Constant number Monte Carlo simulation of population balances with multiple growth mechanisms

Samira Khalili, Yulan Lin, Antonios Armaou, Themis Matsoukas

Research output: Contribution to journalArticle

24 Scopus citations

Abstract

We present a complete simulation scheme for particulate processes based on the constant number Monte Carlo methodology. Specifically, the proposed scheme can be applied towards the solution of population balances that include nucleation, coagulation and surface deposition, coupled to chemical reactions. The synthesis of titania (TiO 2) by flame oxidation of TiCl 4 is employed as a comparison basis of the relative advantages and weaknesses of Monte Carlo against more classical numerical approaches.

Original languageEnglish (US)
Pages (from-to)3137-3145
Number of pages9
JournalAICHE Journal
Volume56
Issue number12
DOIs
StatePublished - Dec 1 2010

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All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Biotechnology
  • Environmental Engineering

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