Biobjective design optimization for axial compressors using tabu search

Journal article (2008)

Authors

Timoleon Kipouros University of Cambridge
Daniel M. Jaeggi University of Cambridge
William N. Dawes University of Cambridge
Geoffrey T. Parks University of Cambridge
A. Mark Savill Cranfield University
P.J. Clarkson University of Cambridge
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Published Date

2008-3

Language

English

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Abstract

At present, optimization is an enabling technology in innovation. Multi-objective and multidisciplinary optimization tools are essential in the design process for real-world applications. In turbomaehinery design, these approaches give insight into the design space and identify the tradeoffs between the competing performance measures. This paper describes the application of a novel multi-objective variant of the tabu search algorithm to the aerodynamic design optimization of turbomachinery blades. The aim is to improve the performance of a specific stage and eventually of the whole engine. The integrated system developed for this purpose is described. It combines the optimizer with an existing geometry parameterization scheme and a well-established computational fluid dynamics package. Its performance is illustrated through a case study in which the flow characteristics most important to the overall performance of turbomachinery blades are optimized.