On three-dimensional misorientation spaces
Author(s) -
Robert Krakow,
R Bennett,
Duncan N. Johnstone,
Zoja Vukmanovic,
W. Solano-Alvarez,
Steven J. Lainé,
Joshua F. Einsle,
Paul A. Midgley,
C.M.F. Rae,
Ralf Hielscher
Publication year - 2017
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2017.0274
Subject(s) - misorientation , orientation (vector space) , point (geometry) , visualization , crystallography , homogeneous space , transformation (genetics) , space (punctuation) , cluster (spacecraft) , geometry , materials science , computer science , mathematics , data mining , chemistry , biochemistry , microstructure , gene , grain boundary , programming language , operating system
Determining the local orientation of crystals in engineering and geological materials has become routine with the advent of modern crystallographic mapping techniques. These techniques enable many thousands of orientation measurements to be made, directing attention towards how such orientation data are best studied. Here, we provide a guide to the visualization of misorientation data in three-dimensional vector spaces, reduced by crystal symmetry, to reveal crystallographic orientation relationships. Domains for all point group symmetries are presented and an analysis methodology is developed and applied to identify crystallographic relationships, indicated by clusters in the misorientation space, in examples from materials science and geology. This analysis aids the determination of active deformation mechanisms and evaluation of cluster centres and spread enables more accurate description of transformation processes supporting arguments regarding provenance.
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