Limitations of simplifed models to predict soot formation in laminar flames

Soot formation and radiation are important aspects for combustion problems. In this work, numerical simulations of ethylene cofow laminar flames are used to evaluate soot formation and radiation processes under diferent modeling approximations. Priority was given for models that were capable of prod...

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Detalles Bibliográficos
Autores: Zimmer, Leonardo, Pereira, Fernando Marcelo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Institución:Universidade Federal do Rio Grande do Sul (UFRGS)
Repositorio:Repositório Institucional da UFRGS
Idioma:inglés
OAI Identifier:oai:www.lume.ufrgs.br:10183/216265
Acceso en línea:http://hdl.handle.net/10183/216265
Access Level:acceso abierto
Palabra clave:Chamas laminares
Radiação térmica
Transferência de calor
Difusion flame
Soot modeling
Radiation
Descripción
Sumario:Soot formation and radiation are important aspects for combustion problems. In this work, numerical simulations of ethylene cofow laminar flames are used to evaluate soot formation and radiation processes under diferent modeling approximations. Priority was given for models that were capable of producing detailed information with reduced computational requirements. So, the objective of this work is to show and quantify the importance of heat loss by gas and soot radiation and to quantitatively show the impact of diferent transport models (a detailed and a simplifed) in soot predictions. For soot modeling, a semiempirical two-equation model is chosen for predicting soot mass fraction and number density. The model describes particle nucleation, surface growth and oxidation. For flame radiation, the radiant heat losses (gas and soot) are modeled by using the gray-gas approximation with optically thin approximation. For the chemical kinetics, a detailed approach is employed. It is found that gas and soot components of the radiative heat loss are comparable, with the gas radiation being larger (65%). To capture 99.9% of the total heat loss, the numerical domain has to be extended to 2.4 times the flame length based on the stoichiometric mixture fraction. Radiation modeling has a large impact on soot predictions. An error of 19% in the peak soot volume fraction is found when radiation is neglected. Errors due to simplifed transport properties are also around 21%.