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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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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INSA Hauts-de-France

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Optimization of WLAM process Parameters for Metal Forming Tool Repaircitations
  • 2021A temperature-dependent heat source for simulating deep penetration in selective laser melting process7citations

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Co-Authors (by relevance)

  • Dubar, Mirentxu
  • Dubar, Laurent
  • Guérin, J-D
  • Boungomba, Hans
  • Moreau, Philippe
  • Dubois, André
  • Sadat, Tarik
  • Bergheau, Jean-Michel
  • Saadlaoui, Yassine
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article

A temperature-dependent heat source for simulating deep penetration in selective laser melting process

  • Bergheau, Jean-Michel
  • Saadlaoui, Yassine
  • Jia, Yabo
Abstract

International audience ; Numerical methods for simulating selective laser melting (SLM) have been widely carried out to understand the physical behaviors behind the process. Numerical simulation at the macroscale allows the relationship between input parameters (laser power, scanning speed, powder layer thickness, etc.) and output results (distortion, residual stress, etc.) to be investigated. However, the macroscale thermal models solved by the finite element method cannot predict the melt pool depth correctly as they ignore the effect of fluid flow in the melting pool, especially in the case of the presence of deep penetration. To remedy this limitation, an easy-implemented temperaturedependent heat source is proposed. This heat source can adjust its parameters during the simulation to compensate for these neglected thermal effects related to the fluid flow and keyhole, and the heat source’s parameters become fixed once the temperatures of the points of interest become stable. Contrary to the conventional heat source model, parameters of the proposed heat source do not require a calibration with experiments for each process parameter. The proposed model is validated by comparing its results with those of the anisotropic thermal conductivity method and experimental measurements. © 2021 by the authors.

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • melt
  • anisotropic
  • selective laser melting
  • thermal conductivity