Experimental investigation and artificial intelligence-based prediction of combustion and emission characteristics of DBM15 diesel fuel at variable injection timings in a compression ignition engine

Key Points

• Emission characteristics improved with optimized injection timing for DBM15 diesel fuel, showing significant reductions in pollutants.
• AI-based predictive modeling accurately estimated combustion outcomes based on variable injection timings during experiments.
• Assessment involved experimental techniques to investigate the combustion performance of DBM15 diesel fuel in engines under different conditions.
• These findings highlight the need for further research to integrate AI-driven insights into practical engine design and optimization.