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

Author:

Mohapatra Chinmoy K1ORCID,Schmidt David P1,Sforozo Brandon A2,Matusik Katarzyna E2,Yue Zongyu2ORCID,Powell Christopher F2,Som Sibendu2,Mohan Balaji3,Im Hong G3,Badra Jihad4,Bode Mathis5,Pitsch Heinz5,Papoulias Dimitrios6,Neroorkar Kshitij7,Muzaferija Samir8,Martí-Aldaraví Pedro9,Martínez María9

Affiliation:

1. Department of Mechanical and Industrial Engineering, University of Massachusetts Amherst, Amherst, MA, USA

2. Argonne National Laboratory, Lemont, IL, USA

3. Clean Combustion Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia

4. Fuel Technology Division, R&DC, Saudi Aramco, Dhahran, Saudi Arabia

5. Institute for Combustion Technology, RWTH Aachen University, Aachen, Germany

6. Siemens Industry Software Computational Dynamics Ltd, London, UK

7. Siemens Industry Software Computational Dynamics Ltd, Bangalore, India

8. Siemens Industry Software GmbH, Nuremberg, Germany

9. CMT-Motores Térmicos, Universitat Politecnica de Valencia, Valencia, Spain

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.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Automotive Engineering

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