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Atomization and Sprays

Publicado 12 números por año

ISSN Imprimir: 1044-5110

ISSN En Línea: 1936-2684

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: 1.2 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: 1.8 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: 0.3 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: 0.00095 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: 0.28 SJR: 0.341 SNIP: 0.536 CiteScore™:: 1.9 H-Index: 57

Indexed in

VALIDATION OF THE VSB2 SPRAY MODEL AGAINST SPRAY A AND SPRAY H

Volumen 26, Edición 8, 2016, pp. 775-798
DOI: 10.1615/AtomizSpr.2015011670
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SINOPSIS

The modeling of spray breakup and evaporation is very complex, and several different models have been developed to describe the physical processes involved in these phenomena. However, problems of grid dependence, instability, and tuning issues remain to be adressed. Because the processes governing the breakup of dense sprays close to the nozzle are not fully understood, breakup models must be tuned to correctly predict vapor and liquid penetration, mixture fractions and their variances, droplet sizes, and so on. This work presents the Volvo Stochastic Blob and Bubble (VSB2) spray model and describes its performance in simulations of sprays A and H from the Engine Combustion Network (ECN). The predicted vapor penetration, liquid penetration, mixture fractions, and turbulence characteristics obtained using different computational grids and various simulated ambient conditions were analyzed. The VSB2 spray model accurately reproduced the experimental data for both sprays and correctly predicted their vapor and liquid penetration under various ambient conditions. The results demonstrate the importance of properly resolving the flow field. In addition, issues relating to spray modeling in general are discussed.

PALABRAS CLAVE: diesel, breakup, spray, CFD, OpenFOAM
CITADO POR
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