Effective structural unit analysis in hexagonal close-packed alloys - reconstruction of parent β microstructures and crystal orientation post-processing analysis
© Birch and Britton 2022.
Veröffentlicht in: | Journal of applied crystallography. - 1998. - 55(2022), Pt 1 vom: 01. Feb., Seite 33-45 |
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Format: | Online-Aufsatz |
Sprache: | English |
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2022
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Zugriff auf das übergeordnete Werk: | Journal of applied crystallography |
Schlagworte: | Journal Article electron backscatter diffraction microstructure orientation relationships reconstruction |
Zusammenfassung: | © Birch and Britton 2022. Materials with an allotropic phase transformation can form microstructures where grains have orientation relationships determined by the transformation history. These microstructures influence the final material properties. In zirconium alloys, there is a solid-state body-centred cubic (b.c.c.) to hexagonal close-packed (h.c.p.) phase transformation, where the crystal orientations of the h.c.p. phase can be related to the parent b.c.c. structure via the Burgers orientation relationship (BOR). In the present work, a reconstruction code, developed for steels and which uses a Markov chain clustering algorithm to analyse electron backscatter diffraction maps, is adapted and applied to the h.c.p./b.c.c. BOR. This algorithm is released as open-source code (via github, as ParentBOR). The algorithm enables new post-processing of the original and reconstructed data sets to analyse the variants of the h.c.p. α phase that are present and understand shared crystal planes and shared lattice directions within each parent β grain; it is anticipated that this will assist in understanding the transformation-related deformation properties of the final microstructure. Finally, the ParentBOR code is compared with recently released reconstruction codes implemented in MTEX to reveal differences and similarities in how the microstructure is described |
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Beschreibung: | Date Revised 12.02.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
ISSN: | 0021-8898 |
DOI: | 10.1107/S1600576721011584 |