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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

DROPLET SHADOW VELOCIMETRY BASED ON MONOFRAME TECHNIQUE

卷 28, 册 7, 2018, pp. 581-598
DOI: 10.1615/AtomizSpr.2018026448
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摘要

Monoframe droplet shadow velocimetry (mf-DSV) is a cost-effective method in the quality control process of the injectors. In this method, the planar (2D) velocity of the droplets is measured by tracking the droplets in a volumetric illumination, known as shadowgraphy technique. An image with two footprints of each droplet in time lapse of two light pulses is used to determine the displacement/velocity. The mf-DSV method could be established by a much less expensive setup than the traditional velocimetry method. A high-power LED-based light source and ordinary camera without capability of double shutter mode are the requirements of this method. In this paper, different stages of image processing including binarization, clustering and diagnostics of droplets pair, and final screening are explained in detail. The challenge of out-of-focus droplets in the shadowgraphy technique is solved by using an accurate method to predict the real size of the droplets. After analyzing the errors raised in the mf-DSV method, a number of dummy and binary images are used to verify the search algorithm for droplet pair detection. Comparing the exact velocity with, that obtained by mf-DSV indicates that the relative error originating from overlapped droplets and their elimination for velocimetry is about 0.2%. The simultaneous measurement of velocity and diameter distributions of a pressure swirl atomizer confirms the performance of mf-DSV in droplet velocimetry and sizing, especially in the secondary atomization with dilute conditions.

对本文的引用
  1. Shafaee Mazyar, Elkaie Abbas, Hassani Mohammad Amin, Experimental investigation on fluid structure and full-cone spray characteristics of a jet-swirl atomizer using shadowgraph technique, Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 236, 8, 2022. Crossref

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