Overview
- Provides systematic description on the development of ITO and multi-material ITO method
- Develops an in-house Matlab implementation code with many functions for the ITO method
- Discusses the indispensability of applying the IGA into topology optimization in many design problems
Part of the book series: Engineering Applications of Computational Methods (EACM, volume 7)
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About this book
This book provides a systematic description about the development of Isogeometric Topology Optimization (ITO) method using the density, and then addresses the effectiveness and efficiency of the ITO method on several design problems, including multi-material structures, stress-minimization structures, piezoelectric structures and also with the uniform manufacturability, ultra-lightweight architected materials with extreme bulk/shear moduli, auxetic metamaterials and auxetic meta-composites with the NPRs behavior in microstructures. A detailed MATLAB implementation of the ITO method with an in-house code “IgaTop” is also presented.
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Table of contents (9 chapters)
Authors and Affiliations
About the authors
Liang Gao is a Professor at the School of Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST), Wuhan, China. He is an Associate Director of the State Key Laboratory of Digital Manufacturing Equipment and Technology (DMET). He is a member of the Operations Research Society of China, Artificial Intelligence Society of Hubei, Operations Research Society of Hubei and Mechanical Engineering Society of Hubei. He was also the guest co-editor of the special issues of International Journal of Advancements in Computing Technology on “Particle Swarm Optimization and Applications” in 2011 and International Journal of Advanced Manufacturing Technology on “Process Planning and Production Scheduling in Sustainable Manufacturing” in 2012. He was a referee for the International Journal of Production Research, International Journal of Computer Integrated Manufacturing and other related international journals. His main research areas are the modern optimization method and its applications in mechanical design and manufacturing. Over the last 5 years, he has published 2 books and 53 papers in respected journals. He has received a number of awards, including the Ministry of Education Natural Science Award first prize in 2013 and the Chinese Mechanical Engineering Society Youth Science and Technology Achievement Award in 2013. He was selected for the Program for New Century Excellent Talents in University by the Ministry of Education in 2008.
Mi Xiao received his PhD degree in Industrial Engineering from Huazhong University of Science and Technology (HUST), Wuhan, China in 2012. He is currently an Associate Professor in School of Mechanical Science and Engineering, HUST. He is an ASME/IEEE member. He was the guest co-editor of the special issue of International Journal of Materials and Product Technology on “New Advances on Topology Optimization” in 2019, and is currently an Associate Editor of IET Collaborative Intelligent Manufacturing. His research interest is structural optimization design, mainly including topology optimization. He has published more than 70 SCI-indexed journal papers, in journals such as Nature Communications, Computer Methods in Applied Mechanics and Engineering, Reliability Engineering & System Safety, and Structural and Multidisciplinary Optimization.
Bibliographic Information
Book Title: Isogeometric Topology Optimization
Book Subtitle: Methods, Applications and Implementations
Authors: Jie Gao, Liang Gao, Mi Xiao
Series Title: Engineering Applications of Computational Methods
DOI: https://doi.org/10.1007/978-981-19-1770-7
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-19-1769-1Published: 27 April 2022
Softcover ISBN: 978-981-19-1772-1Published: 28 April 2023
eBook ISBN: 978-981-19-1770-7Published: 26 April 2022
Series ISSN: 2662-3366
Series E-ISSN: 2662-3374
Edition Number: 1
Number of Pages: XI, 222
Number of Illustrations: 11 b/w illustrations, 207 illustrations in colour
Topics: Engineering Design, Optimization, Mathematical Modeling and Industrial Mathematics, Industrial and Production Engineering