Performance and exhaust emissions of a biodiesel engine

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dc.contributor.authorÇanakçı, Mustafa
dc.contributor.authorErdil, Ahmet
dc.contributor.authorArcaklıoğlu, Erol
dc.date.accessioned2020-06-25T17:43:32Z
dc.date.available2020-06-25T17:43:32Z
dc.date.issued2006
dc.descriptionARCAKLIOGLU, Erol/0000-0001-8073-5207; ERDIL, AHMET/0000-0002-6659-1195
dc.description.abstractIn this study, the applicabilities of Artificial Neural Networks (ANNs) have been investigated for the performance and exhaust-emission values of a diesel engine fueled with biodiesels from different feedstocks and petroleum diesel fuels. The engine performance and emissions characteristics of two different petroleum diesel-fuels (No. I and No. 2), biodiesels (from soybean oil and yellow grease). and their 20% blends with No. 2 diesel fuel were used as experimental results. The fuels were tested at full load (100%) at 1400-rpm engine speed, where the engine torque was 257.6 Nm. To train the network, the average molecular weight, net heat of combustion, specific gravity, kinematic viscosity, C/H ratio and cetane number of each fuel are used as the input layer, while outputs are the brake specific fuel-consumption, exhaust temperature, and exhaust emissions. The back-propagation learning algorithm with three different variants, single layer, and logistic sigmoid transfer function were used in the network. By using weights in the network, formulations have been given for each output. The network has yielded R-2 values of 0.99 and the mean % errors are smaller than 4.2 for the training data, while the R-2 values are about 0.99 and the mean%, errors are smaller than 5.5 for the test data. The performance and exhaust emissions from a diesel engine, using biodiesel blends with No. 2 diesel fuel Lip to 20%,, have been predicted using the ANN model. (C) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1016/j.apenergy.2005.05.003
dc.identifier.endpage605en_US
dc.identifier.issn0306-2619
dc.identifier.issn1872-9118
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-33644895012
dc.identifier.scopusqualityQ1
dc.identifier.startpage594en_US
dc.identifier.urihttps://doi.org10.1016/j.apenergy.2005.05.003
dc.identifier.urihttps://hdl.handle.net/20.500.12587/3769
dc.identifier.volume83en_US
dc.identifier.wosWOS:000236427000006
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofApplied Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural-networken_US
dc.subjectbiodieselen_US
dc.subjectengine performanceen_US
dc.subjectexhaust emissionsen_US
dc.titlePerformance and exhaust emissions of a biodiesel engineen_US
dc.typeArticle

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