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

Wiebesiek, Jens

  • Google
  • 2
  • 4
  • 5

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Layer Approach to Model Fatigue Strength of Surface-Hardened Componentscitations
  • 2018Surface topography effects on the fatigue strength of cast aluminum alloy AlSi8Cu35citations

Places of action

Chart of shared publication
Dobberke, Dénes
1 / 1 shared
Leitner, Martin
2 / 66 shared
Fröschl, Jürgen
2 / 2 shared
Stoschka, Michael
1 / 29 shared
Chart of publication period
2024
2018

Co-Authors (by relevance)

  • Dobberke, Dénes
  • Leitner, Martin
  • Fröschl, Jürgen
  • Stoschka, Michael
OrganizationsLocationPeople

article

Surface topography effects on the fatigue strength of cast aluminum alloy AlSi8Cu3

  • Leitner, Martin
  • Wiebesiek, Jens
  • Stoschka, Michael
  • Fröschl, Jürgen
Abstract

This article investigates the effect of the cast surface topography on the fatigue strength of the cast aluminum alloy AlSi8Cu3, which is equivalent to EN AC-46200 and A380 according to ASTM. Fatigue tests utilizing small-scale specimens under bending at a load stress ratio of R = 0 reveal a significant influence of the cast surface layer, leading to a reduction of the nominal fatigue strength at ten million load cycles by about one half. Fracture surface analysis highlights that crack initiation occurs because of both surface roughness and micropores within the cast surface layer. A numerical simulation procedure to assess the influence of the surface roughness on the fatigue strength is presented. Thereby, a three-dimensional mesh of an optically scanned surface topography is set up and a local fatigue strength reduction factor is numerically computed based on the critical distance approach by Taylor. The results reveal that the presented method slightly overestimates the fatigue strength compared to the experiments; however, the determined values lead to a sound accordance if the scatter of the fatigue test data points is considered.

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • simulation
  • aluminium
  • crack
  • strength
  • fatigue