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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Ziri, Sabrine

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024Contribution of the Self-Heating Method in the Characterization of the Fatigue Damage of Materials With Defects Resulting From Additive Manufacturingcitations
  • 2022Combined effect of powder properties and process parameters on the density of 316L stainless steel obtained by laser powder bed fusion30citations
  • 2022Combined effect of powder properties and process parameters on the mechanical properties of stainless steel 316L elaborated by Laser Powder Bed Fusioncitations
  • 2021Effect of powder size and processing parameters on surface, density and mechanical properties of 316L elaborated by Laser Powder Bed Fusion12citations

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Mabru, Catherine
2 / 37 shared
Hor, Anis
2 / 28 shared
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2024
2022
2021

Co-Authors (by relevance)

  • Mabru, Catherine
  • Hor, Anis
OrganizationsLocationPeople

article

Effect of powder size and processing parameters on surface, density and mechanical properties of 316L elaborated by Laser Powder Bed Fusion

  • Ziri, Sabrine
Abstract

<jats:p>Despite the attractive capabilities of additive manufacturing (AM) technology, the industrialization of these processes remains very low. This is attributed to the complexes physical phenomena involved in the AM process and the layered structure of the produced parts. Intense research work is still needed for the prediction and optimization of AM parts mechanical properties. In this study, the influence of particle size distribution (PSD) of stainless steel 316L (SS 316L) powders on AM parts properties was investigated. Four PSD were used to produce test parts and compare the resulting porosity, surface roughness and macro-hardness. The SS 316L specimens were fabricated by Laser Powder Bed Fusion process (LPBF) on a SLM 125HL machine using variations in laser power and scan velocity. Computed scan tomography (CT) was used to characterize the defects. Lack of fusion and keyhole defects were detected. Defects were detected even in nearly dense parts. The powder size distribution was found to affect the porosity. Results from CT tests were used to identify the minimum achievable porosities for each powder, through the appropriate selection of process parameters. The macro-hardness and surface roughness were found to vary with the powder properties.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • stainless steel
  • tomography
  • layered
  • hardness
  • selective laser melting
  • defect
  • porosity