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A metamodel of the wire arc additive manufacturing process based on basis spline entities

dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorZANI, Mathilde
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorPANETTIERI, Enrico
IDREF: 228223156
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorMONTEMURRO, Marco
IDREF: 171660978
dc.date.accessioned2024-07-15T14:11:08Z
dc.date.available2024-07-15T14:11:08Z
dc.date.issued2024-01-01
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/200947
dc.description.abstractEnWire arc additive manufacturing (WAAM) process is a metal additive manufacturing (AM) technology that is becoming increasingly important in Industry 4.0 as it allows for high deposition rates and the manufacture of large components. This translates in a reduction of production time, costs, and waste, while increasing material efficiency, compared to other AM technologies. Nevertheless, the WAAM process is difficult to automate, and the final characteristics of the produced part depend on the deposition parameters and intrinsic physical phenomena. Finite element (FE) modelling could represent an effective tool to tackle such issues, since it can be used to simulate the process for different combinations of deposition parameters. Nonetheless, some strategies are required to reduce the cost of simulations. This paper presents a metamodel based on basis spline entities to approximate the thermal response of the WAAM process for different combinations of deposition parameters. The metamodel is obtained as a solution of a constrained non-linear programming problem aiming at minimising the distance between the points composing the dataset (obtained via non-linear high-fidelity thermal analyses) and the fitting hyper-surface. The strategy (with the dedicated algorithm) is developed to fit with a prescribed accuracy the results of the high-fidelity non-linear FE model of the WAAM process by minimising the computational effort and cost. Lastly, a global sensitivity analysis based on Sobol’s indices is conducted using the fast-high-fidelity metamodel to investigate the influence of the main process parameters on the observed output responses, i.e., the temperature at the thermocouples placed at given locations.
dc.description.sponsorshipFabrication additive assistée par la connaissance et l'intelligence artificielle - ANR-20-CE10-0012en_US
dc.language.isoENen_US
dc.subject.enAdditive manufacturing
dc.subject.enFinite element method
dc.subject.enB-spline hyper-surfaces
dc.subject.enGlobal sensitivity analysis
dc.subject.enMetamodel
dc.subject.enSurrogate model
dc.title.enA metamodel of the wire arc additive manufacturing process based on basis spline entities
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00366-023-01926-4en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalEngineering with Computersen_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04648540
hal.version1
hal.date.transferred2024-07-15T14:11:10Z
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Engineering%20with%20Computers&rft.date=2024-01-01&rft.au=ZANI,%20Mathilde&PANETTIERI,%20Enrico&MONTEMURRO,%20Marco&rft.genre=article


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