Experimental investigation of the size effect in high cycle fatigue: Role of the defect population in cast aluminium alloys
TypeArticles dans des revues avec comité de lecture
Cast Al-Si alloys have been widely used in automotive applications with regard to their low density and excellent thermal conductivity. Many components made of these alloys are subjected to cyclic loads which can lead to fatigue failure. Furthermore, for these materials the well know size effect in fatigue, whereby the fatigue strength is reduced when the size is increased, can be significant and need to be properly evaluated. This paper analyses the role of casting defects on the fatigue strength’s size effect sensitivity. A uniaxial fatigue testing campaign (R=0.1) has been conducted using two cast aluminium alloys, fabricated by different casting processes (gravity die casting and lost foam casting), associated with the T7 heat treatment, and with different degrees of porosity. The fatigue response of different specimens (smooth and notched) with different stressed volumes has been investigated. The first part of this article is dedicated to the experimental characterization of the size effect in both alloys via the concept of the Highly Stressed Volume. The second part investigates the effect of the Highly Stressed Volume on the critical defect size via Kitagawa-Takahashi diagrams. The results show that the magnitude of the size effect and the experimental scatter are strongly linked to the characteristics of the defect population present in the alloy. It is revealed that the alloy B, with a high density of pore and a population of defects with relatively large size, shows non-significant size effect and less scatter in fatigue strength. In comparison, alloy A that exhibits a low density of pore and a population of defects of relatively small size manifests significant size effect and high scatter in fatigue strength.
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Simulation of the Kitagawa-Takahashi diagram using a probabilistic approach for cast Al-Si alloys under different multiaxial loads LE, Viet Duc; MOREL, Franck; BELLETT, Daniel; SAINTIER, Nicolas; OSMOND, Pierre (Elsevier, 2016)This article describes a microstructural-based high cycle fatigue strength modelling approach applied to different cast Al-Si alloys used in an automotive context. Thank to different casting processes (gravity die casting ...
Multiaxial high cycle fatigue damage mechanisms associated with the different microstructural heterogeneities of cast aluminium alloys LE, Viet Duc; MOREL, Franck; SAINTIER, Nicolas; BELLETT, Daniel; OSMOND, Pierre (Elsevier, 2016)This article is dedicated to the high cycle fatigue (HCF) behaviour of cast Al-Si alloys. In particular, three similar alloys with different microstructural characteristics are investigated. The result of an experimental ...
A flexible modelling framework leading to a pobabilistic multiaxial Kitagawa-Takahashi diagram : applied to cast Al-Si alloys LE, Viet Duc; BELLETT, Daniel; MOREL, Franck; SAINTIER, Nicolas; PALIN-LUC, Thierry; PESSARD, Etienne; OSMOND, Pierre (MATEC Web of Conferences, 2014)The aim of this work is to propose simple analytical tools to predict the fatigue strength of cast aluminium components as a function of the casting process and post-cast treatment. The proposed methodology is based on the ...
LE, Viet Duc; MOREL, Franck; BELLETT, Daniel; PESSARD, Etienne; SAINTIER, Nicolas; OSMOND, Pierre (Elsevier, 2015)This paper describes a microstructural-based high cycle fatigue behaviour model applied to cast Al-Si alloys used in an automobile context. These materials are characterized by the presence of different microstructural ...
Investigation of the effect of porosity on the high cycle fatigue behaviour of cast Al-Si alloy by X-ray micro-tomography LE, Viet Duc; SAINTIER, Nicolas; MOREL, Franck; BELLETT, Daniel; OSMOND, Pierre (Elsevier BV, 2018)Porosity generated by the casting process has a detrimental effect on the high cycle fatigue strength of cast aluminium alloys. The current study presents an investigation using the non-destructive X-ray micro-tomography ...