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hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorCAGIN, Stéphanie
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
hal.structure.identifierInstitut de Mécanique et d'Ingénierie de Bordeaux [I2M]
dc.contributor.authorFISCHER, Xavier
hal.structure.identifierLaboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
hal.structure.identifierENSIAME
dc.contributor.authorDELACOURT, Eric
hal.structure.identifierENSIAME
dc.contributor.authorBOURABAA, Nachida
hal.structure.identifierLaboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
hal.structure.identifierENSIAME
dc.contributor.authorMORIN, Céline
hal.structure.identifierLaboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 [LAMIH]
hal.structure.identifierENSIAME
dc.contributor.authorCOUTELLIER, Daniel
hal.structure.identifierAKIRA-Technologies, ZA Saint Frédéric, rue de la Galupe, 64100 Bayonne
dc.contributor.authorCARRE, Bertrand
hal.structure.identifierAKIRA-Technologies, ZA Saint Frédéric, rue de la Galupe, 64100 Bayonne
dc.contributor.authorLOUMÉ, Sylvain
dc.date.accessioned2021-05-14T09:53:36Z
dc.date.available2021-05-14T09:53:36Z
dc.date.created2015
dc.date.issued2015
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/77553
dc.description.abstractEnThe complexity of scavenging by ports and its impact on engine efficiency create the need to understand and to model it as realistically as possible. However, there are few empirical scavenging models and these are highly specialized. In a design optimization process, they appear very restricted and their field of use is limited. This paper presents a comparison of two methods to establish and reduce a model of the scavenging process in 2-stroke diesel engines. To solve the lack of scavenging models, a CFD model has been developed and is used as the referent case. However, its large size requires a reduction. Two techniques have been tested depending on their fields of application: The NTF method and neural networks. They both appear highly appropriate drastically reducing the model’s size (over 90% reduction) with a low relative error rate (under 10%). Furthermore, each method produces a reduced model which can be used in distinct specialized fields of application: the distribution of a quantity (mass fraction for example) in the cylinder at each time step (pseudo-dynamic model) or the qualification of scavenging at the end of the process (pseudo-static model).
dc.language.isoen
dc.publisherWorld Academy of Science, Engineering and Technology
dc.subject.enScavenging
dc.subject.enNeural network
dc.subject.enNTF algorithm
dc.subject.enDiesel engine
dc.subject.enDesign optimization
dc.subject.enModel reduction
dc.title.enSpecialized Reduced Models of Dynamic Flows in 2-Stroke Engines
dc.typeArticle de revue
dc.subject.halPhysique [physics]/Physique [physics]/Dynamique des Fluides [physics.flu-dyn]
dc.subject.halPhysique [physics]/Mécanique [physics]/Mécanique des fluides [physics.class-ph]
dc.subject.halInformatique [cs]/Modélisation et simulation
bordeaux.journalInternational Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering
bordeaux.page1684 - 1693
bordeaux.volume9
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295*
bordeaux.issue9
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.institutionINRAE
bordeaux.institutionArts et Métiers
bordeaux.peerReviewedoui
hal.identifierhal-01330965
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01330965v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Mechanical,%20Aerospace,%20Industrial,%20Mechatronic%20and%20Manufacturing%20Engineering&rft.date=2015&rft.volume=9&rft.issue=9&rft.spage=1684%20-%201693&rft.epage=1684%20-%201693&rft.au=CAGIN,%20St%C3%A9phanie&FISCHER,%20Xavier&DELACOURT,%20Eric&BOURABAA,%20Nachida&MORIN,%20C%C3%A9line&rft.genre=article


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