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55 results for “ebsd”
Set of CFT files from EBSD maps
<p>Set of .ctf files from EBSD maps (treated data) used in the articles Demouchy et al., submitted at European Journal Mineralogy.</p> <p>Demouchy, S., Thieme, M., Barou F., Beausir B., Taupin V., Cordier P., (2022-2023). Dislocation and disclination densities in experimentally deformed polycrystalline olivine. Submitted to <em>Eur. J. Min</em>., in revision (minor revision), dec 2022.</p>
SWIR abyssal peridotites EBSD and microprobe datasets
<p>The crystallographic preferred orientation (CPO) of olivine, pyroxenes, spinel, and amphibole was measured in 17 selected samples using a JEOL JSM 5600 at the Geosciences Montpellier EBSD facility, with 17 kV acceleration voltage and 24 mm working distance. For each thin section, CPO maps covered areas of 4 to 13 cm<sup>2</sup> with a grid step of 15 or 35 µm, depending on olivine minimum grain size. Because of the large size of olivine porphyroclasts in most samples, CPO were measured on several thin sections and then combined. Higher-resolution CPO maps (grid step 0.5 to 10 µm depending on the dominant grain size) of fine-grained zones were also obtained for 7 samples using the CamScan Crystal Probe X500-FEG SEM, also at the Geosciences Montpellier EBSD facility. Post-acquisition treatment consisted in deleting wild spikes and filling non-indexed pixels with ≥ 6 neighbors with coherent orientations with their average orientation. </p> <p>In situ major element concentrations of amphiboles were measured using a Cameca SX-100 electron microprobe (CAMPARIS service, Paris). The accelerating voltage was fixed at 15 kV and beam current at 10 nA. The spot size was 1μm. Counting times were 10 s. Compositions are presented in TableS3.</p>
EBSD Dataset of the Alpha and Beta Phase Orientations for a Hot-Rolled Zr-2.5Nb Alloy
<p>A set of ex-situ electron backscatter diffraction (EBSD) datafiles following rolling of a Zr-2.5Nb alloy at different temperatures (700C, 750C, 775C, 800C, 825C, 850C, 900C) and rolling reductions (50%, 75%, 87.5%). Data for annealing of the material (750C for 2 hours) and following rolling at 800C from a different ‘as-forged’ starting texture is also included. Note, phases in the ctf files marked as Titanium Cubic refer to measurement of the Zirconium Cubic phase. </p> <p>The data in the 'Beta ctf' folder includes a reconstruction of the high temperature beta-phase orientations where possible, reconstructed from the alpha phase orientations using a software based on the Burgers relationship.</p> <p>Please see the accompanying paper for the interpretation of crystallographic texture changes;</p> <p>C.S. Daniel, P.D. Honniball, L. Bradley, M. Preuss, J. Quinta da Fonseca, A detailed study of texture changes during alpha–beta processing of a zirconium alloy, J. Alloys Compd. 804 (2019) 65–83, <a href="https://doi.org/10.1016/j.jallcom.2019.06.338">10.1016/j.jallcom.2019.06.338</a></p>
Supplementary Information and EBSD data for 'Intermetallic phase layers in cold metal transfer aluminium-steel welds with an Al-Si-Mn filler alloy'
<p>Supplementary information and electron backscatter diffraction (EBSD) data for the article entitled 'Intermetallic phase layers in cold metal transfer aluminium-steel joints with an Al-Si-Mn filler alloy'. There are three EBSD datasets, I-III, named "I_EBSD.dat" - "III_EBSD.dat", each with corresponding calibration and background patterns, as well as secondary electron scanning electron microscopy images showing the scanned area and text files containing the acquisition parameters. The data analysis workflow has been published on GitHub, see References.</p>
In-situ Heating-Stage EBSD Validation of Algorithms for Prior-Austenite Grain Reconstruction in Steel
<p>High temperature EBSD and dilatometry data from the manuscript "In-situ Heating-Stage EBSD Validation of Algorithms for Prior-Austenite Grain Reconstruction in Steel". This includes Gifs of the martensitic and bainitic phase transformations, individual frames as Tiff files and as CTF files. It also includes thermocouple read outs from the in-situ crucible and the raw data from the dilatometry experiments.</p>
2D EBSD Dataset of the Alpha and Beta Phase Orientations for a Hot-Rolled Model Zircaloy-4 with 7 wt.% Nb Alloy
