Experimental Study and Prediction of Performance and Emission in an SI Engine Using Alternative Fuel with Artificial Neural Network

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dc.contributor.authorBalki, Mustafa Kemal
dc.contributor.authorÇavuş, Volkan
dc.contributor.authorDuran, İsmail Umut
dc.contributor.authorTuna, Resul
dc.contributor.authorSayın, Cenk
dc.date.accessioned2025-03-23T19:11:48Z
dc.date.available2025-03-23T19:11:48Z
dc.date.issued2018
dc.departmentSinop Üniversitesi
dc.description.abstractIn this study, firstly, the effect of compression ratio (CR), air excess coefficient (AEC) and ignition timing (IGT) on the performance and exhaust emissions in a spark ignition (SI) engine fueled with pure ethanol was experimentally investigated. The engine tests were conducted for four varied CR, three types of AEC and three different IGT at 2400 rpm, and the performance and exhaust emission of the engine were recorded. The results obtained from the pure ethanol were compared with those of the gasoline. Secondly, the performance and exhaust emission of SI engine for the same test conditions were estimated with a backpropagation artificial neural network (ANN) model. The ANN model was created using the C# programming language. The ANN model was trained with the data obtained from the experimental study. The engine torque, brake specific fuel consumption (BSFC), hydrocarbon (HC) emission and carbon dioxide (CO2) emission were estimated by the backpropagation ANN model. When the experimental data were compared with the predicted values, it was seen that the error percentages of the difference were acceptable. When the results were generally evaluated, it was observed that was improved of the performance and exhaust emissions as using pure ethanol at lowering the IGT and increasing the CR. In addition, it is seen that the ANN model can be used to estimate the performance and emissions of an SI engine using alternative fuels.
dc.identifier.doi10.18245/ijaet.438048
dc.identifier.endpage64
dc.identifier.issn2146-9067
dc.identifier.issue1
dc.identifier.startpage58
dc.identifier.trdizinid297607
dc.identifier.urihttps://doi.org/10.18245/ijaet.438048
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/297607
dc.identifier.urihttps://hdl.handle.net/11486/3656
dc.identifier.volume7
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofInternational Journal of Automotive Engineering and Technologies
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250323
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectMühendislik
dc.subjectMakine
dc.subjectEnerji ve Yakıtlar
dc.titleExperimental Study and Prediction of Performance and Emission in an SI Engine Using Alternative Fuel with Artificial Neural Network
dc.typeArticle

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