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Study of Combustion Parameters Under Variable Compression Ratio
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Uncover the complexities of combustion in diesel engines with our in-depth study and CFD analysis.
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- The theory of combustion in diesel engine is a very complex phenomenon in which intensive research has been carried out in this area from many years. Combustion is a chemical reaction in which certain elements of fuel like hydrogen and carbon, combine with oxygen liberating heat energy and raising the temperature of gases in engine by virtue of which power is generated. The conditions necessary for combustion are the presence of combustible mixtures and some means of initiating the process. In present study, CFD analysis and simulation of combustion phenomenon of diesels engine with variable compression ratios like 12.5, 15, and 17.5 are carried out at 230 before start of fuel injection (at the end of compression stoke) and ends at 500 after start of fuel injection. The main objective is to analyse the combustion parameters like cylinder pressure, cylinder volume, heat release rate, rate of pressure rise and temperature of single cylinder four-stroke DI diesel engine for various compression ratios by numerical approach using CFD package ANSYS Fluent.
| Publisher | LAP LAMBERT Academic Publishing |
| Publication date | 27 April 2017 |
| Language | English |
| Print length | 124 pages |
| ISBN-10 | 3330079568 |
| ISBN-13 | 978-3330079564 |
| Dimensions | 15.01 x 0.71 x 22 cm |
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Study of Combustion Parameters Under Variable Compression Ratio
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English edition Pradip Patil Format: Paperback Mechanical Engineering Editorial Review
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Features & Benefits
- Comprehensive research on combustion parameters in diesel engines.
- Focuses on variable compression ratios: 12.5, 15, and 17.5.
- Utilizes CFD analysis through ANSYS Fluent for accurate simulations.
- Analyzes key combustion metrics like cylinder pressure and temperature.
- Aims to enhance understanding and efficiency in diesel engine performance.
- Ideal for researchers and engineers looking to optimize combustion processes.
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