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Hybrid Modeling and Optimization of Manufacturing

Combining Artificial Intelligence and Finite Element Method

J. Paulo Davim, Omar López-Armas, Ramón Quiza, et al.

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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Maschinenbau, Fertigungstechnik

Beschreibung

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.

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Schlagwörter

Manufacturing processes, FEM modeling, Hybrid modeling, Bayesian probability, AI tools optimization, Evolutionary algorithms