2017
DOI: 10.24247/ijmperdjun201727
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Correlation Development for Erosive Wear Rate on Pelton Turbine Buckets

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Cited by 9 publications
(5 citation statements)
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“…Due to its higher molybdenum content, it is suitable for marine environments as it improves the ability to resist pitting corrosion in environments with chloride-like seawater. Numerous investigators are studying the ideal material for turbines to resist erosion and wear [ 119 , 120 ]. Usually, stainless steel has been the material of choice for hydropower turbines.…”
Section: Methodsmentioning
confidence: 99%
“…Due to its higher molybdenum content, it is suitable for marine environments as it improves the ability to resist pitting corrosion in environments with chloride-like seawater. Numerous investigators are studying the ideal material for turbines to resist erosion and wear [ 119 , 120 ]. Usually, stainless steel has been the material of choice for hydropower turbines.…”
Section: Methodsmentioning
confidence: 99%
“…Later, based on this test, these scholars further studied the relationship between efficiency loss and erosion parameters and obtained a correlation expression and error range of ±10% [6]. Thakur et al [71] also studied the factors influencing bucket erosion using similar devices and research methods. The device is shown in Figure 9, and the error between the erosion model and experimental data was within ± 12.8%.…”
Section: Pelton Turbine Test Rigmentioning
confidence: 99%
“…Dynamic mesh technology was used in the simulation process, making the numerical simulation closer to engineering practice. Thakur et al [71] analyzed the deformation of a runner using the finite element method. They observed that the deformation of the splitter and cutout was the largest, which was consistent with the field experiment (Figure 17).…”
Section: Numerical Simulations Of Sediment Erosionmentioning
confidence: 99%
“…Erosive wear followed a power law ( W n V ) w.r.t stream velocity. Maximum erosion was observed at the splitter and notch of the bucket [26]. Kumar and Varshney (2015) analyzed the estimation of silt erosion in the hydro turbine.…”
Section: Numerical and Experimentalmentioning
confidence: 99%