Unsteady numerical analysis of the liquid-solid two-phase flow around a step using Eulerian-Lagrangian and the filter-based RANS method

Cando, Edgar; Yu, An; Zhu, Lei; Liang, Juan; Lü, Li; Hidalgo, Víctor; Luo, Xu

doi:10.1007/s12206-017-0521-6

Cited by 13 publications

(17 citation statements)

References 21 publications

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“…Then, results have been compared to show the matching of numerical prediction, and their differences. The comparison is based on the methodology proposed by Edgar et al [23].…”

Section: Introductionmentioning

confidence: 99%

Scale-Adaptive Simulation of Unsteady Cavitation Around a Naca66 Hydrofoil

et al. 2019

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The present paper focuses on the numerical simulation of unsteady cavitation around a NACA66 hydrofoil to improve the understanding of the cavitation effects on hydraulic machinery. For this aim, the Zwart–Gerber–Belamri cavitation model was updated and uploaded as a library file for OpenFOAM’s solvers using C++ language. Furthermore, the hybrid Reynold average Navier–Stokes (RANS)–large eddy simulation (LES) model k - ω SST scale adaptive simulation (SAS) was implemented as a turbulence model for the present study of scale adaptive simulation. For validation, numerical results were compared with experimental results obtained by Leroux at the Naval Academy Research Institute in France. In order to highlight the benefits in terms of computational consumption and reproduction of the phenomenon the k - ω SST SAS model was compared against implicit large eddy simulation (ILES). Results show that the cavitation evolution including the maximum vapor length, the detachment and the oscillation frequency were reproduced satisfactorily using k - ω SST SAS. Moreover, k - ω SST SAS results predicted a lower total vapor volume on time than ILES, which is related to observed pulses of pressure coefficient, C p , and those match fairly well with the experimental results. To summarize, the k - ω SST SAS model predicts with good accuracy unsteady cavitation behavior around hydrofoils and shows improved versatility over the ILES approach.

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“…Then, results have been compared to show the matching of numerical prediction, and their differences. The comparison is based on the methodology proposed by Edgar et al [23].…”

Section: Introductionmentioning

confidence: 99%

Scale-Adaptive Simulation of Unsteady Cavitation Around a Naca66 Hydrofoil

et al. 2019

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“…The solid particle injection is applied using the disperse particle method (DPM) with scholastic tracking and Discrete Random Walk model (DRW) to predict the dispersion of particles, due to velocity fluctuation in the liquid phase. The continuity and momentum control equations for continuous phase and discrete phase are introduced in literature [12]. For continuous phase, the government equations do not consider variations in density due to the cavitation phenomenon.…”

Section: Methodsmentioning

confidence: 99%

“…Note that the operation condition is near the best efficiency point for the turbine. The properties of the sand particles used in previous studies [12] was considered in the present study, and the detailed information is shown in the Table 5. Furthermore, the MSF (particle shape factor) is 1.0.…”

Section: Geometry and Conditionsmentioning

confidence: 99%

Sediment Erosion Prediction for a Francis Turbine Based on Liquid-Solid Flow Simulation Using Modified PANS

Cando¹,

Huang²,

Valencia³

et al. 2018

World Congress on Mechanical, Chemical, and Material Engineering

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A challenge in the prediction of the sediment erosion is the proper estimation of the motion and velocity of the solid particles, where Reynolds average Navier-Stokes (RANS) methods show limited resolution to determine the motion of solid phase affected by flow fluctuations. The present study adopts a modified partially averaged-Navier Stokes (PANS) method to analyse the sediment erosion prediction for Francis turbines. Numerical simulations were carried out to obtain liquid-solid two-phase flow information in entire flow passage of a Francis turbine using Eulerian-Lagrangrian approach. The hydraulic performance such as efficiency and discharge of the turbine achieved experimentally, are used to validate the present simulation method. The results show that the modified PANS model can improve the prediction accuracy and the smallest unresolved-to-total ratio of turbulence kinetic energy, fk, decided with the consideration of the difference between local average grid size and smallest grid size shows a slight accuracy improvement. Based on the two-phase flow field, sediment erosion was predicted in stay vane, guide vane and runner using a semi-empirical equation obtained from an erosion experiment of liquid-solid flow. It is noted that higher physical resolution captured by the turbulence model causes a diminution of the sediment erosion predicted. Further, the numerical simulation reveals that sediment erosion in stay vane is lower than guide vane and runner, whereas the highest values of the erosion intensity occurs in the runner. The sediment erosion due to fine solid particles in the turbine is mainly resulted from cutting. However, high sediment erosion due to deformation is also produced at the leading edges of stay vane and guide vane.

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“…According to Fecarotta et al [16], the CFD technique allows modellers to understand the field flows and the operating conditions for PATs with high accuracy and a low cost in comparison to other experiments. Therefore, the continuum considerations used in CFD to solve Navier-Stokes equations (NS) are the most common way to perform numerical simulation for hydraulic machinery [17,18]. However, the experimental part is necessary to calibrate CFD numerical models and to obtain reliable results in PATs under different optimization stages [15,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Applicability of CFD Numerical Studies Applied to Problem When Pump Working as Turbine

Plua

Hidalgo

Jiménez

et al. 2021

Water

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The present research depicts an analysis of the implementation of computational fluid dynamics (CFD) in the study of pumps such as turbines and PATs. To highlight the benefits of CFDs for PAT studies, results from both experimental tests have been compared to better understand the reproduction error phenomena. For this, data analysis used in successful models has been applied to determine variables and parameters, and to report a low relative error. The results show that most of the studies focused on fixed speed rotation with some cases of variable speed rotation. Furthermore, there is not enough information in the academic literature for PAT of axial and mixed flows with fixed and variable speed. Finally, turbulence models based on Reynolds average Navier–Stokes (RANS) have been used to simulate PATs with fixed speed rotation in most cases.

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Unsteady numerical analysis of the liquid-solid two-phase flow around a step using Eulerian-Lagrangian and the filter-based RANS method

Cited by 13 publications

References 21 publications

Scale-Adaptive Simulation of Unsteady Cavitation Around a Naca66 Hydrofoil

Scale-Adaptive Simulation of Unsteady Cavitation Around a Naca66 Hydrofoil

Sediment Erosion Prediction for a Francis Turbine Based on Liquid-Solid Flow Simulation Using Modified PANS

Analysis of Applicability of CFD Numerical Studies Applied to Problem When Pump Working as Turbine

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