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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Aigner, Roman
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2020Areal fatigue strength assessment of cast aluminium surface layerscitations
- 2019On the mean stress sensitivity of cast aluminium considering imperfectionscitations
- 2019Numerical Fatigue Analysis of Induction-Hardened and Mechanically Post-Treated Steel Componentscitations
- 2019Characterising the fatigue strength of aluminium castings by applied statistical evaluation of imperfections
- 2019On the Statistical Size Effect of Cast Aluminiumcitations
- 2019Short and long crack growth of aluminium cast alloyscitations
- 2018Application of a area -Approach for Fatigue Assessment of Cast Aluminum Alloys at Elevated Temperaturecitations
- 2018Local fatigue strength assessment of induction hardened components based on numerical manufacturing process simulationcitations
- 2018Lifetime assessment of cast aluminium components based on CT-evaluated microstructural defects
- 2018Fatigue strength characterization of Al-Si cast material incorporating statistical size effectcitations
- 2018Modification of a Defect-Based Fatigue Assessment Model for Al-Si-Cu Cast Alloyscitations
- 2016Aufbau einer numerischen Simulationskette für induktionsgehärtete Randschichten
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article
On the Statistical Size Effect of Cast Aluminium
Abstract
Manufacturing process based imperfections can reduce the theoretical fatigue strength since they can be considered as pre-existent microcracks. The statistical distribution of fatigue fracture initiating defect sizes also varies with the highly-stressed volume, since the probability of a larger highly-stressed volume to inherit a potentially critical defect is elevated. This fact is widely known by the scientific community as the statistical size effect. The assessment of this effect within this paper is based on the statistical distribution of defect sizes in a reference volume V 0 compared to an arbitrary enlarged volume Vα. By implementation of the crack resistance curve in the Kitagawa-Takahashi diagram, a fatigue assessment model, based on the volume-dependent probability of occurrence of inhomogeneities, is set up, leading to a multidimensional fatigue assessment map. It is shown that state-of-the-art methodologies for the evaluation of the statistical size effect can lead to noticeable over-sizing in fatigue design of approximately 10%. On the other hand, the presented approach, which links the statistically based distribution of defect sizes in an arbitrary highly-stressed volume to a crack-resistant dependent Kitagawa-Takahashi diagram leads to a more accurate fatigue design with a maximal conservative deviation of 5% to the experimental validation data. Therefore, the introduced fatigue assessment map improves fatigue design considering the statistical size effect of lightweight aluminium cast alloys.