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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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 (8/8 displayed)

  • 2024Modeling of Texture Development during Metal Forming Using Finite Element Visco-Plastic Self-Consistent Model3citations
  • 2024Investigations on the Forging Behavior of Mg–Ca–Al Alloyscitations
  • 2023Applicability of a deformation dilatometer for short time creep experiments of magnesium alloys2citations
  • 2023Investigations on forging of low-density Mg-Li alloyscitations
  • 2022Investigations on a ternary Mg-Ca-Si wrought alloy extruded at moderate temperatures3citations
  • 2022Forging of an age-hardenable Mg–Al–Ca–Mn–Zn alloy on industrial scalecitations
  • 2022Viscoplastic Self-Consistent (VPSC) Modeling for Predicting the Deformation Behavior of Commercial EN AW-7075-T651 Aluminum Alloycitations
  • 2017Quantitative prediction of the mechanical properties of precipitation hardened alloys with a special application to Al-Mg-Sicitations

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Chart of shared publication
Arnoldt, Aurel Ramon
2 / 9 shared
Theil, Elias
1 / 1 shared
Kronsteiner, Johannes
1 / 5 shared
Ott, Alois Christian
1 / 1 shared
Gneiger, Stefan
4 / 14 shared
Ott, Alois C.
1 / 1 shared
Grabner, Florian
2 / 8 shared
Nietsch, Jürgen A.
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Cerny, Angelika
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Großalber, Alexander
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Simson, Clemens
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Hatzenbichler, Thomas
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Pogatscher, Stefan
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Uggowitzer, Peter J.
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Österreicher, Johannes Albert
1 / 12 shared
Ma, Duancheng
1 / 14 shared
Kumar, Manoj
1 / 10 shared
Schlögl, Carina
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Schwarz, Sabine
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Co-Authors (by relevance)

  • Arnoldt, Aurel Ramon
  • Theil, Elias
  • Kronsteiner, Johannes
  • Ott, Alois Christian
  • Gneiger, Stefan
  • Ott, Alois C.
  • Grabner, Florian
  • Nietsch, Jürgen A.
  • Cerny, Angelika
  • Großalber, Alexander
  • Simson, Clemens
  • Hatzenbichler, Thomas
  • Pogatscher, Stefan
  • Uggowitzer, Peter J.
  • Österreicher, Johannes Albert
  • Ma, Duancheng
  • Kumar, Manoj
  • Schlögl, Carina
  • Schwarz, Sabine
OrganizationsLocationPeople

article

Modeling of Texture Development during Metal Forming Using Finite Element Visco-Plastic Self-Consistent Model

  • Arnoldt, Aurel Ramon
  • Papenberg, Nikolaus Peter
  • Theil, Elias
  • Kronsteiner, Johannes
  • Ott, Alois Christian
Abstract

In directional forming processes, such as rolling and extrusion, the grains can develop preferred crystal orientations. These preferred orientations-the texture-are the main cause for material anisotropy. This anisotropy leads to phenomena such as earing, which occur during further forming processes, e.g., during the deep drawing of sheet metal. Considering anisotropic properties in numerical simulations allows us to investigate the effects of texture-dependent defects in forming processes and the development of possible solutions. Purely phenomenological models for modeling anisotropy work by fitting material parameters or applying measured anisotropy properties to all elements of the part, which remain constant over the duration of the simulation. In contrast, crystal plasticity methods, such as the visco-plastic self-consistent (VPSC) model, provide a deeper insight into the development of the material microstructure. By experimentally measuring the initial texture and using it as an initial condition for the simulations, it is possible to predict the evolution of the microstructure and the resulting effect on the mechanical properties during forming operations. The results of the simulations with the VPSC model show a good agreement with corresponding compression tests and the earing phenomenon, which is typical for cup deep drawing.

Topics
  • impedance spectroscopy
  • polymer
  • grain
  • simulation
  • extrusion
  • anisotropic
  • compression test
  • texture
  • defect
  • plasticity
  • drawing
  • crystal plasticity