Scopus
🔓 Açık Erişim
Prediction of diesel engine performance, emissions and cylinder pressure obtained using Bioethanol-biodieseldiesel fuel blends through an artificial neural network
Journal of Energy in Southern Africa · Ocak 2015
Makale Bilgileri
DergiJournal of Energy in Southern Africa
Yayın TarihiOcak 2015
Cilt / Sayfa26 · 74-83
Scopus ID2-s2.0-84937036714
Erişim🔓 Açık Erişim
Özet
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.
Yazarlar (1)
1
Hasan Aydogan
Anahtar Kelimeler
Artificial neural networks
Biodiesel fuel
Bioethanol
Diesel engine
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
9
Atıf
1
Yazar
4
Anahtar Kelime