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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Natal Jorge, Rmn
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Publications (9/9 displayed)
- 2018The analysis of composite laminated beams using a 2D interpolating meshless techniquecitations
- 2018Simulating fracture propagation in brittle materials using a meshless approachcitations
- 2017Aluminum foam sandwich with adhesive bonding: Computational modelingcitations
- 2016A study on the formability of aluminum tailor welded blanks produced by friction stir weldingcitations
- 2012Mechanical characterization and constitutive modelling of the damage process in rectus sheathcitations
- 2011Optimisation of tubular hydroforming processes for wrinkling and thinning control
- 2011On a New Optimization Approach for the Hydroforming of Defects-Free Tubular Metallic Parts
- 2011Mechanical characterization of the softening behavior of human vaginal tissuecitations
- 2009On modelling damage process in vaginal tissuecitations
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document
Optimisation of tubular hydroforming processes for wrinkling and thinning control
Abstract
This paper is focused on the development and implementation of an innovative optimisation algorithm for the wrinkling and thinning control during the hydroforming of complex metallic parts. A straightforward numerical algorithm for simultaneous tracking and evaluation of the initiation of wrinkling/thinning defects was implemented, together with a numerical simulation program based on the Finite Element Method (FEM). After undesirable wrinkling/thinning patterns are identified during FEM simulation, the developed optimisation procedure (called Hybrid Differential Evolution Particle Swarm Optimisation - HDEPSO) is responsible to automatically correct the process input parameters, in order to achieve the successful forming of the desired part. In the end, the combined procedure (optimisation methodology + FEM) proved to be able to lead to a suitable numerical simulation and design tool for industrial hydroformed metallic tubular parts.