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Atomization and Sprays

年間 12 号発行

ISSN 印刷: 1044-5110

ISSN オンライン: 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

NUMERICAL MODELING AND PREDICTION OF PARTICLE SIZE DISTRIBUTION DURING GAS ATOMIZATION OF MOLTEN TIN

巻 26, 発行 1, 2016, pp. 23-51
DOI: 10.1615/AtomizSpr.2015011680
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要約

An axisymmetric computational fluid dynamics (CFD) model is developed to simulate molten tin atomization for producing metal powder. A pilot unit with a free-fall gas nozzle is also built to measure particle size distribution from experimental trials. The numerical results are compared with mass percentage and cumulative mass percentage of particle size distribution obtained from experimental sieve analysis of the sampled powder. The model includes two-way coupling of gas-metal interaction, secondary breakup of liquid metal droplets, and subsequent in-flight solidification in the whole atomization chamber. The powder particle size distribution is compared for a range of gas flow rates. The results of the simulation demonstrate the importance of two-way coupling and careful selection of turbulence and breakup models while predicting particle size distribution for the metal atomization process.

によって引用された
  1. Prashanth W.S., Thotarath Sabin Lal, Sarkar Supriya, Anand T.N.C., Bakshi Shamit, Experimental investigation on the effect of melt delivery tube position on liquid metal atomization, Advanced Powder Technology, 32, 3, 2021. Crossref

  2. Xu Jin-Xin, Chen Chao-Yue, Shen Lu-Yu, Xuan Wei-Dong, Li Xing-Gang, Shuai San-San, Li Xia, Hu Tao, Li Chuan-Jun, Yu Jian-Bo, Wang Jiang, Ren Zhong-Ming, Atomization mechanism and powder morphology in laminar flow gas atomization, Acta Physica Sinica, 70, 14, 2021. Crossref

  3. Sharma Shubham, Chandra Navin Kumar, Basu Saptarshi, Kumar Aloke, Advances in droplet aerobreakup, The European Physical Journal Special Topics, 2022. Crossref

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