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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Multiscale Computational Engineering
Импакт фактор: 1.016 5-летний Импакт фактор: 1.194 SJR: 0.452 SNIP: 0.68 CiteScore™: 1.18

ISSN Печать: 1543-1649
ISSN Онлайн: 1940-4352

Выпуски:
Том 17, 2019 Том 16, 2018 Том 15, 2017 Том 14, 2016 Том 13, 2015 Том 12, 2014 Том 11, 2013 Том 10, 2012 Том 9, 2011 Том 8, 2010 Том 7, 2009 Том 6, 2008 Том 5, 2007 Том 4, 2006 Том 3, 2005 Том 2, 2004 Том 1, 2003

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

Краткое описание

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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