Prediction of Diesel Engine Performance Using Biofuels with Artificial Neural Network

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dc.contributor.authorOğuz, Hidayet
dc.contributor.authorSarıtaş, İsmail
dc.contributor.authorBaydan, Hakan Emre
dc.date.accessioned2020-03-26T18:04:50Z
dc.date.available2020-03-26T18:04:50Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractBiodiesel, bioethanol and biogas are the most important alternative fuels produced by using biologic origin sources. Effect of biofuel on engine performance is one of the research subjects of today. The engine experiments to test the engines are many times are hard, time consuming and high cost. Additionally, it is impossible to perform the test outside of limiting values. In this study, an artificial neural network, an artificial intelligence technique, is developed to successfully apply on automotive sector as well as many different areas of technology aiming to overcome difficulties of the experiments, minimize the cost, time and workforce waste. Diesel fuel, biodiesel, B20 and bioethanol-diesel fuel having different percentages (5%, 10%, and 15%) and biodiesel were mixed together, to use in developed artificial neural network Mixtures were also controlled for their fuel properties and motor experiments were performed to collect the reference values. Power, moment, hourly fuel consumption and specific fuel consumption were estimated by using the artificial neural network developed by using the reference values. Estimated values and experiment results are compared. As a result, from the performed statistical analyses, it is seen that realized artificial intelligence model is an appropriate model to estimate the performance of the engine used in the experiments. Reliability value is calculated as 99.94% (p = 0.9994 and p > 0.05) by using statistical analyses.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk Universityen_US
dc.description.sponsorshipThis study has been supported by Selcuk University's Scientific Research Unit (BAP).en_US
dc.identifier.citationOğuz, H., Sarıtaş, İ., Baydan, H. E., (2010). Prediction of Diesel Engine Performance Using Biofuels with Artificial Neural Network. Expert Systems with Applications, (37), 6579-6586. Doi: 10.1016/j.eswa.2010.02.128
dc.identifier.doi10.1016/j.eswa.2010.02.128en_US
dc.identifier.endpage6586en_US
dc.identifier.issn0957-4174en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage6579en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eswa.2010.02.128
dc.identifier.urihttps://hdl.handle.net/20.500.12395/25171
dc.identifier.volume37en_US
dc.identifier.wosWOS:000278424600053en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorOğuz, Hidayet
dc.institutionauthorSarıtaş, İsmail
dc.institutionauthorBaydan, Hakan Emre
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networken_US
dc.subjectBiodieselen_US
dc.subjectE-dieselen_US
dc.subjectBioethanolen_US
dc.subjectEngine performanceen_US
dc.titlePrediction of Diesel Engine Performance Using Biofuels with Artificial Neural Networken_US
dc.typeArticleen_US

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