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雾化与喷雾

每年出版 12 

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

A SECOND-ORDER NEWTON-RAPHSON METHOD FOR IMPROVED NUMERICAL STABILITY IN THE DETERMINATION OF DROPLET SIZE DISTRIBUTIONS IN SPRAYS

卷 16, 册 1, 2006, pp. 71-82
DOI: 10.1615/AtomizSpr.v16.i1.50
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摘要

The maximum entropy principle method has been very popular, and it has achieved reasonable success predicting droplet size and velocity distribution in sprays in the past two decades. The recently proposed method, maximization of entropy generation, takes into account the irreversibility during the atomization process, and is more consistent with the physics involved. Both of these methods generate models consisting of implicit, highly nonlinear equations involved with exponential functions and integrals. The classical Newton s method has traditionally been adopted as the solver; however, its inherent disadvantage is the requirement that the initial guess for the successive iteration in the numerical solution process be sufficiently close to the solution, otherwise the iteration may diverge rapidly. This study introduces a modification to the classical Newton's method with the Newton's second-order method and the successive under-relaxation (SUR) technique. Three other algorithms based on the Newton's method are also compared with the above methods. Results show that the proposed second-order Newton's method and the SUR technique can greatly improve the numerical stability and, indeed, relinquish the strict requirement on the initial guess.

对本文的引用
  1. Shamilov Aladdin, Kantar Yeliz Mert, Usta Ilhan, Use of MinMaxEnt distributions defined on basis of MaxEnt method in wind power study, Energy Conversion and Management, 49, 4, 2008. Crossref

  2. Dasgupta Debayan, Sharma Saurabh, Nath Sujit, Bhanja Dipankar, Effects of elasticity number and time constant ratio on breakup and droplet formation of viscoelastic planar liquid sheet co-flowing with gases of equal velocities, Journal of Fluid Mechanics, 920, 2021. Crossref

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