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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
Places of action
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article
Optimisation of cutting conditions in machining of aluminium matrix composites using a numerical and experimental model
Abstract
In this paper, a methodology aiming at the selection of the optimised values for cutting conditions in machining processes, as turning and drilling aluminium matrix composites is proposed. An hybrid technique based on an evolutionary search over a design space obtained by experimental way is considered. The machining forces, the surface finish and the tool wear are experimentally measured considering the feed and the cutting velocity as predefined parameters. Using genetic algorithms for the optimal search of cutting conditions, the chromosomes represent cutting conditions defined according to a temporal scale and are composed by random keys. The merit functions are established based on multicriteria and evaluated using the experimental values obtained for the machining forces, the surface finish and the tool wear. The evolution of the solutions is based on an elitist strategy.