Performance analysis of a turbocharged diesel engine using biodiesel with back propagation artificial neural network

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dc.contributor.authorAydoğan, Hasan
dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorÖzçelik, Abdullah Engin
dc.date.accessioned2020-03-26T18:15:35Z
dc.date.available2020-03-26T18:15:35Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis paper determines, using artificial neural network (ANN), performance of a turbocharged diesel engine using biodiesel produced from cotton and rapeseed oils through transesterification. To acquire data for training and testing of the proposed ANN, a three-cylinder, four-stroke test engine was fuelled with biodiesel-eurodiesel blended fuels with various percentages of biodiesel (B2, B5%), and operated at different engine speeds and loads. Backpropagation algorithms for the engine was developed using some of the experimental data for training. The performance of the ANN was validated by comparing the prediction dataset with the experimental results.It was observed that the ANN model can predict the engine performance quite well with correlation coefficient (R) 0.99, 0.98, 0.92 and 0.98 for the engine power, the engine torque, the specific fuel consumption (SFC) and exhaust gas temperature, respectively. The prediction MSE (Mean Square Error) error was between the desired outputs as measured values and the simulated values were obtained as 0.0004 by the model.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects CenterSelcuk Universityen_US
dc.description.sponsorshipThis study was supported by Selcuk University Scientific Research Projects Center.en_US
dc.identifier.endpage468en_US
dc.identifier.issn1308-772Xen_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage459en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26711
dc.identifier.volume28en_US
dc.identifier.wosWOS:000291125500047en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSILA SCIENCEen_US
dc.relation.ispartofENERGY EDUCATION SCIENCE AND TECHNOLOGY PART A-ENERGY SCIENCE AND RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBiodieselen_US
dc.subjectDiesel engineen_US
dc.subjectEngine performanceen_US
dc.subjectExhaust emissionen_US
dc.titlePerformance analysis of a turbocharged diesel engine using biodiesel with back propagation artificial neural networken_US
dc.typeArticleen_US

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