Robust design optimisation of S-ducts

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dc.contributor.authorScaramuzzi, Andrea
dc.contributor.authorBenini, Ernesto
dc.contributor.authorKipouros, Timoleon
dc.date.accessioned2022-08-01T13:28:44Z
dc.date.available2022-08-01T13:28:44Z
dc.date.issued2022-06-20
dc.description.abstractOver the past years, robust optimisations have become very popular and necessary. The aim of this type of optimisation is to consider the sensitivity of the output results to small variations in the operating conditions and manufacturing tolerances. To study such sensitivities, an accurate and efficient method to quantify the uncertainties in physical processes is necessary. We present here the study and design of an S-duct, suitable for distributed propulsion configurations, and we address practical considerations of the application of robust optimisation to real-world design problems under multiple uncertainties. Two different non-intrusive Polynomial Chaos techniques have been chosen to quantify the input and output uncertainties, namely the non-intrusive point collocation and the non-intrusive spectral projection. These two techniques were implemented in two different robust optimisation problems (R1D and R2D) and their optima designs were analysed. To demonstrate the effectiveness of the robust optimisation problem formulation and analysis we compared the newly discovered optimum designs with previous non-robust optimum configurations. The results are discussed in detail and have shown a clear reduction in swirl values at the AIP, without affecting the pressure recovery of the diffuser when uncertainty properties were considered. In addition, robust codes have found S-duct shapes with swirl standard deviation values that are an order of magnitude smaller than the NON-Robust optimized designs and the baseline geometry.en_UK
dc.identifier.citationScaramuzzi A, Benini E, Kipouros T. (2022) Robust design optimisation of S-ducts. In: Proceedings of the AIAA Aviation 2022 Forum, 27 June-1 July, Chicago, IL, USAen_UK
dc.identifier.eisbn978-1-62410-635-4
dc.identifier.urihttps://doi.org/10.2514/6.2022-3929
dc.identifier.urihttps://doi.org/10.2514/6.2022-3929.vid
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/18264
dc.language.isoenen_UK
dc.publisherAIAAen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleRobust design optimisation of S-ductsen_UK
dc.typeConference paperen_UK

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