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 (4/4 displayed)

  • 2023Effect of Surface Finishing State on Fatigue Strength of Cast Aluminium and Steel Alloys2citations
  • 2023Study of Local Fatigue Methods (TCD, N-SIF, and ESED) on Notches and Defects Related to Numerical Efficiency3citations
  • 2022Fatigue strength study based on geometric shape of bulk defects in cast steel11citations
  • 2022A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach5citations

Places of action

Chart of shared publication
Horvath, Michael
3 / 6 shared
Stoschka, Michael
4 / 29 shared
Oberreiter, Matthias
3 / 8 shared
Leitner, Martin
1 / 66 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Horvath, Michael
  • Stoschka, Michael
  • Oberreiter, Matthias
  • Leitner, Martin
OrganizationsLocationPeople

article

A Probabilistic Fatigue Strength Assessment in AlSi-Cast Material by a Layer-Based Approach

  • Fladischer, Stefan
  • Leitner, Martin
  • Stoschka, Michael
  • Oberreiter, Matthias
Abstract

<p>An advanced lightweight design in cast aluminium alloys features complexly shaped geometries with strongly varying local casting process conditions. This affects the local microstructure in terms of porosity grade and secondary dendrite arm spacing distribution. Moreover, complex service loads imply changing local load stress vectors within these components, evoking a wide range of highly stressed volumes within different microstructural properties per load sequence. To superimpose the effects of bulk and surface fatigue strength in relation to the operating load sequence for the aluminium alloy EN AC 46200, a layer-based fatigue assessment concept is applied in this paper considering a non-homogeneous distribution of defects within the investigated samples. The bulk fatigue property is now obtained by a probabilistic evaluation of computed tomography results per investigated layer. Moreover, the effect of clustering defects of computed tomography is studied according to recommendations from the literature, leading to a significant impact in sponge-like porosity layers. The highly stressed volume fatigue model is applied to computed tomography results. The validation procedure leads to a scattering of mean fatigue life from −2.6% to 12.9% for the investigated layers, inheriting strongly varying local casting process conditions.</p>

Topics
  • impedance spectroscopy
  • surface
  • tomography
  • aluminium
  • strength
  • fatigue
  • aluminium alloy
  • defect
  • casting
  • porosity
  • clustering