Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/253156
Title: The effect of supercharger on the performance and emission of a diesel engine fueled with a variable composition biogas blends
Researcher: Palaniswamy D
Guide(s): Ramesh G
Keywords: Biogas Blends
Diesel Engine
Engineering and Technology,Engineering,Engineering Mechanical
Supercharger
University: Anna University
Completed Date: 2018
Abstract: Diesel is a fossil fuel with high calorific value, which is using for power generation, transportations and also for other various applications. It causes many economic and ecological problems. In most urban centers around the world, the exhaust emissions from the diesel engine are the major source which causes heavy pollutions with hazardous emissions. The primary reason for this pollution is the heterogeneous mixture of air and diesel in the combustion chamber and exhaustion of this charge to the atmosphere. Even though the fossil fuels are the one in demand, they have to meet the excessive usages; and also they are of the non-renewable type. The most critical issue concerning at present is the replacement of fossil fuels with renewable newlinesources. In this case, an alternate resource is required to meet the requirements of the current environment to reduce hazardous emissions. Thus, biogas was found to be the alternative fuel to meet the above crisis. In this research, a Naturally Aspirated (NA) single cylinder four-stroke diesel engine was modified by various aspiration methods such as charge Pre Heating (PH), Exhaust Gas Recirculation (EGR), Supercharging (SC), preheating and supercharging (PH+SC) and exhaust gas recirculation and supercharging (EGR+SC) on the performance of a diesel engine under various load conditions. The evaluation of the experimental data was shown newlinesuch that supercharging the engine exhibited good performance than natural aspiration methods. Also, this work investigates the production of biogas by anaerobic digestion of solid-phase kitchen food waste mixed with cow dung using Artificial Neural Networks (ANN) for modeling and optimizing the biogas production. The food waste and cow dung were mixed at different compositions to a total mass of 2 kg in twenty-one miniature digesters of five litre capacity. newline newline
Pagination: xxviii, 217p.
URI: http://hdl.handle.net/10603/253156
Appears in Departments:Faculty of Mechanical Engineering

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02_certificates.pdf1.21 MBAdobe PDFView/Open
03_abstract.pdf113.86 kBAdobe PDFView/Open
04_acknowledgement.pdf83.78 kBAdobe PDFView/Open
05_contents.pdf13.94 MBAdobe PDFView/Open
06_list_of_symbols and abbreviations.pdf148.63 kBAdobe PDFView/Open
07_chapter1.pdf1.07 MBAdobe PDFView/Open
08_chapter2.pdf213.86 kBAdobe PDFView/Open
09_chapter3.pdf1.33 MBAdobe PDFView/Open
10_chapter4.pdf1.49 MBAdobe PDFView/Open
11_chapter5.pdf3.41 MBAdobe PDFView/Open
12_conclusion.pdf6.72 MBAdobe PDFView/Open
13_references.pdf1.83 MBAdobe PDFView/Open
14_list_of_publications.pdf224 kBAdobe PDFView/Open
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