Comparison of Shadowgraph Imaging, Laser-Doppler Anemometry and X-Ray Imaging for the Analysis of Near Nozzle Velocities of GDI Fuel Injectors 2017-01-2302
The fuel spray behavior in the near nozzle region of a gasoline injector is challenging to predict due to existing pressure gradients and turbulences of the internal flow and in-nozzle cavitation. Therefore, statistical parameters for spray characterization through experiments must be considered. The characterization of spray velocity fields in the near-nozzle region is of particular importance as the velocity information is crucial in understanding the hydrodynamic processes which take place further downstream during fuel atomization and mixture formation. This knowledge is needed in order to optimize injector nozzles for future requirements.
In this study, the results of three experimental approaches for determination of spray velocity in the near-nozzle region are presented. Two different injector nozzle types were measured through high-speed shadowgraph imaging, Laser Doppler Anemometry (LDA) and X-ray imaging. Correlation among these three methods is used to classify the benefits and limitations of each measurement technique. The combination of these conceptually different measurement approaches provides a better insight into the complex phenomena of spray penetration and mixture preparation along with near-nozzle effects such as tip wetting in order to optimize future HDEV injector generations.
Citation: Knorsch, T., Mamaikin, D., Leick, P., Rogler, P. et al., "Comparison of Shadowgraph Imaging, Laser-Doppler Anemometry and X-Ray Imaging for the Analysis of Near Nozzle Velocities of GDI Fuel Injectors," SAE Technical Paper 2017-01-2302, 2017, https://doi.org/10.4271/2017-01-2302. Download Citation
Author(s):
Tobias Knorsch, Dmitrii Mamaikin, Philippe Leick, Philipp Rogler, Jin Wang, Zhilong Li, Michael Wensing
Affiliated:
Robert Bosch GmbH, Argonne National Laboratory, FAU Erlangen-Nuremberg
Pages: 12
Event:
International Powertrains, Fuels & Lubricants Meeting
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Fuel injection
Imaging and visualization
Nozzles
Optimization
Statistical analysis
Gasoline
Turbulence
Lasers
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