Prediction of engine emissions and performance with artificial neural networks in a single cylinder diesel engine using diethyl ether

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dc.authoridUslu, Samet/0000-0001-9118-5108
dc.contributor.authorUslu, Samet
dc.contributor.authorCelik, Mustafa Bahattin
dc.date.accessioned2024-09-29T15:57:33Z
dc.date.available2024-09-29T15:57:33Z
dc.date.issued2018
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn the present study, the performance and exhaust emissions of a single-cylinder, direct-injection and air-cooled diesel engine using diethyl ether (DEE)-diesel fuel mixtures were estimated by artificial neural networks (ANN). The test engine was run with pure diesel and diesel-DEE blends at different engine speeds and loads to obtain the test and training data required to build the ANN model. In the designed ANN model, brake specific fuel consumption (BSFC), exhaust gas temperature (EGT), brake thermal efficiency (BTE), nitrogen oxides (NOx), hydrocarbons (HC), carbon monoxides (CO) and smoke were selected as the output layer while engine load, engine speed and fuel blending ratio were selected as input layer. An ANN model was developed using 75% of the experimental results for training. The performance of the ANN model was measured by comparing the test data generated from the unused part of the training. According to the obtained data, ANN model predicts exhaust emissions and engine performance with a regression coefficient (R2) at 0.964-0.9878 interval. At the same time, mean relative error (MRE) values ranged from 0.51% to 4.8%. These results show that the ANN model is able to use for estimating low-power diesel engine emissions and performance. (C) 2018 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2018.08.017
dc.identifier.endpage1201en_US
dc.identifier.issn2215-0986
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85052748124en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1194en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2018.08.017
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4879
dc.identifier.volume21en_US
dc.identifier.wosWOS:000449023100009en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science and Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectAlternative fuelsen_US
dc.subjectDiethyl etheren_US
dc.subjectDiesel engineen_US
dc.titlePrediction of engine emissions and performance with artificial neural networks in a single cylinder diesel engine using diethyl etheren_US
dc.typeArticleen_US

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