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March 26, 2026The Proceedings of Mechanical Engineering Congress Japan0 citationsOpen Access

Consideration of prediction methods for cavitation surge using 1D-3D coupling analysis

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KKKazuki KodamaMHMizuki HamaguchiKMKazuyoshi Miyagawa

Key Points

  • To evaluate the effectiveness of 1D-3D coupled analysis in predicting cavitation surge in hydro turbines.
  • Developed a test apparatus incorporating a venturi tube for experiments.
  • Compared results from conventional CFD analysis with those from 1D-3D coupled analysis.
  • Measured changes in oscillation amplitude and frequency of cavitation volume.
  • 1D-3D coupled analysis improved the prediction of cavitation volume oscillation compared to conventional methods.
  • Oscillation frequency of cavitation volume was influenced by the one-dimensional model's characteristics.
  • The effect of tank compliance on oscillation dynamics was found to be significant.

Abstract

Cavitation surge may occur in the draft tube of a hydro turbine under overload conditions. As a prediction method, we proposed the method combining one-dimensional analysis and CFD (hereinafter referred to as “1D-3D coupled analysis”). We compared the results of experiments using a test apparatus incorporating the venturi tube with the results of conventional analysis methods using CFD alone and 1D-3D coupled analysis. The results confirmed changes in the oscillation amplitude and frequency of cavitation volume through 1D-3D coupled analysis. The moment when the cavitation volume became zero, which was observed in the conventional analysis, was improved by 1D-3D coupled analysis, but it was found that this was due to the boundary conditions. However, the influence of the one-dimensional model was observed in terms of oscillation frequency of the cavitation volume. Among the factors influenced by the one-dimensional model, the mass and compliance of the tanks were considered, but analytical examination revealed that the effect of compliance was dominant.

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Cite This Study

Kodama et al. (2025) studied this question.

synapsesocial.com/papers/69c4cc98fdc3bde448917ff4https://doi.org/10.1299/jsmemecj.2025.j091p-16
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