Generation of Material Twin Using Micro CT Scanning
The focus of this chapter is to present an overview of the contextual knowledge necessary for using material twins from CT scans for virtual characterization of fibrous reinforcements. The chapter has been divided into various sections. In the first secti
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CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
Muhammad A. Ali Rehan Umer Kamran A. Khan •
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CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
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Muhammad A. Ali Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi, United Arab Emirates
Rehan Umer Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi, United Arab Emirates
Kamran A. Khan Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi, United Arab Emirates
ISBN 978-981-15-8020-8 ISBN 978-981-15-8021-5 https://doi.org/10.1007/978-981-15-8021-5
(eBook)
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and exclusively licensed 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, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Acknowledgements
This book is based on research conducted at Khalifa University of Science and Technology (KUST), Abu Dhabi, United Arab Emirates. We are thankful to KUST for providing funding for conducting this research. We are thankful to Prof. Wesley J. Cantwell, Director Aerospace Research and Innovation Center (ARIC), for his valuable guidance throughout this work. We also appreciate the efforts of the research and support staff at KUST, Mr. Pradeep George, Mr. Jimmy Thomas, and Dr. Alia Aziz, for their involvement at various stages of this research. We are eternally indebted to our families for their unconditional support throughout the project. We are also profoundly grateful to fellow researchers, Dr. Yarjan A
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