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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (9/9 displayed)

  • 2024Effect of AM processes on the compressive behaviour of 316L architected materialscitations
  • 2024Maturity, characterisation and decision support system: a multidisciplinary approach to select WAAM-CMT process parameterscitations
  • 2024Maturity, characterisation and decision support system: a multidisciplinary approach to select WAAM-CMT process parameterscitations
  • 2023Influence of wire feed speed and torch speed on the mechanical properties of wire arc additively manufactured stainless steel3citations
  • 2023Vers l’aide au choix des paramètres de fabrication additive : application au procédé arc-fil (WAAM)citations
  • 2023Influence of Wire Feed Speed and Torch Speed on the Mechanical Properties of Wire Arc Additively Manufactured Stainless Steel3citations
  • 2023Paramètres de fabrication additive métallique arc-fil : vers un modèle d’aide à la décisioncitations
  • 2021Bead geometry prediction using multiple linear regression analysis: Application to Ti-6Al-4V beads made by laser metal powder deposition9citations
  • 2019Influence of machine parameters on Ti-6-Al-4V small sized specimens made by laser metal depositioncitations

Places of action

Chart of shared publication
Viot, Philippe
1 / 36 shared
Buros, Camille
1 / 1 shared
Terrenoir, Laurent
6 / 7 shared
Merlo, Christophe
6 / 6 shared
Salvado, Laura Laguna
3 / 3 shared
Arjunan, Arun
6 / 34 shared
Laguna Salvado, Laura
1 / 1 shared
Laguna Salvadó, Laura
1 / 1 shared
Salvadó, Laura Laguna
1 / 1 shared
Brugger, Charles
2 / 12 shared
Milhomme, Sarah
2 / 2 shared
Froustey, Catherine
2 / 12 shared
Dufau, Ludovic
1 / 1 shared
Chart of publication period
2024
2023
2021
2019

Co-Authors (by relevance)

  • Viot, Philippe
  • Buros, Camille
  • Terrenoir, Laurent
  • Merlo, Christophe
  • Salvado, Laura Laguna
  • Arjunan, Arun
  • Laguna Salvado, Laura
  • Laguna Salvadó, Laura
  • Salvadó, Laura Laguna
  • Brugger, Charles
  • Milhomme, Sarah
  • Froustey, Catherine
  • Dufau, Ludovic
OrganizationsLocationPeople

article

Influence of Wire Feed Speed and Torch Speed on the Mechanical Properties of Wire Arc Additively Manufactured Stainless Steel

  • Terrenoir, Laurent
  • Merlo, Christophe
  • Salvado, Laura Laguna
  • Lartigau, Julie
  • Arjunan, Arun
Abstract

(WAAM) enables 3D printing of large high-value metal components. However, integrating WAAM into production lines requires a critical understanding of the influence of process parameters on the resulting material characteristics. As such, this research investigates the relationship between WAAM wire feed speed (WFS) and torch speed (TS) on the resulting mechanical characteristics of 316LSi thick parts (2.5 cm (0.98 in.)). The experimental procedure is informed by a training matrix that allows parametric analysis of WFS and TS on the ultimate tensile strength (σult), yield strength (σy), elastic modulus (E), failure strain (εf), hardness (HV0.5), and dimensional accuracy (Da) of the printed samples. The research found that WAAM-processed 316LSi parts feature isotropic material properties despite variations in WFS and TS. The surrogate model developed in this study offers five significant polynomial models capable of accurately predicting the influence of WAAM process parameters on σult, σy, εf, E, and Da. The research found TS to be the most significant WAAM process parameter in comparison to WFS for σult and εf. On the contrary, σy, E, and Da were found to be primarily driven by WFS as opposed to TS. Overall, the paper for the first time presents an accurate surrogate model to predict the mechanical characteristics of WAAM 316LSi thick parts informed by wire feed speed and torch speed. The study demonstrates that the mechanical properties of WAAM-processed steel are primarily influenced by the underlying process parameters offering significant potential for tunable performance.

Topics
  • impedance spectroscopy
  • stainless steel
  • strength
  • hardness
  • yield strength
  • tensile strength
  • isotropic
  • wire