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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Aigner, Roman

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2020Areal fatigue strength assessment of cast aluminium surface layers19citations
  • 2019On the mean stress sensitivity of cast aluminium considering imperfections17citations
  • 2019Numerical Fatigue Analysis of Induction-Hardened and Mechanically Post-Treated Steel Components12citations
  • 2019Characterising the fatigue strength of aluminium castings by applied statistical evaluation of imperfectionscitations
  • 2019On the Statistical Size Effect of Cast Aluminium16citations
  • 2019Short and long crack growth of aluminium cast alloys1citations
  • 2018Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperature15citations
  • 2018Local fatigue strength assessment of induction hardened components based on numerical manufacturing process simulation7citations
  • 2018Lifetime assessment of cast aluminium components based on CT-evaluated microstructural defectscitations
  • 2018Fatigue strength characterization of Al-Si cast material incorporating statistical size effect15citations
  • 2018Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloys18citations
  • 2016Aufbau einer numerischen Simulationskette für induktionsgehärtete Randschichtencitations

Places of action

Chart of shared publication
Leitner, Martin
10 / 66 shared
Pomberger, Sebastian
3 / 8 shared
Stoschka, Michael
7 / 29 shared
Ehart, Robert
2 / 2 shared
Stoschka, M.
1 / 5 shared
Grün, Florian
2 / 41 shared
Pusterhofer, Stefan
1 / 2 shared
Garb, Christian
2 / 5 shared
Dobberke, D.
1 / 1 shared
Schneller, Wolfgang
1 / 3 shared
Thuswaldner, Jörg
1 / 1 shared
Wabro, Thomas
1 / 1 shared
Hannesschläger, Christian
1 / 1 shared
Chart of publication period
2020
2019
2018
2016

Co-Authors (by relevance)

  • Leitner, Martin
  • Pomberger, Sebastian
  • Stoschka, Michael
  • Ehart, Robert
  • Stoschka, M.
  • Grün, Florian
  • Pusterhofer, Stefan
  • Garb, Christian
  • Dobberke, D.
  • Schneller, Wolfgang
  • Thuswaldner, Jörg
  • Wabro, Thomas
  • Hannesschläger, Christian
OrganizationsLocationPeople

thesis

Characterising the fatigue strength of aluminium castings by applied statistical evaluation of imperfections

  • Aigner, Roman
Abstract

Since immanent defects are considered as the primary cause of component fatigue failure, in this research work the effects of defects on the fatigue behaviour of cast aluminium are investigated. Therefore, crankcases of an Al-Si-Cu alloy, grade EN-AC 46200, are evaluated in terms of metallographic, quasi-static, fracture mechanical and fatigue strength. The specimens are extracted from a priori defined sampling positions in order to diminish technological size effects due to varying microstructural properties. To force defect-based fatigue failure, the specimen geometries are numerically shape-optimized. Thus, an uniform stress distribution within the testing region is ensured, such that the most critical heterogeneity eventually leads to fatigue crack initiation, cyclic growth and subsequently to burst failure. Moreover, the length of the constant testing diameter is varied. Therefore, the distinctive difference in the highly-stressed volume between the specimen types enables the evaluation of a statistical size effect.Common defect-based fatigue strength models are enhanced, featuring their applicability in both the finite-life region and long-life region. Additionally, the effect of defects taking into account in-service temperatures is investigated. By non-destructive evaluation of immanent heterogeneities, the critical flaw size distribution of both the investigated component, as well as the mass-production correlated extreme value distribution, may be derived, subsequently acting as statistically distributed equivalent intrinsic crack size. Furthermore, extensive investigations of the load ratio dependent crack-closure effects are conducted in order to statistically evaluate the cyclic crack resistance curve. In addition, the stress-based mean stress sensitivity is expanded such that the raised fatigue assessment approach is valid for both imperfect and near-defect free cast material.By setting up a bivariate load distribution of critical defect sizes and local load stresses, in line with the statistically characterised crack threshold and fatigue strength, a statistical, fracture-mechanical-based fatigue assessment approach is introduced. Finally, a novel probabilistic fatigue assessment map is developed, in order to enable fatigue design towards utmost probabilities of survival, additionally taking the highly-stressed volume of a critical component into account. The developed approach is validated by means of experimental data, along with state-of-the-art models. The verification procedure reveals that the improved fatigue map matches the experimental data well, whereat commonly applied engineering approaches may even lead to non-conservative design of cast components.

Topics
  • impedance spectroscopy
  • aluminium
  • crack
  • strength
  • fatigue
  • casting