Characterization of heterogeneities in grain size by network analysis

dc.contributor.authorDUTRA, J. C.
dc.contributor.authorDE OLIVEIRA, T. E.
dc.date.accessioned2022-01-12T21:58:09Z
dc.date.available2022-01-12T21:58:09Z
dc.date.issued2017-05-01
dc.description.abstract© 2017 Elsevier Inc.Heterogeneities in grain size are very common, mainly when phenomena such as abnormal grain growth is taking place. A new method to measure them is put forward. It is based on network analysis in which an adjacent matrix is built from a microstructure consisting of single-phase grains. In this approach, grains are nodes whereas their boundaries are ties. Both the degree centrality of nodes and the degree centrality of group of grains were calculated as well as their significance and deviations. Results have shown that the present method is capable to show significant differences in these properties, one order of magnitude, even if the microstructures are slightly heterogeneous. Methods involving statistical and non-linear regression analysis are also presented and compared with the new one and it is shown that these methods have more arbitrariness than the new one.
dc.description.firstpage222
dc.description.lastpage230
dc.description.volume127
dc.identifier.citationDUTRA, J. C.; DE OLIVEIRA, T. E. Characterization of heterogeneities in grain size by network analysis. Materials Characterization, v. 127, p. 222-230, May, 2017.
dc.identifier.doi10.1016/j.matchar.2017.03.010
dc.identifier.issn1044-5803
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/3842
dc.relation.ispartofMaterials Characterization
dc.rightsAcesso Restrito
dc.subject.otherlanguageAbnormal grain growth
dc.subject.otherlanguageGrain size measurement
dc.subject.otherlanguageNetwork analysis
dc.titleCharacterization of heterogeneities in grain size by network analysis
dc.typeArtigo
fei.scopus.citations3
fei.scopus.eid2-s2.0-85015062584
fei.scopus.subjectAbnormal grain growth
fei.scopus.subjectAdjacent matrix
fei.scopus.subjectDegree centrality
fei.scopus.subjectGrain size
fei.scopus.subjectGrain size measurement
fei.scopus.subjectNon-linear regression analysis
fei.scopus.subjectSingle phase
fei.scopus.updated2023-12-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015062584&origin=inward
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