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

Backer, Jeroen De

  • Google
  • 3
  • 19
  • 10

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021A scalable cost modelling architecture for evaluating the production cost-effectiveness of novel joining techniques for aircraft structures3citations
  • 2021Improving the Quality of Friction Stir Welds in Aluminium Alloys7citations
  • 2016Robotic Seam Tracking for Friction Stir Welding under Large Contact Forcescitations

Places of action

Chart of shared publication
Mcclelland, John
1 / 8 shared
Higgins, Peter
1 / 2 shared
Higgins, Colm
1 / 6 shared
Tierney, Christopher
1 / 2 shared
Quinn, Damian
1 / 7 shared
Murphy, Adrian
1 / 52 shared
Ortnas, Anna
1 / 1 shared
Persson, Johan
1 / 5 shared
Allen, Chris
1 / 1 shared
Purandare, Yashodhan
1 / 20 shared
Sugumaran, Arunprabhu Arunachalam
1 / 2 shared
Hovsepian, Papken
1 / 29 shared
Hatto, Peter
1 / 4 shared
Ehiasarian, Arutiun
1 / 25 shared
Carlson, Fredrik Bagge
1 / 1 shared
Holmstrand, Martin
1 / 2 shared
Johansson, Rolf
1 / 2 shared
Robertsson, Anders
1 / 4 shared
Karlsson, Martin
1 / 3 shared
Chart of publication period
2021
2016

Co-Authors (by relevance)

  • Mcclelland, John
  • Higgins, Peter
  • Higgins, Colm
  • Tierney, Christopher
  • Quinn, Damian
  • Murphy, Adrian
  • Ortnas, Anna
  • Persson, Johan
  • Allen, Chris
  • Purandare, Yashodhan
  • Sugumaran, Arunprabhu Arunachalam
  • Hovsepian, Papken
  • Hatto, Peter
  • Ehiasarian, Arutiun
  • Carlson, Fredrik Bagge
  • Holmstrand, Martin
  • Johansson, Rolf
  • Robertsson, Anders
  • Karlsson, Martin
OrganizationsLocationPeople

document

Robotic Seam Tracking for Friction Stir Welding under Large Contact Forces

  • Carlson, Fredrik Bagge
  • Holmstrand, Martin
  • Johansson, Rolf
  • Robertsson, Anders
  • Karlsson, Martin
  • Backer, Jeroen De
Abstract

Friction stir welding (FSW) is a solid-state welding process where metals are joined without melting. Heat is generated by friction between a rotating non-consumable tool and the work-piece material, and by mechanical deformation of the material. The process, invented in 1991, provides several benefits over arc welding and other fusion processes: No filler material has to be added, low energy consumption, low distortion and excellent mechanical properties, similar to those of the parent material. The FSW process has hitherto been performed mostly by stiff machines of gantry-type. In this work, however, the use of a 6 DOF robot arm for FSW was explored. This allows for processing of a wider range of seam shapes. However, the compliance of the robot introduces challenges in terms of positioning of the tool subject to large external forces. In the FSW process, large contact forces are necessary to produce frictional heat, to move the tool along the seam, and to counteract the torque induced by the rotating tool. In this context, it is not enough to rely on the robot's internal sensors for positioning, and therefore, an external laser sensor was attached adjacent to the tool in order to detect and measure the position of the seam.<br/>The measurements propagated through a PI-controller, yielding changes of the reference positions for the robot. The approach was verified experimentally at TWI Technology Centre Yorkshire, UK, through FSW of thin section aluminium alloys with an ABB IRB 7600 robot.

Topics
  • impedance spectroscopy
  • aluminium
  • aluminium alloy