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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

Indexed in

MULTIPLE SCATTERING AND SIZE DISTRIBUTION EFFECTS ON THE PERFORMANCE OF A LASER DIFFRACTION PARTICLE SIZER

Volume 3, Issue 3, 1993, pp. 311-320
DOI: 10.1615/AtomizSpr.v3.i3.40
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ABSTRACT

The effect of multiple scattering on the performance of the Malvern particle sizer was studied experimentally. Two particle samples with the same volume median diameter but with different size distributions were used in the experiments. One sample could be described by a log-normal distribution function, the other by a Rosin-Rammler distribution function. The particle samples were specifically designed to simulate drop size distributions in liquid sprays.
The model-independent, log-normal, and Rosin-Rammler models were used in the data analysis, and the results were compared. It was found that even when the sample concentration was low and multiple scattering did not occur, the results obtained with the log-normal and Rosin-Rammler models could be misleading, particularly in the high end of the distribution (large particles). When the log-normal test sample was used, the data analysis with the model-independent and log-normal models gave good results, but the data analysis with the Rosin-Rammler model seriously underestimated the fraction of large particles. When the Rosin-Rammler test sample was used, the data analysis with the model-independent and Rosin-Rammler models gave good results, but the data analysis with the log-normal model seriously overestimated the fraction of large particles.
When the sample concentration is high and multiple scattering occurs, data analysis with the model-independent model is not feasible. Correction equations are available in literature for data analysis with the log-normal and Rosin-Rammler models. It was found that when the correction equations were used, both the log-normal and Rosin-Rammler models provided the mean particle size reasonably well. However, there were considerable difficulties in the high end of the distribution. This was not surprising, since the experiments with a low particle concentration had already shown that the data analysis with the log-normal and Rosin-Rammler models can produce misleading results.

CITED BY
  1. Lee Black David, McQuay Mardson Queiroz, Bonin Michel P., Laser-based techniques for particle-size measurement: A review of sizing methods and their industrial applications, Progress in Energy and Combustion Science, 22, 3, 1996. Crossref

  2. Picot J. J. C., Kristmanson D. D., Spray Aircraft and Atomizers, in Forestry Pesticide Aerial Spraying, 12, 1997. Crossref

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