Advanced Modeling and Optimization of Manufacturing Processes Intern
Advanced Modeling and Optimization of Manufacturing Processes presents a comprehensive review of the latest international research and development trends in the modeling and optimization of manufacturing processes, with a focus on machining. It uses examp
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R. Venkata Rao
Advanced Modeling and Optimization of Manufacturing Processes International Research and Development
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Dr. R. Venkata Rao Mechanical Engineering Department S.V. National Institute of Technology Ichchhanath, Surat Gujarat 395 007, India Tel.: +91-0261-2201697 e-mail: [email protected]
ISSN 1860-5168 ISBN 978-0-85729-014-4
e-ISBN 978-0-85729-015-1
DOI 10.1007/978-0-85729-015-1 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010937562 Ó Springer-Verlag London Limited 2011 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Cover design: eStudio Calamar, Berlin/Figueres Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Dedicated to my parents (Lakshmi Narayana and Jayamma), dearest wife (Sujatha Rao), and beloved daughter (Jaya Lakshmi)
Preface
Manufacturing includes various types of processes and today’s manufacturing processes are caught between the growing needs for quality, high process safety, minimal manufacturing costs, and short manufacturing times. In order to meet the demands, manufacturing process setting parameters have to be chosen in the best possible way. The selection of optimum process parameters plays a significant role to ensure quality of product, to reduce the manufacturing cost and to increase productivity in computer controlled manufacturing process. For such optimization it is necessary to represent the manufacturing process in a model. However, the primary challenge for manufacturing process optimization often stems from the fact that the procedure is typically highly constrained and highly non-linear. Additionally, manufacturing process models are likely discontinuous, non-explicit, or not analytically differentiable with the design variables. Due to the enormous complexity of many manufacturing processes and the high number of influencing parameters, conventional approaches to modeling
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