A Computational Methodology for Studying Sprays Characteristics of a Gasoline Direct Injection Injector

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.