A predictive approach to investigate the effect of ultrasonic shot peening on a high-cycle fatigue performance of an AISI 316L target

This paper presents a predictive numerical-analytical approach to evaluate the effect of an ultrasonic shot peening process on the fatigue strength of metallic parts using the multi-axial fatigue criterion of Dang Van. This approach is constituted by four principal steps: (i) developing a 3D finite element model of ultrasonic shot peening treatment, (ii) predicting surface conditions induced by the ultrasonic shot peening model (residual stress profile, superficial damage, and equivalent plastic strain), (iii) evaluating the change of the surface conditions after relaxation, and (iv) assessing the fatigue performance of ultrasonic peened parts based on the high-cycle fatigue indicator ISP%. An application of the proposed approach is carried out on the AISI 316L material. The obtained results are physically coherent and are in good harmony with the previous experimental investigations.