Gasoline-ethanol (Gasohol) fuel blend spray characterization using digital imaging and image processing

Author

Iffa, E.D. ; Amirruddin, A.K. ; Anwar, S Shaharin ; Aziz, A. Rashid A.

Author_Institution

Mech. Eng. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2009

fDate

18-19 Nov. 2009

Firstpage

63

Lastpage

67

Abstract

This paper tries to characterize the spray of gasoline-ethanol 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.

Keywords

computational fluid dynamics; engines; flow visualisation; fuel systems; image processing; petroleum; schlieren systems; sprays; digital imaging; extracted tip penetration; gasohol fuel blend spray characterization; gasoline-ethanol fuel blend spray characterization; image processing; schlieren imaging; spray cone angle; Combustion; Digital images; Engines; Ethanol; Fuels; Image processing; Optical distortion; Optical imaging; Petroleum; Spraying; Edge Detection; Ethanol-Gasoline Blend; Image Segmentation; Schlieren Imaging; Spray Cone Angle; Spray Tip Penetration;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal and Image Processing Applications (ICSIPA), 2009 IEEE International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-5560-7

Type

conf

DOI

10.1109/ICSIPA.2009.5478721

Filename

5478721