Ann based prediction of engine performance and exhaust emission responses of a ci engine powered by ternary blends

dc.contributor.authorKaragöz, Mustafa
dc.date.accessioned2024-09-29T16:30:47Z
dc.date.available2024-09-29T16:30:47Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn this study, experimental data was collected from a single cylinder diesel engine fueled by pyrolytic oil, neat diesel and butanol fuel blends. The experimentswere conducted at various engine loads, namely from 0.25 kW to 1.25 kW by0.25 kW increment. The engine performance and exhaust emission data obtainedwere modeled using an artificial neural network (ANN) algorithm. CO, NOx,BSFC, and BTE were considered in the ANN model. The results were discussedin terms of R2, MBE, and RMSE metrics. R2 value of the performance and exhaustemission responses’ prediction were 0.986, 0.963, 0.991, and 0967 for BTE,BSFC, NOx, and CO, respectively, and in addition, all MBE value was very closeto zero and smaller than 1.14. As a conclusion, the present paper showed thatperformance and exhaust emission responses of ternary fuels can be accuratelypredicted using an artificial neural networken_US
dc.identifier.doi10.30939/ijastech..771789
dc.identifier.endpage184en_US
dc.identifier.issue3en_US
dc.identifier.startpage180en_US
dc.identifier.trdizinid357642en_US
dc.identifier.urihttps://doi.org/10.30939/ijastech..771789
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/357642
dc.identifier.urihttps://hdl.handle.net/20.500.14619/10901
dc.identifier.volume4en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorKaragöz, Mustafa
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Automotive Science and Technologyen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleAnn based prediction of engine performance and exhaust emission responses of a ci engine powered by ternary blendsen_US
dc.typeArticleen_US

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