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Atomization and Sprays

Publicado 12 números por año

ISSN Imprimir: 1044-5110

ISSN En Línea: 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

LARGE EDDY SIMULATION OF FUEL-SPRAY UNDER NON-REACTING IC ENGINE CONDITIONS

Volumen 23, Edición 10, 2013, pp. 925-955
DOI: 10.1615/AtomizSpr.2013008320
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SINOPSIS

This work examines the Subgrid-scale (SGS) model performance and effects of grid resolution for fuel spray simulations within a Lagrangian-Eulerian framework. The widely studied SGS models for large eddy simulation (LES), namely, (1) Smagorinsky model, (2) one-equation dynamic structure model, and (3) no SGS model, are investigated and compared with the Reynolds averaged Navier-Stokes (RANS) approach using the RNG k − ε model. The simulation results are also compared against experimental data. For each turbulence model, simulations are performed with different smallest grid sizes ranging from 500 to 31.25 µm using adaptive mesh refinement with a base grid size of 1 mm. The corresponding smallest grid size to nozzle diameter ratios are 5−0.3. Two diesel surrogates, namely, n-heptane and n-dodecane, are studied under nonreacting conditions relevant for compression ignition engine applications. Experimental data from Sandia National Laboratory through the Engine Combustion Network (ECN) are used for validation purposes. The qualitative comparisons are conducted for the instantaneous mixture fraction and temperature contours. Quantitatively, predicted global spray characteristics of liquid spray and vapor penetration, as well as radial and axial mixture fraction and axial velocity profiles at different locations, are compared against the measurements. Additionally, five different injection realizations are simulated for all the models, with a smallest grid size of 62.5 µm to capture cycle-to-cycle variations. The required grid resolution for grid convergence for LES spray simulations is discussed based on the experimental comparisons. With the dramatic increase in computational resources in the past decade, this study indicates that LES is a viable alternative to RANS for engine sprays, since it is more predictive in capturing flow structure and local spray characteristics, with reasonable wall-clock times.

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