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Journal of Flow Visualization and Image Processing
Главный редактор: Krishnamurthy Muralidhar (open in a new tab)

Выходит 4 номеров в год

ISSN Печать: 1065-3090

ISSN Онлайн: 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

VISUALIZATION OF THE EVAPORATION AND CONDENSATION PHENOMENA IN CRYOGENIC PROPELLANTS

Том 23, Выпуск 1-2, 2016, pp. 137-156
DOI: 10.1615/JFlowVisImageProc.2017020115
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Краткое описание

Prediction and control of evaporation/condensation of cryogenic propellants is one of the key factors limiting long-term space missions. Modeling propellant behavior and predicting phase change rates require models that need to be calibrated with experimental data. However, no such data is available on controlled phase change of cryogenic propellants. In this work, neutron imaging is employed as a means to visualize the condensed propellant inside opaque metallic containers at temperatures as low as 17 K. By controlling the temperature and pressure, a wide variety of phase change rates could be obtained. An exponential attenuation model is used to accurately determine the liquid–wall interface. Two methods of determining liquid volume as a function of time are described and compared. The interface tracking method uses an adaptive threshold edge detection and fit to the Young–Laplace equation while the optical density method calculates the liquid thickness for every pixel based on the Beer–Lambert law with a beam hardening correction. The former method is applicable only in images that have a fully formed meniscus whereas the latter method can be used on all images despite the shape/location of the liquid in the cell. Uncertainty in volume measurement with the optical density method is 6% lower than with the interface tracking method, and the results are in excellent agreement. In addition to volume, optical density method can be used to measure thickness of the thin liquid film on the wall of the container. For steady states, the interface tracking method will suffice but the optical density method is useful for high-accuracy volume measurements and thin film analysis.

ЦИТИРОВАНО В
  1. Bellur K., Médici E.F., Hermanson J.C., Choi C.K., Allen J.S., Determining solid-fluid interface temperature distribution during phase change of cryogenic propellants using transient thermal modeling, Cryogenics, 91, 2018. Crossref

  2. Srikanth Praveen, Collicott Steven H., Estimation of Thin-Film Contribution in Phase Change Calculations Involving Cryogenic Propellants, Journal of Spacecraft and Rockets, 56, 5, 2019. Crossref

  3. Bellur Kishan, Médici Ezequiel F., Choi Chang Kyoung, Hermanson James C., Allen Jeffrey S., Multiscale approach to model steady meniscus evaporation in a wetting fluid, Physical Review Fluids, 5, 2, 2020. Crossref

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