Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates25citations

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Chart of shared publication
Sedighiani, Karo
1 / 11 shared
Roters, F.
1 / 51 shared
Diehl, M.
1 / 10 shared
Bos, C.
1 / 14 shared
Shah, V.
1 / 2 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Sedighiani, Karo
  • Roters, F.
  • Diehl, M.
  • Bos, C.
  • Shah, V.
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article

Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates

  • Dokkum, J. S. Van
  • Sedighiani, Karo
  • Roters, F.
  • Diehl, M.
  • Bos, C.
  • Shah, V.
Abstract

<p>Predicting microstructure and (micro-)texture evolution during thermo-mechanical processing requires the combined simulation of plastic deformation and recrystallization. Here, a simulation approach based on the coupling of a full-field dislocation density based crystal plasticity model and a cellular automaton model is presented. A regridding/remeshing procedure is used to transfer data between the deformed mesh of the large-strain crystal plasticity model and the regular grid of the cellular automaton. Moreover, a physics based nucleation criterion has been developed based on dislocation density difference and changes in orientation due to deformation. The developed framework is used to study meta-dynamic recrystallization during double-hit compression tests and multi-stand rolling in high-resolution representative volume elements. These simulations reveal a good agreement with experimental results in terms of texture evolution, mechanical behaviour and growth kinetics, while enabling insights regarding the effect of nucleation on kinetics and crystallographic texture evolution.</p>

Topics
  • density
  • impedance spectroscopy
  • microstructure
  • polymer
  • simulation
  • dislocation
  • compression test
  • texture
  • plasticity
  • recrystallization
  • crystal plasticity
  • hot rolling