Automatic Texture Alignment by Optimization Method
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Standard
in: Microscopy and microanalysis, Jahrgang 30.2024, Nr. 2, 08.03.2024, S. 253-277.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Automatic Texture Alignment by Optimization Method
AU - Ott, Alois C
AU - Weißensteiner, Irmgard
AU - Arnoldt, Aurel
AU - Österreicher, Johannes A
AU - Papenberg, Nikolaus Peter
N1 - Publisher Copyright: © The Author(s) 2024.
PY - 2024/3/8
Y1 - 2024/3/8
N2 - Microstructure analysis via electron backscatter diffraction has become an indispensable tool in materials science and engineering. In order to interpret or predict the anisotropy in crystalline materials, the texture is assessed, e.g. via pole figure diagrams. To ensure a correct characterization, it is crucial to align the measured sample axes as closely as possible with the manufacturing process directions. However, deviations are inevitable due to sample preparation and manual measurement setup. Postprocessing is mostly done manually, which is tedious and operator-dependent. In this work, it is shown that the deviation can be calculated using the contour of the crystal orientations. This can also be utilized to define the axis symmetry of pole figure diagrams through an objective function, allowing for symmetric alignment by minimization. Experimental textures of extruded profiles and synthetically generated textures were used to demonstrate the general applicability of the method. It has proven to work excellently for deviations of up to 5 ◦, which are typical for careful manual sample preparation and mounting.
AB - Microstructure analysis via electron backscatter diffraction has become an indispensable tool in materials science and engineering. In order to interpret or predict the anisotropy in crystalline materials, the texture is assessed, e.g. via pole figure diagrams. To ensure a correct characterization, it is crucial to align the measured sample axes as closely as possible with the manufacturing process directions. However, deviations are inevitable due to sample preparation and manual measurement setup. Postprocessing is mostly done manually, which is tedious and operator-dependent. In this work, it is shown that the deviation can be calculated using the contour of the crystal orientations. This can also be utilized to define the axis symmetry of pole figure diagrams through an objective function, allowing for symmetric alignment by minimization. Experimental textures of extruded profiles and synthetically generated textures were used to demonstrate the general applicability of the method. It has proven to work excellently for deviations of up to 5 ◦, which are typical for careful manual sample preparation and mounting.
KW - aluminum
KW - electron backscatter diffraction
KW - material science
KW - optimization method
KW - pole figure
KW - texture analysis
UR - http://www.scopus.com/inward/record.url?scp=85191901338&partnerID=8YFLogxK
U2 - 10.1093/mam/ozae013
DO - 10.1093/mam/ozae013
M3 - Article
VL - 30.2024
SP - 253
EP - 277
JO - Microscopy and microanalysis
JF - Microscopy and microanalysis
SN - 1431-9276
IS - 2
ER -