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dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorDOUIN, Chloé
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorGRUHIER, Elise
IDREF: 228223091
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorKROMER, Robin
dc.contributor.authorCHRISTMANN, Olivier
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorPERRY, Nicolas
IDREF: 085512125
dc.date.accessioned2022-09-14T08:12:13Z
dc.date.available2022-09-14T08:12:13Z
dc.date.issued2022
dc.identifier.issn2212-8271en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/143106
dc.description.abstractEnAdditive Manufacturing (AM) has many advantages, but the lack of access to the knowledge associated with it minimises its development in industry. The design phase is crucial for the success of AM, a challenge for Design for Additive Manufacturing (DfAM) methods is therefore to facilitate the access and manipulation of this knowledge. This transfer of knowledge can be achieved by formalising rules at all scales, and communicating them to the designer at the appropriate phase. It is hence necessary to find a way to formalise information in time, space and space-time dimensions since AM is a process that places material in space and layer by layer. The concept of mereotopology is used to study the relationships of connection and interaction between parts, wholes and boundaries, and may be a suitable resource to study DfAM along these three dimensions. The aim of this paper will therefore be to present a method for searching and formulating design guidelines based on a discretisation of the process enabled by the concept of mereotopology. This method consists in the decomposition of a 3D model into features between which spatial, temporal and spatio-temporal interactions are studied. Simultaneously, the analysis of manufactured defects on a printed version of the model allows to link manufacturing defects with a configuration of spatial and temporal elements. Once the defects and configurations have been linked, rules are formulated and then validated or invalidated according to their recurrence on different models printed with the same process and material. This method could be integrated in industry to take advantage of manufacturing defects in order to add data to the statistical study.
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/
dc.subject.enAdditive Manufacturing
dc.subject.enDesign for Additive Manufacturing
dc.subject.enDesign guidelines
dc.subject.enMereotopology
dc.subject.enDetailed design
dc.title.enA method for design for additive manufacturing rules formulation through Spatio-temporal process discretization
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.procir.2022.05.282en_US
dc.subject.halSciences de l'ingénieur [physics]/Mécanique [physics.med-ph]/Génie mécanique [physics.class-ph]en_US
bordeaux.journalProcedia CIRPen_US
bordeaux.page484-489en_US
bordeaux.volume109en_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
bordeaux.import.sourcehal
hal.identifierhal-03768093
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BY-NC-NDen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Procedia%20CIRP&rft.date=2022&rft.volume=109&rft.spage=484-489&rft.epage=484-489&rft.eissn=2212-8271&rft.issn=2212-8271&rft.au=DOUIN,%20Chlo%C3%A9&GRUHIER,%20Elise&KROMER,%20Robin&CHRISTMANN,%20Olivier&PERRY,%20Nicolas&rft.genre=article


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