Since it was first proposed, the direct quadrature method of moments (DQMOM) has been employed for the solution of population balance equations in a wide range of applications. One of its most interesting features is that it can be easily employed for the solution of multivariate population balances, which are often necessary to obtain complete information on the particle population under study. In addition, DQMOM can be easily implemented in computational fluid dynamic (CFD) codes, and requires low computational costs. A bivariate formulation of the population balance equation that is particularly suited for modeling nanoparticles formation in flames is presented. The use of DQMOM for the solution of bivariate population balances is explored in detail, and the method is validated by comparison with simulations carried out with a code based on Monte Carlo methods (MCM). Particular attention is devoted to the choice of the moments to be tracked in DQMOM, in order to obtain a stable algorithm and reliable and accurate results. Eventually the method is implemented in a commercial CFD code, and a real application is studied: soot nanoparticles formation in turbulent combustion processes.

Validation of bivariate DQMOM for nanoparticle processes simulation / Zucca, Alessandro; Marchisio, Daniele; Vanni, Marco; Barresi, Antonello. - In: AICHE JOURNAL. - ISSN 0001-1541. - STAMPA. - 53:4(2007), pp. 918-931. [10.1002/AIC.11125]

Validation of bivariate DQMOM for nanoparticle processes simulation

ZUCCA, Alessandro;MARCHISIO, DANIELE;VANNI, Marco;BARRESI, Antonello
2007

Abstract

Since it was first proposed, the direct quadrature method of moments (DQMOM) has been employed for the solution of population balance equations in a wide range of applications. One of its most interesting features is that it can be easily employed for the solution of multivariate population balances, which are often necessary to obtain complete information on the particle population under study. In addition, DQMOM can be easily implemented in computational fluid dynamic (CFD) codes, and requires low computational costs. A bivariate formulation of the population balance equation that is particularly suited for modeling nanoparticles formation in flames is presented. The use of DQMOM for the solution of bivariate population balances is explored in detail, and the method is validated by comparison with simulations carried out with a code based on Monte Carlo methods (MCM). Particular attention is devoted to the choice of the moments to be tracked in DQMOM, in order to obtain a stable algorithm and reliable and accurate results. Eventually the method is implemented in a commercial CFD code, and a real application is studied: soot nanoparticles formation in turbulent combustion processes.
File in questo prodotto:
File Dimensione Formato  
aiche2007.pdf

non disponibili

Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 919.09 kB
Formato Adobe PDF
919.09 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/1397675
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo