Projects per year
Abstract
In the current work a novel domain misorientation approach is introduced, which can resolve sub-grains and dislocation cells using conventional EBSD. The measurement principle utilises measurement domains that are grown radially until a specified misorientation value has been reached. This enables stochastic analysis of local misorientation to be carried out within individual sub-grains and dislocation cells. The sub-structural boundaries are classified according to the total misorientation across the boundary region, the thickness of which can vary from approximately one hundred nanometres to several hundred nanometres. Sub-grain boundaries with a total misorientation larger than 2° are resolved effectively for as-measured Hough-based EBSD data. De-noising of the EBSD data allows small dislocation cells to be resolved, typically having a misorientation of 0.4° – 1.0°. The developed approach is applied to various deformed metals, showing a significant increase in the level of detail resolved compared to the conventional kernel misorientation approach. The developed adaptive domain misorientation approach and the EBSD datasets measured for this publication are provided as open access.
Original language | English |
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Article number | 113203 |
Number of pages | 33 |
Journal | ULTRAMICROSCOPY |
Volume | 222 |
Early online date | 20 Jan 2021 |
DOIs | |
Publication status | Published - Mar 2021 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Deformation pattern
- Dislocation cell
- Kernel average misorientation (KAM)
- Lattice curvature
- Polycrystalline material
- Sub-grain
Fingerprint
Dive into the research topics of 'Adaptive domain misorientation approach for the EBSD measurement of deformation induced dislocation sub-structures'. Together they form a unique fingerprint.Datasets
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Adaptive domain misorientation approach for the EBSD measurement of deformation induced dislocation sub-structures
Lehto, P. (Creator), Zenodo, 2 Mar 2021
DOI: 10.5281/zenodo.4430623, https://zenodo.org/api/records/4572377
Dataset: Software or code
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EBSD datasets for cross-sectioned structural steel hardness indentations - Adaptive Domain Misorientation
Lehto, P. (Creator), Zenodo, 10 Jan 2021
DOI: 10.5281/zenodo.4430627, https://zenodo.org/api/records/4430628
Dataset
Projects
- 1 Finished
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Microstructure-based Continuum Damage Modelling of Fatigue in High-performance Welds
Lehto, P., Åman, M., Remes, H., Sarikka, T., Gallo, P. & Malitckii, E.
01/09/2016 → 31/12/2020
Project: Academy of Finland: Other research funding
Research output
- 40 Citations
- 1 Article
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Influence of microstructural deformation mechanisms and shear strain localisations on small fatigue crack growth in ferritic stainless steel
Gallo, P., Lehto, P., Malitckii, E. & Remes, H., Oct 2022, In: INTERNATIONAL JOURNAL OF FATIGUE. 163, 16 p., 107024.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile11 Citations (Scopus)68 Downloads (Pure)