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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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 39.76 kB | Adobe PDF | View/Open |
02_certificates.pdf | 1.21 MB | Adobe PDF | View/Open | |
03_abstract.pdf | 113.86 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 83.78 kB | Adobe PDF | View/Open | |
05_contents.pdf | 13.94 MB | Adobe PDF | View/Open | |
06_list_of_symbols and abbreviations.pdf | 148.63 kB | Adobe PDF | View/Open | |
07_chapter1.pdf | 1.07 MB | Adobe PDF | View/Open | |
08_chapter2.pdf | 213.86 kB | Adobe PDF | View/Open | |
09_chapter3.pdf | 1.33 MB | Adobe PDF | View/Open | |
10_chapter4.pdf | 1.49 MB | Adobe PDF | View/Open | |
11_chapter5.pdf | 3.41 MB | Adobe PDF | View/Open | |
12_conclusion.pdf | 6.72 MB | Adobe PDF | View/Open | |
13_references.pdf | 1.83 MB | Adobe PDF | View/Open | |
14_list_of_publications.pdf | 224 kB | Adobe PDF | View/Open |
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