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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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Bonte, M. H. A.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2008An optimisation strategy for industrial metal forming processescitations
- 2007Modelling, screening, and solving of optimisation problems: Application to industrial metal forming processes
- 2007A Robust Optimisation Strategy for Metal Forming Processescitations
- 2007Deterministic and robust optimisation strategies for metal forming proceesses
- 2007A metamodel based optimisation algorithm for metal forming processescitations
- 2006A comparison between optimisation algorithms for metal forming processes
- 2006Optimising towards robust metal forming processes
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document
Optimising towards robust metal forming processes
Abstract
Product improvement and cost saving have always been important goals in the metal forming industry. Numerical optimisation can help to achieve these goals, but optimisation with a deterministic approach will often lead to critical process settings, such that the slightest variation in e.g. material behaviour will result in violation of constraints. To avoid a high scrap ratio, process robustness must be considered in the optimisation model. Optimising for robustness includes Robust Manufacturing (RM) techniques, Optimisation Under Uncertainty (OUU) methods and Finite Element (FEM) simulations of the processes. In this paper, we review RM and OUU. Subsequently, the combination of Statistical Process Control (SPC), robust and reliability based optimisation methods, and FEM-based process simulation implemented in AutoForm-Sigma is presented. An automotive deep drawing application demonstrates the potential of strategies that optimise towards robust metal forming processes.