Print Email Facebook Twitter Digital Thread Roadmap for Manufacturing and Health Monitoring the Life Cycle of Composite Aerospace Components Title Digital Thread Roadmap for Manufacturing and Health Monitoring the Life Cycle of Composite Aerospace Components Author Eskue, N.D. (TU Delft Structural Integrity & Composites) Date 2023 Abstract This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data capture/processing/storage, sensors, simulation, and blockchain. While the individual steps that make up the digital thread have made manufacturing innovation and benefits possible, the connection points of the thread are not consistently solid, with many experiments and proof-of-concepts being conducted, but with few full digital threads in deployment. Key gaps include the ability to handle such large and continuous amounts of data, the infrastructure needed to capture and process them for insight, and the AI-based analytics to build and scale enough to obtain the expected exponential benefits for life cycle insight and manufacturing optimization. Though some of these gaps may take specific technology innovations to advance, there is a specific roadmap that can be deployed immediately in order to obtain “rolling ROI” benefits that will scale in value as this cycle is repeated across the product line. Subject digital threadartificial intelligencedigital twinprocess control;predictive maintenancefactory optimizationcomposites manufacturingstructural health monitoringblockchainlife cycle optimization To reference this document use: http://resolver.tudelft.nl/uuid:c1530e47-4cb5-4f88-a13f-6a8e8b820f4c DOI https://doi.org/10.3390/aerospace10020146 ISSN 2226-4310 Source Aerospace, 10 (2) Part of collection Institutional Repository Document type review Rights © 2023 N.D. Eskue Files PDF aerospace_10_00146.pdf 2.85 MB Close viewer /islandora/object/uuid:c1530e47-4cb5-4f88-a13f-6a8e8b820f4c/datastream/OBJ/view