Volume 37 Issue 3
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JIANG Bingxiao, YANG Junhu, WANG Xiaohui, SHI Fengxia, MAO Shiyu. Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method[J]. Journal of Aerospace Power, 2022, 37(3): 629-638. doi: 10.13224/j.cnki.jasp.20210143
Citation: JIANG Bingxiao, YANG Junhu, WANG Xiaohui, SHI Fengxia, MAO Shiyu. Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method[J]. Journal of Aerospace Power, 2022, 37(3): 629-638. doi: 10.13224/j.cnki.jasp.20210143
shu

Optimization of twisted blade of centrifugal pump based on high dimensional machine learning method

doi: 10.13224/j.cnki.jasp.20210143
  • 1.

    College of Energy and Power Engineering，Lanzhou University of Technology，Lanzhou 730050，China

  • 2.

    Key Laboratory of Fluid Machinery and Systems of Gansu Province，Lanzhou University of Technology，Lanzhou 730050，China

  • Received Date: 2021-04-06
  • Publish Date: 2022-03-28
    Abstract
  • The combination of high dimensional model representation （HDMR） and support vector machine （SVM） in machine learning was proposed to optimize the twisted blade of centrifugal pump．A centrifugal pump with medium specific speed was selected as the research object．The three blade profiles of twisted blade were parameterized，the control variables were separated and the training space of surrogate model was determined.After algorithm learning of the hydraulic models of the twisted blade of the centrifugal pump，the surrogate model of the centrifugal pump with the blade profile parameters as the independent variables and the efficiency as the objective function was obtained．The prediction results of the surrogate model were verified by numerical simulation and experiment.The change of flow field in twisted blade impeller before and after optimization was analyzed from the view of kinetic energy equation．The results showed that at the design operating point，the numerical simulation efficiency of the optimized twisted blade centrifugal pump was 1.72% higher than that of the prototype pump，and the head was 0.41 m higher；the test efficiency was 1.5% higher than that of the prototype pump，and the head was 0.35 m higher than that of the prototype pump.

     

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