Abstract
The paper presents an approach for modelling of the size effect in the high-cycle fatigue for an additively manufactured stainless steel. The analyses verify the probability of a critical defect, significantly speeding up fatigue crack initiation. An assessment of the fracture surface failure mechanism shows the presence of a void due to lack of fusion. The selected defect parameters significantly decrease the fatigue strength with increasing specimen length. The implemented linear model of the normalized Crossland stress provides a good fit to the experimental data. The probabilistic approach to the scatter of the selected variables shows the correct prediction of fatigue properties.
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