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Atomization and Sprays
Editor-in-Chief Europe: Günter Brenn (open in a new tab)
Editor-in-Chief Americas: Marcus Herrmann (open in a new tab)
Редактор-основатель: Norman Chigier (open in a new tab)

Выходит 12 номеров в год

ISSN Печать: 1044-5110

ISSN Онлайн: 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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EXPERIMENTAL STUDY AND NEURAL NETWORK MODELING OF THE LIGAMENT DISINTEGRATION IN ROTARY ATOMIZATION

Том 12, Выпуск 1-3, 2002, pp. 107-121
DOI: 10.1615/AtomizSpr.v12.i123.60
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Краткое описание

An experimental study of the droplet sizes generated by a liquid ligament emerging from a rotary atomizer is described. A high-speed-shutter CCD camera was used to observe the ligament path, the ligament thinning, and the breakup. Droplet sizes were measured with laser diffraction technique. The atomizer consisted of a rotating drum with a small orifice at the lateral surface. Due to the experimental setup, the radial and tangential velocity components of the emerging ligament can be varied independently. The experimental work was carried out with variation of rotational speed, mass flow rate, and fluid composition (mixtures of water, glycerol, and surfactant). A neural network (NN) was applied to model and simulate the droplet diameter for different operating conditions, showing good agreement with the measured values. Based on the NN predictions of the system behavior, the model was used as a tool to detect outliers in the experimental data.

ЦИТИРОВАНО В
  1. Heinlein J., Schulte G., Fritsching U., Guardani R., Mapping the structure of a liquid spray by means of neural networks, Chemical Engineering and Processing: Process Intensification, 46, 12, 2007. Crossref

  2. Teixeira Antonio Carlos S. C., Guardani Roberto, Nascimento Claudio A. O., Solar Photochemical Degradation of Aminosilicones Contained in Liquid Effluents. Process Studies and Neural Network Modeling, Industrial & Engineering Chemistry Research, 42, 23, 2003. Crossref

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