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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Quiza, Ramón (Autor), López-Armas, Omar (Autor), Davim, J. Paulo (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:SpringerBriefs in Computational Mechanics,
Temas:
Manufactures.
Mechanics, Applied.
Solids.
Computational intelligence.
Machines, Tools, Processes.
Solid Mechanics.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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