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Computational Thermal Sciences: An International Journal

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ISSN Druckformat: 1940-2503

ISSN Online: 1940-2554

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: 1.5 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 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: 0.00017 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: 0.279 SNIP: 0.544 CiteScore™:: 2.5 H-Index: 22

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ON THE USE OF DNS TO ANALYZE HEAT AND MASS TRANSFERS IN A DROPLET-LADEN TURBULENT JET

Volumen 1, Ausgabe 3, 2009, pp. 289-308
DOI: 10.1615/ComputThermalScien.v1.i3.30
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ABSTRAKT

Nowadays, it is fundamental to decrease fuel consumption and pollution generated by cars by improving engine efficiency. The characterization, the prediction, and the control of the physical phenomena interacting within the combustion chamber are necessary if one wants to improve the current systems and to develop new technologies. This is why it is important to understand and control the whole of the physical processes taking place from the liquid injection and atomization down to combustion phenomena and gas exhaust. In direct-injection engines, modeling the evaporation of the liquid fuel is a very difficult phase. Experimental results have shown that the droplet presence amplifies the temperature fluctuations and modifies the mixing between the vapor of fuel and the oxidizer. If, up to now, the effects of evaporation on the equivalence ratio and the velocity fluctuations have been taken into account in engines modeling, temperature exchanges between the spray and the gas phase have not been clearly evaluated. These fluctuations, however, could play a considerable role in the process of self-ignition and then pollutant formation. The main objective of this work is to carry out direct numerical simulation (DNS) of an evaporating gasoline spray in order to estimate the effects of the droplets on the energy field and to study temperature and enthalpy fluctuations. We focus mainly on the vaporization sources terms found in the balance equation of the variance of the sensible enthalpy. DNS is a useful tool that allows exactly solving the Navier-Stokes equations by considering all the characteristic scales of the flow. When two-phase flows are considered, only a DNS of the carrier phase is carried out, whereas a Lagrangian model is necessary to describe the liquid phase. The droplets are considered as local sources of vapor, momentum, and energy; a two-way coupling is considered.

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