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Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method

✍ Scribed by Ramón Quiza, Omar López-Armas, J. Paulo Davim (auth.)

Publisher
Springer-Verlag Berlin Heidelberg
Year
2012
Tongue
English
Leaves
98
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1
Category
Library
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✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Introduction....Pages 1-11
Finite Element in Manufacturing Processes....Pages 13-37
Artificial Intelligence Tools....Pages 39-77
Case of Study....Pages 79-91
Back Matter....Pages 93-95

✦ Subjects

Operating Procedures, Materials Treatment; Continuum Mechanics and Mechanics of Materials; Computational Intelligence

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