Stochastic Modeling of Cavitation Erosion in Francis Runner

Quentin Chatenet; Martin Gagnon; Laurent Tôn-Thât; Emmanuel Remy; Mitra Fouladirad; Antoine Tahan

doi:10.5293/IJFMS.2020.13.2.400

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자료유형: 학술저널

저자정보: Quentin Chatenet (École de Technologie Supérieure) Martin Gagnon (Institut de Recherche d"Hydro-Québec) Laurent Tôn-Thât (Institut de Recherche d"Hydro-Québec) Emmanuel Remy (EDF R&D) Mitra Fouladirad (Université de Technologie de Troyes) Antoine Tahan (École de Technologie Supérieure)

저널정보: 한국유체기계학회 International Journal of Fluid Machinery and Systems International Journal of Fluid Machinery and Systems Vol.13 No.2

발행연도: 2020.6

수록면: 400 - 408 (9page)

DOI: 10.5293/IJFMS.2020.13.2.400

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Reaction turbines, of which Francis turbines, constitute a large proportion of low and medium head turbines installed in hydropower plants. Managing these machines represents a real challenge in terms of efficiency, competitiveness and demands on the energy market. Turbines runner blades exhibit loss of performance from damage due to several reasons. One common source of damage is erosion due to the cavitation phenomenon. Indeed, at a given operating region, rapid changes of velocity can create bubbles in the water flow due to local low pressures. When cavitation bubbles reach pressure recovery, they collapse and may induce wear or erosion in these regions. Even if this phenomenon has been intensively studied in the past decades, cavitation erosion is not fully understood as it is driven by several parameters such as flow dynamic, turbine design, environment, or material properties. Some of these parameters can be studied in laboratory to compare materials resistance between each other. This article aims to model the cavitation by a stochastic model using erosion experimental data observed in the laboratory. The benefit of such models is to consider both the uncertainties and natural fluctuations of the phenomenon. With the proposed framework, the study will highlight the differences observed in cavitation erosion experiments of two common materials used to manufacture Francis’s runners. This study is the first step in a project aiming at the prediction of turbines mass loss due to cavitation erosion on actual operating Francis turbines.

#stochastic model #cavitation resistance #gamma process #vibratory cavitation experiment #erosive degradation

참고문헌 (15)

참고문헌 신청

Alligne S / 2014 / Cavitation surge modelling in Francis turbine draft tube / Journal of Hydraulic Research (52):399~411

Escaler X / 2006 / Detection of cavitation in hydraulic turbines / Mechanical systems and signal processing (20):983~1007

Celebioglu K / 2017 / Numerical research of cavitation on Francis turbine runners / International Journal of Hydrogen Energy (42):17771~17781

Brennen C E / 2014 / Cavitation and bubble dynamics / Cambridge University Press

Krumenacker L / 2014 / Numerical estimation of cavitation intensity / IOP Conference Series: Earth and Environmental Science 22:052014

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