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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Influence of the temperature–time regime on the mechanical properties during the DED-Arc process of near-net-shape Ti-6Al-4 V components2citations
  • 2021Production of topology-optimised structural nodes using arc-based, additive manufacturing with GMAW welding process18citations
  • 2021Directed energy deposition-arc (DED-Arc) and numerical welding simulation as a hybrid data source for future machine learning applications10citations
  • 2019In situ production of titanium aluminides during wire arc additive manufacturing with hot-wire assisted GMAW process22citations
  • 2018Methodology and model for predicting energy consumption in manufacturing at multiple scales ; Methodik und Modell für die Vorhersage des Energieverbrauchs in der Herstellung auf unterschiedlichen Skalierungsebenen5citations

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Chart of shared publication
Henckell, Philipp
4 / 7 shared
Gierth, Maximilian
1 / 3 shared
Michael, Nils
1 / 1 shared
Hildebrand, Jörg
3 / 18 shared
Bergmann, Jean Pierre
4 / 54 shared
Hammer, Stefan
2 / 2 shared
Ali, Yarop
3 / 5 shared
Rauch, Alexander
2 / 2 shared
Rohe, Maximilian
1 / 1 shared
Metz, Andreas
1 / 1 shared
Friedemann, Marko
1 / 2 shared
Putz, Matthias
1 / 22 shared
Wenzel, Ken
1 / 1 shared
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2023
2021
2019
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Co-Authors (by relevance)

  • Henckell, Philipp
  • Gierth, Maximilian
  • Michael, Nils
  • Hildebrand, Jörg
  • Bergmann, Jean Pierre
  • Hammer, Stefan
  • Ali, Yarop
  • Rauch, Alexander
  • Rohe, Maximilian
  • Metz, Andreas
  • Friedemann, Marko
  • Putz, Matthias
  • Wenzel, Ken
OrganizationsLocationPeople

article

Production of topology-optimised structural nodes using arc-based, additive manufacturing with GMAW welding process

  • Hammer, Stefan
  • Henckell, Philipp
  • Ali, Yarop
  • Reimann, Jan
  • Rauch, Alexander
  • Hildebrand, Jörg
  • Bergmann, Jean Pierre
Abstract

The desire to generate a stress optimised structural node with maximum stability is often coupled with the goal of low manufacturing costs and an adapted and minimal use of material. The complex, three-dimensional free-form structures, which are created by means of topology-optimisation, are only partially suitable for conventional manufacturing. The wire arc additive manufacturing (WAAM), by means of arc welding processes, offer a cost-effective and flexible possibility for the individual production of complex, metallic components. Gas metal arc welding (GMAW) is particularly suitable to produce large-volume, load-bearing structures due to build-up rates of up to 5 kg/h. The generation of strength and stiffness adapted support structures by means of the numerical simulation method of topology-optimisation was investigated in this study to generate topology-optimised structural nodes. The resulting node is transferred into a robot path using CAD/CAM software and manufactured from the filler material G4Si1 using WAAM with the GMAW process. Based on the boundary conditions of the WAAM process, the path planning and thus the manufacturability of the topology-optimised supporting structure nodes is evaluated and verified using a sample structure made of the welding filler material G4Si1. Depending on the path planning, an improvement of the mechanical properties could be achieved, due to changes in t8/5 times.

Topics
  • impedance spectroscopy
  • simulation
  • strength
  • wire
  • additive manufacturing
  • collision-induced dissociation