Details

Hybrid Modeling and Optimization of Manufacturing


Hybrid Modeling and Optimization of Manufacturing

Combining Artificial Intelligence and Finite Element Method
SpringerBriefs in Applied Sciences and Technology

von: Ramón Quiza, Omar López-Armas, J. Paulo Davim

CHF 59.00

Verlag: Springer
Format: PDF
Veröffentl.: 15.02.2012
ISBN/EAN: 9783642280856
Sprache: englisch
Anzahl Seiten: 95

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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.</p>
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.
<p>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.</p>
Explains possible combinations of AI and FEM to be used in modeling and optimization of manufacturing processes Describes comprehensively the used techniques, allowing their use by researchers and engineers Deals with the problem of modeling and optimizing manufacturing processes not only from a research point of view, but also with a technical approach Includes a full developed case of study, illustrating the application of the used techniques Includes supplementary material: sn.pub/extras

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