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dc.contributor.authorDANGLADE, Florence
dc.contributor.authorVERON, Philippe
dc.contributor.authorPERNOT, Jean-Philippe
dc.contributor.author
 hal.structure.identifier
FINE, Lionel
107995 EADS Innovation Works [Suresnes] [EADS IW]
dc.date.accessioned2016
dc.date.available2016
dc.date.issued2014
dc.date.submitted2016
dc.identifier.urihttp://hdl.handle.net/10985/11381
dc.description.abstractEssential when adapting CAD model for finite element analysis, the defeaturing ensures the feasibility of the simulation and reduces the computation time. Processes for CAD model preparation and defeaturing tools exist but are not always clearly formalized. In this paper, we propose an approach that uses machine learning techniques to design an indicator that predicts the defeaturing impact on the quality of analysis results for heat transfer simulation. The expertise knowledge is embedded in examples of defeaturing process and analysis, which will be used to find an algorithm able to predict a performance indicator. This indicator provides help in decision making to identify features candidates to defeaturing.
dc.language.isoen
dc.rightsPost-print
dc.subjectDefeaturing, CAD model, Finite Element Analysis, Machine Learning, a priori estimation
dc.subjectCAD model
dc.subjectFinite Element Analysis
dc.subjectMachine Learning
dc.subjecta priori estimation
dc.titlePrediction of CAD model defeaturing impact on heat transfer FEA results using machine learning techniques
dc.typdocCommunications avec actes
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.titleJoint Conference on Mechanical, Design Engineering & Advanced Manufacturing
ensam.conference.date2014-06
ensam.countryFrance
ensam.title.proceedingProceedings of Joint Conference on Mechanical, Design Engineering & Advanced Manufacturing
ensam.page1-6
ensam.cityToulouse
ensam.peerReviewingOui
ensam.invitedCommunicationNon
ensam.proceedingOui
hal.description.errorThe supplied XML description does not validate the AOfr schema


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