Archivio Istituzionale della RicercaThe objective of this work is to investigate the spray characteristics of a fuel injection nozzle. The analysis is performed by means of a framework which exploits different image processing techniques to provide spray-related data to the operator. Innovative metrics are introduced to increase the accuracy and efficiency of the scheme. Experimental results show that it is possible to automatically get useful information about the spray distribution, asymmetries and key properties together with the capability to measure significant angles and other information to detect anomalies in the injection system.
Image-processing assisted characterization of spray injection systems / Baccaglini, Enrico; Gavelli, M.; Morello, M.; Raimondo, Nadir; Scopigno, Riccardo. - ELETTRONICO. - (2015), pp. 1706-1711. (Intervento presentato al convegno 2015 IEEE International Conference on Industrial Technology, ICIT 2015 tenutosi a Seville, Spain nel 17-19 March 2015) [10.1109/ICIT.2015.7125343].
Image-processing assisted characterization of spray injection systems
BACCAGLINI, ENRICO;RAIMONDO, NADIR;SCOPIGNO, RICCARDO
2015
Abstract
The objective of this work is to investigate the spray characteristics of a fuel injection nozzle. The analysis is performed by means of a framework which exploits different image processing techniques to provide spray-related data to the operator. Innovative metrics are introduced to increase the accuracy and efficiency of the scheme. Experimental results show that it is possible to automatically get useful information about the spray distribution, asymmetries and key properties together with the capability to measure significant angles and other information to detect anomalies in the injection system.
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https://hdl.handle.net/11583/2644961
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