Abstract
Fuel spray characteristics in a swirl-cup model annular combustor are investigated. In order to better quantify and distinguish the diameters and numbers of the fuel droplets, and their size distributions, image-processing technologies are applied for raw images of fuel spray field. These techniques include gradation processing, edge detection, smooth disposal, outline extraction and picture disposal. Experimental results show that the proposed image-processing technologies demonstrate an effective method for the characterization of the fuel spray field in the studied gas turbine combustor. Parametric studies were also conducted to investigate the influences of different inlet parameters such as inlet air temperature, inlet air flux and fuel air ratio on the spray field. It was found that the fuel atomization becomes better with the increase of inlet air temperature and fuel air ratio; however, the change of inlet air flux has a minimum effect on the spray field.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
