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Prediction model of stall evolution stages in a centrifugal impeller based on characteristic analysis of the hydraulic torque of blades and support vector machine

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Abstract

If a centrifugal impeller is in deep stall, it requires a large amount of additional energy to break free. As such, it is crucial to study the prediction method of impeller stall and establish its relationship with force and torque. This study employs a computational fluid dynamics numerical simulation method to analyze the flow field within the impeller of a centrifugal pump, while monitoring the changes in hydraulic torque of the blades. By examining the impeller’s internal flow field characteristics and external (energy performance) characteristics curves under different working conditions, the stall process was classified into three stages: germination, transition and stabilization. The evolution of stall cells under different stall stages was also analyzed. We utilized time-frequency conversion and analysis to extract characteristic parameters from instantaneous hydraulic torque results generated under different working conditions. A more effective model for predicting impeller stall stages was built by virtue of support vector machine algorithm. The proposed model exhibits improved feasibility and effectiveness in comparison to traditional prediction methods. It is expected to have significant implications for stable operation monitoring and safety protection of centrifugal pumps.

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Acknowledgments

The study was financially supported by the National Natural Science Foundation of China (Grant No. 52179093).

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Authors and Affiliations

  1. College of Water Resources and Civil Engineering, China Agricultural University, Beijing, 100083, China

    Luan Shi, Zhuqing Liu, Wei Yang, Yaojun Li, Xiaodong Liu & Ran Tao

  2. College of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China

    Zhuqing Liu

  3. Beijing Engineering Research Center of Safety and Energy Saving Technology for Water Supply Network System, China Agricultural University, Beijing, 100083, China

    Wei Yang, Yaojun Li & Ran Tao

Authors
  1. Luan Shi
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  2. Zhuqing Liu
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  3. Wei Yang
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  6. Ran Tao
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Corresponding author

Correspondence to Zhuqing Liu.

Additional information

Luan Shi is a master in College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China. His research interests include research on the monitoring method of stall state in centrifugal pump.

Zhuqing Liu is a Professor in College of Water Resources and Civil Engineering, China Agricultural University, Beijing, China. His research interests include flow measurement and numerical simulation research in fluid machinery.

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Shi, L., Liu, Z., Yang, W. et al. Prediction model of stall evolution stages in a centrifugal impeller based on characteristic analysis of the hydraulic torque of blades and support vector machine. J Mech Sci Technol 37, 5185–5198 (2023). https://doi.org/10.1007/s12206-023-0921-8

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