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Journal of Flow Visualization and Image Processing

Publicou 4 edições por ano

ISSN Imprimir: 1065-3090

ISSN On-line: 1940-4336

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: 0.6 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: 0.6 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: 0.00013 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: 0.14 SJR: 0.201 SNIP: 0.313 CiteScore™:: 1.2 H-Index: 13

Indexed in

STRUCTURE OF UNDEREXPANDED SUPERSONIC JETS FROM AXISYMMETRIC LAVAL NOZZLES

Volume 25, Edição 1, 2018, pp. 33-46
DOI: 10.1615/JFlowVisImageProc.2018027034
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RESUMO

The rainbow schlieren deflectometry is combined with the computed tomography to obtain three-dimensional density fields of a shock-containing free jet issued from a Laval nozzle with a design Mach number of 1.5. Experiments have been performed at a nozzle operating pressure ratio of 4.0, where the nozzle is operated at a slightly underexpanded condition. Multidirectional rainbow schlieren pictures of the jet can be acquired by rotating the nozzle about its longitudinal axis in equal angular intervals and the three-dimensional density fields are reconstructed by two types of image analyses for experimental data. One is a data processing procedure based on the Abel inversion algorithm, and the other is that with the convolution back-projection algorithm. It is found that excellent quantitative agreement is reached between the jet three-dimensional density fields reconstructed from both algorithms. The present rainbow schlieren technique is found to be significantly effective to examine a fine shock-cell structure of the shock-containing jet and makes it possible to provide experimental data with high accuracy and reliability on the jet density field.

CITADO POR
  1. Maeda Shinnosuke, Nakao Shinichiro, Miyazato Yoshiaki, Three-dimensional fine structure of shock-containing free jets from supersonic square nozzles, AIAA Scitech 2019 Forum, 2019. Crossref

  2. Ezoe Masatoshi, Nakao Shinichiro, Miyazato Yoshiaki, Quantitative Flow Visualization by Rainbow Schlieren Deflectometry and Pitot Pressure Measurements for Leek Peeler Nozzle Jets, Journal of Flow Control, Measurement & Visualization, 07, 01, 2019. Crossref

  3. Sugawara Sotaro, Nakao Shinichiro, Miyazato Yoshiaki, Ishino Yojiro, Miki Kenji, Quantitative Flow Visualization of Slightly Underexpanded Microjets by Mach–Zehnder Interferometers, Flow, Turbulence and Combustion, 106, 3, 2021. Crossref

  4. Fukunaga Ryota, Ezoe Masatoshi, Nakao Shinichiro, Miyazato Yoshiaki, Application of rainbow schlieren tomography for shock-containing rectangular jets, Journal of Visualization, 25, 4, 2022. Crossref

  5. Takeshita T., Fukunaga R., Nakao S., Miyazato Y., Miki K., Quantitative flow diagnostics of shock trains by rainbow schlieren deflectometry, The Aeronautical Journal, 2022. Crossref

  6. Kriparaj K. G., Roy V. Paul, Tide P. S., Biju N., AN EXPERIMENTAL STUDY ON SHOCK CELL STRUCTURES OF UNDEREXPANDED JETS FROM CORRUGATED LOBED NOZZLES USING THE SCHLIEREN IMAGING TECHNIQUE , Journal of Flow Visualization and Image Processing, 29, 4, 2022. Crossref

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