Year 2021, Volume 5 , Issue 1, Pages 43 - 51 2021-03-31

Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends

Özer CAN [1] , Erkan ÖZTÜRK [2] , Erol ARCAKLIOĞLU [3]


In this study, the performance and exhaust emission values in a four-stroke, four-cylinder turbocharged Diesel engine fueled with ethanol-diesel fuel blends (10% and 15% in volume) were investigated by using Artificial Neural Network (ANN) modeling. The actual data derived from engine test measurements was applied in model training, cross-validation, and testing. To train the network, fuel injection pressures, throttle positions, engine speed, and ethanol fuel blend ratios were used as input layer in the network. The outputs are the engine performance values (engine torque, power, brake mean effective pressure, and specific fuel consumption) and exhaust emissions (SO2, CO2, NOx, and smoke level (N%)) which were measured in the experiments.
The back-propagation learning algorithm with three different variants, a single layer, and logistic sigmoid transfer function (log-sig) was used in the network. By using the weights of the network, formulations were given for each output. The network for test data yielded the R2 values of 0.999 and the mean % errors for test data are smaller than 3.5% for the performance and 8% for the emissions.
Artificial neural network, Diesel engine performance, Ethanol-diesel fuel, Exhaust emissions
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Primary Language en
Subjects Engineering, Mechanical
Journal Section Research Articles
Authors

Orcid: 0000-0002-7724-755X
Author: Özer CAN (Primary Author)
Institution: Pamukkale University, Technology Faculty, Automotive Engineering Department
Country: Turkey


Orcid: 0000-0002-6142-972X
Author: Erkan ÖZTÜRK
Institution: Pamukkale University, Faculty of Technology, Automotive Engineering Department
Country: Turkey


Orcid: 0000-0001-8073-5207
Author: Erol ARCAKLIOĞLU
Institution: Ankara Yıldırım Beyazıt University, Faculty of Engineering and Natural Sciences, Mechanical Engineering Department
Country: Turkey


Thanks The authors would like to thank the valuable supports of emeritus Prof. Dr. İsmet ÇELİKTEN.
Dates

Application Date : October 7, 2020
Acceptance Date : December 18, 2020
Publication Date : March 31, 2021

Bibtex @research article { ijastech805531, journal = {International Journal of Automotive Science And Technology}, issn = {}, eissn = {2587-0963}, address = {Gazi Üniversitesi Teknoloji Fakültesi Otomotiv Mühendisliği Bölümü, Teknikokullar, Ankara}, publisher = {Otomotiv Mühendisleri Derneği}, year = {2021}, volume = {5}, pages = {43 - 51}, doi = {10.30939/ijastech..805531}, title = {Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends}, key = {cite}, author = {Can, Özer and Öztürk, Erkan and Arcaklıoğlu, Erol} }
APA Can, Ö , Öztürk, E , Arcaklıoğlu, E . (2021). Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends . International Journal of Automotive Science And Technology , 5 (1) , 43-51 . DOI: 10.30939/ijastech..805531
MLA Can, Ö , Öztürk, E , Arcaklıoğlu, E . "Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends" . International Journal of Automotive Science And Technology 5 (2021 ): 43-51 <https://dergipark.org.tr/en/pub/ijastech/issue/59364/805531>
Chicago Can, Ö , Öztürk, E , Arcaklıoğlu, E . "Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends". International Journal of Automotive Science And Technology 5 (2021 ): 43-51
RIS TY - JOUR T1 - Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends AU - Özer Can , Erkan Öztürk , Erol Arcaklıoğlu Y1 - 2021 PY - 2021 N1 - doi: 10.30939/ijastech..805531 DO - 10.30939/ijastech..805531 T2 - International Journal of Automotive Science And Technology JF - Journal JO - JOR SP - 43 EP - 51 VL - 5 IS - 1 SN - -2587-0963 M3 - doi: 10.30939/ijastech..805531 UR - https://doi.org/10.30939/ijastech..805531 Y2 - 2020 ER -
EndNote %0 International Journal of Automotive Science and Technology Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends %A Özer Can , Erkan Öztürk , Erol Arcaklıoğlu %T Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends %D 2021 %J International Journal of Automotive Science And Technology %P -2587-0963 %V 5 %N 1 %R doi: 10.30939/ijastech..805531 %U 10.30939/ijastech..805531
ISNAD Can, Özer , Öztürk, Erkan , Arcaklıoğlu, Erol . "Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends". International Journal of Automotive Science And Technology 5 / 1 (March 2021): 43-51 . https://doi.org/10.30939/ijastech..805531
AMA Can Ö , Öztürk E , Arcaklıoğlu E . Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends. ijastech. 2021; 5(1): 43-51.
Vancouver Can Ö , Öztürk E , Arcaklıoğlu E . Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends. International Journal of Automotive Science And Technology. 2021; 5(1): 43-51.
IEEE Ö. Can , E. Öztürk and E. Arcaklıoğlu , "Artificial neural network based determination of the performance and emissions of a Diesel engine using ethanol-diesel fuel blends", International Journal of Automotive Science And Technology, vol. 5, no. 1, pp. 43-51, Mar. 2021, doi:10.30939/ijastech..805531