents a systematic investigation on the strategies required for modelling soot when performing CFD simulations of turbulent flames. The first test case consists in a 3D enclosure containing a mixture of N2, CO2, H2O and soot (Coelho, 2003). Results obtained with the gray implementation of the Discrete Ordinate Method in ANSYS Fluent are compared against literature data, assessing different formulations for the absorption coefficient of soot. These considerations are exploited through reactive RANS simulations accounting for radiative heat transfer, with the purpose to test different models for soot formation process on a turbulent non-premixed kerosene-air flame (Young et al., 1994).
2017
Energy Procedia
72nd Conference of the Italian Thermal Machines Engineering Association, ATI 2017
ita
2017
Mazzei, Lorenzo*; Puggelli, Stefano; Bertini, Davide; Pampaloni, Daniele; Andreini, Antonio
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1141495
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