Automatic Texture Alignment by Optimization Method

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Automatic Texture Alignment by Optimization Method. / Ott, Alois C; Weißensteiner, Irmgard; Arnoldt, Aurel et al.
in: Microscopy and microanalysis, Jahrgang 30.2024, Nr. 2, 08.03.2024, S. 253-277.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

Vancouver

Ott AC, Weißensteiner I, Arnoldt A, Österreicher JA, Papenberg NP. Automatic Texture Alignment by Optimization Method. Microscopy and microanalysis. 2024 Mär 8;30.2024(2):253-277. doi: 10.1093/mam/ozae013

Author

Ott, Alois C ; Weißensteiner, Irmgard ; Arnoldt, Aurel et al. / Automatic Texture Alignment by Optimization Method. in: Microscopy and microanalysis. 2024 ; Jahrgang 30.2024, Nr. 2. S. 253-277.

Bibtex - Download

@article{85aa3bbc83da45dca50338d48f797653,
title = "Automatic Texture Alignment by Optimization Method",
abstract = "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.",
keywords = "aluminum, electron backscatter diffraction, material science, optimization method, pole figure, texture analysis",
author = "Ott, {Alois C} and Irmgard Wei{\ss}ensteiner and Aurel Arnoldt and {\"O}sterreicher, {Johannes A} and Papenberg, {Nikolaus Peter}",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = mar,
day = "8",
doi = "10.1093/mam/ozae013",
language = "English",
volume = "30.2024",
pages = "253--277",
journal = "Microscopy and microanalysis",
issn = "1431-9276",
publisher = "Cambridge University Press",
number = "2",

}

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 -