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Digital Twin for Smart Manufacturing
Draws on industry case studies to provide detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing
Rajesh Kumar Dhanaraj (Edited by), Ali Kashif Bashir (Edited by), Rajasekar Vani (Edited by), Balamurugan Balusamy (Edited by), Pooja Malik (Edited by)
9780323992053, Elsevier Science
Paperback / softback, published 24 August 2023
318 pages
22.9 x 15.1 x 2.3 cm, 0.45 kg
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.
1. Digital twin and digital twin
3. Digital twin and artificial intelligence in industries
4. Artificial intelligence
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
Subject Areas: Other manufacturing technologies [TDP]
