Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31980
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dc.contributor.authorBurke, M-
dc.contributor.authorGatto, A-
dc.coverage.spatialToulouse, France-
dc.date.accessioned2025-09-12T15:14:40Z-
dc.date.available2025-09-12T15:14:40Z-
dc.date.issued2025-01-28-
dc.identifierORCiD: Alvin Gatto https://orcid.org/0000-0003-4443-0451-
dc.identifier.citationBurke, M. and Gatto, A. (2025) 'Conceptual Aircraft Design and AI: Developing a functional relationship for the rapid realisation of future drone concepts', Towards Sustainable Aviation” Summit, Toulouse, France, 28-30 January, pp. 1 - 9.en_US
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31980-
dc.description.abstractThe use of Unmanned Aerial Vehicles(UAVs) has expanded rapidly over the last decade. These systems have an almost limitless scope of application with resupply, surveillance, monitoring, and logistics representing but a few. Having such a wide scope, a means to rapidly, efficiently and accurately develop new designs fit-for-purpose would offer a significant advantage to developers given their inherent need to maximise potential within a competitive marketplace. This paper attempts to leverage the capabilities of Artificial Intelligence(AI) for this purpose through the development of functional synergies to predict maximum rated engine power from limited inputs and datasets. Overall, the use of AI techniques was found to offer the potential to substantial improve and enhance the design process with also the possibility for the creation of more cost-effective and efficient software tools that could significantly streamline the process.en_US
dc.description.sponsorshipThe work was financially supported under project “DATA3: Drone Design using AI for Transport Applications 3(Grant No 10126519)” as part of the UKRI Innovate UK Feasibility studies for AI solutions: Series 2 competition.en_US
dc.format.extent1 - 9-
dc.format.mediumElectronic-
dc.language.isoenen_US
dc.publisher3AF – Association Aéronautique et Astronautique de Franceen_US
dc.relation.urihttps://www.3af-tsas.com/the-organizer-3af-
dc.sourceTowards Sustainable Aviation” Summit, 28 – 30 January 2025-
dc.sourceTowards Sustainable Aviation” Summit, 28 – 30 January 2025-
dc.sourceTowards Sustainable Aviation” Summit-
dc.sourceTowards Sustainable Aviation” Summit-
dc.titleConceptual Aircraft Design and AI: Developing a functional relationship for the rapid realisation of future drone conceptsen_US
dc.typeConference Paperen_US
pubs.finish-date2025-09-30-
pubs.finish-date2025-09-30-
pubs.finish-date2025-01-30-
pubs.finish-date2025-01-30-
pubs.publication-statusPublished-
pubs.start-date2025-01-28-
pubs.start-date2025-01-28-
pubs.start-date2025-01-28-
pubs.start-date2025-01-28-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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