Digital Twin For Smart Manufacturing

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. Detailed case studies show how digital twins have been successfully implemented in real life Shows how digital twins can be used to improve sustainability through superior energy usage management Outlines potential future uses of the digital twin, pointing the way for future research directions INDICE: 1. Introduction: Digital Twin and Digital Twin-Driven manufacturing2. Knowledge driven Digital twin manufacturing3. Digital Twin with optimization in product design framework4. Challenges in Digital Twin5. 3D Printing and Digital Twin towards Additive manufacturing6. Digital Twin for Industrial IoT7. Digital Twin for Augment Reality and Virtual Reality8. Digital Twin in designing Industrial Robots9. Digital Twin in design and production engineering10. Fault diagnosis in smart manufacturing by Digital Twin11. Digital Twin for energy consumption management in industry12. Potential applications of twin control approach in Virtual factory13. Future Generation Digital Twin Techniques14. Case Study: Digital Twin Manufacturing in Cyber Physical Systems15. Case Study: Digital twin shop-floor16. Case Study: Digital twin and Artificial Intelligence in Industries

• ISBN: 978-0-323-99205-3
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 350
• Fecha Publicación: 01/06/2023
• Nº Volúmenes: 1
• Idioma: Inglés