2017
DOI: 10.1016/j.wear.2016.11.042
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Computational study of the particle size effect on a jet erosion wear device

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Cited by 32 publications
(12 citation statements)
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“…The second stage of the work was improving the profile of the runner blade. Aponte et al [20] performed CFD analysis to predict erosion by hard particles. They used the experimental data to determine the coefficients for the Tabakoff-Grant erosion model.…”
Section: Cfd Workmentioning
confidence: 99%
“…The second stage of the work was improving the profile of the runner blade. Aponte et al [20] performed CFD analysis to predict erosion by hard particles. They used the experimental data to determine the coefficients for the Tabakoff-Grant erosion model.…”
Section: Cfd Workmentioning
confidence: 99%
“…In this paper, four representative impact angles of 30 , 45 , 60 , and 90 were selected for testing. 20,23,31,[41][42][43] For the test, the impact angle was defined as the included angle between the sand incidence direction and the target, as shown in Figure 3. The impact velocity increased from 250 (AE5) m/s to 400 (AE5) m/s at a gradient of 25 (AE5) m/s.…”
Section: Test Methodsmentioning
confidence: 99%
“…Therefore, particles with high density and low shape factor will lead to deep pits and high surface roughness. A computational study of the particle size effect on a jet erosive wear device was proposed by Aponte et al [21]. Their results showed that the erosion rate with smaller particles was affected by fluid; since small particles tend to follow the flow streamlines, while larger particles move according to the conditions imposed by the jet at its outlet.…”
Section: Introductionmentioning
confidence: 99%