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Applying multiobjective cost and weight optimization to the initial design of turbine disks

Record type: Article

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 hte 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 anaylsis is carried out in the Rolls-Royce PLC proprietary solver SC03. A multiobjective optimization apprach 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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Citation

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), pp. 1303-1310. (doi:10.1115/1.2779899).

More information

Published date: December 2007

Identifiers

Local EPrints ID: 50026
URI: http://eprints.soton.ac.uk/id/eprint/50026
ISSN: 1050-0472
PURE UUID: d026e62e-24d9-4dfe-bd17-9b1a4fdf5424

Catalogue record

Date deposited: 11 Jan 2008
Last modified: 17 Jul 2017 14:54

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