Design of Experiments in Production Engineering
This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineer
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J. Paulo Davim Editor
Design of Experiments in Production Engineering
Management and Industrial Engineering Series editor J. Paulo Davim, Aveiro, Portugal
More information about this series at http://www.springer.com/series/11690
J. Paulo Davim Editor
Design of Experiments in Production Engineering
123
Editor J. Paulo Davim Department of Mechanical Engineering University of Aveiro Aveiro Portugal
ISSN 2365-0532 ISSN 2365-0540 (electronic) Management and Industrial Engineering ISBN 978-3-319-23837-1 ISBN 978-3-319-23838-8 (eBook) DOI 10.1007/978-3-319-23838-8 Library of Congress Control Number: 2015948765 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2016 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. 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. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
Preface
Nowadays, it is the trend to report production engineering as a combination of manufacturing technology with applied management science. This book covers design of experiments (DoE) applied in production engineering. DoE is a statistical methodology used to establish statistical correlation between a set of input variables with a chosen outcome of the system/process. DoE is a systematic approach to investigation of a system/process. In general, DoE analysing and interpreting sets of experiments without incurring a too high cost or taking too much time. The purpose of this book is to present a collection of examples illustrating DoE applied in production engineering. The first chapter is “Screening (Sieve) Design of Experiments in Metal Cutting”. The second chapter is “Modelling and Optimisation of Machining with the Use of Statistical Methods and Soft Computing”. The third chapter is “Design of Experiments—Statistical and Artificial Intelligence Analysis for the Improvement of Machining Processes: A Review”. The fourth chapter is “A Systematic Approach to Design of Experim
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