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Atomization and Sprays

Publication de 12  numéros par an

ISSN Imprimer: 1044-5110

ISSN En ligne: 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 PREDICTIVE MODEL FOR DROPLET SIZE DISTRIBUTION IN SPRAYS

Volume 9, Numéro 1, 1999, pp. 29-50
DOI: 10.1615/AtomizSpr.v9.i1.20
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RÉSUMÉ

Spray combustion remains the dominant mode of energy conversion, providing the majority of the world's energy requirements. A good understanding of spray formation processes and spray droplet size distributions is essential for the design and operation of spray combustion systems with high energy efficiency and low pollutant emissions. The early stage of the spray formation process is clearly deterministic, with distinct unstable wave motion, whereas the final stage of spray formation process is more or less random, chaotic, and stochastic due to nonlinear effects of the unstable wave development. The number of droplets produced in a spray is enormous, and the description of each individual droplet becomes highly improbable, thus requiring a statistical treatment. The present model incorporates the deterministic aspect through the linear and nonlinear stability theory, and the stochastic aspect through the maximum entropy principle. It can predict, from a given flow condition at the nozzle exit, the spray formation process and the probability distribution of subsequently formed droplets in sprays. The effect of flow conditions at the nozzle exit on the droplet size distributions has been investigated. The present predictive model gives the initial distribution of droplet diameters and velocities in sprays, and hence will be useful as a submodel for overall spray combustion modeling.

CITÉ PAR
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