Numerical Simulation of Shot Peening Process for AISI 4340 Steel Using Random Balls Method

A novel approach for simulating the process is proposed in this work, which studies the influences of shot peening parameters such as peening angle, the size of balls on the surface roughness, and residual compressive stress material. An attempt has been made to address this issue by indicating a finite element model with randomly distributed balls developed with ABAQUS python program. A Johnson–Cook material model coupling the random ball theory is implemented into the FEM model to characterize the dynamic process of shot peening and surface modification properties of materials. In the proposed approach, the shot peeing parameters including the shot size, incidence angle, and velocity are estimated by parametric modeling to determine peening coverage precisely; furthermore, the effects of shot peening parameters on the residual compressive stress (RCS) and roughness are investigated. The shot peening simulations for AISI 4340 steel are carried out to validate the random balls model. The results show that the RCS distribution and surface roughness obtained by using the proposed method are in agreement with the experimental results in references.