Multi-objective optimisation of turbomachinery blades using Tabu Search
Loading...
Date published
Free to read from
Authors
Kipouros, Timoleon
Jaeggi, Daniel
Dawes, Bill
Parks, Geoff
Savill, Mark A.
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Department
Course name
Type
ISSN
0302-9743
Format
Citation
Kipouros T, Jaeggi D, Dawes B, et al., (2005) Multi-objective optimisation of turbomachinery blades using Tabu Search. Evolutionary Multi-Criterion Optimization (EMO 2005). Third International Conference, 9-11 March 2005, Guanajuato, Mexico. Lecture Notes in Computer Science, Volume 3410, January 2005, pp. 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.