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For marine low-speed turbochargers, large flow rate and high efficiency are the inevitable development directions. In this paper, taking the axial-flow turbine blade of exhaust turbochargers as the research subject, an integrated optimization design (IOD) for axial-flow turbines based on the Kriging model and the multi-objective White Shark Optimizer (MO-WSO) is proposed to optimize the large-flow and high-aspect-ratio axial-flow turbine blade. Firstly, the turbine blade satisfying the strength is designed based on the working parameters, and the fluid-solid coupling strength analysis is carried out on the turbine blade to obtain the stress distribution on the turbine blade. Secondly, five geometric parameters of blade that affect the aerodynamic performance and strength of the turbine blade are taken as the design variables, and the overall static efficiency and the maximum stress are taken as the optimization objectives to build the Kriging response surface model, and the response surface results between the design variables are obtained. Then, MO-WSO is proposed to optimize the design parameters. Finally, through experimental analysis, the overall static efficiency of the optimized turbine blade is increased by 1.39% while satisfying the strength, and the aerodynamic performance of the turbine is significantly improved.

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Integrated Optimization Design of Axial-Flow Turbine Based on Kriging Model and White Shark Optimizer

  • 会议论文

  • 发表日期：

    2026年

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  • Guopan Xu,
  • Yuxin Zhu,
  • Jiahong Zhong,
  • Yuchuan Song,
  • Yunfan Yang,
  • Guantong Chen

摘要

For marine low-speed turbochargers, large flow rate and high efficiency are the inevitable development directions. In this paper, taking the axial-flow turbine blade of exhaust turbochargers as the research subject, an integrated optimization design (IOD) for axial-flow turbines based on the Kriging model and the multi-objective White Shark Optimizer (MO-WSO) is proposed to optimize the large-flow and high-aspect-ratio axial-flow turbine blade. Firstly, the turbine blade satisfying the strength is designed based on the working parameters, and the fluid-solid coupling strength analysis is carried out on the turbine blade to obtain the stress distribution on the turbine blade. Secondly, five geometric parameters of blade that affect the aerodynamic performance and strength of the turbine blade are taken as the design variables, and the overall static efficiency and the maximum stress are taken as the optimization objectives to build the Kriging response surface model, and the response surface results between the design variables are obtained. Then, MO-WSO is proposed to optimize the design parameters. Finally, through experimental analysis, the overall static efficiency of the optimized turbine blade is increased by 1.39% while satisfying the strength, and the aerodynamic performance of the turbine is significantly improved.