%0 Conference Paper
%A Iffa, E.D.
%A Amirruddin, A.K.
%A Anwar, S.
%A Aziz, R.A.A.
%D 2009
%F scholars:555
%K Cone angle; Digital imaging; Ethanol fuel blends; Ethanol gasoline blend; Fuel blends; Gasoline-ethanol blend; Schlieren imaging; Spray characteristics; Spray cone angle; Spray tip penetration, Digital image storage; Edge detection; Ethanol; Ethanol fuels; Gasoline; Imaging systems; Signal detection, Image segmentation
%P 63-67
%R 10.1109/ICSIPA.2009.5478721
%T Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing
%U https://khub.utp.edu.my/scholars/555/
%X This paper tries to characterize the spray of gasolineethanol blends using schlieren imaging technique and image processing. 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.
%Z cited By 2; Conference of 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 ; Conference Date: 18 November 2009 Through 19 November 2009; Conference Code:81054