Applying multiobjective cost and weight optimization to the initial design of turbine disks
Applying multiobjective cost and weight optimization to the initial design of turbine disks
Aerospace design optimization typically explores the effects of structural performance and aerodynamics on the geometry of a component. This paper presents a methodology to incorporate manufacturing cost and fatigue life models within an integrated system to simultaneously trade off the conflicting objectives of minimum weight and manufacturing cost while satisfying constraints placed by structural performance and fatigue. A case study involving the design of a high pressure turbine disk from an aircraft engine is presented. Manufacturing cost and fatigue life models are developed in DECISIONPRO, a generic modeling tool, wheras finite element analysis is carried out in the Rolls-Royce PLC proprietary solver SC03. A multiobjective optimization approach based on the nondominated sorting genetic algorithm (NSGA) is used to evaluate the Pareto front for minimum cost and volume designs. A sequential workflow of the different models embedded within a scripting environment developed in MATLAB is used for automating the entire process.
1303-1310
Rao, A.R.
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Scanlan, J.P.
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December 2007
Rao, A.R.
c8c754e9-ee73-48bd-8959-cfbcf1eb83f4
Scanlan, J.P.
26d7fa33-5415-4910-89d8-fb3620413def
Rao, A.R. and Scanlan, J.P.
(2007)
Applying multiobjective cost and weight optimization to the initial design of turbine disks.
Journal of Mechanical Design, 129 (12), .
(doi:10.1115/1.2779899).
Abstract
Aerospace design optimization typically explores the effects of structural performance and aerodynamics on the geometry of a component. This paper presents a methodology to incorporate manufacturing cost and fatigue life models within an integrated system to simultaneously trade off the conflicting objectives of minimum weight and manufacturing cost while satisfying constraints placed by structural performance and fatigue. A case study involving the design of a high pressure turbine disk from an aircraft engine is presented. Manufacturing cost and fatigue life models are developed in DECISIONPRO, a generic modeling tool, wheras finite element analysis is carried out in the Rolls-Royce PLC proprietary solver SC03. A multiobjective optimization approach based on the nondominated sorting genetic algorithm (NSGA) is used to evaluate the Pareto front for minimum cost and volume designs. A sequential workflow of the different models embedded within a scripting environment developed in MATLAB is used for automating the entire process.
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Published date: December 2007
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Local EPrints ID: 50026
URI: http://eprints.soton.ac.uk/id/eprint/50026
ISSN: 1050-0472
PURE UUID: d026e62e-24d9-4dfe-bd17-9b1a4fdf5424
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Date deposited: 11 Jan 2008
Last modified: 16 Mar 2024 02:53
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A.R. Rao
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