Optimization Design for the Diffuser Vanes of a Transonic Centrifugal Compressor Based on the XGBoost Algorithm [基于机器学习XGBoost算法的跨音速离心压气机扩压器气动优化设计]

作者：Li Q.-K.; Zhang Z.-Q.; Zhang Y.-J.; Han G.; Zhang Y.-F.; Lu X.-G.

来源：Journal of Engineering Thermophysics, 2021, 42(8): 1970-1978.

• Centrifugal compressor
• Diffuser vane
• Machine learning
• Parametric blade design
• XGBoost

A transonic centrifugal compressor with vaned diffusers is numerically studied in this paper, and the parametric method and the optimized procedure for the vaned diffusers are proposed, which were optimized by XGboost and Global optimization algorithms. The result of this study show that the comparing with the other surrogate models, this method can obtain the global minima with less iterations and its accuracy is comparable with that of the CFD results. Optimizations with the method showed that for the same diffuser inlet and outlet radius, the pressure ratio of the compressor almost kept unchanged, but the peak stage efficiency was increased by 1.03%, and the surge margin was increased by 4.79%. Furthermore, the channel flow of the optimized diffuser is analyzed, and the influence of different design parameters on the centrifugal compressor is discussed, which provides guidance and reference for the design and optimization of the similar transonic centrifugal compressor with vaned diffusers.

• 单位
  中国科学院大学