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dc.rights.licenseopenen_US
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorMILHOMME, Sarah
hal.structure.identifierESTIA INSTITUTE OF TECHNOLOGY
dc.contributor.authorLARTIGAU, Julie
IDREF: 171330730
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorBRUGGER, Charles
hal.structure.identifierInstitut de Mécanique et d'Ingénierie [I2M]
dc.contributor.authorFROUSTEY, Catherine
IDREF: 032497520
dc.date.accessioned2021-12-14T16:20:58Z
dc.date.available2021-12-14T16:20:58Z
dc.date.issued2021-11
dc.identifier.issn0268-3768, 1433-3015en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/124173
dc.description.abstractEnAdditive manufacturing processes are currently studied in many research areas. Indeed, to qualify additively manufactured metallic parts, it is important to understand how process and postprocessing treatments influence the microstructure and mechanical properties of the parts. However, it is also essential to understand how the process parameters impact bead geometry. In this paper, various first-order parameters were studied, and beads were measured to identify correlations between input parameters (laser power P, scanning speed V and powder feed rate F) and geometrical outputs of Ti-6Al-4V beads (height, dilution, width) manufactured with the laser metal powder deposition process. Several results of linear or multiple linear regressions were analyzed to quantify the quality of the prediction of bead geometry. The results show that the emerged and diluted heights are correlated with the laser power/powder feed rate ratio (LEPF), energy density (ED) and powder density (PD). Additionally, the dilution rate seems to be better predicted when expressed as a function of P, V and F. Bead width regressions gave accurate predictions with low errors. These equations could be used to predict the bead geometry from input parameters or to predict input parameters as a function of the needed geometric properties.
dc.language.isoENen_US
dc.subject.enDirect energy deposition
dc.subject.enTi-6Al-4V
dc.subject.enBead geometry
dc.subject.enParametric study
dc.subject.enMultiple linear regression
dc.titleBead geometry prediction using multiple linear regression analysis: Application to Ti-6Al-4V beads made by laser metal powder deposition
dc.typeArticle de revueen_US
dc.identifier.doi10.1007/s00170-021-07697-wen_US
dc.subject.halSciences de l'ingénieur [physics]/Matériauxen_US
bordeaux.journalThe International Journal of Advanced Manufacturing Technologyen_US
bordeaux.page607-620en_US
bordeaux.volume117en_US
bordeaux.hal.laboratoriesInstitut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295en_US
bordeaux.issue1_2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.institutionINRAEen_US
bordeaux.institutionArts et Métiersen_US
bordeaux.institutionBordeaux Sciences Agro
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03409453
hal.version1
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.title=Bead%20geometry%20prediction%20using%20multiple%20linear%20regression%20analysis:%20Application%20to%20Ti-6Al-4V%20beads%20made%20by%20laser%20metal%20powder%20deposition&rft.atitle=Bead%20geometry%20prediction%20using%20multiple%20linear%20regression%20analysis:%20Application%20to%20Ti-6Al-4V%20beads%20made%20by%20laser%20metal%20powder%20depositio&rft.jtitle=The%20International%20Journal%20of%20Advanced%20Manufacturing%20Technology&rft.date=2021-11&rft.volume=117&rft.issue=1_2&rft.spage=607-620&rft.epage=607-620&rft.eissn=0268-3768,%201433-3015&rft.issn=0268-3768,%201433-3015&rft.au=MILHOMME,%20Sarah&LARTIGAU,%20Julie&BRUGGER,%20Charles&FROUSTEY,%20Catherine&rft.genre=article


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