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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

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BUBBLE DYNAMICS MODEL FOR PREDICTING THE GROWTH AND COLLAPSE OF CAVITATION BUBBLES IN DIESEL INJECTOR

Volume 24, Issue 10, 2014, pp. 915-935
DOI: 10.1615/AtomizSpr.2014010989
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ABSTRACT

This paper investigates the applicability of the existing bubble dynamics models, i.e., the Rayleigh−Plesset (RP) equation and the simplified RP, which is called the Rayleigh (R) equation in the following, to the prediction of the growth and collapse of cavitation bubbles in a diesel fuel injector. We propose the modified Rayleigh (MR) equation, which improves drawbacks of the former models. The agreement between calculated and measured bubble radii confirmed the validity of the RP equation. Numerical calculations are performed for various cases, such as a water injection at low injection pressure and a diesel fuel injection at high injection pressure. The proposed MR equation is confirmed to satisfy (i) low computational cost by using a large time step, (ii) avoiding a large numerical error using large time steps, and (iii) good estimations of the growth and collapse rates of cavitation bubbles under various pressure conditions.

CITED BY
  1. Biçer Barış, Sou Akira, Application of the improved cavitation model to turbulent cavitating flow in fuel injector nozzle, Applied Mathematical Modelling, 40, 7-8, 2016. Crossref

  2. Ghorbani Morteza, Sadaghiani Abdolali Khalili, Yidiz Mehmet, Koşar Ali, Experimental and numerical investigations on spray structure under the effect of cavitation phenomenon in a microchannel, Journal of Mechanical Science and Technology, 31, 1, 2017. Crossref

  3. Liu Hong, Cai Chang, Xi Xi, Yan Yan'an, Jia Ming, A novel model for the bubble growth in the cavitation region of an injector nozzle, International Journal of Heat and Mass Transfer, 119, 2018. Crossref

  4. Sun Yubiao, Guan Zhiqiang, Hooman Kamel, Cavitation in Diesel Fuel Injector Nozzles and its Influence on Atomization and Spray, Chemical Engineering & Technology, 42, 1, 2019. Crossref

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