DTSM-2021: Digital Twin for Smart Manufacturing: Emerging Approaches and Applications |
Submission link | https://easychair.org/conferences/?conf=dtsm2021 |
Abstract Submission | August 31, 2021 |
Full Chapter Submission | October 16, 2021 |
First review of report | October 29, 2021 |
Revised Chapter Submission | November 10, 2021 |
Final Decision | November 30, 2021 |
Digital twins integrate IoT, 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. Digital twin provides an effective way for the cyber-physical integration of manufacturing. Meanwhile, smart manufacturing services could optimize the entire business processes and operation procedure of manufacturing, to achieve a new higher level of productivity. Combined with the services, the digital twin will generate more reasonable manufacturing planning and precise production control to help achieve smart manufacturing, through the two-way connectivity between the virtual and physical worlds of manufacturing
Topics which are not limited to
- Introduction: Digital Twin and Digital Twin-Driven manufacturing
- Knowledge driven Digital twin manufacturing
- Digital Twin with optimization in product design framework
- Challenges in Digital Twin
- 3D Printing and Digital Twin towards Additive manufacturing
- Digital Twin for Industrial IoT
- Digital Twin for Augment Reality and Virtual Reality
- Digital Twin in designing Industrial Robots
- Digital Twin in design and production engineering
- Fault diagnosis in smart manufacturing by Digital Twin
- Digital Twin for energy consumption management in industry
- Potential applications of twin control approach in Virtual factory
- Future Generation Digital Twin Techniques
- Case Study: Digital Twin Manufacturing in Cyber Physical Systems
- Case Study: Digital twin shop-floor
- Case Study: Digital twin and Artificial Intelligence in Industries
Editors
1. Rajesh Kumara Dhanaraj, Galgotias University, India
2. Ali Kashif Bashir, Metropoliton University, UK
3. Vani Rajasekar, Kongu Engineering College, India
4. Balamurugan Balusamy, Galgotias University, India
5. Pooja Malik, Shiv Nadar University, India
Contact
All questions about submissions should be emailed to dtsmnew2021@gmail.com