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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ETH Zurich

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2022Structure and texture simulations in fusion welding processes – comparison with experimental data12citations
  • 2021Breakage of flawed particles by peridynamic simulations6citations
  • 2021Proper orthogonal decomposition analysis of variable temperature field during gas tungsten arc welding6citations
  • 2019Peridynamics simulation of particle crushingcitations
  • 2017Peridynamics simulation of the comminution of particles containing microcraks3citations
  • 2006Image Sensors Based on Thin-film on CMOS Technology: Additional Leakage Currents due to Vertical Integration of the a-Si:H Diodes7citations

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Chart of shared publication
Guillemot, Gildas
1 / 60 shared
Bordreuil, Cyril
2 / 21 shared
Xue, Chengdan
1 / 1 shared
Bellet, Michel
1 / 69 shared
Soulié, Fabien
2 / 14 shared
Deschaux-Beaume, Frédéric
1 / 41 shared
Gandin, Charles-André
1 / 135 shared
Frank, Xavier
3 / 8 shared
Mayer-Laigle, Claire
2 / 16 shared
Delenne, Jean-Yves
3 / 34 shared
Radjai, Farhang
3 / 32 shared
Bendaoud, Issam
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Boutin, T.
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Mayer, Claire
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Co-Authors (by relevance)

  • Guillemot, Gildas
  • Bordreuil, Cyril
  • Xue, Chengdan
  • Bellet, Michel
  • Soulié, Fabien
  • Deschaux-Beaume, Frédéric
  • Gandin, Charles-André
  • Frank, Xavier
  • Mayer-Laigle, Claire
  • Delenne, Jean-Yves
  • Radjai, Farhang
  • Bendaoud, Issam
  • Boutin, T.
  • Mayer, Claire
OrganizationsLocationPeople

article

Structure and texture simulations in fusion welding processes – comparison with experimental data

  • Guillemot, Gildas
  • Bordreuil, Cyril
  • Xue, Chengdan
  • Bellet, Michel
  • Soulié, Fabien
  • Deschaux-Beaume, Frédéric
  • Blanc, Nicolas
  • Gandin, Charles-André
Abstract

The Cellular Automaton-Finite Element (CAFE) method is used to simulate grain structure evolution during gas tungsten arc welding of 316 L steel plates. The experimental configuration is designed for in-situ observations of the melt pool and liquid flow. It is complemented by electron back scattered diffraction analyses to reveal the texture resulting from melting and solidification. Simple configurations are used to facilitate comparisons with simulations, that consider no addition of metal (remelting process) and constant power for two welding speeds. It is found that the melt pool shape can be very well retrieved for the two welding speeds providing that the relation between the dendrite tip growth velocity and the undercooling is adjusted. As a result, the computed grain structure reaches good agreement with measurements in terms of morphology, orientation and texture. A standard growth kinetics model underestimates the melt pool shape and results in large deviation of the simulated grain structure with measurements. The plate subsidence after processing reaches a maximum deflection at the center of the weld seam. It is also measured and compared to the simulations that include free metal/gas boundaries, showing satisfying results despite a weaker calculated fluid flow. Finally, the chaining and coupling schemes of the CAFE model are both studied in order to quantitatively evaluate their roles on the predicted melt pool shape and grain structure. The coupling scheme reveals better coherency between macroscopic results and grain structure simulation.

Topics
  • impedance spectroscopy
  • morphology
  • grain
  • simulation
  • melt
  • steel
  • texture
  • tungsten
  • solidification