Optimization of Tube Hydroforming Process Using Probabilistic Constraints on Failure Modes

TitreOptimization of Tube Hydroforming Process Using Probabilistic Constraints on Failure Modes
Type de publicationArticle de revue
AuteurBen Abdessalem, Mohamed-Anis , El Hami, Abdelkhalak
PaysSuisse
EditeurTrans Tech Publications
TypeArticle scientifique dans une revue à comité de lecture
Année2011
LangueAnglais
DateJuin 2011
Pagination21-35
Volume62
Titre de la revueApplied Mechanics and Materials
ISSN1660-9336
Mots-clésFLD, FLSD, Hydroforming Process, optimization, Reliability Analysis, Uncertainty
Résumé en anglais

In metal forming processes, different parameters (Material constants, geometric dimensions, loads …) exhibits unavoidable scatter that lead the process unreliable and unstable. In this paper, we interest particularly in tube hydroforming process (THP). This process consists to apply an inner pressure combined to an axial displacement to manufacture the part. During the manufacturing phase, inappropriate choice of the loading paths can lead to failure. Deterministic approaches are unable to optimize the process with taking into account to the uncertainty. In this work, we introduce the Reliability-Based Design Optimization (RBDO) to optimize the process under probabilistic considerations to ensure a high reliability level and stability during the manufacturing phase and avoid the occurrence of such plastic instability. Taking account of the uncertainty offer to the process a high stability associated with a low probability of failure. The definition of the objective function and the probabilistic constraints takes advantages from the Forming Limit Diagram (FLD) and the Forming Limit Stress Diagram (FLSD) used as a failure criterion to detect the occurrence of wrinkling, severe thinning, and necking. A THP is then introduced as an example to illustrate the proposed approach. The results show the robustness and efficiency of RBDO to improve thickness distribution and minimize the risk of potential failure modes.

URL de la noticehttp://okina.univ-angers.fr/publications/ua16937
DOI10.4028/www.scientific.net/AMM.62.21
Lien vers le document

https://www.scientific.net/AMM.62.21