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Atomization and Sprays

Publicou 12 edições por ano

ISSN Imprimir: 1044-5110

ISSN On-line: 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

NUMERICAL INVESTIGATION OF A STRATIFIED CHARGE COMPRESSION IGNITION ENGINE WITH LATE INJECTION UNDER LOW-LOAD NONCOMBUSTING CONDITIONS

Volume 25, Edição 3, 2015, pp. 255-284
DOI: 10.1615/AtomizSpr.2015010590
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RESUMO

Fuel stratification introduced by direct injection (DI) of isooctane in an optically accessible stratified charge compression ignition (SCCI) engine is numerically investigated using a multidimensional model. The study is motivated by the fact that in homogeneous charge compression ignition (HCCI) engines operated at low load, combustion efficiency is rather low and the associated carbon monoxide (CO) and unburned hydrocarbons (UHC) emissions are quite high−but that this can be improved by fuel stratification using DI. The resulting in-cylinder mixture distribution is crucial to the success of this strategy. Regions that are too rich cause high NOx while fuel in regions that are too lean results in deteriorated combustion efficiency and OC/UHC emissions. Methods to predict the fuel distribution are therefore required. This study aims to determine the extent to which a computational fluid dynamics (CFD) model can predict fuel stratification in SCCI engines and determine whether the predicted in-cylinder fuel and temperature distributions can explain emissions trends with different stratification levels. The model is shown to have quantitatively good agreement with experimental measurements of the fuel distributions for various injection timings under nonfiring conditions−this is apparently among the first such demonstrations in SCCI operating conditions. It is found that with more retarded injection timing, fuel is increasingly concentrated in the central regions, leading to potential improvements of combustion efficiency and reduction of CO and UHC. However, nitrogen oxides can be potentially increased due to the appearance of regions with excessively high equivalence ratios. The creation of high equivalence ratio regions was examined and it was found that spray-to-spray interaction and spray-wall interaction play important roles in mixture formation. The sensitivity to model parameters was also examined.

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