Digital twins are like virtual copies of real things or processes. Besides being used in manufacturing they're now used in security, safety, transportation, energy, mobility, and communications. People are trying to figure out the best ways to use this technology.
“Digital twins have huge potential for changing how we do things in the world. They let you test out something virtually before actually doing it, which saves money and time. For instance, they can help visualize and manage industrial processes to prevent major accidents or make them more energy efficient to save time, money and the environment,” says Ananda Chakraborti.
Digital twins merge the physical and digital worlds, opening up lots of possibilities. Building a digital twin is complex because it involves lots of different aspects. According to Chakraborti, this complexity makes it's hard to create on a large scale a fully functional digital twin, that would be reliable and safe. Therefore, we need new methods and algorithms to make the twinning process better.
“We also need to take full advantage of the progress in artificial intelligence (AI) and cyber physical systems (CPS) for building such reliable digital twins. In this research, we're showing that using graph-based algorithms and unsupervised learning can help simplify digital twins and make them more efficient. That will bridge the gap between the real world and its digital counterpart,” he adds.
Development of such methods and tools will accelerate the adoption of digital twins for industrial as well as public sector applications.
Public defence on Friday 3 May
The doctoral dissertation of MSc (Tech) Ananda Chakraborti in the field of Mechanical and Production Engineering titled Graph-based Model Reduction of Machine System Digital Twins will be publicly examined at the Faculty of Engineering and Natural Sciences at Tampere University at 12 noon on Friday 3 May 2024 at Konetalo, auditorium K1702 (Korkeakoulunkatu 6, Tampere).
The Opponent will be Professor Tommi Mikkonen from the University of Jyväskylä and Professor Adil Rasheed from Norwegian University of Science and Technology. The Custos will be Professor Kari T. Koskinen from Tampere University.