1–2 von 2 Ergebnissen
|

    Development of a Novel Machine Learning Methodology for the Generation of a Gasoline Surrogate Laminar Flame Speed Database under Water Injection Engine Conditions

    Forte, Claudio / Bianchi, Gian Marco / Cazzoli, Giulio et al. | SAE Technical Papers | 2019
    correlations. In order to generate a database with all the possible combinations of chemical and physical properties that can be reached during the ...
    Verlag: Society of Automotive Engineers , SAE International

    A Numerical Model for Flash Boiling of Gasoline-Ethanol Blends in Fuel Injector Nozzles

    Brusiani, Federico / Bianchi, Gian Marco / Negro, Sergio | SAE Technical Papers | 2011
    Fuels are formulated by a variety of different components characterized by chemical and physical properties spanning a wide range of values ...
    Verlag: Society of Automotive Engineers , SAE International