This paper describes a data-driven methodology to derive reliable S-N curves for PM components that take the hardness, the highly stressed volume, the stress ratio and the density into account. The methodology aims for a fatigue assessment approach applicable for all PM steels. For this, a large database with approximately 800 S-N curves, 20.000 S-N experiments and a broad spectrum of different geometries, materials, loading conditions, sinter conditions etc. is set up. The methodology is based mainly of known analytical functions, such as the Bal'shin equation and the Haigh diagram. The parameters for the fatigue assessment are obtained by optimization of the used analytical functions. As a result, the model leads to a highly reliable fatigue assessment of PM components.
Reissner et al. (Sat,) studied this question.