An interactive framework to facilitate probabilistic set-based multidisciplinary design optimisation studies

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dc.contributor.authorKrupa, Gustavo P.
dc.contributor.authorSpinelli, Andrea
dc.contributor.authorKipouros, Timoleon
dc.date.accessioned2023-07-14T10:54:45Z
dc.date.available2023-07-14T10:54:45Z
dc.date.issued2023-06-28
dc.description.abstractThe upcoming stringent environmental aircraft regulations and the environmental, social and governance (ESG) framework targeting net zero emissions has forced aircraft manufacturers to seek innovative feasible technical solutions. Often, there is the need to consider entirely radical solutions, such as hybrid-electric aircraft, which are not fully understood when compared with conventional kerosene driven aircraft. The recent development of a probabilistic set-based multidisciplinary optimisation methodology has demonstrated the ability to explore trade-offs when the requirements are uncertain. In this way, the weaknesses and potential to enable the feasibility of hybrid-electric aircraft can be studied from a systems perspective but maintaining the connection with more detailed trade-off studies of components of the sub-systems. We have developed an interactive interface, where the user is guided through the steps of the design methodology and the produced data is visualised to aid an informative decision-making process. In our illustrative case study, decision-makers are enabled to interactively explore the hybrid-electric propulsion design space while considering the impact to the figures of merit from expected improvements in the coming years of key enabling technologies, such as energy storage.en_UK
dc.identifier.citationKrupa GP, Spinelli A, Kipouros T. (2023) An interactive framework to facilitate probabilistic set-based multidisciplinary design optimisation studies. Journal of Physics: Conference Series, Volume 2526, Article number 012028. 12th EASN International Conference on "Innovation in Aviation & Space for Opening New Horizons" 2022, 18-21 October 2022, Barcelona, Spainen_UK
dc.identifier.issn1742-6588
dc.identifier.urihttps://doi.org/10.1088/1742-6596/2526/1/012028
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/19997
dc.language.isoenen_UK
dc.publisherIOP Publishingen_UK
dc.rightsAttribution 3.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/*
dc.titleAn interactive framework to facilitate probabilistic set-based multidisciplinary design optimisation studiesen_UK
dc.typeConference paperen_UK

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