Hybrid Modeling and Optimization of Manufacturing Combining Artifici
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 an
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Ramón Quiza Omar López-Armas J. Paulo Davim •
Hybrid Modeling and Optimization of Manufacturing Combining Artificial Intelligence and Finite Element Method
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Ramón Quiza Department of Mechanical Engineering University of Matanzas Autopista a Varadero 44740 Matanzas Cuba
J. Paulo Davim Department of Mechanical Engineering University of Aveiro Campus Santiago 3810-193 Aveiro Portugal
Omar López-Armas Department of Mechanical Engineering University of Matanzas Autopista a Varadero, km 3 44740 Matanzas Cuba
ISSN 2191-5342 ISBN 978-3-642-28084-9 DOI 10.1007/978-3-642-28085-6
e-ISSN 2191-5350 e-ISBN 978-3-642-28085-6
Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2012931420 Ó The Author(s) 2012 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Neither the finite element method nor the artificial intelligence are new tools in modeling and optimization of manufacturing processes. A big amount of information on these topics can be found in the specialized literature. Nevertheless, the combination of both approaches in not as old and widespread. Only in recent years, this approach is beginning to receive a noticeable attention from the research community. Combini
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