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, whereas 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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December 2007
Technical Briefs
Applying Multiobjective Cost and Weight Optimization to the Initial Design of Turbine Disks
A. R. Rao,
A. R. Rao
Postgraduate research student
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UK
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J. P. Scanlan,
J. P. Scanlan
Professor of Design
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UK
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A. J. Keane
A. J. Keane
Professor of Computational Engineering Director
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UK
Search for other works by this author on:
A. R. Rao
Postgraduate research student
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UK
J. P. Scanlan
Professor of Design
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UK
A. J. Keane
Professor of Computational Engineering Director
Rolls-Royce University Technology Partnership for Design, CEDG, School of Engineering Sciences,
University of Southampton
, Hants SO17 1BJ, UKJ. Mech. Des. Dec 2007, 129(12): 1303-1310 (8 pages)
Published Online: February 13, 2007
Article history
Received:
May 24, 2006
Revised:
February 13, 2007
Citation
Rao, A. R., Scanlan, J. P., and Keane, A. J. (February 13, 2007). "Applying Multiobjective Cost and Weight Optimization to the Initial Design of Turbine Disks." ASME. J. Mech. Des. December 2007; 129(12): 1303–1310. https://doi.org/10.1115/1.2779899
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