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The optimization of the air-fuel mixture formation plays a very important role in order to reduce the total amount of emissions from an SI engine. To comply with the EURO5 emission restrictions is necessary to understand the influence of injection timing (with respect to engine load) and injector geometry on the air-fuel dynamic interaction. The aim of this paper is to define a CFD methodology for the simulation of a PFI engine. The goals of this analysis are the evaluation of the injector geometry and injection timing influences on the air-fuel mixture preparation and so on the equivalence ratio distribution inside the combustion chamber. Preliminary assessments of the wall-film and droplet-wall interaction sub models have been carried out in order to validate the methodology [1].

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.

In this paper the feasibility of the application of a system conceived by Järvi to a 125 cm3, four strokes motorcycle engine built by Piaggio Company is investigated. This study was carried out using a one-dimensional model built with the well known CFD 1D code Wave and validated in a previous work. An analytical study was performed on the kinematic scheme of the mechanism in order to establish the relationship between control ramp and valve lift. The control ramp shape was then optimized accordingly with the results of the fluid dynamic analysis performed through the above mentioned Wave model.

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.

The paper presents an innovative drive-train for a small scooter, taking advantage of an hybrid (mechanical-electrical) structure. The single parts of this drive train have been dimensioned and the resulting system has been introduced in a simulation program. According to the simulation results the hybridisation is able to enhance the maximum power of the scooter by 1 kW (over 30%), without changing the fuel consumption, and to allow a pure-electric operation with a range over 11 km. Moreover, when the propulsion power comes only from the onboard batteries, and they are recharged from the electric mains, the operation cost per km is less than one half the cost of corresponding fuel consumption of a vehicle without hybridisation.

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.