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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

A NUMERICAL METHOD FOR ANALYSIS OF SPRAY BEHAVIOR WITH DESIGN OF EXPERIMENT

Volumen 24, Ausgabe 11, 2014, pp. 1017-1033
DOI: 10.1615/AtomizSpr.2014010997
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ABSTRAKT

The purpose of the present study is to optimize the diesel engine injector. Discharge of many cavitation bubbles and high injection velocity were set up for the design purpose. Injector optimization was progressed through computational fluid dynamics (CFD) and the design of the experiment was used to study the interior of the injector. ANSYS CFX 13.0 was used as the CFD tool to perform the CFD analysis of 16 experimental cases; these include four cases of each design variable; the hole diameter, the hole length, the hole angle, and the K factor. The results of the analysis show that the largest impact on the cavitation comes from the K factor, and the injection velocity dominantly depends on the hole diameter. The optimum injector derived based on these results has the size of 2, 4, 4, and 4 levels, respectively, for the hole diameter, the hole length, the hole angle, and the K factor. For the injection velocity of 460 m/s, it gives the best performance when 36% volume fraction of cavitation bubbles are injected.

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