Prediction of residual stress fields after shot-peening of TRIP780 steel with second-order and artificial neural network models based on multi-impact finite element simulations
Article dans une revue avec comité de lecture
Shot-peening is a mechanical surface treatment widely employed to enhance the fatigue life of metallic components by generating compressive residual stress fields below the surface. These fields are mainly impacted by the selection of the process parameters. The aim of this work is to propose a hybrid approach to conduct two predictive models: second-order model and feed-forward artificial neural network model. For this purpose, a 3D multiple-impact finite element model coupled to a central composite design of experiments was employed. A parametric analysis was also conducted to investigate the effect of the shot diameter, the shot velocity, the coverage, and the impact angle on the induced residual stress profile within a TRIP780 steel. It was found that both models predict with good agreement, the residual stress profile as a function of the process parameters and can be used in shot-peening optimization due to their responsiveness.
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Conférence invitéeGUIHEUX, Romain; BERVEILLER, Sophie; KUBLER, Régis; BOUSCAUD, Denis; PATOOR, Etienne; PUYDT, Quentin; OSMOND, Pierre; WEBER, Bastien (2017)The microstructure and mechanical fields were studied on a cold-rolled TRIP 780 steel after conventional shot peening, and with or without pre-strain; for the first time, results were compared to numerical simulations at ...
Communication avec acteGUIHEUX, Romain; BERVEILLER, Sophie; KUBLER, Régis; BOUSCAUD, Denis; PATOOR, Etienne; PUYDT, Quentin; OSMOND, Pierre; WEBER, Bastien (ShotPeener ICSP13, 2017)In the last years, due to increasing ecology and environmental constraints, a search for lightweight structures has been carried out, leading to the use of more complex geometries and new materials. In that context, TRIP ...
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