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Image driven analysis of plates coated by cold spray coating process using a layerwise approach

dc.contributor.authorMota, A. F.
dc.contributor.authorLoja, Amélia
dc.contributor.authorSingh, Harminder
dc.contributor.authorKalsi, S. B. S.
dc.contributor.authorBarbosa, Joaquim
dc.date.accessioned2021-04-21T11:51:06Z
dc.date.available2021-04-21T11:51:06Z
dc.date.issued2021-04-01
dc.description.abstractFunctionally graded materials are characterized by its continuous spatial properties' variation which provides them a better behaviour concerning strain and stress transition, hence avoiding the abrupt changes typical of composite fibre reinforced laminates. Although manufacturing systems and techniques used in the production of such materials has evolved significantly, porosities may arise as non-desirable characteristic. Other situations exist where pores are desirable as they may contribute to a specific better performance. Regardless the specific application, it is expected that mechanical properties of graded material will be affected by the existence of porosities. This work presents a study on the static and free vibrations behaviour of plates constituted by a substrate coated by the cold spray coating process. This coating presents inherent porosities which distribution matters to characterize in order to assess its influence on the plate behaviour. To this purpose, a layerwise approach considering the first order shear deformation theory was used, in order to be able to carry out a more representative study of the system substrate-coating. The results obtained show that for a small relation between the coating thickness and the plate's total thickness, the relative deviations obtained, considering the porosity-free coating plate as reference, denotes no evidence of significant influence of the number of terms on the volume fraction approximation, for the static and free vibrations results.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMOTA, A. F.; [et al] – Image driven analysis of plates coated by cold spray coating process using a layerwise approach. Composite Structures. ISSN 0263-8223. Vol. 261 (2021), pp. 1-15pt_PT
dc.identifier.doi10.1016/j.compstruct.2020.113250pt_PT
dc.identifier.eissn1879-1085
dc.identifier.issn0263-8223
dc.identifier.urihttp://hdl.handle.net/10400.21/13219
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationUIDB/50022/2020 - FCT, through IDMEC, under LAETApt_PT
dc.relation.publisherversionhttps://reader.elsevier.com/reader/sd/pii/S0263822320331767?token=CCD1523B5579104703FACA62D1BAB329002B546B6E0CA788BF76324AC267A9BC0B516C42515EAB4A58569B6891BD2A98&originRegion=eu-west-1&originCreation=20210421114114pt_PT
dc.subjectPorositiespt_PT
dc.subjectGraded materialpt_PT
dc.subjectCold spray coatingpt_PT
dc.subjectLayerwisept_PT
dc.subjectImage processingpt_PT
dc.titleImage driven analysis of plates coated by cold spray coating process using a layerwise approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage15pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleComposite Structurespt_PT
oaire.citation.volume261pt_PT
person.familyNameLoja
person.familyNameSingh
person.familyNameBarbosa
person.givenNameAmélia
person.givenNameHarminder
person.givenNameJoaquim
person.identifier535461
person.identifier.ciencia-idA016-59D1-2D00
person.identifier.ciencia-id361B-9965-016F
person.identifier.orcid0000-0002-4452-5840
person.identifier.orcid0000-0002-0829-2154
person.identifier.orcid0000-0002-8219-6435
person.identifier.ridI-7513-2015
person.identifier.ridL-5730-2013
person.identifier.scopus-author-id15741348500
person.identifier.scopus-author-id57199030632
person.identifier.scopus-author-id7202435183
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9f43a546-1632-49c5-bd44-94aac2d7b648
relation.isAuthorOfPublicationec7c1267-e60d-48d6-9687-d04578f561bc
relation.isAuthorOfPublicationa7598fac-8160-4003-ab71-5d28a11711dc
relation.isAuthorOfPublication.latestForDiscovery9f43a546-1632-49c5-bd44-94aac2d7b648

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