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Communication dans un congrès

Mono and multi-objective optimization techniques applied to a large range of industrial test cases using metamodel assisted evolutionary algorithms

Abstract : The use of material processing numerical simulation allows a strategy of trial and error to improve virtual processes without incurring material costs or interrupting production and therefore save a lot of money, but it requires user time to analyze the results, adjust the operating conditions and restart the simulation. Automatic optimization is the perfect complement to simulation. Evolutionary Algorithm coupled with metamodelling makes it possible to obtain industrially relevant results on a very large range of applications within a few tens of simulations and without any specific automatic optimization technique knowledge. Ten industrial partners have been selected to cover the different area of the mechanical forging industry and provide different examples of the forming simulation tools. It aims to demonstrate that it is possible to obtain industrially relevant results on a very large range of applications within a few tens of simulations and without any specific automatic optimization technique knowledge. The large computational time is handled by a metamodel approach. It allows interpolating the objective function on the entire parameter space by only knowing the exact function values at a reduced number of "master points". Two algorithms are used: an evolution strategy combined with a Kriging metamodel and a genetic algorithm combined with a Meshless Finite Difference Method. The later approach is extended to multi-objective optimization. The set of solutions, which corresponds to the best possible compromises between the different objectives, is then computed in the same way. The population based approach allows using the parallel capabilities of the utilized computer with a high efficiency. An optimization module, fully embedded within the Forge2009 IHM, makes possible to cover all the defined examples, and the use of new multi-core hardware to compute several simulations at the same time reduces the needed time dramatically. The presented examples demonstrate the method versatility. They include billet shape optimization of a common rail, the cogging of a bar and a wire drawing problem.
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Communication dans un congrès
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00524182
Contributeur : Magalie Prudon <>
Soumis le : jeudi 7 octobre 2010 - 10:42:49
Dernière modification le : jeudi 17 septembre 2020 - 12:28:40

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Lionel Fourment, Richard Ducloux, Stéphane Marie, Mohsen Ejday, Dominique Monnereau, et al.. Mono and multi-objective optimization techniques applied to a large range of industrial test cases using metamodel assisted evolutionary algorithms. NUMIFORM 2010: Proceedings of the 10th International Conference on Numerical Methods in Industrial Forming Processes Dedicated to Professor O. C. Zienkiewicz (1921–2009), Jun 2010, Pohang, North Korea. pp.Pages 833-840, ⟨10.1063/1.3457642⟩. ⟨hal-00524182⟩

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