Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing

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 employ...

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Main Authors: Iffa, Emishaw D., Abdul Kadir, Amirruddin, Sulaiman, S. A., Aziz, A. Rashid A.
Format: Conference or Workshop Item
Published: 2009
Subjects:
Online Access:http://eprints.utp.edu.my/5498/1/Emishaw_IEEEpaper.pdf
http://eprints.utp.edu.my/5498/
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spelling my.utp.eprints.54982017-01-19T08:25:11Z Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing Iffa, Emishaw D. Abdul Kadir, Amirruddin Sulaiman, S. A. Aziz, A. Rashid A. TJ Mechanical engineering and machinery 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. 2009-11 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/5498/1/Emishaw_IEEEpaper.pdf Iffa, Emishaw D. and Abdul Kadir, Amirruddin and Sulaiman, S. A. and Aziz, A. Rashid A. (2009) Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing. In: IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Kuala Lumpur. http://eprints.utp.edu.my/5498/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Iffa, Emishaw D.
Abdul Kadir, Amirruddin
Sulaiman, S. A.
Aziz, A. Rashid A.
Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
description 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.
format Conference or Workshop Item
author Iffa, Emishaw D.
Abdul Kadir, Amirruddin
Sulaiman, S. A.
Aziz, A. Rashid A.
author_facet Iffa, Emishaw D.
Abdul Kadir, Amirruddin
Sulaiman, S. A.
Aziz, A. Rashid A.
author_sort Iffa, Emishaw D.
title Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
title_short Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
title_full Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
title_fullStr Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
title_full_unstemmed Gasoline-Ethanol (Gasohol) Fuel Blend Spray Characterization using Digital Imaging and Image Processing
title_sort gasoline-ethanol (gasohol) fuel blend spray characterization using digital imaging and image processing
publishDate 2009
url http://eprints.utp.edu.my/5498/1/Emishaw_IEEEpaper.pdf
http://eprints.utp.edu.my/5498/
_version_ 1738655410568560640
score 13.19449