Fuzzy Logic Approach to GDI Spray Characterization Dept. Ingegneria Industriale

Format:

Conference/Event

Contributor:

Allocca, Luigi

Amoresano, Amedeo

Langella, Giuseppe

Montanaro, Alessandro

Niola, Vincenzo

Quaremba, Giuseppe

Conference Name:

SAE 2016 World Congress and Exhibition (2016-04-12 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2016

Summary:

Advanced numerical techniques, such as fuzzy logic and neural networks have been applied in this work to digital images acquired on a mono-component fuel spray (iso-octane), in order to define, in a stochastic way, the gas-liquid interface evolution. The image is a numerical matrix and so it is possible to characterize geometrical parameters and the time evolution of the jet by using deterministic, statistical stochastic and other several kinds of approach. The algorithm used works with the fuzzy logic concept to binarize the shades gray of the pixel, depending them, by using the schlieren technique, on the gas density. Starting from a primary fixed threshold, the applied technique, can select the gas' pixel from the liquid' pixel and so it is possible define the first most probably boundary lines of the spray. Acquiring continuously the images, fixing a frame and a sample rate, a most fine threshold can be select and, at the limit, the most probably geometrical parameters of the jet can be detected

Notes:

Vendor supplied data

Publisher Number:

2016-01-0874

Access Restriction:

Restricted for use by site license