Abstract
Data generated throughout the product development lifecycle is often unused to its full potential, particularly for improving the engineering design process. Although Knowledge-Based Engineering (KBE) approaches are not new, the Digital Twin (DT) concept is giving new momentum to it, fostering the availability of lifecycle data with the potential to be transformed into new design knowledge. This approach creates an opportunity to research how digital infrastructures and new knowledge-based processes can be articulated to implement more effective KBE approaches. This paper describes how combining a DT-based Digital Platform (DP) with new engineering design processes can improve Knowledge Management (KM) in product design. A case study of a company in the energy sector highlights the challenges and benefits of this approach.
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Acknowledgments
The project TRF4p0-Transformer4.0 leading to this work is co-financed by the ERDF, through COMPETE-POCI and by the Foundation for Science and Technology under the MIT Portugal Program under POCI-01-0247-FEDER-045926. The second author was additionally funded by the Ph.D. Grant UI/BD/152565/2022 from the Portuguese funding agency, FCT-Fundação para a Ciência e a Tecnologia.
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Berwanger, S., Silva, H.D., Soares, A.L., Coutinho, C. (2024). Knowledge-Based Engineering Design Supported by a Digital Twin Platform. In: Danjou, C., Harik, R., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation. PLM 2023. IFIP Advances in Information and Communication Technology, vol 701. Springer, Cham. https://doi.org/10.1007/978-3-031-62578-7_23
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