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Erosion estimation of guide vane end clearance in hydraulic turbines with sediment water flow

Wei Han

http://orcid.org/0000-0001-5340-7558

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

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

E-mail Address: hanwei@lut.cn

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Jingbo Kang

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

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

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Jie Wang

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

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

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Guoyi Peng

Nihon University, Tokyo, Japan

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Lianyuan Li

University of Leicester, Leicester, UK

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, and

Min Su

College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China

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https://doi.org/10.1142/S0217984918501002Cited by:3 (Source: Crossref)

Abstract

The end surface of guide vane or head cover is one of the most serious parts of sediment erosion for high-head hydraulic turbines. In order to investigate the relationship between erosion depth of wall surface and the characteristic parameter of erosion, an estimative method including a simplified flow model and a modificatory erosion calculative function is proposed in this paper. The flow between the end surfaces of guide vane and head cover is simplified as a clearance flow around a circular cylinder with a backward facing step. Erosion characteristic parameter of $c_{s} w_{s}^{3}$ is calculated with the mixture model for multiphase flow and the renormalization group (RNG) k– $𝜀$ turbulence model under the actual working conditions, based on which, erosion depths of guide vane and head cover end surfaces are estimated with a modification of erosion coefficient K. The estimation results agree well with the actual situation. It is shown that the estimative method is reasonable for erosion prediction of guide vane and can provide a significant reference to determine the optimal maintenance cycle for hydraulic turbine in the future.

Keywords:

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