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The focus of this study was to create a methodology to evaluate spray characteristics in a gasoline direct injection injector by means of an automatic process. Computational codes were used to get information about cone angle and breakup length based on images got from injection process. A mathematical function was created to locate the boundaries of the spray and the cone angle was studied as the angle of arcs situated within these boundaries. The centre of the arc was located on the orifice of the injector and a value of angle was associated with several distances from orifice. The breakup length was associated as a distance from the orifice of an arc formed by a group of pixels with the maximum standard deviation related to the values of these pixels. The velocity field was studied by the Particle Image Velocimetry technique. Three fluids were tested at this work: water, ethanol and gasoline.

The analysis of engine’s performance, gas emissions and combustion parameters is critical in the development of internal combustion engines. The combustion parameters analysis provide important information to speed up real-time engine’s operation in order to shorter the process of engine’s map calibration. The real-time analysis of these parameters allows the detection of anomalies, such as the prediction of knocking event. From the measurement of the In-cylinder pressure curve and the use of a one-zone combustion model is possible to evaluate the heat release rate, mass burned fraction and average In-cylinder gas temperature. Aiming to expand the amount of real-time data available, such as unburned and burned gases temperature and volume, radius and velocity of turbulent spherical flame and turbulence factor, this paper presents a hybrid combustion model, being composed by coupling a two-zone model to a one-zone model.