<p>A set of electron backscatter diffraction (EBSD) data files for a model Zircaloy-4 with 7 wt.% Nb addition alloy following hot-rolling. </p> <p>The 2D data set contains EBSD maps recording the microstructure and texture evolution, from a beta-processed (and annealed) starting condition, following rolling at a temperature of 725C to 50% and 75% reduction. Data for annealing of the rolled materials (750C for 2 hours) is also included. <em>Note, phases in the ctf files marked as 'Titanium Cubic' refer to measurement of the 'Zirconium Cubic' phase.</em></p> <p>Please see our accompanying paper for analysis of the 2D measurements - as well as analysis of a 3D reconstruction from <a href="https://doi.org/10.5281/zenodo.3785084">10.5281/zenodo.3785084</a> - and for interpretation of the coupled crystallographic texture evolution;</p> <p>C.S. Daniel, A. Garner, P.D. Honniball, L. Bradley, M. Preuss, P.B. Prangnell, J. Quinta da Fonseca, Co-deformation and dynamic annealing effects on the texture development during alpha–beta processing of a model Zr-Nb alloy, Acta Materialia 205 (2021) 116538. <a href="https://doi.org/10.1016/j.actamat.2020.116538">10.1016/j.actamat.2020.116538</a></p>
EBSD datasets for cross-sectioned structural steel hardness indentations - Adaptive Domain Misorientation
<p>Open access datasets for structural steel hardness indentations from the following publication: Ultramicroscopy 2021, Volume 222: <a href="https://doi.org/10.1016/j.ultramic.2021.113203">https://doi.org/10.1016/j.ultramic.2021.113203</a></p> <p>Files included:</p> <ul> <li>Adaptive domain misorientation calculated for Indentation 1 and 2 using misorientation thresholds (Delta theta) 0.5deg and 2deg, corresponding to dense dislocation walls and sub-grain boundaries</li> <li>Indentation 2: Raw dataset and associated mask file for excluding the edge of the data</li> </ul> <p>The methodology for analysing and plotting of the data is found at: <a href="https://doi.org/10.5281/zenodo.4430623">https://doi.org/10.5281/zenodo.4430623</a></p> <p>For further information visit: Aalto University Wiki - <a href="https://wiki.aalto.fi/display/EMDIDS">https://wiki.aalto.fi/display/EMDIDS</a></p>
EBSD data for HRDIC analysis in AZ31
<p>EBSD data set obtained from the HRDCI analysis in an AZ31 mg alloy surface after deformation without removing the gold speckles. The map was obtained using a CamScan MX2000 equipped with an Oxford Instruments EBSD detector at 25 kV and using step size of 0.23 µm.</p> <p>This EBSD data set was obtained in the same region where the HRDIC analysis was performed for our publication entitled " Why magnesium is not brittle: a quantitative study on the accommodation of deformation incompatibility". The HRDIC data set can be found in https://doi.org/10.5281/zenodo.345313 while the notebook to visualise data is allocated in https://doi.org/10.5281/zenodo.376503.</p> <p>Accompanying the EBSD data set, images of the IPF representation in the three sample axis and the Schmid factor for basal slip when loading respect to the X axis (horizontal respect to the images)</p> <ul> <li>EBSD for HRDIC in AZ31 IPF-legend.tif --> Legend for the different IPF maps</li> <li>EBSD for HRDIC in AZ31 IPF-X.tif --> EBSD map represented respect to the X-axis (horizontal)</li> <li>EBSD for HRDIC in AZ31 IPF-X.tif --> EBSD map represented respect to the Y-axis (vertical)</li> <li>EBSD for HRDIC in AZ31 IPF-X.tif --> EBSD map represented respect to the Z-axis (observation axis)</li> <li>EBSD for HRDIC in AZ31 m-Basal-legend.tif --> Legend for the Schmid factor for Basal slip map</li> <li>EBSD for HRDIC in AZ31 m-Basal.tif --> Schmid factor values for Basal slip</li> <li>EBSD for HRDIC in AZ31.cpr --> Raw data, .cpr format</li> <li>EBSD for HRDIC in AZ31.crc --> Raw data, .crc format</li> <li>EBSD for HRDIC in AZ31.txt --> Raw data, .txt format</li> </ul> <p> </p>
EBSD data (with patterns) for indexing of contrast inverted patterns
