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 (3/3 displayed)

  • 2013Numerical investigation and experimental validation of a plasticity model for sheet steel forming13citations
  • 2013Dislocation-based model for the prediction of the behavior of b.c.c. materials – grain size and strain path effects58citations
  • 2010Application of a dislocation based model for Interstitial Free (IF) steels to typical stamping simulations3citations

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Chart of shared publication
Sablin, Simon-Serge
2 / 7 shared
Balan, Tudor
3 / 33 shared
Abed-Meraim, Farid
2 / 88 shared
Bouvier, Salima
3 / 53 shared
Sablin, Simon Serge
1 / 1 shared
Meraim, Farid Abed
1 / 1 shared
Chart of publication period
2013
2010

Co-Authors (by relevance)

  • Sablin, Simon-Serge
  • Balan, Tudor
  • Abed-Meraim, Farid
  • Bouvier, Salima
  • Sablin, Simon Serge
  • Meraim, Farid Abed
OrganizationsLocationPeople

article

Dislocation-based model for the prediction of the behavior of b.c.c. materials – grain size and strain path effects

  • Balan, Tudor
  • Sablin, Simon Serge
  • Meraim, Farid Abed
  • Bouvier, Salima
  • Resende, Tales Carvalho
Abstract

Sheet metal forming processes involve multi-axial strain paths. For the numerical simulation of such processes, an appropriate constitutive model that properly describes material behavior at large strain is required. For accurate and time-effective simulations, it is crucial to use plasticity models based on physics, as material macroscopic behavior is closely related to the evolution of the associated microstructures. Accordingly, a large strain work-hardening phenomenological model that incorporates the intragranular microstructure evolution through a dislocation density approach is proposed. The model is defined by a yield criterion and hardening laws that are all grain-size dependent. The classical Hill criterion in which grain-size dependency was introduced is proposed. Hardening laws are given by a combination of kinematic and isotropic contributions that respectively take into account the evolution with strain of cell blocks formed by geometrically necessary boundaries (GNBs) and individual dislocation cells delineated by incidental dislocation boundaries within cell blocks (IDBs). On the one hand, IDBs evolution contribution is described by a modified Rauch et al. isotropic model, which is able to describe work-hardening stagnation and work-softening. On the other hand, GNBs evolution contribution is described by a grain-size dependent tensorial back-stress expression proposed by Aouafi et al. [2007] to describe the plastic anisotropy and Bauschinger effect. Moreover, the proposed model aims to accurately predict steel behavior through an innovative approach by only changing few “simply measurable” microstructure data (e.g. chemical composition, grain size…). The predictive capabilities of the model are assessed for interstitial free (IF) and dual phase (DP) steels with grain sizes varying respectively in the 8-40 µm and 1-10 µm value range. Different loading paths are analyzed, namely the uniaxial tensile test, reversal simple shear and orthogonal tests.

Topics
  • density
  • impedance spectroscopy
  • polymer
  • grain
  • grain size
  • phase
  • simulation
  • steel
  • chemical composition
  • dislocation
  • forming
  • plasticity
  • isotropic
  • interstitial