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Estimation of CAD model simplification impact on CFD analysis using machine learning techniques

dc.contributor.author
 hal.structure.identifier		FINE, Lionel
107995 EADS Innovation Works [Suresnes] [EADS IW]
dc.contributor.author
 hal.structure.identifier		PERNOT, Jean-Philippe
178374 Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques [LSIS- INSM]
dc.contributor.authorDANGLADE, Florence
dc.contributor.authorVERON, Philippe
dc.date.accessioned2016
dc.date.available2016
dc.date.issued2015
dc.date.submitted2016
dc.identifier.urihttp://hdl.handle.net/10985/11407
dc.description.abstractThis paper adresses the way machine learning techniques based on neural networks can be used to predict the impact of simplification processes on CAD model for heat transfer FEA purposes.
dc.language.isoen
dc.rightsPost-print
dc.subjectCAD/FEA transfe
dc.subjectCAD model simplification
dc.subjectMachine learning
dc.titleEstimation of CAD model simplification impact on CFD analysis using machine learning techniques
dc.typdocCommunication avec acte
dc.localisationCentre de Aix en Provence
dc.subject.halInformatique: Modélisation et simulation
dc.subject.halSciences de l'ingénieur: Mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Génie mécanique
ensam.audienceInternationale
ensam.conference.titleComputer-Aided Design and Applications (Londres: 2015 : 15)
ensam.conference.date2015-06
ensam.countryRoyaume-Uni
ensam.title.proceedingProceedings of Computer-Aided Design and Applications (CAD’15)
ensam.page1-5
ensam.cityLondres
ensam.peerReviewingOui
ensam.invitedCommunicationNon
ensam.proceedingOui
hal.identifierhal-01410873
hal.version1
hal.statusaccept


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