<p>Data needed to reproduce results from paper:</p> <p>Grzegorz Cios, Aimo Winkelmann, Gert Nolze, Tomasz Tokarski, Benedykt R. Jany, Piotr Bała,<br>EBSD and TKD analyses using inverted contrast Kikuchi diffraction patterns and alternative measurement geometries,<br>Ultramicroscopy, 2024, 114055, ISSN 0304-3991,<br>https://doi.org/10.1016/j.ultramic.2024.114055.<br>(https://www.sciencedirect.com/science/article/pii/S0304399124001347)</p> <p><br>Abstract: Electron backscatter diffraction (EBSD) patterns can exhibit Kikuchi bands with inverted contrast due to anomalous absorption. This can be observed, for example, on samples with nanoscale topography, in case of a low tilt backscattering geometry, or for transmission Kikuchi diffraction (TKD) on thicker samples. Three examples are discussed where contrast-inverted physics-based simulated master patterns have been applied to find the correct crystal orientation. As first EBSD example, self-assembled gold nanostructures made of Au fcc and Au hcp phases on single-crystal germanium were investigated. Gold covered about 12% of the mapped area, with only two thirds being successfully interpreted using standard Hough-based indexing. The remaining third was solved by brute force indexing using a contrast-inverted master pattern. The second EBSD example deals with maps collected at a non-tilted surface instead of the commonly used 70° tilted one. As TKD example, a jet-polished foil made of duplex stainless steel 2205 was examined. The thin part close to the hole edge producing normal-contrast patterns were standard indexed. The areas of the foil that become thicker with increasing distance from the edge of the hole produce contrast-inverted patterns. They covered three times the evaluable area and were successfully processed using the contrast-inverted master pattern. In the last example, inverted patterns collected at a non-tiled sample were mathematically inverted to normal contrast, and Hough/Radon-based indexing was successfully applied.<br>Keywords: EBSD; TKD; Contrast inversion; Topography; Kikuchi diffraction</p>
Large EBSD Dataset of Forged Ti64
<p>An extremely large EBSD dataset - obtained from an alpha + beta deformed forging measuring approximately 7 x 5 cm with 45’268’880 data points and 68% coverage. Sample prep conducted by Nicholas Byres, EBSD microscopy conducted by Alec Davis.</p>
Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'.
<p>Dataset for paper entitled 'Quantification of strain fields and grain refinement in Ti-6Al-4V inter-pass rolled wire-arc AM by EBSD misorientation analysis'. doi: https://doi.org/10.1016/j.matchar.2020.110673</p>
EBSD Dataset of the Alpha and Beta Phase Orientations for Hot-rolled Ti-6Al-4V
<p>This is an EBSD dataset for hot-rolled Ti-6Al-4V alloy. It includes the EBSD maps of the starting material, and materials have been rolled at nine different temperatures (825°C, 865°C, 895°C, 915°C, 935°C, 950°C, 960°C, 975°C, 1020°C) to three reductions (50%, 75%, and 87.5%). Each rolled material was sampled from transverse direction (TD) and rolling direction (RD) and EBSD maps were taken from both directions. Materials rolled at 825°C and 915°C were further rolled to 94% reduction and EBSD maps were taken from TD. The information of each EBSD data is given in the metadata file in each folder.</p> <p>For materials rolled above 915°C, the beta phase was reconstructed with a software based on Burger's orientation relationship.</p> <p>The Matlab script for plotting EBSD maps, pole figures and ODFs can be downloaded <a href="https://zenodo.org/record/8328717">here</a>.</p>
Deformed Iron EBSD data set
<p>Data from Electron Backscatter Diffraction analysis for a small (83 x 110) point map captured using a Bruker eFlash HR (1st generation) with full pattern resolution on a FEI Quanta instrument. The orientation data can be loaded using MTEX 5.0.3 (<a href="http://mtex-toolbox.github.io/">http://mtex-toolbox.github.io/</a>). The data is released to facilitate the development of new EBSD analysis methodologies, including AstroEBSD (<a href="https://github.com/benjaminbritton/AstroEBSD/">https://github.com/benjaminbritton/AstroEBSD/</a>) which has been developed by the Experimental Micromechanics Research Group (<a href="http://www.expmicromech.com">http://www.expmicromech.com</a>) & the Oxford Micromechanics group (<a href="http://users.ox.ac.uk/~ajw/">http://users.ox.ac.uk/~ajw/</a>). The data is from a lightly deformed sample of interstitial free steel (Ferrite). Orientation analysis was performed using eSprit 2.1 and this is contained within the h5 file. Figures from this data set are provided to illustrate the correct representation of the data. The x axis points right to left, the y axis points top to bottom, and the z axis is out of the page (as per conventions described in <a href="http://dx.doi.org/10.1016/j.matchar.2016.04.008">http://dx.doi.org/10.1016/j.matchar.2016.04.008</a>). Data has been captured with a 0.15 um step size.