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雾化与喷雾

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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

PROPER ORTHOGONAL DECOMPOSITION ANALYSIS OF TURBULENT CRYOGENIC LIQUID JET INJECTION UNDER TRANSCRITICAL AND SUPERCRITICAL CONDITIONS

卷 28, 册 10, 2018, pp. 875-900
DOI: 10.1615/AtomizSpr.2018028999
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摘要

Liquid-rocket and high-pressure diesel engines operate at pressures and temperatures that exceed the critical pressure and temperature of the liquid fuels during injection. The turbulent flow features and turbulent fluctuations are impacted by the transition from subcritical to supercritical conditions that in turn affect the turbulent mixing between the fuel and oxidizer in the combustor. Three-dimensional large eddy simulations (LES) and the proper orthogonal decomposition (POD) algorithm are deployed to study the turbulent flow and dominant unstable flow modes at transcritical and supercritical conditions for cryogenic nitrogen jet injected into a warm nitrogen environment. By comparing the turbulent coherent structures, the effects of the transition from transcritical to supercritical conditions on mixing layer behavior are demonstrated. Real-gas thermodynamic properties at supercritical conditions are considered via implementing the cubic Peng–Robinson equation of state and Chung’s method for obtaining fluid transport properties. The numerical simulations at transcritical and supercritical conditions are validated by comparing the results with existing numerical and experimental data. The results show that the presence of large density gradients in the mixing layer at transcritical conditions smear out the turbulent coherent structures in the radial direction and as a result, turbulence shows anisotropic behavior near the mixing layer that retards the overall mixing process.

对本文的引用
  1. Magalhães Leandro, Carvalho Francisco, Silva André, Barata Jorge, Turbulence Modeling Insights into Supercritical Nitrogen Mixing Layers, Energies, 13, 7, 2020. Crossref

  2. Ningegowda Bittagowdanahalli Manjegowda, Rahantamialisoa Faniry Nadia Zazaravaka, Pandal Adrian, Jasak Hrvoje, Im Hong Geun, Battistoni Michele, Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model, Energies, 13, 21, 2020. Crossref

  3. Magalhaes Leandro B., Silva Andre R., Barata Jorge M., The Role of Injector Heat Transfer in Supercritical Injection Phenomena, AIAA Propulsion and Energy 2020 Forum, 2020. Crossref

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