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)

  • 2018Parallel three-dimensional electrical capacitance data imaging using a nonlinear inversion algorithm and Lp norm-based model regularization23citations
  • 2004Numerical experiments into the localization of deformation during recrystallization flowcitations

Places of action

Chart of shared publication
Komatitsch, Dimitri
1 / 2 shared
Martin, Roland
1 / 3 shared
Ogarko, Vitaliy
1 / 1 shared
Evans, L.
1 / 2 shared
Bons, P. D.
1 / 3 shared
Piazolo, S.
1 / 9 shared
Chart of publication period
2018
2004

Co-Authors (by relevance)

  • Komatitsch, Dimitri
  • Martin, Roland
  • Ogarko, Vitaliy
  • Evans, L.
  • Bons, P. D.
  • Piazolo, S.
OrganizationsLocationPeople

article

Numerical experiments into the localization of deformation during recrystallization flow

  • Evans, L.
  • Jessell, Mark
  • Bons, P. D.
  • Piazolo, S.
Abstract

<p>The localization of deformation in recrystallizing materials is investigated via a series of two-dimensional grain-scale numerical simulations. These simulations couple a grain size and strain dependant viscous rheology with grain size reduction and grain growth processes. The simulations are able to predict the mechanical, microstructural and strain evolution of the polycrystals to high strain, and allow us to examine the nature of the time dependent feedback between mechanical and microstructural behavior. It was found that significant strain localization occurred only when the grain size dependence of the viscosity was non-linear, and was greatly enhanced by the activity of the grain size modifying processes. The intensity and location of the zone of strain localization varied spatially and temporally, with the result that the finite strain state showed a much broader, and hence less intense, zone of localized deformation than the instantaneous state.</p>

Topics
  • impedance spectroscopy
  • grain
  • grain size
  • experiment
  • simulation
  • laser emission spectroscopy
  • viscosity
  • two-dimensional
  • recrystallization
  • grain growth