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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Bibliografiset tiedot
Päätekijät: Quiza, Ramón, López-Armas, Omar (Tekijä), Davim, J. Paulo, 1964- (Tekijä)
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Painos:2012.
Sarja:SpringerBriefs in Computational Mechanics
Linkit:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Huomautus: 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
Kuvaus
Yhteenveto: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 have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.
Huomautukset:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642280856
ISSN:2191-5350
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