Digital Twin for Smart Manufacturing - Brossura

Brossura

ISBN 10: 0323992056 ISBN 13: 9780323992053

Casa editrice: Academic Press, 2023

Riassunto

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.

• Includes detailed case studies that show how digital twins have been successfully implemented
• Shows how digital twins can be used to improve sustainability through superior energy usage management
• Outlines potential future uses of the digital twin, thus pointing the way for future research directions

Su questo libro

Informazioni sugli autori

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 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 the Institute of Electrical and Electronics Engineers (IEEE), United States and a distinguished speaker of the Association for Computing Machinery (ACM), United States.

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.

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 in the Department of Computer Science and Information Engineering, Taylor University, Malaysia. His contributions focus on engineering education, blockchain, and data sciences

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.

Dalla quarta di copertina

Digital Twin For Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions of how to integrate and optimize novel digital technologies for smart manufacturing. Digital twins 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. They also 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, this 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.

Dettagli dell?edizione

• Editore: Academic Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0323992056
• ISBN 13: 9780323992053
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 318
• Redattore: Dhanaraj, Bashir, Vani, Balusamy, Malik
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile