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Modelling of multiple impacts for the prediction of distortions and residual stresses induced by ultrasonic shot peening (USP)

Article dans une revue avec comité de lecture
Author
CHAISE, Thibaut
31214 Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] [LaMCoS]
LI, Jun
31214 Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] [LaMCoS]
NELIAS, Daniel
31214 Laboratoire de Mécanique des Contacts et des Structures [Villeurbanne] [LaMCoS]
TAHERI, Said
DOUCHET, Gérard
199972 Laboratoire de Mécanique des Structures Industrielles Durables [LAMSID - UMR 8193]
ROBIN, Vincent
GILLES, Philippe
ccKUBLER, Regis
193010 Mécanique des Surfaces (EA4496) [MECASURF]
211915 Mechanics surfaces and materials processing [MSMP]

URI
http://hdl.handle.net/10985/9198
DOI
10.1016/j.jmatprotec.2012.05.005
Date
2012
Journal
Journal of Materials Processing Technology

Abstract

During a manufacturing process, the ultrasonic shot peening (USP) technique can be used as the final surface treatment. The aim of this operation is to introduce surface compressive residual stresses in order to prevent crack propagation advancement. Although the numerical simulation method is able to predict the level of residual stresses in a peened part, the 3D modelling of the real USP process, in which many successive and shifted impacts take place, is very delicate to perform and costly in terms of computing time and memory space required. In this paper, a two step method based at first on the calculation of the averaged plastic strain tensor in a half-space by using a semi-analytical method and in a second time on the transfer of this plastic strain field to a finite element model is proposed in order to simulate the effects of the USP process in thin structures. The accuracy and advantages of the semi-analytical method are validated by a benchmark with several finite element codes. Experiments, similar to the Almen test, are performed on thin plates of Inconel 600. Numerical results in terms of distortions and residual stresses are compared with the experimental data.

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