作者：李孝检; 刘正先; 左盼centrifugalcompressorcasingtreatmentoptimization
摘要：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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