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)

  • 2007Material flow around a friction stir welding tool5citations
  • 2005Finite element modelling of friction stir welding of aluminium alloy plates-inverse analysis using a genetic algorithm15citations

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Chart of shared publication
Vuyst, Tom De
2 / 8 shared
Meester, B. De
1 / 2 shared
Simar, A.
1 / 7 shared
Pierret, S.
1 / 3 shared
Chart of publication period
2007
2005

Co-Authors (by relevance)

  • Vuyst, Tom De
  • Meester, B. De
  • Simar, A.
  • Pierret, S.
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article

Finite element modelling of friction stir welding of aluminium alloy plates-inverse analysis using a genetic algorithm

  • Vuyst, Tom De
  • Dalvise, L.
  • Meester, B. De
  • Simar, A.
  • Pierret, S.
Abstract

This paper presents finite element simulation results of instrumented FSW experiments on aluminium alloys 6005A-T6 and 2024-T3. The SAMCEF™ finite element code is used to perform the simulations. The FE model involves a sequential thermal-mechanical analysis and includes contact between the meshed tool, workpiece and backing plate. The model takes into account the pressure applied by the tool on the weld as well as the heat input. The heat transfers such as convection in air and contact conductance with the backing plate are modelled. For each experiment, the temperature time-histories were recorded at several locations in the workpiece. The heat input in the finite element model is identified by minimising the objective function of a constrained problem using a genetic optimisation algorithm. The objective function is the square of the difference between the experimental measurements and the numerical prediction of temperature. Finally, levels of residual stress predicted by simulation are presented.

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • aluminium
  • aluminium alloy