The simulation of soot formation in turbulent diffusion flames is carried out within a CFD code, by coupling kinetics and fluid dynamics computations with the solution of the population balance equation via the Direct Quadrature Method of Moments, a novel and efficient approach based on a quadrature approximation of the size distribution of soot particles. A turbulent non-premixed ethylene–air flame is used as the test case for validation of the model. Simplified kinetic expressions are employed for modelling nucleation, molecular growth and oxidation of particles, along with a Brownian aggregation kernel. A recently proposed approach for modelling the evolution of fractal dimension is used with a monovariate population balance to predict the morphological properties of aggregates.

Implementation of the population balance equation in CFD codes for modelling soot formation in turbulent flames / Zucca, Alessandro; Marchisio, Daniele; Barresi, Antonello; Fox, R. O.. - In: CHEMICAL ENGINEERING SCIENCE. - ISSN 0009-2509. - 61:1(2006), pp. 87-95. [10.1016/j.ces.2004.11.061]

Implementation of the population balance equation in CFD codes for modelling soot formation in turbulent flames

ZUCCA, Alessandro;MARCHISIO, DANIELE;BARRESI, Antonello;
2006

Abstract

The simulation of soot formation in turbulent diffusion flames is carried out within a CFD code, by coupling kinetics and fluid dynamics computations with the solution of the population balance equation via the Direct Quadrature Method of Moments, a novel and efficient approach based on a quadrature approximation of the size distribution of soot particles. A turbulent non-premixed ethylene–air flame is used as the test case for validation of the model. Simplified kinetic expressions are employed for modelling nucleation, molecular growth and oxidation of particles, along with a Brownian aggregation kernel. A recently proposed approach for modelling the evolution of fractal dimension is used with a monovariate population balance to predict the morphological properties of aggregates.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/1397673
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