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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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Sousa, Lc
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Topics
Publications (5/5 displayed)
- 2005Eliminating forging defects using genetic algorithmscitations
- 2004Optimization of metal forming processescitations
- 2004Preform optimal design in metal forging using genetic algorithmscitations
- 2004Optimisation of shape and process parameters in metal forging using genetic algorithmscitations
- 2000A multilevel approach to optimization of bulk forming processes
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article
Optimization of metal forming processes
Abstract
Metal forging process design is formulated as an optimization problem. A thermal-mechanical finite element formulation, in conjunction with an elitist evolutionary search strategy is used to obtain optimal designs satisfying specific criteria. Geometric and process design variables of the tool and work-piece are considered in order to achieve the prescribed final forged product. An example demonstrating the efficiency of the developed method is presented considering a two-stage hot forging process. An inverse problem formulation is adopted in order to optimize the material design, minimize the process energy and simultaneously bounding the work-piece maximum temperature reached along the forging process.