Shubham, ShubhamSpinelli, AndreaKipouros, Timoleon2024-10-252024-10-252024-09-09Shubham S, Spinelli A, Kipouros T. (2024) Multi-fidelity multi-disciplinary optimisation of propeller design by visual analytics. In: Computer Graphics & Visual Computing (CGVC) 2024, 12-13 September 2024, London, UK978-3-03868-249-3https://doi.org/10.2312/cgvc.20241231https://dspace.lib.cranfield.ac.uk/handle/1826/23122Computer Graphics & Visual Computing (CGVC) 2024, 12-13th September 2024, London, UKThis paper introduces a comprehensive framework for multi-fidelity, multi-disciplinary optimization of propeller design using visual analytics. The proposed methodology integrates advanced data visualization techniques, surrogate modelling and optimisation methodologies to handle high-dimensional data across various disciplines, including aerodynamics, aeroacoustics, and structures. By leveraging multi-fidelity simulations, the framework balances accuracy with computational efficiency, enabling detailed exploration and optimization of propeller designs. Interactive visualization tools in the framework facilitate the identification of optimal design parameters and trade-offs, highlighting its potential to improve decision-making in engineering design processes in terms of confidence and knowledge creation.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Human-centered computingVisual analyticsComputing methodologiesModeling and simulationMathematics of computingMathematical optimisationConference paper555357