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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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Antonio, Cac
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2017Multiobjective optimization of mechanical properties based on the composition of adhesivescitations
- 2016Optimal design of adhesive composition in footwear industry based on creep rate minimizationcitations
- 2015Surface treatment effect in thermoplastic rubber and natural leather for the footwear industrycitations
- 2015Effect of the surface treatment in polyurethane and natural leather for the footwear industrycitations
- 2012A variability study on the response of composite structures based on sensitivity indices
- 2006A hierarchical genetic algorithm with age structure for multimodal optimal design of hybrid compositescitations
- 2004Preform optimal design in metal forging using genetic algorithmscitations
- 2004Optimisation of shape and process parameters in metal forging using genetic algorithmscitations
- 2002Optimal cutting conditions in turning of particulate metal matrix composites based on experiment and a genetic search modelcitations
- 2002A multilevel genetic algorithm for optimization of geometrically nonlinear stiffened composite structurescitations
- 2001Optimal drilling of particulate metal matrix composites based on experimental and numerical procedurescitations
- 2001Optimisation of cutting conditions in machining of aluminium matrix composites using a numerical and experimental modelcitations
- 2000A multilevel approach to optimization of bulk forming processes
- 2000An approach to reliability based design of composite structures under dynamic response
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article
Optimisation of shape and process parameters in metal forging using genetic algorithms
Abstract
An approach to optimal design in forging is presented in this paper. The design problem is formulated as an inverse problem incorporating a finite element thermal analysis model and an optimisation technique conducted on the basis of an evolutionary strategy. A rigid viscoplastic flow-type formulation was adopted, valid for both hot and cold processes. In industrial forming processes most of the deformation energy is transformed into thermal energy. The generated heat causes the increase in temperature. External friction losses raise the temperature at the die-work-piece interface. Optimal solutions are obtained using a developed numerical algorithm based on a genetic search supported by an elitist strategy. The chosen design variables are work-piece preform shape and work-piece temperature. In order to demonstrate the efficiency of the inverse evolutionary search, specific forging cases are presented, considering the optimisation of the process parameters aiming the reduction of the difference between the realised and the prescribed final forged shape under minimal energy consumption and restricting the maximum temperature.