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https://scidar.kg.ac.rs/handle/123456789/14976
Title: | Correlation between Emission and Combustion Characteristics with the Compression Ratio and Fuel Injection Timing in Tribologically Optimized Diesel Engine |
Authors: | Milojević, Saša Savić V. Maric, Dejan Stopka, Ondrej Krstić B. Stojanovic, Blaza |
Issue Date: | 2022 |
Abstract: | Diesel engines are economical thanks to their combustion process characteristics, which is why they have a high noise emission level as well as exhaust emissions of nitrogen oxide and particulate matters. By continuously changing the value of compression ratio, it is possible to control the power and emissions. Implementation of variable compression ratio has many benefits, such as being able to work with different types of fuel. In this way, it is possible to optimize the combustion process for operation with minimum fuel consumption and emission generation, so that diesel engines can be applied to the framework of future hybrid vehicle concepts, and so forth. As far as the crucial objective of the manuscript is concerned, experimental diesel engine investigation was performed on a roller test-bench by using zero-dimensional computer model (specifically AVL IndiCom Indicate Software). Engine indication was executed with the factory compression ratio value and with three lower values. During our examination, the change in the compression ratio value was achieved by changing the volume of a combustion chamber at a piston-bowl. The results of laboratory research on the experimental engine are presented in the paper when discussing a series of specific parameters (characteristics), such as compression ratio, fuel injection timing, engine speed, as well as load influence on combustion process and exhaust emissions. |
URI: | https://scidar.kg.ac.rs/handle/123456789/14976 |
Type: | article |
DOI: | 10.17559/TV-20211220232130 |
ISSN: | 1330-3651 |
SCOPUS: | 2-s2.0-85133202351 |
Appears in Collections: | Faculty of Engineering, Kragujevac |
Files in This Item:
File | Description | Size | Format | |
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10.17559-TV-20211220232130.pdf | 2.83 MB | Adobe PDF | View/Open |
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