Optimization of metal forming processes for improving final mechanical strength
| Autor: | Chenot, Jean-Loup, Bouchard, Pierre-Olivier, Fourment, Lionel, Lasne, Patrice, Roux, Emile |
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| Přispěvatelé: | Centre de Mise en Forme des Matériaux (CEMEF), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Transvalor, Transvalor S. A., E. Oñate, D.R.J. Owen, D. Peric and B. Suárez Editors |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Optimization
Identification Finite element method Plasticity Plasticity -- Mathematical models Elements finits Mètode dels Mechanical properties Metal forming Metal forming Finite element Optimization Identification Mechanical properties Plasticitat -- Models matemàtics Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits [Àrees temàtiques de la UPC] [SPI.MAT]Engineering Sciences [physics]/Materials Finite element Plasticitat |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Proceedings XI International Conference on Computational Plasticity. Fundamentals and Applications-COMPLAS XI XI International Conference on Computational Plasticity. Fundamentals and Applications-COMPLAS XI XI International Conference on Computational Plasticity. Fundamentals and Applications-COMPLAS XI, Sep 2011, Barcelona, Spain. 14 p |
| Popis: | Available on: http://congress.cimne.com/complas2011/proceedings/; International audience; The fundamental mechanical assumptions and the basic principles of 3-dimensional FE discretization are briefly summarized. Several important numerical developments for efficient and accurate computation of large plastic deformation are discussed. Material behavior must be known precisely: material parameters of the constitutive law, thermal law and friction law must be determined by experimental tests and identification procedures by inverse modeling. Is it also necessary to avoid the possible onset of defects, such as crack opening, by introducing damage modeling in the cost function. A parameter sensitivity analysis is utilized in order to select the most important factors: shape of the preform, tools geometry, etc. The practical optimization is carried out by a genetic algorithm technique or by a surface response method. Moreover, for assessing the fatigue behavior, a more local approach is necessary in order to take into account material evolution at the micro scale. |
| Databáze: | OpenAIRE |
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