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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Faria, Guilherme Abreu

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Residual Stresses in a Wire and Arc-Directed Energy-Deposited Al–6Cu–Mn (ER2319) Alloy Determined by Energy-Dispersive High-Energy X-ray Diffraction3citations
  • 2023MiniMelt: An instrument for real-time tracking of electron beam additive manufacturing using synchrotron x-ray techniques8citations
  • 2023Sliding wear resistance and residual stresses of parts repaired by laser metal deposition3citations
  • 2019On the use of metastable interface equilibrium assumptions on prediction of solidification micro-segregation in laser powder bed fusion6citations

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Chart of shared publication
Schneider-Bröskamp, Christian
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Klein, Thomas
1 / 28 shared
Spörk-Erdely, Petra
1 / 18 shared
Oliveira, João Pedro
1 / 98 shared
Koenig, Hans-Henrik
1 / 1 shared
Lienert, Ulrich
1 / 29 shared
Ye, Jihui
1 / 4 shared
Ackelid, Ulf
1 / 2 shared
Bidola, Pidassa
1 / 2 shared
Renner, Jakob
1 / 7 shared
Hedström, Peter
1 / 26 shared
Spartacus, Gabriel
1 / 13 shared
Staron, Peter
1 / 44 shared
Wahlmann, Benjamin
1 / 9 shared
Lindwall, Greta
1 / 15 shared
Semjatov, Nick
1 / 5 shared
Wildheim, Martin
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Ioannidou, Chrysoula
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Beckmann, Felix
1 / 28 shared
Körner, Carolin
1 / 199 shared
Fridrici, Vincent
1 / 11 shared
Serrano-Munoz, Itziar
1 / 16 shared
Mishurova, Tatiana
1 / 50 shared
Bruno, Giovanni
1 / 107 shared
Charkaluk, Eric
1 / 48 shared
Zurcher, Théo
1 / 2 shared
Degener, Sebastian
1 / 13 shared
Wang, Yunzhi
1 / 3 shared
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2023
2019

Co-Authors (by relevance)

  • Schneider-Bröskamp, Christian
  • Klein, Thomas
  • Spörk-Erdely, Petra
  • Oliveira, João Pedro
  • Koenig, Hans-Henrik
  • Lienert, Ulrich
  • Ye, Jihui
  • Ackelid, Ulf
  • Bidola, Pidassa
  • Renner, Jakob
  • Hedström, Peter
  • Spartacus, Gabriel
  • Staron, Peter
  • Wahlmann, Benjamin
  • Lindwall, Greta
  • Semjatov, Nick
  • Wildheim, Martin
  • Ioannidou, Chrysoula
  • Beckmann, Felix
  • Körner, Carolin
  • Fridrici, Vincent
  • Serrano-Munoz, Itziar
  • Mishurova, Tatiana
  • Bruno, Giovanni
  • Charkaluk, Eric
  • Zurcher, Théo
  • Degener, Sebastian
  • Wang, Yunzhi
OrganizationsLocationPeople

article

On the use of metastable interface equilibrium assumptions on prediction of solidification micro-segregation in laser powder bed fusion

  • Faria, Guilherme Abreu
  • Wang, Yunzhi
Abstract

<jats:p> Many models have been developed to explore solidification segregation and dendrite structure in additively manufactured parts. However, these models tend to be computationally expensive and consider only a limited number of alloying elements, compromising their practical application. In this work, a methodology to extend the Scheil model, based on interface metastable equilibrium assumptions, is established to predict the spatial compositional maps due to micro-segregation for a laser-powder bed fusion (L-PBF) build of alloy 718. The compositional maps are contrasted against experimental data measured in a unit dendrite cell by transmission electron microcopy. The validity of Scheil's implicit assumptions under the rapid solidification conditions in L-PBF is further discussed. The extended Scheil model is shown to be computationally efficient and readily applicable to multi-component systems. </jats:p>

Topics
  • impedance spectroscopy
  • selective laser melting
  • rapid solidification