Robust structural design of a simplified jet engine model, using multiobjective optimization
Robust structural design of a simplified jet engine model, using multiobjective optimization
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a simplified jet engine structural model. The ultimate goal is to find the best structural configuration of shell thicknesses along the engine that will result in reduced reaction force variation under a range of external loads, will be as light as possible and where fuel consumption will be minimal. These are competitive objectives, some of which are of stochastic rather than deterministic in nature. The paper demonstrates that a deep level multiobjective search pays off many times the investment in time and money by providing significant design improvement.
multiobjective optimization, robust design, whole engine model, nsga2
Voutchkov, Ivan
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Fox, Rob
ffa98d22-9f39-497c-b648-82c369849f40
2006
Voutchkov, Ivan
16640210-6d07-49cc-aebd-28bf89c7ac27
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Fox, Rob
ffa98d22-9f39-497c-b648-82c369849f40
Voutchkov, Ivan, Keane, Andy J. and Fox, Rob
(2006)
Robust structural design of a simplified jet engine model, using multiobjective optimization.
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Portsmouth, USA.
06 - 08 Sep 2006.
13 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This study demonstrates advances in multiobjective optimization, supporting a robustness study of a simplified jet engine structural model. The ultimate goal is to find the best structural configuration of shell thicknesses along the engine that will result in reduced reaction force variation under a range of external loads, will be as light as possible and where fuel consumption will be minimal. These are competitive objectives, some of which are of stochastic rather than deterministic in nature. The paper demonstrates that a deep level multiobjective search pays off many times the investment in time and money by providing significant design improvement.
Text
vout_06.pdf
- Accepted Manuscript
More information
Published date: 2006
Additional Information:
AIAA 2006-7003
Venue - Dates:
11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Portsmouth, USA, 2006-09-06 - 2006-09-08
Keywords:
multiobjective optimization, robust design, whole engine model, nsga2
Identifiers
Local EPrints ID: 41981
URI: http://eprints.soton.ac.uk/id/eprint/41981
PURE UUID: ac217b98-a00b-436a-b8b3-28f36f95881f
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Date deposited: 24 Oct 2006
Last modified: 16 Mar 2024 02:53
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Contributors
Author:
Rob Fox
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