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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
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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
Areal fatigue strength assessment of cast aluminium surface layers
Abstract
The fatigue strength of cast aluminium surface layers is significantly affected by casting imperfections. Experimental work reveals crack initiation due to three failure modes; microporosity, cast surface texture as well as a combination of both. A novel local sub-area evaluation of notch factors for surface texture characterisation utilises areal surface texture by pit depth values Svlocal, ranging within several hundred microns, and related notch root radii ρ‾ distributions. Additionally, the cast bulk strength is calculated by Murakami's approach. For all three failure cases, the presented holistic fatigue layer strength assessment methodology is well applicable for sand cast aluminium.