Stochastic axial compressor variable geometry schedule optimisation

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dc.contributor.author Gallar, L. -
dc.contributor.author Arias, M. -
dc.contributor.author Pachidis, Vassilios -
dc.contributor.author Singh, R. -
dc.date.accessioned 2011-10-31T23:02:25Z
dc.date.available 2011-10-31T23:02:25Z
dc.date.issued 2011-07-01T00:00:00Z -
dc.identifier.issn 1270-9638 -
dc.identifier.uri http://dx.doi.org/10.1016/j.ast.2010.08.010 -
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/5787
dc.description.abstract The design of axial compressors is dictated by the maximisation of flow efficiency at on design conditions whereas at part speed the requirement for operation stability prevails. Among other stability aids, compressor variable geometry is employed to rise the surge line for the provision of an adequate surge margin. The schedule of the variable vanes is in turn typically obtained from expensive and time consuming rig tests that go through a vast combination of possible settings. The present paper explores the suitability of stochastic approaches to derive the most flow efficient schedule of an axial compressor for a minimum variable user defined value of the surge margin. A genetic algorithm has been purposely developed and its satisfactory performance validated against four representative benchmark functions. The work carries on with the necessary thorough investigation of the impact of the different genetic operators employed on the ability of the algorithm to find the global extremities in an effective and efficient manner. This deems fundamental to guarantee that the algorithm is not trapped in local extremities. The algorithm is then coupled with a compressor performance prediction tool that evaluates each individual's performance through a user defined fitness function. The most flow efficient schedule that conforms to a prescribed surge margin can be obtained thereby fast and inexpensively. Results are produced for a modern eight stage high bypass ratio compressor and compared with experimental data available to the research. The study concludes with the analysis of the existent relationship between surge margin and flow efficiency for the particular compressor under scrutiny. The study concludes with the analysis of the existent relationship between surge margin and flow efficiency for the particular compressor under scrutiny. en_UK
dc.publisher Elsevier Science B.V., Amsterdam. en_UK
dc.subject Axial compressor en_UK
dc.subject Compressor performance en_UK
dc.subject Genetic algorithm en_UK
dc.subject Optimisation en_UK
dc.subject Variable geometry en_UK
dc.title Stochastic axial compressor variable geometry schedule optimisation en_UK
dc.type Article -


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