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
28 August 2014
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, Atlanta, 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.
Text
TopologyOptimisation_LiamKelly_Revised.pdf
- Accepted Manuscript
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Published date: 28 August 2014
Venue - Dates:
15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Atlanta, 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
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Date deposited: 12 Sep 2014 10:46
Last modified: 15 Mar 2024 03:29
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Author:
Liam Kelly
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