</p> <p>This data was collected within the Harvey Flower EM Suite within the Department of Materials, Imperial College London. The equipment was funded under the Shell-Imperial Advanced Interfaces in Materials Science University Technology Center.</p> <p>Please contact Dr Ben Britton if you have any queries or require further information (b.britton@imperial.ac.uk).</p>
small EBSD map from annealed ferritic steel
<p>There are two files in this dataset: </p> <p>1 - "DX54_biaxial_ref_small.h5" containing a small Electron Backscatter Diffraction map</p> <p>2 - "Fe_2866_2866_ver3.tif" containing a simulated EBSD from alpha-Fe on a stereographic projection</p> <p> </p> <p><strong>1 - "DX54_biaxial_ref_small.h5"</strong></p> <p>A small Electron Backscatter Diffraction dataset obtained from an annealed ferritic steel and used for algorithm development and testing. The data were collected on a Zeiss Merlin SEM at 20keV using a Bruker eFlash HR (1st generation) . The crystal orientations were determined through the Bruker eSprit software. The EBSD map consists of 64 by 48 points at a step size of ~0.5 microns, and with EBSD patterns recorded at 800 by 576 pixels (ie 2x2 binning). Axis systems and Euler angle conventions used are detailed in <a href="https://dx.doi.org/10.1016/j.matchar.2016.04.008">'Crystal orientations and EBSD — Or which way is up?'</a></p> <p>The dataset is given in an HDF5 file format. You can learn more about this format from <a href="https://www.hdfgroup.org">the HDF Group</a> and download some tools including HDFView which will allow you to explore the file structure. You could also take a look at the discussion given by <a href="https://doi.org/10.1186/2193-9772-3-4">Jackson et al (2014)</a> of archival data formats for EBSD.</p> <p>This map was used by the <a href="http://users.ox.ac.uk/~ajw/">Oxford Micromechnics Group</a> in development of tools for Multivariate Statistical Analysis of EBSD and TKD Datasets. You can read details of this method in the open access <a href="https://arxiv.org/abs/1806.02087">preprint on arXiv</a>. </p> <p> </p> <p><strong>2 - "Fe_2866_2866_ver3.tif" </strong></p> <p>This image file shows dynamical diffraction theory simulation results for alpha Fe undertaken using Bruker Dynamics software tool. The Kikuchi band intensities are presented on a stereographic projection.</p> <p>This was used as the 'Master Pattern' from which a simulated EBSD pattern library was constructed and used in a template matching approach to index characteristic patterns generated from a multivariate statistical analysis of EBSD data described above.</p> <p> </p> <p>These outputs were generated as part of a project on <em>Micro-mechanical modelling techniques for forming texture, non-proportionality and failure in auto materials</em> funded by the Engineering and Physical Sciences Research Council in the UK (grant number EP/I021043/1)</p> <p> </p>
GaN Stripes EBSD
<p>Raw EBSD Data for a GaN thin film sample with changing polarities and crystal structures as published in:</p> <p>Point-Group Sensitive Orientation Mapping Using EBSD. Winkelmann A., Nolze G., Himmerlich M., Lebedev V., Reichmann A. (2016) In: Holm E.A. et al. (eds) Proceedings of the 6th International Conference on Recrystallization and Grain Growth (ReX&GG 2016). Springer. The data was measured by G.Nolze, the sample was provided by V. Lebedev and M. Himmerlich<br> <a href="https://doi.org/10.1007/978-3-319-48770-0_41">https://doi.org/10.1007/978-3-319-48770-0_41</a></p> <p>The data in <a href="https://zenodo.org/api/files/0f9f0014-75e7-4f63-bf8d-1636448101a8/static_bam_ef.txt?versionId=9ca597c9-edd1-486d-b542-00a5dd1edf72">static_bam_ef.txt </a> is a static EBSD background image (taken from a different experiment with the same detector)</p>
How many large samples can you scan with EBSD at once?
