Chaos Theory Approach as Advanced Technique for GDI Spray Analysis

The paper reports an innovative method of analysis based on anadvanced statistical techniques applied to images captured by ahigh-speed camera that allows highlighting phenomena andanomalies hardly detectable by conventional optical diagnostictechniques. The images, previously elaborated by neural networktools in order for clearly identifying the contours, have beenanalyzed in their time evolution as pseudo-chaotic variables thatmay have internal periodic components. In addition to the Fourieranalysis, tools as Lyapunov and Hurst exponents and average K?permitted to detect the chaos level of the signals. The use of thistechnique has permitted to distinguish periodic oscillations fromchaotic variations and to detect those parameters that actuallydetermine the spray behavior.