Multi-objective optimization of a diesel engine fueled with different fuel types containing additives using grey-based Taguchi approach

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dc.authoridMehregan, Mina/0000-0002-3127-2565
dc.authoridCelik, Mehmet/0000-0001-7364-370X
dc.contributor.authorCelik, Mehmet
dc.contributor.authorBayindirli, Cihan
dc.contributor.authorMehregan, Mina
dc.date.accessioned2024-09-29T15:51:26Z
dc.date.available2024-09-29T15:51:26Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractDue to the reduction of fossil fuels' resources and their contribution to environmental problems, biodiesel fuels have attracted significant attention as substitutes for diesel fuels. However, since their NOx emissions are higher than that of diesel fuels in most cases and also because of their higher viscosity than diesel, fuel additives are used to enhance their properties and reduce emissions. In this study, the effect of n-hexane and n-hexadecane addition to biodiesel and diesel fuels on exhaust emissions and performance of a single-cylinder diesel engine was investigated by using grey-based Taguchi method. Fuel additive, the additive amount, and fuel type were considered as the operating parameters. Three fuel types including diesel, rapeseed oil biodiesel, and cottonseed oil biodiesel were used in this investigation, while n-hexane and n-hexadecane were considered as the two fuel additives. As well as, three levels were assigned to the additive amount which were 4, 8, and 12%. Based on the operating parameters and their levels, the plan of experiments was generated according to L-18 orthogonal array. Using grey relational analysis, this multi-response optimization problem was first transformed into a single response optimization. Then, this single system response, which is known as grey relational grade, was utilized in Taguchi approach for statistical evaluations. The results demonstrated that rapeseed was the best selection for fuel type compared to cottonseed and diesel in order to have the optimum system responses and hexadecane gave better results for system optimization in comparison with hexane additive. As well as, the analysis of variance showed that fuel type was the predominant operating factor influencing the grey relational grade which means fuel type was the most important parameter in the simultaneous optimization of exhaust emissions and engine performance. The Taguchi results also revealed that the optimum condition of engine performance and exhaust emissions happened when engine was fueled with rapeseed biodiesel containing 12% hexadecane as an additive. The confirmation test result validated the reliability of Taguchi approach in this investigation.en_US
dc.identifier.doi10.1007/s11356-021-18012-1
dc.identifier.endpage30284en_US
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue20en_US
dc.identifier.pmid34997500en_US
dc.identifier.scopus2-s2.0-85122501130en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage30277en_US
dc.identifier.urihttps://doi.org/10.1007/s11356-021-18012-1
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4079
dc.identifier.volume29en_US
dc.identifier.wosWOS:000740214300001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofEnvironmental Science and Pollution Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBiodieselen_US
dc.subjectFuel additiveen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectExhaust emissionen_US
dc.subjectTaguchi methoden_US
dc.subjectGrey relational analysisen_US
dc.titleMulti-objective optimization of a diesel engine fueled with different fuel types containing additives using grey-based Taguchi approachen_US
dc.typeArticleen_US

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