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Comparison of several optimisation strategies for robust turbine blade design

Comparison of several optimisation strategies for robust turbine blade design
Comparison of several optimisation strategies for robust turbine blade design
This paper addresses the problem of turbine blade shape optimization in the presence of geometric uncertainties. Several strategies are tested and compared on a two-dimensional compressor blade optimization process for which performance is assessed using a commercial Reynolds-averaged Navier-Stokes computational fluid dynamics code. In each case, a range of shape errors are considered that attempt to simulate foreign object damage, erosion damage, and manufacturing errors. These lead to stochastic performance measures that, in turn, are considered in a multi-objective optimization framework. Because of the long run times associated with Reynolds-averaged Navier-Stokes codes, use is also made of surrogate or response surface-based optimization methods to speed up the search processes. The paper shows that a range of techniques can be used to tackle this problem, but that no one method is clearly best overall. The practitioner is therefore cautioned against favoring a single approach for such design problems. Further research may help clarify these issues
0748-4658
1092-1099
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def

Keane, Andy J. (2009) Comparison of several optimisation strategies for robust turbine blade design. Journal of Propulsion and Power, 25 (5), 1092-1099. (doi:10.2514/1.38673).

Record type: Article

Abstract

This paper addresses the problem of turbine blade shape optimization in the presence of geometric uncertainties. Several strategies are tested and compared on a two-dimensional compressor blade optimization process for which performance is assessed using a commercial Reynolds-averaged Navier-Stokes computational fluid dynamics code. In each case, a range of shape errors are considered that attempt to simulate foreign object damage, erosion damage, and manufacturing errors. These lead to stochastic performance measures that, in turn, are considered in a multi-objective optimization framework. Because of the long run times associated with Reynolds-averaged Navier-Stokes codes, use is also made of surrogate or response surface-based optimization methods to speed up the search processes. The paper shows that a range of techniques can be used to tackle this problem, but that no one method is clearly best overall. The practitioner is therefore cautioned against favoring a single approach for such design problems. Further research may help clarify these issues

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Published date: 8 July 2009

Identifiers

Local EPrints ID: 71672
URI: http://eprints.soton.ac.uk/id/eprint/71672
ISSN: 0748-4658
PURE UUID: 4f8b3b81-6e2a-479c-95b7-09c07161d0cf
ORCID for Andy J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

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Date deposited: 17 Dec 2009
Last modified: 14 Mar 2024 02:39

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