In this paper, a model is described to predict performance parameters and emissions of a spark ignition (SI) engine using genetic programming (GP). To acquire data for training and testing of proposed GP, a four-cylinder engine was fueled with ethanol-gasoline fuel blends. The pure gasoline fuel was blended with various percentages of bio-ethanol (0, 5, 10, 15 and 20%), and the engine brake power, the torque and exhaust emissions (CO, HC, CO2 and NOX) were measured at different engine speeds and loads. Experimental results showed that as the ratio of the ethanol fuel was increased in the blend, CO and HC emissions were decreased but the brake power, the torque, CO2 and NOX were increased. Numerous runs were performed with the GP model and the performance of developed equations was evaluated. Optimum models were selected according to statistical criteria of the root mean square error (RMSE) and the coefficient of determination (R2). Simulation results demonstrated that the GP model was a powerful tool to predict engine pollutant emissions.
Kiani Deh Kiani,M. , Ghobadian,B. , Ommi,F. and Najafi,G. (2022). Modeling of an SI engine performance parameters and emissions using bio-ethanol-gasoline blends by genetic programming. The Journal of Engine Research, 27(27), 47-57.
MLA
Kiani Deh Kiani,M. , , Ghobadian,B. , , Ommi,F. , and Najafi,G. . "Modeling of an SI engine performance parameters and emissions using bio-ethanol-gasoline blends by genetic programming", The Journal of Engine Research, 27, 27, 2022, 47-57.
HARVARD
Kiani Deh Kiani M., Ghobadian B., Ommi F., Najafi G. (2022). 'Modeling of an SI engine performance parameters and emissions using bio-ethanol-gasoline blends by genetic programming', The Journal of Engine Research, 27(27), pp. 47-57.
CHICAGO
M. Kiani Deh Kiani, B. Ghobadian, F. Ommi and G. Najafi, "Modeling of an SI engine performance parameters and emissions using bio-ethanol-gasoline blends by genetic programming," The Journal of Engine Research, 27 27 (2022): 47-57,
VANCOUVER
Kiani Deh Kiani M., Ghobadian B., Ommi F., Najafi G. Modeling of an SI engine performance parameters and emissions using bio-ethanol-gasoline blends by genetic programming. Engine, 2022; 27(27): 47-57.