Extension of the compressible PISO algorithm to single-species aerosol formation and transport

E.M.A. Frederix*, M. Staniç, A.K. Kuczaj, M. Nordlund, B.J. Geurts

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    15 Citations (Scopus)
    120 Downloads (Pure)

    Abstract

    In this paper, an Eulerian model for single-species aerosol production and transport is introduced, and solved using the Pressure Implicit with Splitting of Operators (PISO) algorithm. The aerosol droplets are described in terms of two moments of the droplet size distribution, i.e., the droplet number concentration and the liquid mass fraction. The compressible PISO algorithm for reacting flows is extended to incorporate the transport equations of these two moments. The scheme is applied to the simulation of vapor-to-droplet conversion in a Laminar Flow Diffusion Chamber (LFDC). In that setting, we show the numerical properties of the method for, first, carrier gas flow without the presence of vapor or droplets, and second, the production and evolution of aerosol droplets through nucleation and condensation. The method is shown to be second order in time and space. We adopt a TVD scheme the handle unphysical oscillations that may arise near sharp nucleation fronts. Good agreement is found with experimental data, in terms of the predicted temperature centerline profile (within 1%) and LFDC outlet droplet number concentration. The detailed validation and analysis of the model in combination with PISO may be used for more advanced aerosol modeling.
    Original languageEnglish
    Pages (from-to)184-194
    Number of pages11
    JournalInternational journal of multiphase flow
    Volume74
    DOIs
    Publication statusPublished - 30 Sept 2015

    Keywords

    • Compressible flow
    • Nucleation
    • Single-species
    • PISO
    • OpenFOAM®
    • Condensation
    • Aerosol
    • 2023 OA procedure

    Fingerprint

    Dive into the research topics of 'Extension of the compressible PISO algorithm to single-species aerosol formation and transport'. Together they form a unique fingerprint.

    Cite this