TY  - CONF
AV  - none
SP  - 63
TI  - Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing
KW  - 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
KW  -  Digital image storage; Edge detection; Ethanol; Ethanol fuels; Gasoline; Imaging systems; Signal detection
KW  -  Image segmentation
Y1  - 2009///
N2  - 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.
SN  - 9781424455614
CY  - Kuala Lumpur
EP  - 67
ID  - scholars555
A1  - Iffa, E.D.
A1  - Amirruddin, A.K.
A1  - Anwar, S.
A1  - Aziz, R.A.A.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77954515002&doi=10.1109%2fICSIPA.2009.5478721&partnerID=40&md5=76c28d332055fd7a33e57075ac8a6fcb
N1  - 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
ER  -