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 (2/2 displayed)

  • 2017Modelling of anelastic deformation in dual-phase steel for improved springback simulation2citations
  • 2013Strain direction dependency of martensitic transformation in austenitic stainless steels: The effect of gamma-texture34citations

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Van Den Boogaard, Ton
2 / 135 shared
Torkabadi, Ali
1 / 2 shared
Geijselaers, H. J. M.
1 / 7 shared
Perdahcioglu, Emin Semih
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Bor, T. C.
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Vd Boogaard, A. H.
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Hilkhuijsen, P.
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Akkerman, Remko
1 / 423 shared
Bor, Teunis Cornelis
1 / 12 shared
Geijselaers, Hubert
1 / 31 shared
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2017
2013

Co-Authors (by relevance)

  • Van Den Boogaard, Ton
  • Torkabadi, Ali
  • Geijselaers, H. J. M.
  • Perdahcioglu, Emin Semih
  • Bor, T. C.
  • Vd Boogaard, A. H.
  • Hilkhuijsen, P.
  • Akkerman, Remko
  • Bor, Teunis Cornelis
  • Geijselaers, Hubert
OrganizationsLocationPeople

article

Modelling of anelastic deformation in dual-phase steel for improved springback simulation

  • Van Den Boogaard, Ton
  • Perdahcioǧlu, E. S.
  • Torkabadi, Ali
Abstract

<p>Classical elasto-plastic models assume linear elastic stress-strain relations for all stresses within the yield surface. Closer examination discloses a nonlinear relation in the elastic domain that is dependent on the prior plastic deformation. The 'unloading strain' can be decomposed in a linear elastic contribution and an anelastic contribution that is related to reversible dislocation movement in the crystal lattice. The anelastic contribution in the total recovered strain upon unloading is significant and therefore should be considered in accurate springback predictions. Modelling of this phenomenon with E-modulus degradation is fundamentally incorrect and only gives a fair strain prediction after completely unloading the material. In springback situations, inner fibres of the sheet material are partly unloaded and outer fibres are even reloaded in compression. Therefore, a model is required that includes the amount of plastic pre-loading and the amount of unloading separately. For implementation of the model in a finite element code, it needs to be formulated in the complete 6-dimensional stress space and not only for uniaxial stresses. A model is presented that can be applied for arbitrary strain paths and that is consistent with the main observations in uniaxial loading-unloading-reloading experiments.</p>

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • phase
  • experiment
  • simulation
  • steel
  • dislocation
  • crystalline lattice