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 (7/7 displayed)

  • 2023Modeling CDRX and MDRX during hot forming of zircaloy-43citations
  • 2023Full Field Grain Size Prediction Considering Precipitates Evolution and Continuous Dynamic Recrystallization with DIGIMU® Solution2citations
  • 2022Characterization and modeling of the influence of initial microstructure on recrystallization of Zyrcaloy-4 during hot formingcitations
  • 2022Simulation of Continuous Dynamic Recrystallization Using a Level-Set Method15citations
  • 2022Characterization and modeling of zircaloy-4 recrystallization during hot forming ; Caractérisation et modélisation de la recristallisation du zircaloy-4 lors de la mise en forme à chaudcitations
  • 2022Towards Multi-Scale Modeling of Zirconium Alloys Recrystallization and Application to Thermo-Mechanical Processes Optimization2citations
  • 2021Grain size characterization in metallic alloys using different microscopy and post-processing techniques16citations

Places of action

Chart of shared publication
Bernacki, Marc
6 / 123 shared
Flipon, Baptiste
4 / 17 shared
Gaillac, Alexis
5 / 9 shared
De Micheli, Pascal
1 / 10 shared
Alvarado, Karen
1 / 7 shared
Arsen, Alan
1 / 1 shared
Gaillard, Quentin
1 / 2 shared
Murgas, Brayan
1 / 6 shared
Nicolaÿ, Alexis
1 / 9 shared
Bozzolo, Nathalie
1 / 85 shared
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2023
2022
2021

Co-Authors (by relevance)

  • Bernacki, Marc
  • Flipon, Baptiste
  • Gaillac, Alexis
  • De Micheli, Pascal
  • Alvarado, Karen
  • Arsen, Alan
  • Gaillard, Quentin
  • Murgas, Brayan
  • Nicolaÿ, Alexis
  • Bozzolo, Nathalie
OrganizationsLocationPeople

article

Towards Multi-Scale Modeling of Zirconium Alloys Recrystallization and Application to Thermo-Mechanical Processes Optimization

  • Arsen, Alan
  • Bernacki, Marc
  • Gaillard, Quentin
  • Gaillac, Alexis
  • Grand, Victor
Abstract

International audience ; Zirconium alloys are used in the nuclear industry due to their low neutron capture cross-section and resistance to corrosion, irradiation and creep. The microstructure of the nuclear fuel components evolves during the manufacturing route and can impact the subsequent processes or the final properties. Thus, numerical modeling of thermo-mechanical manufacturing processes is of interest to understand and master these microstructure evolutions.Numerical modeling of thermo-mechanical manufacturing processes with FORGE ® NxT software is applied. These models provide the thermo-mechanical history of the material at each integration point of the finite element (FE) mesh, which can be used to assess locally the continuous dynamic and post-dynamic recrystallization during hot extrusion.Mean-field models were developed in Python and integrated into FORGE ® NxT software, to quantify the microstructure evolution at the macro-scale of the component. Full-field models (DIGIMU ® software 1 ) were also developed for considering microstructural heterogeneities and the influence of initial microstructure at the mesoscopic scale while improving the mean-field equations by homogenization.After validation based on experimental results, these two recrystallization models provide complementary information to optimize the process parameters at the macro-scale and to better understand mesoscopic scale phenomena, such as:• At the macro-scale: influence of hot extrusion parameters on the continuous dynamic and post-dynamic recrystallization of Zircaloy-4.• At the meso-scale: influence of the initial microstructure on the recrystallization phenomena with improved precision. Indeed, the topology of the microstructure is predicted and not only the mean values/distributions of the state variables.

Topics
  • impedance spectroscopy
  • microstructure
  • corrosion
  • simulation
  • zirconium
  • zirconium alloy
  • recrystallization
  • homogenization
  • creep
  • hot extrusion