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http://hdl.handle.net/10603/352139
Title: | Multi Objective Optimization Algorithm For Performance And Emissions Characteristics Of Multi Blended Bio Diesel Engine With The Aid Of Deep Belief Neural Network |
Researcher: | Sujesh,G |
Guide(s): | Ganesan,S |
Keywords: | Engineering Engineering and Technology Engineering Mechanical |
University: | Sathyabama Institute of Science and Technology |
Completed Date: | 2021 |
Abstract: | In day-to-day life, the consumption of petroleum product is emerging because of the enormous maximization of vehicles on road. On this regards, the environmental pollution gets increased by this enormous consumption of hydrocarbon. Hence, overcoming of these problems is very crucial, and can be exploited by reducing the environmental pollution and uninterrupted fuel supply. The demand for diesel increased by the depletion of fossil fuel and uncertainty in availability is regarded as the core factors that motivated the research on alternative energy. Renewable fuels have achieved more concentration, since it minimizes the environmental pollution and also the petroleum import. Therefore, the biodiesel production has become the main focus of researchers and is optimized for satisfying the specifications and standards required for a commercial fuel. As the biodiesel and their blending with petroleum diesel have same characteristics, the biodiesel blending can be utilized as fuel, and it pose less exhaust emissions. When compared with petroleum diesel, biodiesel achieves superior properties like biodegradable, renewable, non-toxic, and effectively free of aromatics and sulphur. This thesis explains the biodiesel blending models under two contributions. The first contribution mainly aims on introducing an alternate fuel for diesel that blended with Waste cooking oil Methyl Ester (WME) by adding Cerium oxide (CeO2) and Tyre Pyrolysis Oil (TPO). Five blends are arranged for newline newline newline newlinethis objective and are reviewed in the view of emission and performance characteristics. The blends prepared are W50T50CeO2100, W60T40CeO2100, W70T30CeO2100, W80T20CeO2100 and W90T10CeO2100. Further, the analysis is performed under diverse load conditions and the emission characteristics like smoke, Carbon-di-oxide (CO2), carbon monoxide (CO), hydrocarbon (HC) and nitrogen oxide (NOx) emission and performance characteristics like Brake Thermal Efficiency (BTHE) and Break Specific Fuel Consumption (BSFC) as well as examined. In the second contribut |
Pagination: | A5 |
URI: | http://hdl.handle.net/10603/352139 |
Appears in Departments: | MECHANICAL DEPARTMENT |
Files in This Item:
File | Description | Size | Format | |
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01. title.pdf | Attached File | 325.71 kB | Adobe PDF | View/Open |
02. certificate.pdf | 1.4 MB | Adobe PDF | View/Open | |
03. acknowledgement.pdf | 421.97 kB | Adobe PDF | View/Open | |
04. abstract.pdf | 421.03 kB | Adobe PDF | View/Open | |
05. table of contents.pdf | 3.08 MB | Adobe PDF | View/Open | |
06. chapter 1.pdf | 8.32 MB | Adobe PDF | View/Open | |
06. chapter 2.pdf | 9.29 MB | Adobe PDF | View/Open | |
06. chapter 3.pdf | 7.5 MB | Adobe PDF | View/Open | |
06. chapter 4.pdf | 4.99 MB | Adobe PDF | View/Open | |
06. chapter 5.pdf | 11.32 MB | Adobe PDF | View/Open | |
07. conclusion.pdf | 1.01 MB | Adobe PDF | View/Open | |
08. references.pdf | 5.55 MB | Adobe PDF | View/Open | |
09 curriculam vitae.pdf | 206.81 kB | Adobe PDF | View/Open | |
10. evaluation reports.pdf | 4.14 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 325.71 kB | Adobe PDF | View/Open |
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