Advances in Automobile Engineering
Open Access
ISSN: 2167-7670
+44 1300 500008
ISSN: 2167-7670
+44 1300 500008
Sumit Roy, Ajoy Kumar Das and Rahul Banerjee
National Institute of Technology Agartala, India
Posters-Accepted Abstracts: Adv Automob Eng
In the present study an experiment was conducted to harness the synergetic benefit of Mahua (Madhuca indica) biodiesel to reduce PM emissions as compared to diesel. Upon doing with biodiesel subsequent experimentation yielded that there was a reduction of PM but with simultaneous increase in NOx emissions. To tackle this problem and without hurting the sentiment of renewability and sustainability of the fuel resource biomass derived sources, we choose ethanol as an in situ agent. An artificial neural network model was developed as a reliable and robust system identification tool to predict the BSFC, BTE, NHC and PM based on the experimental data with load and fuel blends as inputs for the network. The developed ANN model was capable of predicting the performance and emission parameters with commendable accuracy as observed from correlation coefficients within the range of 0.998833 to 0.999981, mean absolute percentage error in the range of 0.65-1.91% along with noticeably low root mean square errors. This suggests the inherent sensitivity and robustness of the network in its proficiency to map the performance and emission values simultaneously with excellent accuracy independent of the case of engine operation.
Email: sumitroy@hotmail.de