Automatic Texture Alignment by Optimization Method
Research output: Contribution to journal › Article › Research › peer-review
Authors
Organisational units
External Organisational units
- LKR Leichtmetallkompetenzzentrum Ranshofen GmbH
- Christian Doppler Laboratory for Advanced Aluminum Alloys
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.
Details
Original language | English |
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Pages (from-to) | 253-277 |
Number of pages | 25 |
Journal | Microscopy and microanalysis |
Volume | 30.2024 |
Issue number | 2 |
DOIs | |
Publication status | Published - 8 Mar 2024 |