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The changes in the performance, emission and combustion characteristics of bioethanol-safflower biodiesel and diesel fuel blends used in a common rail diesel engine were investigated in this experimental study. E20B20D60 (20% bioethanol, 20% biodiesel, 60% diesel fuel by volume), E30B20D50, E50B20D30 and diesel fuel (D) were used as fuel. Engine power, torque, brake specific fuel consumption, NOx and cylinder inner pressure values were measured during the experiment. With the help of the obtained experimental data, an artificial neural network was created in MATLAB 2013a software by using back-propagation algorithm. Using the experimental data, predictions were made in the created artificial neural network. As a result of the study, the correlation coefficient was found as 0.98. In conclusion, it was seen that artificial neural networks approach could be used for predicting performance and emission values in internal combustion engines.

Abstract-The economic value of biofuels has been increasing in the area of energy and in other areas of use due to the increasing energy crisis. The use of ethanol in engines is more common in countries where agricultural crops are abundantly cultivated. Ethanol is a convenient fuel for spark-ignition engines owing to its characteristics and it can be used in engines singly or by blending with gasoline at certain rates. It has been observed that the use of ethanol in motor vehicles results in decreased exhaust emissions of harmful pollutants.In this study, bioethanol produced from sugar beet was used as a blending component. Gasoline-bioethanol blends containing 2% and 5% ethanol by volume were used as fuel in a gasoline engine vehicle and 95 octane gasoline was accepted as the control fuel. As a result of the experiments carried out, it was observed that the use of ethanol resulted in a decrease in CO, CO 2 , HC and NOx emissions and an increase was observed in the value of O 2 emissions in the exhaust.

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