Predict the characteristics of the DI engine with various injection timings by Glycine max oil biofuel using artificial neural networks

• Main Authors: Rajak, Upendra, Panchal, Manoj, Dasore, Abhishek, Verma, Tikendra Nath, Chaurasiya, Prem Kumar
• Format: Article
• Published: Springer 2024
• Online Access: http://psasir.upm.edu.my/id/eprint/113930/; https://link.springer.com/article/10.1007/s11356-024-34429-w?error=cookies_not_supported&code=d1f4e543-d828-48bd-95fb-442e7212c504
• Institution: Universiti Putra Malaysia

Glycine max oil biofuel (GMOB) is a product of the transesterification of soybean oil. It contains a substantial amount of thermal energy. In this study, the result of varying fuel injection timings on the performance, ignition, and exhaust parameters of a research engine with single-cylinder, four-stroke with direct injection (DI) diesel was experimentally investigated and optimised using artificial neural networks (ANN). The results demonstrated that a 20% fuel blend with 24.5° before top dead centre (b TDC) decreased brake thermal efficiency (BTE), NOx emissions, and exhaust cylinder temperature but improved fuel consumption, carbon dioxide emissions (CDE), and smoke emissions. With 26.5° b TDC, the BTE was found to be approximately 5.0% higher while the fuel consumption was approximately 2.0% lower than with the original injection timing of 24.5° b TDC. At 26.5° b TDC, the NOx emission was approximately 8.6% higher, and the smoke emission was approximately 4.07% lower than at the original injection timing (24.5° b TDC).