A coupled LES-Monte Carlo method for simulating aerosol dynamics in a turbulent planar jet

Hongmei Liu, Tat Leung Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

Abstract

Purpose: The purpose of this paper is to study the evolution and growth of aerosol particles in a turbulent planar jet by using the newly developed large eddy simulation (LES)-differentially weighted operator splitting Monte Carlo (DWOSMC) method. Design/methodology/approach: The DWOSMC method is coupled with LES for the numerical simulation of aerosol dynamics in turbulent flows. Findings: Firstly, the newly developed and coupled LES-DWOSMC method is verified by the results obtained from a direct numerical simulation-sectional method (DNS-SM) for coagulation occurring in a turbulent planar jet from available literature. Then, the effects of jet temperature and Reynolds number on the evolution of time-averaged mean particle diameter, normalized particle number concentration and particle size distributions (PSDs) are studied numerically on both coagulation and condensation processes. The jet temperature and Reynolds number are shown to be two important parameters that can be used to control the evolution and pattern of PSD in an aerosol reactor. Originality/value: The coupling between the Monte Carlo method and turbulent flow still encounters many technical difficulties. In addition, the relationship between turbulence, particle properties and collision kernels of aerosol dynamics is not yet well understood due to the theoretical limitations and experimental difficulties. In the present study, the developed and coupled LES-DWOSMC method is capable of solving the aerosol dynamics in turbulent flows.

Original languageEnglish
Pages (from-to)855-881
Number of pages27
JournalInternational Journal of Numerical Methods for Heat and Fluid Flow
Volume30
Issue number2
DOIs
Publication statusPublished - 7 Sep 2019

Keywords

  • Aerosol dynamics
  • Differentially weighted operator splitting Monte Carlo
  • Jet temperature and Reynolds number
  • Particle size distribution
  • Turbulent flow

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering
  • Computer Science Applications
  • Applied Mathematics

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