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dc.rights.licenseopenen_US
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorEL KHOUKHI, Driss
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorSAINTIER, Nicolas
dc.contributor.authorMOREL, Franck
dc.contributor.authorBELLETT, Daniel
dc.contributor.authorOSMOND, Pierre
dc.contributor.authorLE, Viet-Duc
dc.date.accessioned2021-12-09T14:01:09Z
dc.date.available2021-12-09T14:01:09Z
dc.date.issued2021-07-01
dc.identifier.issn1044-5803en_US
dc.identifier.urioai:crossref.org:10.1016/j.matchar.2021.111165
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124080
dc.description.abstractEnTwo cast aluminium alloys fabricated by different casting processes (gravity die-casting and lost foam casting) and showing different degrees of porosity were characterized with X-ray Computed tomography. Information concerning the pore distribution inside the investigated materials is obtained in terms of pore size and the pore positions in 3D space. Subsequently, a spatial point pattern analysis is undertaken to investigate the pore distributions. Different methods, including a nearest neighbor analysis, Ripley's K-function and Clark-Evans tests developed for 3D applications, are used to analyse the observed patterns. The results show that the Homogeneous Poisson process, which provides the Complete Spatial Randomness (CSR) is suitable to approximate the spatial distribution of the pores present in the investigated alloys. Synthetic microstructures that mimic key macroscale features of the materials in terms of pore size and the 3D spatial distribution of the pores were generated. These microstructures can be used in the probabilistic modelling of fatigue behavior.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enCasting process
dc.subject.enX-ray computed tomography
dc.subject.enPorosity
dc.subject.enPoint pattern
dc.subject.enSpatial statistics
dc.subject.enRipley's K-function Nearest neighbor function
dc.subject.enPoisson process
dc.subject.enFatigue
dc.title.enSpatial point pattern methodology for the study of pores 3D patterning in two casting aluminium alloys
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.matchar.2021.111165en_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalMaterials Characterizationen_US
bordeaux.page111165en_US
bordeaux.volume177en_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.sourcedissemin
hal.identifierhal-03472740
hal.version1
hal.date.transferred2021-12-09T14:01:11Z
hal.exporttrue
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dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Materials%20Characterization&rft.date=2021-07-01&rft.volume=177&rft.spage=111165&rft.epage=111165&rft.eissn=1044-5803&rft.issn=1044-5803&rft.au=EL%20KHOUKHI,%20Driss&SAINTIER,%20Nicolas&MOREL,%20Franck&BELLETT,%20Daniel&OSMOND,%20Pierre&rft.genre=article


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