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Atomization and Sprays

年間 12 号発行

ISSN 印刷: 1044-5110

ISSN オンライン: 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

EXPERIMENTAL DATA AND NUMERICAL SIMULATION OF COMMON-RAIL ETHANOL SPRAYS AT DIESEL ENGINE-LIKE CONDITIONS

巻 19, 発行 4, 2009, pp. 357-386
DOI: 10.1615/AtomizSpr.v19.i4.40
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要約

Common-Rail ethanol sprays are experimentally investigated in a high-pressure vessel for pressures up to 50 bar and temperatures up to 800 K. Mie, Shadow, and Raman optical measurement techniques are used for the spray investigations. The experimental setup and the measurement techniques are described in detail. Detailed experimental results are presented for various vessel conditions. This includes liquid and gaseous penetration, spray angle of liquid and gaseous phase, liquid and vapor fuel mass fraction, liquid and vapor temperature, as well as Sauter mean radius. The experimental results provide a considerable dataset for numerical validation purposes. In addition to the experimental investigations, numerical simulations are carried out applying the commonly used discrete droplet model (DDM). A short review of the DDM including its inherent submodels is presented along with the simulation setup. Selected experimental results (liquid and gaseous penetration, liquid and vapor fuel mass fraction, liquid and vapor temperature, and Sauter mean radius) are compared to corresponding results obtained from the spray simulations to evaluate the performance of the DDM approach.

によって引用された
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