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Atomization and Sprays

Publication de 12  numéros par an

ISSN Imprimer: 1044-5110

ISSN En ligne: 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

SPRAY AND COMBUSTION MODELING IN GASOLINE DIRECT-INJECTION ENGINES

Volume 10, Numéro 3-5, 2000, pp. 219-249
DOI: 10.1615/AtomizSpr.v10.i3-5.30
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RÉSUMÉ

Computer simulation models for fuel preparation and combustion in gasoline direct-injection spark-ignition (GDI or DISI) engines are described. A modified KIVA-3V code that includes improved spray breakup, wall impingement, and combustion models was used. In particular, a new ignition kernel model, called DPIK (discrete particle ignition kernel), has been developed to describe the early flame kernel growth process. The model uses Lagrangian marker particles to describe the flame kernel location. The spray and engine flow models were validated using available drop size and patternator measurements, and particle tracking velocimetry (PTV) data from a water analog rig. The combustion models were applied and validated for both homogeneous and stratified-charge engines. The stratified-charge engines considered include both wall-guided and spray-guided designs. Applications of the models show that optimized injection timing can lead to reduced wall wetting, higher turbulence intensity near TDC, and better volumetric efficiency and knock resistance. For wall-guided combustion chamber designs, the injector orientation significantly influences the fuel stratification pattern, and hence the combustion characteristics. The gas tumble also affects the fuel distribution and the ignition process. Under certain conditions, the fuel—air mixing is characterized by the existence of many lean regions in the cylinder and the burning speed is very low; hence the combustion can be poor in these cases. Multidimensional modeling is shown to be a useful tool to help visualize and optimize engine combustion details.

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