
Digital Twin for Smart Manufacturing
- 1st Edition - August 24, 2023
- Imprint: Academic Press
- Editors: Rajesh Kumar Dhanaraj, Ali Kashif Bashir, Rajasekar Vani, Balamurugan Balusamy, Pooja Malik
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 0 5 - 3
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 5 8 4 0 - 0
Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart man… Read more
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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
2. 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
- Edition: 1
- Published: August 24, 2023
- Imprint: Academic Press
- Language: English
RD
Rajesh Kumar Dhanaraj
AB
Ali Kashif Bashir
RV
Rajasekar Vani
BB
Balamurugan Balusamy
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
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