Computed soot distributions in laminar diffusion flames with varying composition of ethylene, hydrogen, and nitrogen are compared with measured distributions. The volumetric flow rate is kept fixed as the composition is varied. The ambient conditions are atmospheric. Soot distributions are computed using a semi-empirical model that solves two coupled equations for soot volume fraction (SFV) and soot number density. Differential diffusion of the gas species is accounted for by using mixture averaged effective diffusivities. An optically thin radiation model is used to account for gas and soot radiation. Computations and measurements show the same trends in soot amount and distribution. The effect of soot radiation on temperature is significant. As the semi-empirical soot models are dependent on the temperatures in the flame and the soot radiation is dependent on the amount and distribution of the soot in the flame – a three way coupling between soot radiation, temperature, and soot concentration makes the simulations challenging.

Comparisons of Computed and Measured Soot Distribution in Ethylene/Hydrogen/Nitrogen Laminar Diffusion Flames

MAGI, Vinicio;
2017-01-01

Abstract

Computed soot distributions in laminar diffusion flames with varying composition of ethylene, hydrogen, and nitrogen are compared with measured distributions. The volumetric flow rate is kept fixed as the composition is varied. The ambient conditions are atmospheric. Soot distributions are computed using a semi-empirical model that solves two coupled equations for soot volume fraction (SFV) and soot number density. Differential diffusion of the gas species is accounted for by using mixture averaged effective diffusivities. An optically thin radiation model is used to account for gas and soot radiation. Computations and measurements show the same trends in soot amount and distribution. The effect of soot radiation on temperature is significant. As the semi-empirical soot models are dependent on the temperatures in the flame and the soot radiation is dependent on the amount and distribution of the soot in the flame – a three way coupling between soot radiation, temperature, and soot concentration makes the simulations challenging.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/125534
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