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Atomization and Sprays

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ISSN Druckformat: 1044-5110

ISSN Online: 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

EFFECTS OF FLOW PATTERN ON THE BREAKUP LENGTH OF CIRCULAR AIR-ASSISTED WATER JETS

Volumen 28, Ausgabe 9, 2018, pp. 763-777
DOI: 10.1615/AtomizSpr.2018027053
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ABSTRAKT

The effects of flow pattern on the breakup length of circular air-assisted water jets are investigated by varying, independently from other flow parameters, the air-water flow patterns within small diameter tubes. A Y-type mixer and a coaxial needle-type mixer are used to generate air-assisted jets. Maps of the flow pattern transitions are presented using both mixer types. Liquid-only and air-assisted jets in the Rayleigh and first wind-induced breakup regimes are observed. Bubbly, bubbly-slug, slug, and slug-annular flow patterns are observed. Disperse-bubbly flow is shown to result in longer jet breakup length when compared to other flow patterns having the same flow parameters. High-speed visualization of jet breakup reveals how the flow pattern influences the dominant jet breakup mechanism. Linear jet stability is used to predict the jet breakup length based on the liquid Weber number, Ohnesorge number, and volumetric void fraction when the flow pattern is disperse-bubbly and bubbly-slug.

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