Authors:
- 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
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Mechanics (BRIEFSCOMPUTAT)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (4 chapters)
-
Front Matter
-
Back Matter
About this book
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.
Authors and Affiliations
-
, Department of Mechanical Engineering, University of Matanzas, Matanzas, Cuba
Ramón Quiza, Omar López-Armas
-
, Department of Mechanical Engineering, University of Aveiro, Aveiro, Portugal
J. Paulo Davim
Bibliographic Information
Book Title: Hybrid Modeling and Optimization of Manufacturing
Book Subtitle: Combining Artificial Intelligence and Finite Element Method
Authors: Ramón Quiza, Omar López-Armas, J. Paulo Davim
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-642-28085-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2012
Softcover ISBN: 978-3-642-28084-9Published: 17 February 2012
eBook ISBN: 978-3-642-28085-6Published: 15 February 2012
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VIII, 95
Number of Illustrations: 67 b/w illustrations
Topics: Manufacturing, Machines, Tools, Processes, Solid Mechanics, Computational Intelligence