Multi-objective optimisation of turbomachinery blades using tabu search

  • Authors:

  • Timoleon Kipouros;Daniel Jaeggi;Bill Dawes;Geoff Parks;Mark Savill

  • Affiliations:

  • Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, United Kingdom;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, United Kingdom;Computational Fluid Dynamics Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom;Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, United Kingdom;Computational Aerodynamic Design Group, Department of Aerospace Sciences, Cranfield University, Cranfield, United Kingdom

  • Venue:
  • EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
  • Year:
  • 2005

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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.