Physics-based dynamic simulation opportunities with digital twins
Kurvinen, Emil; Mahmoudzadeh Andwari, Amin; Könnö, Juho
Kurvinen, E., Mahmoudzadeh Andwari, A., & Könnö, J. (2022). Physics-based dynamic simulation opportunities with digital twins. Future Technology, 1(3), 03–05. Retrieved from https://fupubco.com/futech/article/view/35
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https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe2022090257106
Tiivistelmä
Abstract
This paper aims to provide a viewpoint on the exploitation of physics-based dynamic simulation in product development and discrete manufacturing products. The dynamics models can be represented with computationally light models when the product and its dynamics are well known and thereby analyzing the performance e.g., with AI methods rapidly and accurately. The recent developments with methodologies, sensor development, measuring techniques and increased computing capacity are making the simulation world closer to reality and the ability for real-time operation simulations paralleled to the real system. This enables the exploitation of the digital twin paradigm at full capacity together with high-maturity digital twin models.
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