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

Samira Khalili, Yulan Lin, Antonios Armaou, Themis Matsoukas

Research output: Contribution to journalArticlepeer-review

26 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 (TiO2) by flame oxidation of TiCl4 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

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Environmental Engineering
  • Chemical Engineering(all)

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