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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University of Twente

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024The effect of the laser beam intensity profile in laser-based directed energy deposition10citations
  • 2023Revealing the effects of laser beam shaping on melt pool behaviour in conduction-mode laser melting23citations
  • 2023Thermo-fluid modeling of influence of attenuated laser beam intensity profile on melt pool behavior in laser-assisted powder-based direct energy depositioncitations
  • 2022Thermo-fluidic behavior to solidification microstructure texture evolution during laser-assisted powder-based direct energy depositioncitations
  • 2021Should the oxygen source be considered in the initiation of KCl-induced high-temperature corrosion?8citations
  • 2020A mechanical contact model for superelastic shape memory alloys3citations

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Chart of shared publication
Luckabauer, Martin
3 / 19 shared
Ebrahimi, Amin
3 / 10 shared
Römer, Gert Willem R. B. E.
2 / 2 shared
Sood, Arjun
1 / 2 shared
Hermans, Marcel
1 / 11 shared
Babu, Aravind
1 / 3 shared
Römer, Gert-Willem R. B. E.
1 / 1 shared
Römer, Gert-Willem
1 / 15 shared
Hupa, Leena
1 / 90 shared
Lehmusto, Juho
1 / 14 shared
Halvarsson, Mats
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Co-Authors (by relevance)

  • Luckabauer, Martin
  • Ebrahimi, Amin
  • Römer, Gert Willem R. B. E.
  • Sood, Arjun
  • Hermans, Marcel
  • Babu, Aravind
  • Römer, Gert-Willem R. B. E.
  • Römer, Gert-Willem
  • Hupa, Leena
  • Lehmusto, Juho
  • Halvarsson, Mats
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document

Thermo-fluid modeling of influence of attenuated laser beam intensity profile on melt pool behavior in laser-assisted powder-based direct energy deposition

  • Luckabauer, Martin
  • Sattari, Mohammad
  • Römer, Gert-Willem R. B. E.
  • Ebrahimi, Amin
Abstract

A numerical framework based on computational fluid dynamics (CFD), using the finite volume method (FVM) and volume of fluid (VOF) technique is presented to investigate the effect of the laser beam intensity profile on melt pool behavior in laser-assisted powder-based directed energy deposition (L-DED). L-DED is an additive manufacturing (AM) process that utilizes a laser beam to fuse metal powder particles. To assure high-fidelity modeling, it was found that it is crucial to accurately model the interaction between the powder stream and the laser beam in the gas region above the substrate. The proposed model considers various phenomena including laser energy attenuation and absorption, multiple reflections of the laser rays, powder particle stream, particle-fluid interaction, temperature-dependent properties, buoyancy effects, thermal expansion, solidification shrinkage and drag, and Marangoni flow. The latter is induced by temperature and element-dependent surface tension. The model is validated using experimental results and highlights the importance of considering laser energy attenuation. Furthermore, the study investigates how the laser beam intensity profile affects melt pool size and shape, influencing the solidification microstructure and mechanical properties of the deposited material. The proposed model has the potential to optimize the L-DED process for a variety of materials and provides insights into the capability of numerical modeling for additive manufacturing optimization.<br/><br/>

Topics
  • Deposition
  • impedance spectroscopy
  • microstructure
  • surface
  • melt
  • thermal expansion
  • directed energy deposition
  • solidification