Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

Stefan Sandfeld; Vahid Samaee; Hosni Idrissi; Jonas Groten; Thomas Pardoen; Ruth Schwaiger; Dominique Schryvers

doi:10.1016/j.dib.2019.104724

Datasets for the analysis of dislocations at grain boundaries and during vein formation in cyclically deformed Ni micropillars

Data Brief. 2019 Oct 30:27:104724. doi: 10.1016/j.dib.2019.104724. eCollection 2019 Dec.

Authors

Stefan Sandfeld¹, Vahid Samaee², Hosni Idrissi^{2

3}, Jonas Groten^{4

5}, Thomas Pardoen³, Ruth Schwaiger⁴, Dominique Schryvers²

Affiliations

¹ Micromechanical Materials Modelling (MiMM), Institute of Mechanics and Fluid Dynamics, TU Bergakademie Freiberg (TUBAF), Lampadiusstr. 4, 09596, Freiberg, Germany.
² Electron Microscopy for Materials Science (EMAT), Department of Physics, University of Antwerp, Belgium.
³ Institute of Mechanics, Materials and Civil Engineering, UCLouvain, Belgium.
⁴ Institute for Applied Materials (IAM), Karlsruhe Institute of Technology (KIT), Hermann-von- Helmholtz-Platz 1, 76344, Eggenstein-Leopoldshafen, Germany.
⁵ Joanneum Research, Graz, Austria.

Abstract

The dataset together with the corresponding Python scripts and Jupyter notebooks presented in this article are supplementary data for the work presented in Samaee et al., 2019 [1]. The data itself consists of two parts: the simulation data that was used in [1] to analyze the effect of a particular grain boundary on curved dislocations and the precession electron diffraction (PED) strain maps together with post-processed data for analyzing details of the observed dislocation vein structures. Additionally, the complete stress tensor components, which are not shown in [1], have also been included. The data sets are accompanied by Python code explaining the file formats and showing how to post-process the data.

Keywords: Computational analysis; Dislocations; Grain boundaries; Transmission electron microscopy; Vein structures.