| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Poulsen, Henning, F.
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 20243D microstructural and strain evolution during the early stages of tensile deformationcitations
- 2024Microstructure and stress mapping in 3D at industrially relevant degrees of plastic deformationcitations
- 2023Exploring 4D microstructural evolution in a heavily deformed ferritic alloycitations
- 2023Inferring the probability distribution over strain tensors in polycrystals from diffraction based measurementscitations
- 2022High-resolution 3D X-ray diffraction microscopy: 3D mapping of deformed metal microstructurescitations
- 2022Multiscale Exploration of Texture and Microstructure Development in Recrystallization Annealing of Heavily Deformed Ferritic Alloyscitations
- 2022Multiscale characterisation of strains in semicrystalline polymers
- 20224D microstructural evolution in a heavily deformed ferritic alloycitations
- 2020Grain boundary mobilities in polycrystalscitations
- 2019Fast and quantitative 2D and 3D orientation mapping using Raman microscopycitations
- 2018Three-dimensional grain growth in pure iron. Part I. statistics on the grain levelcitations
- 2017Determining material parameters using phase-field simulations and experimentscitations
- 2017Ultra-low-angle boundary networks within recrystallizing grainscitations
- 2015Injection molded polymeric hard X-ray lensescitations
- 2014High-Resolution Reciprocal Space Mapping for Characterizing Deformation Structurescitations
- 2012X-ray diffraction contrast tomography (DCT) system, and an X-ray diffraction contrast tomography (DCT) method
- 2011On the Use of Laguerre Tessellations for Representations of 3D Grain Structurescitations
- 2011Grain-resolved elastic strains in deformed copper measured by three-dimensional X-ray diffractioncitations
- 2011Three-Dimensional Orientation Mapping in the Transmission Electron Microscopecitations
- 2009Structured scintillators for X-ray imaging with micrometre resolutioncitations
- 2009New opportunities for 3D materials science of polycrystalline materials at the micrometre lengthscale by combined use of X-ray diffraction and X-ray imagingcitations
- 2009Measuring the elastic strain of individual grains in polycrystalline materials
- 2008A high-spatial-resolution three-dimensional detector array for 30-200 keV X-rays based on structured scintillatorscitations
- 2004Simultaneous measurement of the strain tensor of 10 individual grains embedded in an Al tensile samplecitations
- 2004Measurement of the components of plastic displacement gradients in three dimensionscitations
- 2004Metal Microstructures in Four Dimensions
- 20023DXRD microscopy - a comparison with neutron diffractioncitations
- 2000A high energy microscope for local strain measurements within bulk materials
Places of action
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document
Measuring the elastic strain of individual grains in polycrystalline materials
Abstract
3DXRD is not only an excellent tool when it comes to non-destructively determining the positions and orientations of individual grains within the bulk of a polycrystalline material, the experiment can also provide grain resolved elastic strain tensors. To extract this information the program FitAllB, which fits centre-of-mass grain positions, orientations and strain tensors from the experimental far-field 3DXRD data, was developed. The program builds on peaksearch, ImageD11 and GrainSpotter and will eventually be implemented in the Fable GUI. By the use of simulated data the presentation will focus on some of the important aspects you have to take into account in order to determine the strain tensors of the individual grains to the desired accuracy of 10-4. The first thing is how to handle the peak overlaps that will inevitably occur, especially for textured and/or deformed materials. Secondly a careful calibration of the global parameters relating to the experiment (sample-to-detector distance, tilts of detector and sample and beam centre on detector) must be performed. For this purpose the option of fitting the global parameters simultaneously for any number of indexed grains is included in FitAllB. Finally some examples of applying FitAllB to analyze experimental 3DXRD data will be shown. These will include an experiment performed using both a near- and a far-field detector, thus making it possible to improve the grain positions by fitting these against the near-field data. Again this can be done within FitAllB. In addition to the centre-of-mass grain positions, orientations and strain tensors, FitAllB also calculates the relative volumes of the grains based on the peak intensities, so using a tessellation routine a crude 3D map of the elastic strain in the polycrystal can be obtained.