Digital Twinning for Discrete Manufacturing

1. Auflage 2025
ISBN: 978-1-041-00433-2
Verlag: CRC Press

Buch, Englisch, 288 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 449 g

This book addresses the Digital Twinning of manufacturing processes, cells, and systems and attempts to bring in the basic characteristics of the 4th Industrial Revolution along with an emphasis on Cyber-Physical Systems.

Digital Twinning for Discrete Manufacturing discusses how to maximize the use of the pillars of Industry 4.0 and 5.0 in discrete manufacturing. It presents how Digital Twinning has a very special characteristic that can be applied in the training of novice workers on expensive equipment. The book explains how Digital Twinning of laboratory industrial equipment is cheap to build and can be used to train workers on intricate machinery with real involvement, without any injury to workers or damage to the machines. The book also portrays the full scope of Digital Twinning based on AR/VR with a physical interface to real machinery.

Digital Twinning is currently an advanced topic that is of interest to researchers, postgraduates, graduates, senior undergraduates, as well as professionals.

Zielgruppe

Professional Reference

Autoren/Hrsg.

Zhao, Haiyan

Hussain, Ghulam

Abbas, Ghulam

Rahman, Khalid

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Technische Wissenschaften Technik Allgemein Industrial Engineering
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

1. Digital Twinning: Origin, Basics and Standards. 2. Optimizing the dependability of cyber-physical systems using Digital Twinning. 3. Digital Twinning: Paradigm shift from Industry 4.0 to 5.0. 4. The Role of Cybersecurity and Big Data in Digital Twinning: A Review, Challenges, and Opportunities. 5. Mastering Machine Tools in the Digital Age: The Role of Digital Twin in Modern Machine Tool Operations. 6. A Framework for Autonomous Feedback Control from Digital Twin to Six Degree of Freedom Machining Bed. 7. Process Design and Simulation for Digital Twinning of Thixoforming. 8. Development of a Surface Sensing Tool for Normal Measurement for Robotic Machining Tasks. 9. Digital Twin-Driven Approach to Predict Cutting Forces and Temperature in Turning of Ti 6246 Alloy. 10. Predictive Maintenance of Machine Tools Using Digital Twin. 11. Exploring Contemporary Approaches to Machine Tool Maintenance: Leveraging Digital Twins. 12. Benchmarking Sim2Real Gap: High-fidelity Digital Twinning of Agile Manufacturing. 13. Roles of Digital Twin in Wireless Networks. 14. Quantum Computing Digital Twin and Applications. 15. Schemes for Cyber-secure manufacturing.

Über Autor(innen)

Haiyan Zhao received his Ph.D in Mechanical Engineering from Xi’an Jiaotong University in 1997, following a B.S. from the same university in 1992. Since 2000, he has been with the Department of Mechanical Engineering at Tsinghua University, China, where he has served as Assistant Professor, Associate Professor, and currently, Full Professor. From 2004 to 2005, Dr. Zhao was a visiting professor at RWTH Aachen University in Germany. His research interests include welding and joining, manufacturing by materials processing, modeling and simulation theory and applications, prediction and control of residual stress and deformation as well as two-dimensional materials and their applications. Dr. Zhao has received several awards, including the Ministry of Education's New Century Excellent Talents award in 2007, the Ministry of Education Science and Technology Progress Award in 2016, and the Beijing Higher Education Teaching Achievement Award in 2021. He has also authored numerous books and has published extensively in academic journals and conferences.

Ghulam Hussain is a full professor of Mechanical Engineering at the University of Bahrain. He has rich experience working both in academia and industry. He is a renowned scholar of manufacturing with expertise in Additive Manufacturing, Hybrid Manufacturing, Sustainable Manufacturing, Metal Forming, Welding, Material Characterization, Process Modelling & Optimization, and Surface Engineering. He is the author of over 140 scholarly articles and the editor of several books published by Taylor & Francis. He has been recognized as a leading researcher, and he is regarded as a distinguished scholar in many top-tier universities and is actively engaged in joint research there. Professor Ghulam is also working as an editor and as a board member of reputed international journals.

Ghulam Abbas received the B.S. degree in computer science from the University of Peshawar, Pakistan, in 2003, and the M.S. degree in distributed systems and the Ph.D. degree in computer networks from the University of Liverpool, U.K., in 2005 and 2010, respectively. From 2006 to 2010, he was a Research Associate with Liverpool Hope University, U.K., where he was associated with the Intelligent & Distributed Systems Laboratory. Since 2011, he has been with the Faculty of Computer Science & Engineering, GIK Institute of Engineering Sciences and Technology, Pakistan. He is currently working as a full Professor, Head of the Cybersecurity and Software Engineering Department. Prof. Abbas is a co-founding member of the Telecommunications and Networking (TeleCoN) Research Center at GIK Institute. He has authored more than 150 research articles and has won several prestigious national and international research awards. In recognition of his professional standing, Prof. Abbas was elected as a Fellow of the Institute of Science & Technology, England, Fellow of the British Computer Society, and Senior Member of IEEE. His research interests include network resource allocation and traffic management, cybersecurity, mobile edge computing, cognitive radio networks, multi-user relay networks, and 5G heterogeneous cellular networks.

Khalid Rahman is a Professor in the Faculty of Mechanical Engineering at Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Pakistan. With a PhD in Mechatronics Engineering from Jeju National University, South Korea, his research expertise lies in electrohydrodynamic (EHD) inkjet printing, additive manufacturing, and printed electronics. He has held senior research roles internationally, including at Klagenfurt University and Silicon Austria Labs, Austria, where he developed high-resolution EHD-based multi-nozzle printheads and advanced microstructures. Dr. Rahman has secured significant national research grants, supervised multiple PhD and MS theses, and has authored over 35 peer-reviewed journal articles. He also serves as an evaluator for national academic and engineering councils and contributes to curriculum development and quality assurance in higher education. His work has been recognized with a “Seal of Excellence” under the Horizon 2020 Marie Sklodowska-Curie program.