Inverse Calculation Analysis of Sediment Wear of Francis Turbine Based on Solid-liquid Two-phase Flow
DOI:
https://doi.org/10.13052/dgaej2156-3306.4032Keywords:
Mixed-flow turbine, sediment wear, CFD, two-phase flowAbstract
A hydropower station is located in the western region of Xinjiang, and the river it is located on has high sediment content, high hardness, and large grain size, leading to serious abrasion of the hydropower station’s turbine. After each flood season, the lower ring and the outlet edge of the turbine blades are seriously worn through, resulting in a shortened maintenance cycle, increased operation and maintenance costs, and a decline in the safety and stability of the turbine operation. The research on the anti-abrasion technology of the hydropower station’s turbine is aimed at establishing a model to estimate the degree of turbine abrasion by sediment. On the one hand, an instrument based on dual-beam infrared scattering light inverse projection imaging technology for monitoring sediment content in the water intake before the turbine, along with a related data management platform, has been installed. This system enables real-time and automatic monitoring of sediment content in the water flowing through the turbine. On the other hand, a two-phase flow numerical simulation based on the Euler-Lagrangian framework is conducted for the entire flow channel to investigate the distribution of wear and the extent of sediment-induced wear on the turbine under varying sediment. This paper focuses on the abrasion characteristics and change of the turbine blades, upper crown clearance, and lower ring clearance at different sediment contents. The results indicate that the wear is primarily concentrated on the lower ring, the blade surfaces adjacent to the lower ring, and the turbine-side region of the lower ring clearance. Additionally, significant wear is observed in the draft tube elbow bottom, the upstream side of the conical pipe, the tongue of the draft tube, the leading edge of the guide vane, and the portion of the seat ring near the draft tube tongue. As the sediment mass flow rate increases, both the extent and the spatial distribution of wear at these locations significantly intensify. The average wear rate on the surface of the turbine blades increases approximately linearly with the sediment mass flow rate. Regarding the wear on the blade surfaces near the lower ring, it is not only associated with the high flow velocity but may also be attributed to the vortex phenomenon induced by flow separation near the blade region.
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References
X. Liu, Y. Zeng, H. Hua, et al. ‘Study on wear of turbine blade leaf of Shuzicui hydroelectric turbine due to sediment abrasion[J]’. Journal of Xihua University (Natural Science Edition), 2020, 39(05):67–73.
L. Xu, L. Cao, L. D. Liu, et al. ‘Comprehensive stability analysis of complex hydropower system under flexible operating conditions based on a fast stability domain solving method[J]’, Energy, 2023, 274: 127368.
R. Nagaraj, D. Murthy and M. Rajput. ‘Modeling renewables based hybrid power system with desalination plant load using neural networks[J]’. Distributed Generation & Alternative Energy Journal, 2019, 34(1), 32–46.
Z. Qian, Q. Zhong, X. Zeng, et al. ‘Optimization design of anti-sand wear blades for Francis turbine[J]’. Journal of Hydraulic Engineering, 1–12.
Z. Zhang, S. Yang, Y. Peng. ‘Analysis and prediction of sedimentation status of Karabeyli reservoir in Xinjiang: current situation and future prospects[J]’. Journal of China Institute of Water Resources and Hydropower Research, 2024, 22(04): 377–386.
L. Lu, L. Pan, Z. Peng, et al. ‘Construction and application of the research and development platform for hydraulic machinery[J]’. Journal of China Institute of Water Resources and Hydropower Research, 2019, 17(06): 432–438 +
J. Huang, L. Zhang, Y. Ji, et al. ‘Numerical simulation of two-phase turbulent flow field in hydro turbine wearing by sand[J]’. Journal of Irrigation and Drainage Mechanical Engineering, 2016, 34(02): 145–150.
M. Manas. ‘Optimization of distributed generation based hybrid renewable energy system for a DC Micro-Grid using particle swarm optimization[J]’. Distributed Generation & Alternative Energy Journal, 2018, 33(4), 7–25.
L. Lu, Z. Peng, X. Wang, et al. ‘Development of hydraulic machinery research field[J]’. Journal of China Institute of Water Resources and Hydropower Science and Engineering, 2018, 16(5): 442–450.
L. Lu, Z. Gao, L. Pan, et al. ‘Development and review of hydraulic and electromechanical research field in the past 50 years[J]’. Journal of China Institute of Water Resources and Hydropower Science and Engineering, 2008, (4):100–110.
R. Zhang. ‘Study on sediment wear of turbine guide vanes based on CFD[J]’. Yunnan Hydropower, 2023, 39(01): 224–227.
X. Ge, J. Su, Y. Li, et al. ‘Numerical simulation of sediment wear characteristics of the jet mechanism of impulse turbine[J]’. Journal of Hydraulic Engineering, 2020, 51(12): 1486–1494.
G. Yang. ‘Discussion on the measures and approaches to reduce wear and corrosion of hydro turbine by sediment[J]’. Small Hydropower, 2021, (2): 63–65.
L. Li. ‘Numerical simulation and wear prediction of two-phase flow in mixed-flow turbine and its application[D]’. Xihua University, 2015.
X. Luo, Z. Ge, G. Zhu, et al. ‘Technological advances and trends in impact hydro turbines[J]’. Journal of Hydropower Engineering, 2023, 42(02): 116–134.
X. Ge, J. Sun, J. Cai, et al. ‘Study on the impact of erosion on the water-catching profile and performance of water-wheel turbine[J]’. Proceedings of the CSEE, 2021, 41(21): 7391–7403.
G. Zhang, X. Wei. ‘Numerical analysis of the influence of sediment concentration and particle size on the internal flow of a hydro turbine wheel[J]’. Journal of Agricultural Engineering, 2014, 30(23): 94–100+340.
A. Naman, K. Arun, S. Sunil. ‘Technological advancement in measurements of suspended sediment and hydraulic turbine erosion[J]’. Measurement, 2022, 190.
J. Huang, L. Zhang, J. Yao, et al. ‘Numerical simulation of two-phase turbulent flow field in hydraulic turbine wear by sand[J]’. Journal of Irrigation and Drainage Mechanical Engineering, 2016, 34(02): 145–150.
G. Sun, Y. Zhang, R. Zhang, et al. ‘Numerical prediction and analysis of abrasion of mixed flow turbine in high sediment water flow[J]’. Journal of Drainage and Irrigation Mechanical Engineering, 2022, 40(12): 1197–1203+1226.
J. Liao, X. Lai, X. Zhang. ‘The impact of sediment diameter and concentration on the internal flow field of a mixed-flow turbine runner[J]’. Journal of Hydropower Engineering, 2017, 36(05): 88–94.
S. Ou, X. Liu, Y. Zeng, et al. ‘Numerical analysis of sediment concentration inside hydro turbine runner[J]’. Hydroelectric Power, 2014, 40(07): 67–70.
X. Si, Z. Yong, L. Xiao. ‘Simulation and experimental study of sediment wear on fixed guide vanes of a certain type of hydroturbine based on DPM model[J]’. Hydroelectric Power, 2021, 47(6): 80–83.

