Collaborative investigation of the internal flow and near-nozzle flow of an eight-hole gasoline injector (Engine Combustion Network Spray G). (June 2023)

• Record Type: Journal Article
• Authors: Mohapatra, Chinmoy K; Schmidt, David P; Sforzo, Brandon A; Matusik, Katarzyna E; Yue, Zongyu; Powell, Christopher F; Som, Sibendu; Mohan, Balaji; Im, Hong G; Badra, Jihad; Bode, Mathis; Pitsch, Heinz; Papoulias, Dimitrios; Neroorkar, Kshitij; Muzaferija, Samir; Martí-Aldaraví, Pedro; Martínez, María
• Is Part Of: International journal of engine research. Volume 24:Number 6(2023)
• Page Start: 2297
• Page End: 2314
• Publication Date: 2023-06
• Subjects: Spray simulation -- gasoline direct injection -- flash boiling -- cavitation -- engine combustion network -- nozzle flow; Engines -- Periodicals; 629.25
• DOI: 10.1177/1468087420918449
• Languages: English
• ISSNs: 1468-0874

Abstract

The internal details of fuel injectors have a profound impact on the emissions from gasoline direct injection engines. However, the impact of injector design features is not currently understood, due to the difficulty in observing and modeling internal injector flows. Gasoline direct injection flows involve moving geometry, flash boiling, and high levels of turbulent two-phase mixing. In order to better simulate these injectors, five different modeling approaches have been employed to study the engine combustion network Spray G injector. These simulation results have been compared to experimental measurements obtained, among other techniques, with X-ray diagnostics, allowing the predictions to be evaluated and critiqued. The ability of the models to predict mass flow rate through the injector is confirmed, but other features of the predictions vary in their accuracy. The prediction of plume width and fuel mass distribution varies widely, with volume-of-fluid tending to overly concentrate the fuel. All the simulations, however, seem to struggle with predicting fuel dispersion and by inference, jet velocity. This shortcoming of the predictions suggests a need to improve Eulerian modeling of dense fuel jets.