Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Heilmann, Stefan

  • Google
  • 4
  • 9
  • 33

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2022Electrode wear investigation of aluminium spot welding by motion overlay1citations
  • 2020Performing an Indirect Coupled Numerical Simulation for Capacitor Discharge Welding of Aluminium Components4citations
  • 2019Comparing the effect of electrode geometry on resistance spot welding of aluminum alloys between experimental results and numerical simulation14citations
  • 2018Improvement of the electrical conductivity between electrode and sheet in spot welding process by direct laser interference patterning14citations

Places of action

Chart of shared publication
Zschetzsche, Jörg
3 / 6 shared
Füssel, Uwe
4 / 22 shared
Koal, Johannes
2 / 4 shared
Baumgarten, Martin
2 / 7 shared
Jüttner, Sven
1 / 11 shared
Tuchtfeld, Markus
1 / 1 shared
Zwahr, Christoph
1 / 8 shared
Knape, Alexander
1 / 1 shared
Lasagni, Andrés-Fabián
1 / 64 shared
Chart of publication period
2022
2020
2019
2018

Co-Authors (by relevance)

  • Zschetzsche, Jörg
  • Füssel, Uwe
  • Koal, Johannes
  • Baumgarten, Martin
  • Jüttner, Sven
  • Tuchtfeld, Markus
  • Zwahr, Christoph
  • Knape, Alexander
  • Lasagni, Andrés-Fabián
OrganizationsLocationPeople

article

Performing an Indirect Coupled Numerical Simulation for Capacitor Discharge Welding of Aluminium Components

  • Zschetzsche, Jörg
  • Füssel, Uwe
  • Heilmann, Stefan
  • Koal, Johannes
  • Baumgarten, Martin
Abstract

<jats:p>Capacitor discharge welding (CDW) for projection welding provides very high current pulses in extremely short welding times. This requires a quick follow up behaviour of the electrodes during the softening of the projection. The possibilities of experimental process investigations are strongly limited because of the covered contact zone and short process times. The Finite Element Method (FEM) allows highly resoluted analyses in time and space and is therefore a suitable tool for process characterization and optimization. To utilize this mean of optimization, an indirect multiphysical numerical model has been developed in Ansys Mechanical APDL. This model couples the physical environments of thermal–electric with structural analysis. It can master the complexity of large deformations, short current rise times and high temperature gradients. A typical ring projection has been chosen as the joining task. The selected aluminium alloys are EN-AW-6082 (ring projection) and EN-AW-5083 (sheet metal). This paper presents the investigated material data, the model design and the methodology for an indirect coupling of the thermal–electric with the structural physic. The electrical contact resistance is adapted to the measured voltage in the experiment. The limits of the model in Ansys Mechanical APDL are due to large mesh deformation and decreasing element stiffness. Further modelling possibilities, which can handle the limits, are described.</jats:p>

Topics
  • impedance spectroscopy
  • experiment
  • simulation
  • aluminium
  • aluminium alloy
  • joining