Data set of multi-objective optimization of diesel engine parameters

Area of Science:

• Internal Combustion Engines
• Alternative Fuels
• Combustion Optimization

Background:

• Improving engine efficiency and reducing harmful emissions are critical challenges in internal combustion engine research.
• Alternative fuels like butanol offer potential for cleaner and more efficient combustion.
• Optimizing key operational parameters is essential for maximizing the benefits of alternative fuels.

Purpose of the Study:

• To determine the optimal parameters for butanol-diesel blends in an internal combustion engine.
• To enhance brake thermal efficiency and reduce brake specific fuel consumption.
• To minimize oxides of nitrogen (NOx) and unburnt hydrocarbon (UHC) emissions.

Main Methods:

• Utilized an L9 orthogonal array experimental design for systematic analysis.
• Employed Grey Relational Analysis (GRA) to optimize multiple objective functions simultaneously.
• Investigated four parameters: blending fuel type, blending ratio, compression ratio, and injection timing, each at three levels.

Main Results:

• The optimal parameter set identified was butanol as the blending fuel, a 40% blending ratio, a 16:1 compression ratio, and an injection timing of 26° before top dead centre.
• This optimized configuration is expected to yield higher brake thermal efficiency and lower brake specific fuel consumption.
• The identified parameters are also anticipated to reduce oxides of nitrogen and unburnt hydrocarbon emissions.

Conclusions:

• The study successfully identified an optimized set of parameters for butanol-diesel blends using an L9 orthogonal array and GRA.
• The findings provide valuable data for improving the performance and environmental impact of internal combustion engines utilizing butanol.
• This research contributes to the development of more sustainable and efficient engine technologies.