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Atomization and Sprays

Published 12 issues per year

ISSN Print: 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

METHODOLOGY FOR MODEL DISCRIMINATION AND CRITICISM FOR LIQUID ATOMIZATION DATA

Volume 8, Issue 4, 1998, pp. 363-392
DOI: 10.1615/AtomizSpr.v8.i4.10
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ABSTRACT

The present work establishes a methodology used to conduct a comparative study of various probability distributions generally used to describe liquid spray atomization data. This methodology involves model discrimination and criticism, as well as random sampling used to obtain objective criteria for choosing among rival models. Examples, representing different atomization mechanisms, are given for the determination of the relative posterior probabilities of candidate models and for their goodness of fit when models are fitted to a common data set. The methodology has been extended to include unreplicated data in addition to replicated data. The end result is presented in a form suitable for formulating empirical models of spray size distributions, with the intent of incorporating such models into multidimensional, two-phase flow simulations.

CITED BY
  1. Lindgren Ronny, Denbratt Ingemar, Modelling Gasoline Spray-wall Interaction -a Review of Current Models, SAE Technical Paper Series, 1, 2000. Crossref

  2. Stanton Donald W., Lippert Andreas M., Reitz Rolf D., Rutland Christopher, Influence of Spray-Wall Interaction and Fuel Films on Cold Starting in Direct Injection Diesel Engines, SAE Technical Paper Series, 1, 1998. Crossref

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