Monte carlo simulation for soot dynamics

Kun Zhou

doi:10.2298/TSCI1205391Z

Monte carlo simulation for soot dynamics

Kun Zhou

Physical Sciences and Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

A new Monte Carlo method termed Comb-like frame Monte Carlo is developed to simulate the soot dynamics. Detailed stochastic error analysis is provided. Comb-like frame Monte Carlo is coupled with the gas phase solver Chemkin II to simulate soot formation in a 1-D premixed burner stabilized flame. The simulated soot number density, volume fraction, and particle size distribution all agree well with the measurement available in literature. The origin of the bimodal distribution of particle size distribution is revealed with quantitative proof.

Original language	English (US)
Pages (from-to)	1391-1394
Number of pages	4
Journal	Thermal Science
Volume	16
Issue number	5
DOIs	https://doi.org/10.2298/TSCI1205391Z
State	Published - 2012

ASJC Scopus subject areas

Renewable Energy, Sustainability and the Environment

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.2298/TSCI1205391Z

Cite this

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title = "Monte carlo simulation for soot dynamics",

abstract = "A new Monte Carlo method termed Comb-like frame Monte Carlo is developed to simulate the soot dynamics. Detailed stochastic error analysis is provided. Comb-like frame Monte Carlo is coupled with the gas phase solver Chemkin II to simulate soot formation in a 1-D premixed burner stabilized flame. The simulated soot number density, volume fraction, and particle size distribution all agree well with the measurement available in literature. The origin of the bimodal distribution of particle size distribution is revealed with quantitative proof.",

author = "Kun Zhou",

note = "KAUST Repository Item: Exported on 2020-10-01",

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AB - A new Monte Carlo method termed Comb-like frame Monte Carlo is developed to simulate the soot dynamics. Detailed stochastic error analysis is provided. Comb-like frame Monte Carlo is coupled with the gas phase solver Chemkin II to simulate soot formation in a 1-D premixed burner stabilized flame. The simulated soot number density, volume fraction, and particle size distribution all agree well with the measurement available in literature. The origin of the bimodal distribution of particle size distribution is revealed with quantitative proof.

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UR - http://www.doiserbia.nb.rs/Article.aspx?ID=0354-98361205391Z

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Monte carlo simulation for soot dynamics

Abstract

ASJC Scopus subject areas

UN SDGs

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