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.
Keywords
- Tabu Search
- Pareto Front
- Entropy Generation
- Design Vector
- Entropy Generation Rate
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Kipouros, T., Jaeggi, D., Dawes, B., Parks, G., Savill, M. (2005). Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search. In: Coello Coello, C.A., Hernández Aguirre, A., Zitzler, E. (eds) Evolutionary Multi-Criterion Optimization. EMO 2005. Lecture Notes in Computer Science, vol 3410. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31880-4_62
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DOI: https://doi.org/10.1007/978-3-540-31880-4_62
Publisher Name: Springer, Berlin, Heidelberg
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