Experimental and artificial neural network approach of noise and vibration characteristic of an unmodified diesel engine fuelled with conventional diesel, and biodiesel blends with natural gas addition

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dc.authoridTosun, Erdi/0000-0001-5733-2047
dc.authoridAYDIN, Kadir/0000-0002-1583-9605
dc.authoridYildizhan, Safak/0000-0002-8981-9869
dc.authoridCELEBI, Kerimcan/0000-0001-6294-0872
dc.authoridOzcanli, Mustafa/0000-0001-6088-2912
dc.contributor.authorCelebi, Kerimcan
dc.contributor.authorUludamar, Erinc
dc.contributor.authorTosun, Erdi
dc.contributor.authorYildizhan, Safak
dc.contributor.authorAydin, Kadir
dc.contributor.authorOzcanli, Mustafa
dc.date.accessioned2025-01-06T17:36:27Z
dc.date.available2025-01-06T17:36:27Z
dc.date.issued2017
dc.description.abstractReplacing conventional diesel fuel has gained great interest owing to environmental issues. Therefore all effect of alternative fuels must be well-known in order to forthcoming engine development concern. In this study acoustic and vibration effect of biodiesel and their blends were investigated on an unmodified diesel engine which enriched with natural gas. Throughout this work, experimental engine was fuelled with conventional diesel, sunflower and canola biodiesel blends with ratio of 20% and 40%, by volume. Furthermore, natural gas was inducted through intake manifold at various flow rates; 5 L/min, 10 L/min, and 15 L/min with intake air. Experiments revealed that, compared to conventional diesel fuel, sunflower and canola biodiesels decreased sound pressure level and vibration of the test engine. Addition of natural gas decreased the values even more. Furthermore, exhaust emission of the engine has been evaluated. Beside experimental study, an artificial neural network model was developed in order to predict sound pressure level and vibration of the engine. Artificial neural network results showed that, generated models were capable of estimation of parameters with high accuracy. (C) 2017 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.fuel.2017.01.113
dc.identifier.endpage173
dc.identifier.issn0016-2361
dc.identifier.issn1873-7153
dc.identifier.scopus2-s2.0-85013230931
dc.identifier.scopusqualityQ1
dc.identifier.startpage159
dc.identifier.urihttps://doi.org/10.1016/j.fuel.2017.01.113
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1889
dc.identifier.volume197
dc.identifier.wosWOS:000398669900017
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofFuel
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectArtificial neural network
dc.subjectBiodiesel
dc.subjectDiesel engine
dc.subjectEngine vibration
dc.subjectNatural gas
dc.subjectSound pressure level
dc.titleExperimental and artificial neural network approach of noise and vibration characteristic of an unmodified diesel engine fuelled with conventional diesel, and biodiesel blends with natural gas addition
dc.typeArticle

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