You are currently viewing a new version of our website. To view the old version click .
Machines
  • This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
  • Article
  • Open Access

7 November 2025

Prediction of Component Erosion in a Francis Turbine Based on Sediment Particle Size

,
,
,
and
1
College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225012, China
2
Fluid Machinery and Engineering Key Laboratory of Sichuan Province, Xihua University, Chengdu 610097, China
3
Dongtai City Qindong Township Water Station, Yancheng 224200, China
4
General Irrigation Canal Management Office of Jiangsu Province, Huai’an 223000, China
Machines2025, 13(11), 1030;https://doi.org/10.3390/machines13111030 
(registering DOI)
This article belongs to the Special Issue Advanced Research and Development in Fluid Machinery: Design, Optimization, and Applications

Abstract

Erosion caused by sediment-laden flow significantly affects the efficiency and durability of Francis turbines. In this study, the Euler–Lagrange multi-phase flow model was employed to simulate solid-liquid two-phase flow with different sediment particle sizes to analyze erosion characteristics in turbine components. The results show that the maximum erosion rate of the runner blades is positively correlated with particle impact velocity, confirming that impact velocity is the dominant factor influencing local material removal. The total erosion rate of the runner blades, guide vanes, and draft tube corresponds closely with vorticity, indicating that vortex-induced flow separation accelerates particle–wall collisions and intensifies erosion. Both vorticity and erosion exhibit a nonlinear variation with particle size, reaching a minimum at 0.05 mm. These findings establish clear qualitative and quantitative relationships between erosion and key flow parameters, providing theoretical guidance for understanding and mitigating sediment-induced wear in Francis turbines.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.