A coupled DEM-SPH model for moisture migration in unsaturated granular material under oscillation

Chen, Jian; Orozovic, O.; Williams, Kenneth C.; Meng, Jingjing; Li, Chengzhi

doi:10.1016/j.ijmecsci.2019.105313

Cited by 20 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the multi-phase flow model, the VOF model can be used for the system where air and water cannot be integrated with each other. In this paper, the VOF model simulated the gas-liquid two-phase flow [30][31][32]. The coordinate origin of the geometric model was located in the center of the intersection of the nozzle and the ejector tube, with the exit direction of the ejector tube as the positive x direction.…”

Section: Numerical Model Model Establishmentmentioning

confidence: 99%

Effect of Closure Characteristics of Annular Jet Mixed Zone on Inspiratory Performance and Bubble System

Wang

et al. 2021

Processes

View full text Add to dashboard Cite

In the flotation process, gas-liquid properties and the bubble system greatly influence bubble mineralization. In order to clarify how the mechanism applies to the closure characteristics of an annular jet mixed flow zone on the inspiratory performance and the bubble system, different degrees of closure on the velocity field and gas-liquid ratio in the mixed flow zone were investigated using numerical simulation. The variations in the characteristics of bubble size distribution, rising velocity, and gas content under different closure levels were measured with a high-speed dynamic camera technology. The results confirmed that when the closure degrees of the mixed flow zone improved, the inlet jet could gradually overcome the static pressure outside the nozzle effectively. It formed a gas-liquid mixing zone with high turbulence first, and a large pressure difference at the gas-liquid junction second. This helped to increase the inspiratory capacity. At the same time, the gas-liquid ratio rose gradually under conditions of constant flow. When the nozzle outlet was completely closed, the gas-liquid ratio gradually stabilized. For the bubble distribution system, an enhancement in the closure degrees can effectively reduce the bubble size, and subsequently, the bubble size distribution became more uniform. Due to the improved gas-liquid shear mixing, the aspect ratio of the bubbles can be effectively changed, consequently reducing the bubble rising speed and increasing the gas content and bubble surface area flux of the liquid.

show abstract

Section: Numerical Model Model Establishmentmentioning

confidence: 99%

Effect of Closure Characteristics of Annular Jet Mixed Zone on Inspiratory Performance and Bubble System

Wang

et al. 2021

Processes

View full text Add to dashboard Cite

show abstract

“…Furthermore, control of the boundary conditions is also difficult. Among the numerical approaches that allow modelling of fluid-particle interactions, the most significant ones are: lattice-Boltzmann method coupled with the discrete element method (DEM) (Lu & Hsiau 2008;Houlsby 2009;Rycroft, Orpe, & Kudrolli 2009;Hassanpour et al 2011), smoothed particle hydrodynamics (Ji, Chen & Liu 2019;Xu, Dong & Ding 2019;Chen et al 2020) and computational fluid dynamics (CFD-DEM) (Wu et al 2010;Hager et al 2011;Jayasundara et al 2011;Tong et al 2013;Zhao & Shan 2013a;Li, Zhao & Kwan 2020b).…”

Section: Introductionmentioning

confidence: 99%

High-resolution fluid–particle interactions: a machine learning approach

Davydzenka

Tahmasebi

2022

J. Fluid Mech.

View full text Add to dashboard Cite

Modelling of fluid–particle interactions is a major area of research in many fields of science and engineering. There are several techniques that allow modelling of such interactions, among which the coupling of computational fluid dynamics (CFD) and the discrete element method (DEM) is one of the most convenient solutions due to the balance between accuracy and computational costs. However, the accuracy of this method is largely dependent upon mesh size, where obtaining realistic results always comes with the necessity of using a small mesh and thereby increasing computational intensity. To compensate for the inaccuracies of using a large mesh in such modelling, and still take advantage of rapid computations, we extended the classical modelling by combining it with a machine learning model. We have conducted seven simulations where the first one is a numerical model with a fine mesh (i.e. ground truth) with a very high computational time and accuracy, the next three models are constructed on coarse meshes with considerably less accuracy and computational burden and the last three models are assisted by machine learning, where we can obtain large improvements in terms of observing fine-scale features yet based on a coarse mesh. The results of this study show that there is a great opportunity in machine learning towards improving classical fluid–particle modelling approaches by producing highly accurate models for large-scale systems in a reasonable time.

show abstract

A special numerical method for fluid-structure interaction problems subjected to explosion and impact loading

Ning

Meng

et al. 2020

Sci. China Technol. Sci.

View full text Add to dashboard Cite

A coupled DEM-SPH model for moisture migration in unsaturated granular material under oscillation

Cited by 20 publications

References 47 publications

Effect of Closure Characteristics of Annular Jet Mixed Zone on Inspiratory Performance and Bubble System

Effect of Closure Characteristics of Annular Jet Mixed Zone on Inspiratory Performance and Bubble System

High-resolution fluid–particle interactions: a machine learning approach

A special numerical method for fluid-structure interaction problems subjected to explosion and impact loading

Contact Info

Product

Resources

About