[Lecture] Dilemmas and Future Directions of Digital Twin for Industrial Applications
Speaker: Dr.-Ing. Dachuan Shi, Research Scientist, Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Time: 15:30, July 13, 2023
Venue:
https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZDIzNTI0ODgtMTY5ZS00ZjU2LTgwMzQtNGZhZjEwMmFhMTJh%40thread.v2/0?context=%7b%22Tid%22%3a%220b6b9a6a-d9d6-4ef0-a36f-5dc22f35388b%22%2c%22Oid%22%3a%22b3a4a853-427e-4c6d-b1c2-e9007d3c7aa4%22%7d
Abstract:
This course draws from a wealth of European, particularly German, industrial case studies and research project outcomes to present students with the current state of Digital Twin technology in both academia and industry. We delve into the challenges it faces, as well as its future development trajectory. Notably, the course explores the standard solution for Digital Twin promoted by the German government to the International Electrotechnical Commission in the context of Industry 4.0, namely the Asset Administration Shell. In addition, the course elucidates the links between Digital Twin technology, simulation techniques, and artificial intelligence. This comprehensive overview serves as a launchpad to introduce promising future directions of this burgeoning field.
Biography:
Dachuan Shi, doctoral engineer from TU Berlin, currently serving as a research fellow at Fraunhofer Institute for Manufacturing Engineering and Automation IPA. His primary research interests include Digital Twin, industrial artificial intelligence and predictive maintenance. The outcomes of his research have found engineering applications in fields like railway and smart manufacturing, and have been published in top-tier journals including Mechanical Systems and Signal Processing. He has coordinated large-scale research projects funded by EU Horizon 2020, the German Federal Ministry of Education and Research, and the German Research Foundation, garnering research funds exceeding 10 million Euros.
