| 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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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
Places of action
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article
Defect-induced fracture topologies in Al2O3 ceramic-graphene nanocomposites
Abstract
Models of ceramic-graphene nanocomposites are used to study how the manufacturing process-dependent arrangement of reduced graphene oxide (rGO) inclusions governs nano-crack network development. The work builds upon recent studies of such composites where a novel combinatorial approach was used to investigate the effect of rGO arrangements on electrical conductivity and porosity. This approach considers explicitly the discrete structure of the composite and represents it as a collection of entities of different dimensions - grains, grain boundaries, triple junctions, and quadruple points. Here, the combinatorial approach is developed further by considering the effects of rGO agglomerations, stress concentrators and adhesion energies on intergranular cracking. The results show that the fracture networks can be effectively controlled by the local ordering of rGO inclusions to allow for a concurrent increase in the strength and conductivity of the ceramic composites. It is shown that the ratio of local stress concentrators related to rGO inclusions and cracks is the most significant factor affecting the nano-crack network topology. The local spatial arrangement of rGO inclusions becomes an effective tool for controlling nano-crack network topology only when this ratio approaches one. It is anticipated that these results will inform future design of toughness-enhanced composites.