Development of simulation metamodels to predict the performance and exhaust emission parameters of a spark ignition engine

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dc.citation.journalTitleInternational Journal On Interactive Design And Manufacturing
dc.contributor.authorZutta E.
dc.contributor.authorAcosta D.
dc.contributor.authorDuque A.
dc.contributor.authorDiaz A.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Procesosspa
dc.contributor.researchgroupProcesos Ambientales (GIPAB)spa
dc.creatorZutta E.
dc.creatorAcosta D.
dc.creatorDuque A.
dc.creatorDiaz A.
dc.date.accessioned2021-04-16T20:27:39Z
dc.date.available2021-04-16T20:27:39Z
dc.date.issued2019-01-01
dc.description.abstractDeveloping more energy-efficient and environmentally friendly transportation technologies, that can enable to use significantly less petroleum and to reduce regulated emissions while meeting or exceeding drivers’ performance expectations, has always been one of the main challenges in automotive technology. Therefore, based on an experimental dataset, metamodels were generated using design of computer experiments and central composite design technique in order to accurately predict carbon monoxide (CO), oxides of nitrogen (NO x), hydrocarbon (HC) and carbon dioxide (CO 2) emissions, mean effective pressure and exergy destruction due to heat transfer and combustion process. Combustion metamodels was evaluated varying air–fuel ratio, ignition timing [(°CAD) Crank Angle Degrees], compression ratio, and combustion duration (°) on the performance of a Spark Ignition (SI) engine at constant speed of 750 rpm. Because SI gasoline engines always encounter the decreased thermal efficiency and increased toxic emissions at idle (Jurgen in Automotive electronics handbook, McGraw-Hill, New York, 1995). The Akaike information criterion was applied to automatically select the best metamodel for each case. © 2019, Springer-Verlag France SAS, part of Springer Nature.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=9886
dc.identifier.doi10.1007/s12008-019-00633-z
dc.identifier.issn19552513
dc.identifier.issn19552505
dc.identifier.otherWOS;000495286200001
dc.identifier.otherSCOPUS;2-s2.0-85074820567
dc.identifier.urihttp://hdl.handle.net/10784/29414
dc.language.isoeng
dc.publisherSpringer-Verlag France
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85074820567&doi=10.1007%2fs12008-019-00633-z&partnerID=40&md5=d8c891ab87645e3950ada9f28c1cf880
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1955-2513
dc.sourceInternational Journal On Interactive Design And Manufacturing
dc.subjectCentral composite design (CCD)eng
dc.subjectEngine performanceeng
dc.subjectExhaust emissionseng
dc.subjectResponse surface methodology (RSM)eng
dc.subjectSpark-Ignition engineeng
dc.titleDevelopment of simulation metamodels to predict the performance and exhaust emission parameters of a spark ignition engineeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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