A numerical-analytical approach to predict high cycle fatigue performance of finish machined AISI 316L steel

This paper presents a new approach to predict the effects of machining-induced surface integrity on the high cycle fatigue (HCF) behavior of the AISI 316L material. An exhaustive numerical-analytical method is developed based on three main steps: (i) development of a 3D finite element model (FEM) of a finished longitudinal turning operation based on the hybrid modeling of cutting; (ii) prediction of the surface conditions affecting the fatigue strength: the residual stresses, the Von Mises equivalent plastic strains, and the superficial damage; and (iii) prediction of the HCF performance by considering the computed surface conditions. The obtained results are in good accordance with the available experimental investigations and are physically consistent. This proposed approach can be used to predict the effects of the other cutting parameters on the fatigue resistance.