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Journal of Flow Visualization and Image Processing

Publicado 4 números por año

ISSN Imprimir: 1065-3090

ISSN En Línea: 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

RAINBOW SCHLIEREN DEFLECTOMETRY FOR SCALAR MEASUREMENTS IN FLUID FLOWS

Volumen 25, Edición 3-4, 2018, pp. 329-357
DOI: 10.1615/JFlowVisImageProc.2018028312
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SINOPSIS

A number of distinctions between conventional schlieren and rainbow schlieren give rise to the qualitative versus quantitative nature of each technique. The present paper outlines these subtleties as well as provides a detailed discussion for the use and implementation of rainbow schlieren deflectometry (RSD) to obtain quantitative measurements in fluid flow systems. Mathematical relationships, numerical algorithms, system design criteria, hardware issues, calibrations, and other details needed for acquiring quantitative data are summarized with the purpose that a researcher can use this work as a guide to implement RSD. Application examples from prior works are highlighted to show the use of RSD to obtain scalar properties such as density, temperature, and mixture fraction in a wide array of fluid flow applications.

CITADO POR
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  5. 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

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  7. Laso Iker, Shen Si, Lefkowitz Joseph, Optimization of Energy Distribution in Nanosecond-Pulsed High-Frequency Discharge Ignition, AIAA SCITECH 2022 Forum, 2022. Crossref

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  9. Nagata Tatsuya, Islam Muhammad Minarul, Miyaguni Takeshi, Nakao Shinichiro, Miyazato Yoshiaki, Shock-cell spacings of underexpanded sonic jets emerging from elliptic nozzles, Experiments in Fluids, 63, 7, 2022. Crossref

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  11. 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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