Study of hydroformed tailor-welded tubular parts with dissimilar thickness

Jorge, R.M. Natal; Roque, A. P.; Valente, R. A. F.; Parente, Marco; Fernandes, A. A.

doi:10.1016/j.jmatprotec.2006.12.002

Cited by 16 publications

(1 citation statement)

References 17 publications

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“…The access to the probability of space failure makes it possible to give an idea on the stability of the process and also to predict the most probable zone effectively where the plastic instability can appear. For further details about the hydroforming process, the reader should refer to Chu and Li, 10 Li et al, 11 Liu et al, 12 Natal Jorge et al, 13,14 Valente et al 15 and Aue-u-lan et al 16,17…”

Section: Introductionmentioning

confidence: 99%

Reliability-based design optimization analysis of tube hydroforming process

Hami

Radi²,

Cherouat

2012

SIMULATION

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In this paper, we are interested particularly in the tube hydroforming process (THP). This process consists of applying an inner pressure combined with an axial displacement to manufacture the part. During the manufacturing phase, inappropriate choice of the load paths can lead to failure. Deterministic approaches are unable to optimize the process by taking into account the uncertainty. So we introduce the reliability-based design optimization (RBDO) to optimize the process under probabilistic constraints to ensure a high reliability level and stability during the manufacturing phase and avoid the occurrence of such plastic instability. Taking some uncertainties into account the process is very stable and associated with a low failure probability. The definition of the objective function and the probabilistic constraints take advantage of 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. To validate the proposed approach, the THP is then introduced as an example. The numerical results show the robustness and efficiency of the RBDO to improve thickness distribution and minimize the risk of potential failure modes.

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