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dc.contributor.authorGürgen, Samet
dc.contributor.authorAltın, İsmail
dc.date.accessioned12.07.201910:50:10
dc.date.accessioned2019-07-12T22:06:25Z
dc.date.available12.07.201910:50:10
dc.date.available2019-07-12T22:06:25Z
dc.date.issued2018
dc.identifier.citationSamet, G., Ismail, A. (2018). Prediction of Engine Performance and Exhaust Emissions using Artificial Neural Network in a Compression Ignition Engine Fueled with Butanol-Diesel Fuel. Pamukkale Unıversity Journal Of Engineering Sciences. 24(4), 576-581. https://doi.org/10.5505/pajes.2017.69926en_US
dc.identifier.issn1300-7009
dc.identifier.issn2147-5881
dc.identifier.urihttps://doi.org/10.5505/pajes.2017.69926
dc.identifier.urihttps://hdl.handle.net/20.500.12508/713
dc.descriptionWOS: 000441810300001en_US
dc.description.abstractIn this study, engine performance and exhaust emission of a Diesel engine (CI) at full load and various speeds conditions using only Diesel fuel and five different blends with butanol (3, 6, 9, 12 and 15 v/v %) were modeled by using Artificial Neural Network (ANN). A single-cylinder diesel engine was used in the experimental studies. Single layer, logistic sigmoid transfer function Scaled Conjugate Gradient and Levenberg-Marquardt algorithms were used in the presented ANN model. Input layer includes engine speed and blending ratio. Output layer includes parameters of brake specific fuel consumption, effective efficiency, NOx emission and CO emission. Mean absolute percentage error (MAPE) data and mean square error (MSE) and were calculated for performance of the networks. It was obtained that there was a consistency among the presented ANN model and the data obtained from experiments.en_US
dc.language.isoturen_US
dc.publisherPamukkale Unıversityen_US
dc.relation.isversionof10.5505/pajes.2017.69926en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDiesel enginesen_US
dc.subjectArtificial neural networksen_US
dc.subjectEngine performance and exhaust emissionsen_US
dc.subject.classificationEngineeringen_US
dc.subject.classificationMultidisciplinaryen_US
dc.subject.otherBlendsen_US
dc.subject.otherEthanolen_US
dc.titlePrediction of engine performance and exhaust emissions using artificial neural network in a compression ignition engine fueled with butanol-diesel fuelen_US
dc.title.alternativeBütanol-Diesel yakıtı kullanılan bir sıkıştırma ateşlemeli motorda motor performansı ve egzoz emisyonlarının yapay sinir ağları ile tahmini
dc.typearticleen_US
dc.relation.journalPamukkale University Journal of Engineering Scienceen_US
dc.relation.journalPamukkale Üniversitesi Mühendislik Bilimleri Dergisien_US
dc.contributor.departmentBarbaros Hayrettin Gemi İnşaatı ve Denizcilik Fakültesi -- Gemi İnşaatı ve Gemi Makineleri Mühendisliği Bölümüen_US
dc.contributor.authorID0000-0001-7036-8829en_US
dc.contributor.authorID0000-0002-7587-9537en_US
dc.identifier.volume24en_US
dc.identifier.issue4en_US
dc.identifier.startpage576en_US
dc.identifier.endpage581en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorGürgen, Sameten_US
dc.relation.indexWeb of Science Core Collection - Emerging Sources Citation Indexen_US


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