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International Journal for Multiscale Computational Engineering

Published 6 issues per year

ISSN Print: 1543-1649

ISSN Online: 1940-4352

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.4 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.3 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 2.2 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00034 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.46 SJR: 0.333 SNIP: 0.606 CiteScore™:: 3.1 H-Index: 31

Indexed in

Discrete Bubble Modeling of Unsteady Cavitating Flow

Volume 4, Issue 5-6, 2006, pp. 601-616
DOI: 10.1615/IntJMultCompEng.v4.i5-6.40
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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.

CITED BY
  1. Bo Wurigen, Fix Brian, Glimm James, Li Xiaolin, Liu Xingtao, Samulyak R., Wu Lingling, FronTier and applications to scientific and engineering problems, PAMM, 7, 1, 2007. Crossref

  2. Lu T., Xu Z. L., Samulyak R., Glimm J., Ji X. M., Dynamic Phase Boundaries for Compressible Fluids, SIAM Journal on Scientific Computing, 30, 2, 2008. Crossref

  3. Lu Tianshi, Samulyak Roman, Glimm James, Direct Numerical Simulation of Bubbly Flows and Application to Cavitation Mitigation, Journal of Fluids Engineering, 129, 5, 2007. Crossref

  4. Gao Zheng, Charles Richard D., Li Xiaolin, Numerical Modeling of Flow Through Porous Fabric Surface in Parachute Simulation, AIAA Journal, 55, 2, 2017. Crossref

  5. Hong Feng, Yuan Jianping, Zhou Banglun, Li Zhong, Modeling of unsteady structure of sheet/cloud cavitation around a two-dimensional stationary hydrofoil, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 231, 3, 2017. Crossref

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