Experimental Visualization and Lagrangian Simulation of ECN Spray G Injection Process

Autor: Stefano Ranieri, Francesco Duronio, Luigi Allocca, Alessandro Montanaro, Angelo De Vita
Rok vydání: 2021
Předmět:
Zdroj: MetroAutomotive
2021IEEE, pp. 125–129, 2021
info:cnr-pdr/source/autori:Montanaro A.; Duronio F.; Allocca L.; De Vita A.; Ranieri S./titolo:Experimental visualization and lagrangian simulation of ECN spray G injection process/titolo_volume:2021IEEE/curatori_volume:/editore:/anno:2021
DOI: 10.1109/metroautomotive50197.2021.9502864
Popis: Gasoline Direct Injection (GDI) technology has been recognized as an effective way to achieve better engine performance and reduced pollutant emissions. High-pressure injectors are demonstrating many advantages in the applications for GDI engines providing a better fuel atomization, a better mixing with the air, a consequent more efficient combustion and, finally, reduced tailpipe emissions. In this context the present work features a dual experimental-numerical characterization of the jet issued from a multi-hole injector. The numerical model has been developed by means of a Eulerian-Lagrangian CFD code and validated thanks to experimental data collected with schlieren and Mie scattering imaging techniques.
Databáze: OpenAIRE