Digital Twins in Collaborative Design
- đ¤ Speaker: Dr Riku Ala-Laurinaho, D.Sc., Aalto University đ Website
- đ Date & Time: Tuesday 06 August 2024, 14:00 - 14:45
- đ Venue: Institute of Manufacturing (IfM), Seminar Room 2
Abstract
Mechatronic systems consist of components from several competing vendors. Ensuring the compatibility of these components is crucial to reaching the optimal performance of the system, minimizing energy consumption and reducing the maintenance need. Currently, analysis of the compatibility of the components necessitates a considerable amount of manual work, as the components are not shared openly and finding component information is laborious. This results in a current design paradigm with suboptimal components and a lack of collaboration between vendors and system integrators. This presentation discusses a paradigm shift towards a more collaborative and automated design of mechatronic systems using intellectual property (IP)-protected digital twins that are shared openly. The proposed approach relies on Digital Twin Web, SSP (System Structure and Parameterization), FMU (Functional Mockup Interface), and ontologies. This approach allows for the iterative development of a mechatronic system, during which both the components and system design are adjusted based on simulation results. The whole system can be optimized earlier in the production process, and fewer adjustments are needed in the later design and production phases. Ultimately, this leads to better performance of mechatronic systems with less manual work.
Speaker’s bio:
Riku Ala-Laurinaho is a postdoctoral researcher at Aalto University, earning his B.Sc. in 2018, M.Sc. in 2019, and D.Sc. in 2021 â all from Aalto University. With a passion for driving digital transformation in industrial settings, he currently leads the Aalto Digital Twin Lab. The lab focuses on networked digital twins, industrial information integration, and metaverse through industrial collaboration. Dr Ala-Laurinaho also serves as the project manager of the Co-Des (Digital transformation of collaborative powertrain design) project, which aims to enable automated ship powertrain design using digital twins. His current research interests include the interoperability of digital twins, industrial internet, and system integration in smart factories.
Series This talk is part of the Cyber-Human Lab Seminar Series series.
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Tuesday 06 August 2024, 14:00-14:45