| People | Locations | Statistics |
|---|---|---|
| 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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article
Determining material parameters using phase-field simulations and experiments
Abstract
A method to determine material parameters by comparing the evolution of experimentally determined 3D microstructures to simulated 3D microstructures is proposed. The temporal evolution of a dendritic solid-liquid mixture is acquired in situ using x-ray tomography. Using a time step from these data as an initial condition in a phase-field simulation, the computed structure is compared to that measured experimentally at a later time. An optimization technique is used to find the material parameters that yield the best match of the simulated microstructure to the measured microstructure in a global manner. The proposed method is used to determine the liquid diffusion coefficient in an isothermal Al-Cu alloy. However, the method developed is broadly applicable to other experiments in which the evolution of the three-dimensional microstructure is determined in situ. We also discuss methods to describe the local variation of the best-fit parameters and the fidelity of the fitting. We find a liquid diffusion coefficient that is different from that measured using directional solidification.