<p>In this video, I helped Xiaohan Zeng set up an EBSD run of 10 Ti-6Al-4V samples in a row on a Thermo Fisher high throughput Apreo SEM equipped with an Oxford Instruments' Symmetry 2 detector at the University of Manchester, UK.</p> <p>EBSD scan setup by Xiaohan Zeng (assisted by Dr Alec E Davis), sample preparation by Xiaohan Zeng, EBSD mapping calculator created by Dr Jack Donoghue. This research was supported by grants: NEWAM (EPSRC EP/R027218/1), LightForm (EPSRC EP/R001715/1), Henry Royce Institute for Advanced Materials (EPSRC EP/R00661X/1, EP/S019367/1, EP/P025021/1, and EP/P025498/1).</p>
Dynamical simulation of EBSD master pattern of nickel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of nickel (<em>Fm<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 3.5236 Å). The master pattern was simulated with EMsoft v4.3. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/ni_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: ni.xtal), EMMCOpenCL (input: ni.xtal, mcopencl.nml; output: ni_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, ni_mc_mp_20kv.h5; output: added to existing ni_mc_mp_20kv.h5).</p>
Dynamical simulation of EBSD master pattern of silicon
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of silicon (<em>Fd<span class="math-tex">\(\bar{3}\)</span>m</em>, <em>a</em> = 5.4307 Å). The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 5 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python 3.7 or higher and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/si_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG file shows the stereographic projection of the upper hemisphere of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: si.xtal), EMMCOpenCL (input: si.xtal, mcopencl.nml; output: si_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, si_mc_mp_20kv.h5; output: added to existing si_mc_mp_20kv.h5).</p>
Data sets: Resolving local microstructure variations in Zr tubes using EBSD and imaging
<p>SEM images and EBSD CTF files.</p> <p>CTF files contain measured Euler Angles that can be used for replicating all figures presented in the paper. </p>
Dynamical simulation of EBSD master pattern of chi-phase in steel
<p>Dynamical simulation of an electron backscatter diffraction (EBSD) master pattern of a chi-phase (Fe<sub>36</sub>Cr<sub>15</sub>Mo<sub>7</sub>) in steel (<em>I<span class="math-tex">\(\bar{4}\)</span>3m</em>, <em>a</em> = 8.854 Å) (see Kasper [1954], doi:<a href="https://doi.org/10.1016/0001-6160(54)90066-8">10.1016/0001-6160(54)90066-8)</a>. The master pattern was simulated with EMsoft v5.0. The HDF5 file includes master patterns of the upper and lower hemispheres, in both the stereographic projection and the square Lambert projection, of accelerating voltages from 10 to 20 kV with an increment of 1 kV.</p> <p>The HDF5 file can be opened with any HDF5 reader, e.g. the applications HDFView and HDFCompass or the Python library h5py. The file can also be read and plotted with the Python library kikuchipy (https://kikuchipy.org). Assuming Python and the library is installed, the stereographic projection of the master pattern with all energies can be read and plotted with the following commands:</p> <pre><code class="language-python">import kikuchipy as kp s = kp.load("/path/to/steel_chi_mc_mp_20kv.h5") s.plot()</code></pre> <p>The PNG files show the stereographic projection of the upper and lower hemispheres of the master pattern from 20 kV. The remaining files are input and output files to the EMsoft programs EMmkxtal (output: steel_chi.xtal), EMMCOpenCL (input: steel_chi.xtal, mcopencl.nml; output: steel_chi_mc_mp_20kv.h5) and EMEBSDmaster (input: BetheParameters.nml, ebsdmaster.nml, steel_chi_mc_mp_20kv.h5; output: added to existing steel_chi_mc_mp_20kv.h5).</p>
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