1999
DOI: 10.1016/s0043-1648(99)00196-9
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Numerical prediction of erosion on guide vanes and in labyrinth seals in hydraulic turbines

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Cited by 42 publications
(16 citation statements)
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“…Mack [41] has conducted studies to predict sediment erosion in guide vanes and in labyrinth seals in Francis turbines by Numerical methods. Lagrangian particle tracking methods and k-ε turbulence model with Finnie erosion model was applied.…”
Section: Design and Sediment Erosion Of Guide Vanes Of Francis Turbinesmentioning
confidence: 99%
“…Mack [41] has conducted studies to predict sediment erosion in guide vanes and in labyrinth seals in Francis turbines by Numerical methods. Lagrangian particle tracking methods and k-ε turbulence model with Finnie erosion model was applied.…”
Section: Design and Sediment Erosion Of Guide Vanes Of Francis Turbinesmentioning
confidence: 99%
“…This is very harmful to the turbine. Since the flow detachment influences the normal guidance made by the guide vanes and blades near their tips, thus disturbs the flow at the outlet causing decay of the energy transformation in the runner, efficiency losses and local erosion [17]. Worse, because of wear, the gap will continually increase between guide vanes and wearing plates, which produces an increase of volumetric losses and vortices.…”
Section: Influence Of Gap Clearances On the Internal Leakagementioning
confidence: 99%
“…7 [17]. However, as a type of non-contact seal, the space between the crown and upper cover is filled with highpressure water, which results in a high disk friction loss.…”
Section: Influence Of Gap Clearances On the Internal Leakagementioning
confidence: 99%
“…10. Calculation of the flow paths of entrained solid particles for the assessment of hydro-abrasive wear, [55]. The momentum equations of the solid particles are solved in addition to the Navier-Stokes equations yielding the impingement angles and velocities of the solids on the structural surfaces which bound the flow domain.…”
Section: Prediction Of the Partload Characteristic Stage Calculationmentioning
confidence: 99%