@inproceedings{scholars883,
         journal = {Proceedings of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010},
           title = {Imaging investigation on the spray penetration of gasohol blends image},
         address = {Dhaka},
           pages = {261--266},
            note = {cited By 0; Conference of 2010 13th International Conference on Computer and Information Technology, ICCIT 2010 ; Conference Date: 23 December 2010 Through 25 December 2010; Conference Code:84337},
            year = {2010},
             doi = {10.1109/ICCITECHN.2010.5723866},
        abstract = {Simplified visualisation of the fuel spray developing process of varied ethanol content in an open spray by the liquid injection technique. For obtaining spray characteristics in the liquid, the visualisation principles were based on spray penetrations images. The video imaging and schlieren technique have been used to investigate the spray development and behaviours at different injection time defined as the delay time from the start of injection (SOI) to the image recording in the viewing area. Five different gasoline-ethanol fuel blend rates by volume are prepared. The Image of the spray is captured using schlieren imaging technique and image processing is employed to extract macro spray characteristics- spray tip penetration and spray cone angle. Based on the extracted tip penetration and cone angles E55 gasoline-ethanol blend found out to have the largest cone angle and tip penetration among the tested blends. {\^A}{\copyright}2010 IEEE.},
        keywords = {Cone angle; Delay Time; Developing process; Ethanol fuel blends; Fuel sprays; Gasoline-ethanol blend; Injection time; Liquid injections; Schlieren imaging; Schlieren techniques; Spray characteristics; Spray cone angle; Spray development; Spray penetration; Spray tip penetration; Start of injections; Video imaging; Viewing area; Visualisation, Edge detection; Ethanol; Ethanol fuels; Gasohol; Gasoline; Image recording; Information technology; Liquids; Visualization, Image segmentation},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952936609&doi=10.1109\%2fICCITECHN.2010.5723866&partnerID=40&md5=e8d53b9036c3d1beadcccd250b58a9dd},
            isbn = {9781424484973},
          author = {Amirruddin, A. K. and Razali, M. H. and Iffa, E. D.}
}