Hybrid Modeling and Optimization of Manufacturing
Combining Artificial Intelligence and Finite Element Method
Nonfiction, Science & Nature, Science, Physics, Mechanics, Technology, Manufacturing
| Author: | Ramón Quiza, Omar López-Armas, J. Paulo Davim | ISBN: | 9783642280856 |
| Publisher: | Springer Berlin Heidelberg | Publication: | February 15, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | Ramón Quiza, Omar López-Armas, J. Paulo Davim |
| ISBN: | 9783642280856 |
| Publisher: | Springer Berlin Heidelberg |
| Publication: | February 15, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
