Optimizing performance in spark ignition engines with simulation metamodels

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dc.citation.journalTitleInternational Journal On Interactive Design And Manufacturing
dc.contributor.authorZutta E.
dc.contributor.authorAcosta D.
dc.contributor.authorDiaz G.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Procesosspa
dc.contributor.researchgroupProcesos Ambientales (GIPAB)spa
dc.creatorZutta E.
dc.creatorAcosta D.
dc.creatorDiaz G.
dc.date.accessioned2021-04-16T20:27:39Z
dc.date.available2021-04-16T20:27:39Z
dc.date.issued2019-01-01
dc.description.abstractThis work develops a systematic methodology able to identify the desired work points, the metamodels were evaluated varying air–fuel ratio, ignition timing, compression ratio, and combustion duration using design of computer experiments and RSM. It provide the possibility to determine optimal control parameters, according to selected objectives and operating constraints. This methodology is able to automatically identify the optimal engine calibration with less computational effort. Only in this way, the reliability of an integrated metamodel/optimizer approach can be included in a general-purpose that is to identify the engine calibration that minimizes motor vehicle emissions according to European emission standards (European Union in Off J Eur Union 50, 2007). As long as it improves mean effective pressure and reduces exergy destruction due to heat transfer and combustion process. Since, in internal combustion engines, more than 30–40 % of fuel energy wastes through the exhaust and just 12–25 % of the fuel energy converts to useful work. So, researchers are motivated to recover the heat from the waste sources in engines using the ways which not only reduce the demand of fossil fuels, but also reduce the harmful greenhouse gases and help to energy saving (Hatami et al. in Neural Comput Appl 25(7–8):2079–2090, 2014). The advantages of this contribution include the ability to study a wide range of parametric space and to independently evaluate physical and chemical processes, and detailed in-cylinder information, which is normally not available or is inaccessible in experiments. The uncertainty of the information in this unexplored design region can be quantified. Finally, the problem of optimizing involves three optimization fronts, energetic, economic and ecological (Chica and Torres in Int J Interact Des Manuf 12(1):355–392, 2018). © 2019, Springer-Verlag France SAS, part of Springer Nature.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8767
dc.identifier.doi10.1007/s12008-019-00579-2
dc.identifier.issn19552513
dc.identifier.issn19552505
dc.identifier.otherWOS;000478773600027
dc.identifier.otherSCOPUS;2-s2.0-85065726902
dc.identifier.urihttp://hdl.handle.net/10784/29409
dc.language.isoeng
dc.publisherSpringer-Verlag France
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85065726902&doi=10.1007%2fs12008-019-00579-2&partnerID=40&md5=7e48956702030d908f14839c08f50dfe
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1955-2513
dc.sourceInternational Journal On Interactive Design And Manufacturing
dc.subjectCalibrationeng
dc.subjectEnergy conservationeng
dc.subjectFossil fuelseng
dc.subjectGreenhouse gaseseng
dc.subjectHeat transfereng
dc.subjectInternal combustion engineseng
dc.subjectWaste incinerationeng
dc.subjectCentral composite designseng
dc.subjectDesign of computer experimentseng
dc.subjectEngine performanceeng
dc.subjectExhaust emissioneng
dc.subjectMean effective pressureeng
dc.subjectMotor vehicle emissionseng
dc.subjectResponse surface methodologyeng
dc.subjectSystematic methodologyeng
dc.subjectIgnitioneng
dc.titleOptimizing performance in spark ignition engines with simulation metamodelseng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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