Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm.
Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
1. Digital twin and digital twin2. Knowledge-driven digital twin manufacturing
3. Digital twin and artificial intelligence in industries
4. Artificial intelligence
5. Industry 4.0: survey of digital twin in smart manufacturing and smart cities
6. Digital twins and artificial intelligence: transforming industrial operations
7. The convergence of digital twin, Internet of Things, and artificial intelligence: digital smart farming
8. Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins
9. Digital twin technologies for automated vehicles in smart healthcare systems
10. Impact of Internet of Things and digital twin on manufacturing era
11. Fault diagnosis in digital twin manufacturing
12. Potential applications of digital twin technology in virtual factory
13. Digital twins in precision agriculture monitoring using artificial intelligence
14. Digital twins and cyber-physical system for smart factory
Authors
Rajesh Kumar Dhanaraj Professor, Symbiosis International (Deemed University), Pune, India. Dr. Rajesh Kumar Dhanaraj is a professor at the Symbiosis International (Deemed University) in Pune, India. His research and publication interests include cyber-physical systems, wireless sensor networks, and cloud computing. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), a member of the Computer Science Teacher Association (CSTA) and member of the International Association of Engineers (IAENG). He is an expert advisory panel member of Texas Instruments Inc. (USA), and an associate editor of International Journal of Pervasive Computing and Communications (Emerald Publishing). Ali Kashif Bashir Metropolitan University, UK.Ali Kashif Bashir is an Associate Professor at the School of Computing and Mathematics of Manchester Metropolitan University, United Kingdom, an Adjunct Professor at the School of Electrical Engineering and Computer Science at the National University of Science and Technology, Islamabad (NUST), Pakistan, an Honorary Professor at the School of Information and Communication Engineering of the University of Electronics Science and Technology of China (UESTC) and a Chief Advisor at the Visual Intelligence Research Center, UESTC, China. He is a senior member of Institute of Electrical and Electronics Engineers (IEEE), USA and Distinguished Speaker of Association for Computing Machinery (ACM), USA.
Rajasekar Vani Assistant Professor, M.Tech( Information and Cyberwarefare), Kongu Engineering College, India. Vani Rajasekar is an Assistant Professor at the School of Computer Science and Technology at Kongu Engineering College. Her research focuses on network security and cryptography, and she has been published in 8 international journals, and presented at 8 international conferences. Balamurugan Balusamy Shiv Nadar University, Delhi-NCR, India.Dr. Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence, Delhi-NCR. He is part of the Top 2% Scientists Worldwide 2023 by Stanford University in the area of Data Science/AI/ML. He is also an Adjunct Professor, Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, block chain, and data sciences.
Pooja Malik Assistant Professor, Department of Computer Science and Engineering, Shiv Nadar University, India. Pooja Malik is an Assistant Professor at the Department of Computer Science and Engineering at Shiv Nadar University, India. She teaches courses on computing and programming, data structures, and artificial intelligence, and her research interests include artificial intelligence, natural language processing, and machine learning.
