Predictive model to design for high cycle fatigue of stainless steels produced by metal additive manufacturing

This work develops a predictive model of S-N curves capable of proving the lower and upper bounds for fatigue behaviour of parts fabricated using different metal laser-based additive manufacturing (AM) and post-processing technologies. Alongside the ultimate strength of the material and its endurance limit, a surface factor and a defect factor are incorporated in the model to consider the effects of the AM process induced defects on the S-N curves. The model is correlated to comprehensive load-controlled fatigue experimental data from the literature for 316L stainless steel (SS) samples manufactured using metal laser-based AM technologies of various process and postprocess conditions. It was demonstrated that the proposed model can capture and represent the effects of the induced defects as well as the mean stress effect. The value of the proposed model is that it can be integrated into existing industrial design workflows for fatigue assessment of AM 316L SS. Furthermore, it has the potential to be extended to other AM materials.

Automated summary

This work develops a predictive model for S-N curves that considers the effects of different metal laser-based additive manufacturing and post-processing technologies on fatigue behavior. The proposed model has been demonstrated to accurately capture the effects of induced defects and mean stress. It is valuable for fatigue assessment of AM 316L stainless steel and has the potential to be extended to other AM materials.