2016
DOI: 10.1016/j.powtec.2016.02.030
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Numerical simulation of solid particle erosion in pipe bends for liquid–solid flow

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Cited by 151 publications
(37 citation statements)
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“…The selected turbulence model is established on the basis of the computational demands and decently accurate predicted flow phenomenon proposed by Xie et al 23 In addition, the re-normalization group (RNG) k-e is widely employed to deal with the flow turbulence in elbow erosion. 14,24,25 Then, the equations of the model are expressed as follows…”
Section: Mathematical Theorymentioning
confidence: 99%
“…The selected turbulence model is established on the basis of the computational demands and decently accurate predicted flow phenomenon proposed by Xie et al 23 In addition, the re-normalization group (RNG) k-e is widely employed to deal with the flow turbulence in elbow erosion. 14,24,25 Then, the equations of the model are expressed as follows…”
Section: Mathematical Theorymentioning
confidence: 99%
“…However, it cannot tell when it is the best to accelerate to abrasive mode to erode the rock and coal, because abrasive acceleration relates not only to gas velocity but also to gas density, viscosity, temperature, pressure gradient, etc. [26][27][28][29]. Furthermore, the inlet pressure is critical to abrasive acceleration and velocity, because it determines the expansion state of the gas jet.…”
Section: Further Optimizing the Laval Nozzlementioning
confidence: 99%
“…The flow model was selected over the k ε turbulent model and others, because of its accuracy in predicting flow features around region with strong streamline curvature and relatively low computational time (Yan et al, 2017). Peng and Cao (2016) predicted the velocity distribution in a 45°, 90°, and 180° pipe bend. From the study, the fluid flow velocity profile was largely influenced by the shape of the pipe.…”
Section: Introductionmentioning
confidence: 99%
“…Notwithstanding, the identification of the erosion hotspot is largely dependent on the pipe bend angle. Analysis of predicting erosion hotspots for different pipe bend is important (Peng and Cao, 2016).…”
Section: Introductionmentioning
confidence: 99%