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Topology optimisation: increasing the speed and reliability of design

Topology optimisation: increasing the speed and reliability of design
Topology optimisation: increasing the speed and reliability of design
In this paper, topology optimisation is applied to the design of the rear fuselage of an unmanned aerial vehicle (UAV). A comparison is drawn between the performance of a design created through evolutionary structural optimisation (ESO) and a baseline design modelled on a manually designed and successfully flow fuselage geometry, for different wing shapes. The loading for each wing shape is determined by full-potential (FP) aerodynamic analysis. A Kriging model is then employed in a multidisciplinary optimisation procedure driving a trade study between aerodynamic efficiency and aircraft structural weight. Using this procedure, a Pareto front is populated to give a set of optimal designs which satisfy maximum aerodynamic efficiency and minimum weight objectives. A wide search of the design space is achieved with little manual intervention, which makes use of the high fidelity weight estimate extracted from topology optimization results.
978-1-62410-283-7
Kelly, Liam
46be85d1-7b18-4b53-be98-cfab4e413a56
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Kelly, Liam
46be85d1-7b18-4b53-be98-cfab4e413a56
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68

Kelly, Liam, Keane, Andy J., Sobester, Andras and Toal, David J.J. (2014) Topology optimisation: increasing the speed and reliability of design. 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, United States. 16 - 20 Jun 2014. 11 pp . (doi:10.2514/6.2014-2593).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, topology optimisation is applied to the design of the rear fuselage of an unmanned aerial vehicle (UAV). A comparison is drawn between the performance of a design created through evolutionary structural optimisation (ESO) and a baseline design modelled on a manually designed and successfully flow fuselage geometry, for different wing shapes. The loading for each wing shape is determined by full-potential (FP) aerodynamic analysis. A Kriging model is then employed in a multidisciplinary optimisation procedure driving a trade study between aerodynamic efficiency and aircraft structural weight. Using this procedure, a Pareto front is populated to give a set of optimal designs which satisfy maximum aerodynamic efficiency and minimum weight objectives. A wide search of the design space is achieved with little manual intervention, which makes use of the high fidelity weight estimate extracted from topology optimization results.

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TopologyOptimisation_LiamKelly_Revised.pdf - Accepted Manuscript
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More information

Published date: 28 August 2014
Venue - Dates: 15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, United States, 2014-06-16 - 2014-06-20
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 368408
URI: http://eprints.soton.ac.uk/id/eprint/368408
ISBN: 978-1-62410-283-7
PURE UUID: 5f96719c-6d0b-4d5f-828a-03cbf564a03b
ORCID for Andras Sobester: ORCID iD orcid.org/0000-0002-8997-4375
ORCID for David J.J. Toal: ORCID iD orcid.org/0000-0002-2203-0302

Catalogue record

Date deposited: 12 Sep 2014 10:46
Last modified: 20 Jul 2019 01:03

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