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International Journal for Multiscale Computational Engineering

 

ISSN for PRINT: 1543-1649

Institutional price:

$747.00

Issues per year:

6

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Best Paper Award Selection - Editorial Board Site

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2006, Volume4

Issue 5-6

  271 pages  

DOI: 10.1615/IntJMultCompEng.v4.i5-6   

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  • Discrete Bubble Modeling of Unsteady Cavitating Flow
  • Zhiliang Xu
    Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973-5000

    Myoungnyoun Kim
    Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973-5000

    Tianshi Lu
    Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973-5000, USA

    Wonho Oh
    Department of Applied Mathematics and Statistics, University at Stony Brook, Stony Brook, NY 11794-3600

    James Glimm
    Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973; and Department of Applied Mathematics and Statistics, SUNY at Stony Brook, Stony Brook, NY 11794, USA

    Roman Samulyak
    Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973, USA

    Xiaolin Li
    Department of Applied Mathematics and Statistics, University at Stony Brook, Stony Brook, NY 11794-3600

    Constantine Tzanos
    Department of Nuclear Engineering, Argonne National Laboratory, 9700 S. Cass Avenue, Argonne, IL 60439, USA


    ABSTRACT

    A discrete vapor bubble model is developed to simulate unsteady cavitating flows. In this model, the mixed vapor-liquid mixture is modeled as a system of pure phase domains (vapor and liquid) separated by free interfaces. On the phase boundary, a numerical solution for the phase transition is developed for compressible flows. This model is used to study the effect of cavitation bubbles on atomization, i.e., the breakup of a high-speed jet and spray formation. The major conclusion is that a multiscale (three-scale) model is sufficient to achieve agreement with quantitative macroscale flow parameters, such as spray opening angle and spray volume fraction or density, or as a qualitative measure, the occurrence of spray formation. The authors believe this to be the first numerical study of the atomization process at such a level of detail in modeling of the related physics.

    DOI: 10.1615/IntJMultCompEng.v4.i5-6.40

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