Abstract
This work provides a comprehensive review of numerical simulation and optimisation of the shot peening found in the existing literature over the past 10 years. The review found that the developed numerical models coupling finite elements with discrete elements became increasingly mature and showed their advantages in incorporating flow behaviour and randomness of shots. High emphasis must be placed on the constitutive equations of target material where its strain-rate sensitivity, cyclic behaviour and Bauschinger effects are recommended to be incorporated in the numerical material model simultaneously since considering one of them in isolation may lead to unreliable distribution of residual stresses. Furthermore, material hardening is a critical benefit of shot peening; however, it has not received its deserved attention from the existing investigations, neither in simulation nor in optimisation. The study found that intensity and coverage are two critical control parameters recommended to be constraints for optimisation of shot peening. Finally, this work also found that developed heuristic algorithms, such as genetic algorithms have recently showed their advantages for searching optimal combinations of peening parameters. It is plausible that in the near future, the synergy of combining these algorithms with approximation models can be expected to gain more attention by researchers.
Highlights
Shot peening (SP), as a surface treatment process, is frequently used to enhance the fatigue life of metallic components[1,2] in the manufacturing industry, since it produces compressive residual stresses (CRSs) on the peened surface to delay initiation of fatigue failure and retard its propagation.[3]
This article comprehensively reviewed the definition, influential parameters, responses and different aspects of numerical simulation and optimisation of SP found in the existing literature in recent years
Regarding the simulation of SP, 3D models are currently the mainstream since they are capable of considering coverage and predicting the distribution of residual stresses more precisely
Summary
Shot peening (SP), as a surface treatment process, is frequently used to enhance the fatigue life of metallic components[1,2] in the manufacturing industry, since it produces compressive residual stresses (CRSs) on the peened surface to delay initiation of fatigue failure and retard its propagation.[3]. This type of model has become increasingly mature in terms of simulation of SP since 2010, especially from 2015 till where discrete elements are employed in the generation of large number of shots[30,31] and the description of their flow behaviour.[30,31] These shots are assumed rigid and their substitution of finite element shots can definitely reduce computational cost under the same hardware conditions[19,29] which is extremely beneficial for optimisation of SP28 where thousands of iterations are required with each iteration engaging the numerical model once With this advantage at hand, it has become possible for considering both shot–shot and shot–target interactions even if there are more than 4000 shots.[27] One interesting representative work considered the interaction between shots themselves, shot–target interaction and the usage of different shot sizes employing a large number of shots as shown in Figure 3.27 a subsequent contrary investigation reported that the consideration of shot–shot interactions in a DEM model may still. It should be noted that isotropic models are generally appropriate where the
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