Literature DB >> 33545656

Adaptive domain misorientation approach for the EBSD measurement of deformation induced dislocation sub-structures.

Pauli Lehto1.   

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.
Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

Keywords:  Deformation pattern; Dislocation cell; Kernel average misorientation (KAM); Lattice curvature; Polycrystalline material; Sub-grain

Year:  2021        PMID: 33545656     DOI: 10.1016/j.ultramic.2021.113203

Source DB:  PubMed          Journal:  Ultramicroscopy        ISSN: 0304-3991            Impact factor:   2.689


  1 in total

1.  {332}<113> and {112}<111> Twin Variant Activation during Cold-Rolling of a Ti-Nb-Zr-Ta-Sn-Fe Alloy.

Authors:  Alexandru Dan; Elisabeta Mirela Cojocaru; Doina Raducanu; Anna Nocivin; Ion Cinca; Vasile Danut Cojocaru
Journal:  Materials (Basel)       Date:  2022-10-06       Impact factor: 3.748

  1 in total

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