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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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Borodin, Elijah
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2024Discrete modelling of continuous dynamic recrystallisation by modified Metropolis algorithmcitations
- 2024Triple junction disclinations in severely deformed Cu-0.4%Mg alloyscitations
- 2024Discrete model for discontinuous dynamic recrystallisation applied to grain structure evolution inside adiabatic shear bandscitations
- 2024Defect-induced fracture topologies in Al 2 O 3 ceramic-graphene nanocomposites
- 2024Defect-induced fracture topologies in Al2O3 ceramic-graphene nanocomposites
- 2023Topological characteristics of grain boundary networks during severe plastic deformations of copper alloyscitations
- 2021Triple junctions network as the key pattern for characterisation of grain structure evolution in metalscitations
- 2021Optimisation of rGO-enriched nanoceramics by combinatorial analysiscitations
- 2020Evolution of triple junctions’ network during severe plastic deformation of copper alloys – a discrete stochastic modellingcitations
- 2019Experimental and numerical analyses of microstructure evolution of Cu-Cr-Zr alloys during severe plastic deformationcitations
- 2017Grain refinement kinetics in a low alloyed Cu-Cr-Zr alloy subjected to large strain deformationcitations
- 2015Kinetic model for mechanical twinning and its application for intensive loading of metals
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article
Triple junction disclinations in severely deformed Cu-0.4%Mg alloys
Abstract
Stress fields arising from triple junction disclinations (TJDs) play a significant role in the microstructure evolution during the plastic deformation of metals. The calculation of TJD strengths from grain orientation data was developed by Bollmann more than 50 years ago, but so far applied only to collections of a few grains. Developed here is a new methodology for calculating TJD strengths and the associated stress fields in large polycrystalline assemblies using experimental electron back-scattered diffraction (EBSD) maps. The methodology combines Bollmann's approach with a representation of materials as cell complexes. It is computationally efficient and allows for obtaining the spatial distribution of TJD strengths from EBSD images containing thousands of grains. Analysed are the fraction, distribution, and strengths of TJDs within statistically representative microstructures of Cu-0.4%Mg alloy subjected to severe plastic deformation (SPD) by equal channel angular pressing. It is shown that the formation of low-angle grain boundaries (dislocation walls) during SPD leads to an increasing number of TJDs, whose spatial distribution is progressively more uniform and whose strength distribution remains nearly constant. This result suggests that the SPD reduces the internal stresses associated with disclinations in large regions of the material, as closely situated disclinations screen each other's fields. Regions with high local stresses can be expected between sparsely distributed TJDs with the highest strengths. The average distance between such TJDs could be consideredas a natural length scale in a material.