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A study of in-cylinder combustion processes by using high speed multi-spectral infrared imaging and a robust statistical analysis method
Descriptive
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Text
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Title
A study of in-cylinder combustion processes by using high speed multi-spectral infrared imaging and a robust statistical analysis method
Identifier
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17232
Identifier
ETD_607
Language
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English
Genre
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theses
Subject
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Topic
Mechanical and Aerospace Engineering
Subject
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(authority = ETD-LCSH)
Topic
Internal combustion engines--Cylinders
Abstract
Combustion processes in a spark-ignition engine were studied by using a high speed multi-spectral infrared camera system and a new robust statistical analysis method. Among the variables in the experiment are fuel and fuel additives.
The images were obtained using Rutgers Super Imaging System, which consists of four spatial infrared cameras. The cameras are designed to be spatially aligned and their wavelengths are 3.8 mu m, 2.09 mu m, 3.48 mu m, 2.47 mu m. Each camera consists of a Pt-Si charge-coupled device with a pixel array of 64 x 64 and a depth of 12 bits.
The engine used is a 1999 Ford Mustang 4.6L engine. This engine was modified to allow optical access by means of a bowditch method. The piston was redesigned for this study. Instead of graphite rings, metallic rings and oil lubricant were used to seal the combustion chamber.
A statistical analysis tool (CASAT) was developed to analyze infrared images. This
tool included multiple methods for statistically analyzing the fuels, most notably the novel method time derivative spatial averaging (TDSA).
The ultimate goal of the research was to verify the capabilities of the TDSA method. This was achieved via a blind study, consisting of 10 unknown fuels; 2 base fuels and 8 fuels with additives. The results of the TDSA method predicted four fuels had various amounts of an octane improver, and the other four had a cetane improver. The actual results were octane improver and combustion enhancer. The effects of a cetane improver of gasoline and the effects of a combustion enhancer of gasoline are very similar.
The images were obtained using Rutgers Super Imaging System, which consists of four spatial infrared cameras. The cameras are designed to be spatially aligned and their wavelengths are 3.8 mu m, 2.09 mu m, 3.48 mu m, 2.47 mu m. Each camera consists of a Pt-Si charge-coupled device with a pixel array of 64 x 64 and a depth of 12 bits.
The engine used is a 1999 Ford Mustang 4.6L engine. This engine was modified to allow optical access by means of a bowditch method. The piston was redesigned for this study. Instead of graphite rings, metallic rings and oil lubricant were used to seal the combustion chamber.
A statistical analysis tool (CASAT) was developed to analyze infrared images. This
tool included multiple methods for statistically analyzing the fuels, most notably the novel method time derivative spatial averaging (TDSA).
The ultimate goal of the research was to verify the capabilities of the TDSA method. This was achieved via a blind study, consisting of 10 unknown fuels; 2 base fuels and 8 fuels with additives. The results of the TDSA method predicted four fuels had various amounts of an octane improver, and the other four had a cetane improver. The actual results were octane improver and combustion enhancer. The effects of a cetane improver of gasoline and the effects of a combustion enhancer of gasoline are very similar.
PhysicalDescription
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xiv, 79 pages
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M.S.
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Includes bibliographical references (p. 78-79).
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VanderVeer
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Joseph R.
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Joseph R. VanderVeer
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Kyung
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Kyung T Rhee
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Tse
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Stephen
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Stephen Tse
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Rossmann
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Tobias
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Tobias Rossmann
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Rutgers University
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Graduate School - New Brunswick
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2008
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2008-01
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Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier
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rucore19991600001
Identifier
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doi:10.7282/T3445MTT
Genre
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ETD graduate
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Rights
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The author owns the copyright to this work.
Copyright
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Copyright protected
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Open
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Joseph VanderVeer
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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