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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 106
PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by:
Paper 131
Reliability Analysis of a Tube Hydroforming Process using Metamodels B. Radi1 and A. El Hami2
1LIMMII, FST Settat, Settat, Morocco
B. Radi, A. El Hami, "Reliability Analysis of a Tube Hydroforming Process using Metamodels", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 131, 2014. doi:10.4203/ccp.106.131
Keywords: Hydroforming process, metamodels, random, forming limit curve (FLC), failure mode, finite element..
Summary
In this paper, an original method is presented for evaluating the probability of failure
in a precise manner in the 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 load paths can lead to
failure. Our approach is to determine the space failure probability for each item in the
area is critical. It is defined by identifying the critical element, and then a patch is
defined on this item that represents the area of the most probable failure. The identification
of the critical element for each failure mode is done by reference the state of
strain on the forming limit curve (FLC) of the material. Access to the probability of
space failure allows to give an idea on the stability of the process and also to predict
the most likely area where plastic instability can appear. The failure probability estimation
based on a characterization probabilistic principal strains (major and minor)
for each failure mode and for each element. Access to this probability of failure in a
direct manner is impossible given the complexity of the treated problem and the huge
number of calculations by finite elements necessary. To compensate this problem, approximation
techniques have been used to replace the real model by metamodel that
enables to evaluate the response quickly and allows us to get an idea on the stability
of the process.
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