Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search

Date

2005-01-01T00:00:00Z

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Springer-verlag

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Article

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0302-9743

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Citation

Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoff Parks, Mark Savill, Multi- objective Optimisation of Turbomachinery Blades Using Tabu Search, Lecture Notes in Computer Science, Volume 3410, Jan 2005, Pages 897 - 910

Abstract

This paper describes the application of a new multi-objective integrated turbomachinery blade design optimisation system. The system combines an existing geometry parameterisation scheme, a well-established CFD package and a novel multi-objective variant of the Tabu Search optimisation algorithm. Two case studies, in which the flow characteristics most important to the overall performance of turbomachinery blades are optimised, are investigated. Results are presented and compared with a previous (single-objective) investigation of the problem.

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