Casing treatment (CT) has the potential to extend the stable operating range of a centrifugal compressor.A multi-objective optimization method is proposed to optimize the CT of centrifugal compressors.The method consists of Kriging metamodel,Genetic Algorithm (GA),data-mining techniques and CFD code.Firstly,data-mining techniques are used to analyze the initial design space.The correlations between design variables and objectives are extracted,resulting in a refined design space.Then,the global optimization of CT is conducted by GA based on data-mining results.After optimization,the performance of the centrifugal compressor shows a considerable improvement over the whole speed line.The isentropic efficiency increases by 2.05％,and the stall margin improves by 7.11％.Finally,the mechanism behind the performance improvement is further clarified by detailed flow analysis.
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