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雾化与喷雾

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ISSN 打印: 1044-5110

ISSN 在线: 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

COMPARISONS BETWEEN EXPERIMENTS AND PREDICTIONS BASED ON MAXIMUM ENTROPY FOR THE BREAKUP OF A CYLINDRICAL LIQUID JET

卷 5, 册 6, 1995, pp. 603-620
DOI: 10.1615/AtomizSpr.v5.i6.50
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摘要

A motion analyzer was used to measure the size and velocity distributions of droplets generated by the disintegration of a cylindrical liquid jet. The breakup of the liquid jet under consideration contains satellite droplets interspersed among the primary droplets, thus resulting in a bimodal distribution in size. The integrated velocity distribution of droplets is not Gaussian. The maximum entropy principle is used to model this phenomenon. Agreement between the model and the measurements is reasonably good.

对本文的引用
  1. Kim Woo Tae, Mitra Sushanta K., Li Xianguo, Prociw L. A., Hu T. C. J., A Predictive Model for the Initial Droplet Size and Velocity Distributions in Sprays and Comparison with Experiments, Particle & Particle Systems Characterization, 20, 2, 2003. Crossref

  2. Babinsky E., Sojka P.E., Modeling drop size distributions, Progress in Energy and Combustion Science, 28, 4, 2002. Crossref

  3. Tharakan T. John, Mukhopadhyay Achintya, Datta Amitava, Jog Milind A., Trends in Comprehensive Modeling of Spray Formation, International Journal of Spray and Combustion Dynamics, 5, 2, 2013. Crossref

  4. Mitra S.K., Xianguo Li , A comprehensive model on spray formation process and probability distribution of subsequently formed spray droplets, IECEC-97 Proceedings of the Thirty-Second Intersociety Energy Conversion Engineering Conference (Cat. No.97CH6203), 1997. Crossref

  5. Dumouchel Christophe, The Maximum Entropy Formalism and the Prediction of Liquid Spray Drop-Size Distribution, Entropy, 11, 4, 2009. Crossref

  6. Chen Fanghui, Yapa Poojitha D., Estimating the Oil Droplet Size Distributions in Deepwater Oil Spills, Journal of Hydraulic Engineering, 133, 2, 2007. Crossref

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