Prediction of a diesel engine characteristics by using different modelling techniques

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dc.contributor.authorBerber A.
dc.contributor.authorTinkir M.
dc.contributor.authorGültekin S.S.
dc.contributor.authorÇelikten I.
dc.date.accessioned2020-03-26T18:22:18Z
dc.date.available2020-03-26T18:22:18Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the characteristics of a four-stroke internal combustion diesel engine have been investigated by means of artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) modelling techniques, using injection pressure, engine speed and torque. Injection pressure of diesel engine has been designed with a pressure of 150 bars for the turbo charger and pre-combustion chamber. The experiments have been implemented for four different pressure values, namely 100, 150, 200 and 250 bars with throttle positions of 50, 75 and 95%. Brake means effective pressure (BMEP), fuel flow (FF), specific fuel consumption (SFC) were obtained from experimental results for four different injection pressure. The proposed ANNs and ANFIS models are composed of the results of implemented measurements. ANNs model of the diesel engine has two subsystem. The first subsystem has two outputs (BMEP, FF) and the second subsystem has single output as specific fuel consumption (SFC). In first subsystem ANNs model, both mean effective pressure and fuel flow parameters are computed concurrently. ANFIS model of system has three inputs and outputs as injection pressure, engine speed, torque, BMEP, FF and SFC, respectively. The performance of ANNs and ANFIS models are compared with each other in same figures for same experimental data. The results of modeling techniques of a four-stroke internal combustion diesel engine are observed to be very close with the experimental results. ©2011 Academic Journals.en_US
dc.identifier.endpage3990en_US
dc.identifier.issn1992-1950en_US
dc.identifier.issue16en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage3977en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27273
dc.identifier.volume6en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Physical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural network and adaptive neuro-fuzzy inference systemen_US
dc.subjectBrake mean effective pressureen_US
dc.subjectDiesel engineen_US
dc.subjectFuel flowen_US
dc.subjectSpecific fuel consumptionen_US
dc.titlePrediction of a diesel engine characteristics by using different modelling techniquesen_US
dc.typeArticleen_US

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