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Prediction of engine performance and emissions with Manihot glaziovii bioethanol ? Gasoline blended using extreme learning machine

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dc.citedby22
dc.contributor.authorSebayang A.H.en_US
dc.contributor.authorMasjuki H.H.en_US
dc.contributor.authorOng H.C.en_US
dc.contributor.authorDharma S.en_US
dc.contributor.authorSilitonga A.S.en_US
dc.contributor.authorKusumo F.en_US
dc.contributor.authorMilano J.en_US
dc.contributor.authorid39262519300en_US
dc.contributor.authorid57175108000en_US
dc.contributor.authorid55310784800en_US
dc.contributor.authorid57217370281en_US
dc.contributor.authorid39262559400en_US
dc.contributor.authorid56611974900en_US
dc.contributor.authorid57052617200en_US
dc.date.accessioned2023-05-29T06:37:28Z
dc.date.available2023-05-29T06:37:28Z
dc.date.issued2017
dc.descriptionAlternative fuels; Brakes; Carbon; Carbon monoxide; Diesel engines; Engine cylinders; Engines; Ethanol; Fuel consumption; Fuels; Gasoline; Knowledge acquisition; Learning systems; Nitrogen oxides; Speed; Brake specific fuel consumption; Coefficient of determination; Engine performance; Exhaust emission; Extreme learning machine; Manihot glaziovii; Mean absolute percentage error; Nitrogen oxide emissions; Bioethanolen_US
dc.description.abstractBioethanol can potentially replace gasoline because of its lower exhaust emissions. The purpose of this study was to investigate the engine performance and exhaust emissions of Manihot glaziovii bioethanol�gasoline blends at different blend ratios (5%, 10%, 15%, and 20%). Tests were performed on a single-cylinder, four-stroke spark-ignition engine with engine speed was varied from 1600 to 3400 rpm, and the properties of the Manihot glaziovii bioethanol�gasoline blends were measured and analysed. The vapour pressure increased for fuel blends with low concentrations of bioethanol due to the oxygen within the bioethanol molecules and the contribution of the flame speed which can enhance the combustion and improved the engine efficiency. In addition, the engine torque, brake power, and brake-specific fuel consumption (BSFC) were measured, as well as the carbon monoxide (CO), hydrocarbon (HC), and nitrogen oxide emissions. For a fuel blend containing 20% bioethanol at an engine speed of 3200 rpm, the BSFC decreased, with maximum values of 270.7 g/kWh. The CO and HC emissions were lower for the Manihot glaziovii bioethanol�gasoline blends. In addition, an extreme learning machine (ELM) model was developed for application in the automotive and industrial sectors. This tool reduces the cost, time, and effort associated with experimental data. The blend ratio of the bioethanol�gasoline blends and the engine speed were used as the input data of the model, and the engine performance and exhaust emissions parameters were used as the output data. The coefficient of determination (R2) was within a range of 0.980�1.000, and the mean absolute percentage error was within a range of 0.411%?2.782% for all the parameters. The results indicate that the ELM model is capable of predicting the engine performance and exhaust emissions of bioethanol�gasoline fuel blends. � 2017 Elsevier Ltden_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.fuel.2017.08.102
dc.identifier.epage921
dc.identifier.scopus2-s2.0-85029417416
dc.identifier.spage914
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85029417416&doi=10.1016%2fj.fuel.2017.08.102&partnerID=40&md5=c3590aab07d2a68136ff5e84fd3ab8a3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23020
dc.identifier.volume210
dc.publisherElsevier Ltden_US
dc.sourceScopus
dc.sourcetitleFuel
dc.titlePrediction of engine performance and emissions with Manihot glaziovii bioethanol ? Gasoline blended using extreme learning machineen_US
dc.typeArticleen_US
dspace.entity.typePublication
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