Modeling of cavitating flows past a micro-sized particle

Shi, Hang; Liu, Qingxia; Nikrityuk, Petr A.

doi:10.1016/j.ijmultiphaseflow.2020.103276

Cited by 8 publications

(2 citation statements)

References 33 publications

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“…In this study, the bubble number density n b is assumed to be 10 13 m −3 since this optimal value has been validated against a wide range of flow cases (see the works by Li et al, [30] Li et al, [31] Liu et al, [32] and Shi et al [33] ). The Schnerr-Sauer cavitation model is developed from a simplified Rayleigh-Plesset equation.…”

Section: Cavitation Modelmentioning

confidence: 99%

Numerical study of mixing of cavitating flows in a Venturi tube

2020

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This work is devoted to a computational investigation of the cavitation and mixing characteristics of two miscible (Schmidt number Sc = 10 3) turbulent water flows with different viscosity ratios in a Venturi tube. The 2D axissymmetric RANS and 3D LES turbulence models are used for the prediction of flow characteristics. The numerical results reveal that the RANS solutions underpredict the rate of vapour production and overestimate the mixing rate of two miscible fluids in comparison to LES simulations for the inlet Reynolds number of 19 738 (Case-1) and 19 286 (Case-2). In particular, there is a larger cavitation zone in the Venturi tube with LES in comparison to RANS calculations.

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Section: Cavitation Modelmentioning

confidence: 99%

Numerical study of mixing of cavitating flows in a Venturi tube

2020

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“…As a result, the transport of polymetallic nodules as a slurry through pipelines is a challenging task and require further improvements to overcome the low transportation capacity and high abrasive wear. There has been a great deal of work aimed on the optimization of the transportation pipeline system to provide improved transportation efficiency and prevention of slurry pipeline blockages and consequently enhancing the mining performance of deep ocean critical metals, either by concentrating on the operating conditions (e.g., velocities, direction, wetness) [8][9][10][11] or by focusing on the slurry properties (e.g., size, shape, concentration) [12][13][14][15]. Li et al [16] numerically investigated the mechanism of resistance reduction by adding finer particles on coarse-particle slurry in pipelines.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Swirls on Slurry Flows in Horizontal Pipelines

Shi

Yuan

2021

JMSE

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In deep ocean transportation pipeline, the swirling internal flow has a significant impact on the marine minerals transportation efficiency and safety. Therefore, the present work investigates various swirl flow motions for the slurry transport characteristics of the multi-sized particulate flow in a horizontal pipeline. Since the internal flow is a liquid-solid-solid mixture, a steady-state three-dimensional Eulerian-Eulerian multiphase approach in conjunction with the k-ω SST turbulence model is implemented for numerical simulation in the commercial CFD software ANSYS FLUENT 17.0. Numerical predictions of the mixture solid concentration distributions are generally in good conformance with experimental measurements. It is clearly revealed the transition of flow regime from heterogeneous to pseudo-homogeneous with the increasing level of swirl intensity at inlet. Compared to non-swirling flow, the swirling flow is of benefit to the multi-sized solid suspension capacity and the transportation efficiency. Moreover, the intense swirling vortex results in a strong influence on the characteristics of the lubrication layer formed by fine solid particles near the bottom of the pipe. These results provide valuable insights regarding the influence of swirl flow on the transport process for deep ocean mining.

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Research Status and Prospect of Application of Neural Network in Mineral Processing Prediction

Peng¹,

Nie²

2022

Cyber Security Intelligence and Analytics

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Modeling of cavitating flows past a micro-sized particle

Cited by 8 publications

References 33 publications

Numerical study of mixing of cavitating flows in a Venturi tube

Numerical study of mixing of cavitating flows in a Venturi tube

The Impact of Swirls on Slurry Flows in Horizontal Pipelines

Research Status and Prospect of Application of Neural Network in Mineral Processing Prediction

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