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International Journal for Multiscale Computational Engineering
Fator do impacto: 1.016 FI de cinco anos: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimir: 1543-1649
ISSN On-line: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.v4.i5-6.40
pages 601-616

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

RESUMO

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.


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