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Quantitative characterization of microstructure of pure copper processed by ecap

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dc.title Quantitative characterization of microstructure of pure copper processed by ecap en
dc.contributor.author Šedivý, Ondřej
dc.contributor.author Beneš, Viktor
dc.contributor.author Ponížil, Petr
dc.contributor.author Král, Petr
dc.contributor.author Sklenička, Václav
dc.relation.ispartof Image Analysis and Stereology
dc.identifier.issn 1580-3139 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2013
utb.relation.volume 32
utb.relation.issue 2
dc.citation.spage 65
dc.citation.epage 75
dc.type article
dc.language.iso en
dc.publisher International Society for Stereology (ISS) en
dc.identifier.doi 10.5566/ias.v32.p65-75
dc.relation.uri http://www.ias-iss.org/ojs/IAS/article/view/949
dc.subject Electron backscatter diffraction en
dc.subject Equal-channel angular pressing en
dc.subject Random marked sets en
dc.subject Second-order analysis en
dc.description.abstract Orientation imaging microscopy (OIM) allows to measure crystallic orientations at the surface of a material. Digitalized data representing the orientations are processed to recognize the grain structure and they are visualized in crystal orientation maps. Analysis of the data firstly consists in recognition of grain boundaries followed by identification of grains themselves. Knowing the grain morphology, it is possible to characterize the grain size homogeneity and estimate structural parameters related to the physical properties of the material. The paper describes methods of imaging and quantitative characterization of the grain boundary structure in metals based on data from electron backscatter diffraction (EBSD). These methods are applied to samples of copper processed by equal-channel angular pressing (ECAP). en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1003423
utb.identifier.obdid 43870195
utb.identifier.scopus 2-s2.0-84880670755
utb.identifier.wok 000322293200001
utb.source j-scopus
dc.date.accessioned 2013-08-02T09:10:17Z
dc.date.available 2013-08-02T09:10:17Z
dc.rights Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.rights.access openAccess
utb.contributor.internalauthor Ponížil, Petr
utb.fulltext.affiliation ONDŘEJ ŠEDIVÝ *1 ; VIKTOR BENEŠ 1 , PETR PONÍŽIL 2 , PETR KRÁL 3 AND VÁCLAV SKLENIČKA 3 1 Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, CZ-18675 Prague, Czech Republic; 2 Department of Physics and Material Engineering, Faculty of Technology, Tomas Bata University in Zlín, CZ-76272 Zlín, Czech Republic; 3 Institute of Physics of Materials, Academy of Sciences of the Czech Republic, CZ-61662 Brno, Czech Republic e-mail: [email protected], [email protected], [email protected], [email protected], [email protected]
utb.fulltext.dates Received August 9, 2012 revised February 4, 2013 accepted March 17, 2013
utb.fulltext.sponsorship The research was supported by the Czech Science Foundation, project P201/10/0472, and Operational Program Research and Development for Innovations co-funded by the European Regional Development Fund (ERDF) and national budget of the Czech Republic, within the framework of project Centre of Polymer Systems (reg. number: CZ.1.05/2.1.00/03.0111). Special thanks belong to Jiří Dvořák for preparation of the samples and operation with the ECAP facilities. The topic of this paper was presented at the S4G Conference, June 25-28, 2012 in Prague, Czech Republic.
utb.fulltext.faculty Faculty of Technology
utb.fulltext.ou Department of Physics and Material Engineering
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Attribution-NonCommercial-NoDerivs 3.0 Unported Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution-NonCommercial-NoDerivs 3.0 Unported