Hybrid Modeling and Optimization of Manufacturing : Combining Artificial Intelligence and Finite Element Method
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies h...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 2012. |
| Collection: | SpringerBriefs in Computational Mechanics
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| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Hybrid Modeling and Optimization of Manufacturing, Texte imprimé, 9783642280849 • Hybrid Modeling and Optimization of Manufacturing, Texte imprimé, 9783642280863 • Hybrid Modeling and Optimization of Manufacturing, Texte imprimé, 9783642280849 |
Table des matières:
- Relevance and convenience of hybrid (AI and FEM) modeling and optimization of manufacturing processes Approaches for combining AI and FEM FEM/AI models AI/FEM models Other approaches Artificial intelligence tools AI tools for modeling Artificial neural networks Fuzzy logic and neuro-fuzzy system Bayesian probability AI tool for optimization Evolutionary algorithms Swarm intelligence Finite element method for manufacturing modeling Plasticity models Constitutive equations Finite element discretization Case of study Experimental study FEM-based modeling AI-based modeling Optimization Concluding remarks.