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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

CHARACTERIZATION OF TRAJECTORY, BREAK POINT, AND BREAK POINT DYNAMICS OF A PLAIN LIQUID JET IN A CROSSFLOW

Volumen 21, Edición 3, 2011, pp. 203-219
DOI: 10.1615/AtomizSpr.2011002848
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SINOPSIS

The injection of a plain liquid jet into a gaseous crossflow has been studied extensively. Empirical models describing the aspects of the breakup, penetration, and dispersion of the liquid jet have been developed based on experimental data. In recent years, however, more sophisticated simulation approaches such as surface-tracking methods have evolved, and as a result, a richer database for assessing accuracy is of great interest. In parallel, advancements in imaging diagnostic that can capture details regarding the breakup processes have occurred, creating an opportunity to provide new types of results that can be used for model validation. While imaging methods are convenient to apply, extraction of the necessary quantitative information to compare directly with advanced simulation methods requires considerable effort. Due to the vast amounts of data that can be generated in a matter of seconds, manual analysis of the images obtained can be tedious. As a result, automated methodologies for extracting this information are necessary. The present work describes the application of automated processing routines to the breakup of a plain liquid jet in a crossflow under varying conditions. The results extracted are used to generate correlations for column break point time, trajectory, and the dynamics of the breakup and liquid column characteristics. The correlations are compared with prior expressions generally derived from much smaller datasets and found to exhibit some significant differences, particularly with respect to the break time. These expressions can be incorporated into atomization models within computational fluid dynamics packages or as part of a standalone atomization model.

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