Tehnički vjesnik, Vol. 27 No. 1, 2020.
Izvorni znanstveni članak
https://doi.org/10.17559/TV-20181126111859
The Application of Neural Networks for Prediction of Concentration of Harmful Components in the Exhaust Gases of Diesel Engines
Ivan Grujić
orcid.org/0000-0003-0572-1205
; University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Nadica Stojanović*
orcid.org/0000-0002-4199-0587
; University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Jovan Dorić
; University of Novi Sad, Faculty of Technical Sciences, Trg Dositeja Obradovića 6, 21001 Novi Sad, Serbia
Danijela Miloradović
orcid.org/0000-0003-1427-9789
; University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Jasna Glišović
orcid.org/0000-0002-8251-1722
; University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Sažetak
Means of transport (vehicles) are a part of everyday life. The main purpose of the vehicles is to transport the goods and the passengers. The road traffic has the largest share in transport. Majority of the transport vehicles use the IC engine as a power unit. The application of engines driven by fossil fuels has caused the road traffic to exhibit its poor side in terms of harmful effect on environment and human health. The constant tightening of the legal regulations has led the engine manufacturers to continuously improve the IC engines. Determination of the exhaust emission parameters usually requires an experiment. The possibility of neural network application for pollutants concentration prediction in the exhaust gases from diesel engines based on experimental data is considered in this paper. Some inputs, not previously considered in the reviewed literature, are introduced into the developed model of the neural network. By comparison with experimental data, it was established that the developed neural network model can successfully predict concentration of pollutants and that it can be used for future research.
Ključne riječi
diesel engine; environment; legal regulations; road traffic; transport
Hrčak ID:
234235
URI
Datum izdavanja:
15.2.2020.
Posjeta: 1.598 *