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Technical Paper

CFD Analysis of Injection Timing Influence on Mixture Preparation in a PFI Motorcycle Engine

2006-11-13
2006-32-0022
The efficiency of engine operations, i.e. cold start, transient response and operating at idle, depends on the capability of the injection fuel system to promote a homogeneous mixture formation through an efficient interaction with engine fluid dynamics and geometry. The paper presents the development and the application of a methodology for running a CFD PFI engine simulation. A preliminary assessment of the wall-film and droplet-wall interaction sub models has been carried out in order to validate the methodology. Then a three-step numerical procedure has been adopted. The first two steps are aimed to properly initialize the secondary breakup model depending on the type of injector installed on board in order to achieve accurate predictions of spray characteristics.
Technical Paper

Direct Injection of Variable Gasoline/Methanol Mixtures: Injection and Spray Characteristics

2001-03-05
2001-01-0966
The injection rate modulation and the spray characteristics are determining factors for the quality of mixture formation when applying GDI. Their variation with load and speed is a basic criterion for the adaptability of a type of injection system to an engine with known requirements. The increased interest for the utilization of regenerative fuels - such as methanol obtained from biomass - as well as the success of previous utilization scenarios of variable gasoline/methanol mixture using manifold injection formed the base of the present analysis: the paper describes the results concerning injection performances and spray characteristics when using gasoline/methanol mixtures with different ratios in a direct injection system with high pressure modulation. The results are compared for different parameters of the injection systems as follows: injection volume, injector opening pressure, needle lift, pintle/seat geometry.
Technical Paper

Atomization of High-Pressure Diesel Spray: Experimental Validation of a New Breakup Model

2001-03-05
2001-01-1070
A hybrid model for the atomization of Diesel sprays was developed [1]. The model was added to the KIVA code to better simulate spray evolution. Different implementation for low-medium and high injection pressure sprays are performed. It has already been validated for the low-pressure case [1,2] and in this work it was tested for high injection pressure systems, in a vessel at ambient conditions. It distinguishes between jet primary breakup and droplet secondary breakup. For the latter distinct models are used, as the droplet Weber number changes in the various regimes, in order to take into account the effects of the different relevant forces. For high pressure Diesel spray the effects of jet turbulence, cavitation and nozzle flow on liquid core primary breakup must be considered. Due to the high droplet velocity the catastrophic secondary breakup regime may occur.
Technical Paper

Analysis test bench for spray characteristics

2001-09-23
2001-24-0058
This paper describes an experimental bench for a non-intrusive characterization of fuel sprays. The characterization is obtained by computer analysis of the fuel spray images acquired using a high-resolution CCD camera. The bench has been developed by AEA for Siemens Automotive, in collaboration with Siemens' R&D staff and Perugia University researchers. Two different techniques have been implemented to obtain the jet images. The main target of this paper is the comparison of the results obtained using the two different methodologies of analysis.
Technical Paper

Study of the Influence of the Injection System in a Multi-Dimensional Spray Simulation

2005-09-11
2005-24-088
The introduction of the high-pressure fully electronic-controlled injection systems has opened a number of new possibilities to optimize diesel engine performance and to reduce pollutant emissions. However greater research efforts are required to meet future European emission legislation. The control of the combustion process, which determines to a large extent the amount of pollutant emissions, requires primarily an understanding of its physics and chemistry as well as the capability to modify one or more of the interdependent process parameters in a given direction. Since many parameters have to be considered, a combined experimental-numerical approach is required.
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