Comparison of the implementation of three common types of coupled CFD-DEM model for simulating soil surface erosion

Guo, Yuan; Yu, Xiong

doi:10.1016/j.ijmultiphaseflow.2017.01.006

Cited by 54 publications

(22 citation statements)

References 34 publications

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“…A few previous studies assumed the pressure drop is shared only by fluid phase (i.e., Feng and Yu 2004), which lead to a slightly different equation format. Numerical comparison by the authors (Guo and Yu 2017) shows that different equation forms lead to around 20% differences in the particle drag force.…”

Section: Governing Equations For Fluid Phasementioning

confidence: 99%

Analysis of surface erosion of cohesionless soils using a three-dimensional coupled computational fluid dynamics – discrete element method (CFD–DEM) model

Guo

2019

Can. Geotech. J.

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A fluid–solid interaction model has been implemented by coupling two numerical methods — computational fluid dynamics (CFD) and discrete element method (DEM) — that capture the mesoscale behaviors of the fluid–solid system. The model is first validated by comparing the results of simulations with two types of experiments: free settling of a single sphere in water and formation of angle of repose of particles under water, which show its capability in modeling the behaviors of both particle phase and fluid phase. The verified model is then used to study factors affecting the soil erodibility, where case studies are designed for soil particles deposited inside a pipe and subsequently subjected to water flow–induced surface erosion. Influencing factors for soil erodibility, including particle diameter and interparticle bond, are analyzed. For cohesionless soils without bond strength, the critical shear stress is found to be linearly related to particle size; while for soils with bond strength, simulation results show that interparticle bonding largely decelerates the erosion process and causes a much lower erosion rate. To further the understanding of soil surface erosion under turbulent flow, the “k–ε” turbulence model has been successfully implemented for the fluid phase. Comparison between the laminar model and the turbulence model shows turbulence significantly accelerates the erosion process.

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Section: Governing Equations For Fluid Phasementioning

confidence: 99%

Analysis of surface erosion of cohesionless soils using a three-dimensional coupled computational fluid dynamics – discrete element method (CFD–DEM) model

Guo

2019

Can. Geotech. J.

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“…e capability and use of the CFD-DEM combination have been reported recently in the literature for a wide range of applications, including fluidized beds [14][15][16][17][18][19], filtration processes [20][21][22][23][24], hole cleaning and sediment transport in the oil and gas industry [25][26][27][28], hydrocyclones, vortex flow, and instabilities [29][30][31], and bed-load transport [32,33]. Specifics of the CFD-DEM coupling have also been documented, including studies of different types of DEM coupling [34], numerical errors involved in the models [35], requirements for the coupling with distinct fluid mechanics numerical models [36][37][38], and the use of nonspherical particles [39].…”

Section: Introductionmentioning

confidence: 99%

Numerical Evaluation of CFD‐DEM Coupling Applied to Lost Circulation Control: Effects of Particle and Flow Inertia

Barbosa

Lai

Junqueira

2019

Mathematical Problems in Engineering

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In the present study, the transport and deposition of solid particles to mitigate the loss circulation of fluid through a fracture transversely placed to a vertical channel is numerically investigated. These solid particles (commonly known in the industry as lost circulation materials—LCMs) are injected into the flow during the drilling operation in the petroleum industry, in hopes to control the fluid loss. The numerical simulation of the process follows a two-stage process: the first characterizes the lost circulation flow and the second the particle injection. The numerical model comprises an Eulerian–Lagrangian approach, in which the dense discrete phase model (DDPM) is combined with the discrete element method (DEM). A parametric analysis is done by varying the vertical channel Reynolds number, the particle-to-fluid density ratio, and the particle diameter. Results are shown in terms of the particle’s bed geometric characteristics, focusing on the location inside the fracture where the particles deposit, and the particle bed length, height, and time spent to fill the fracture. Also monitored are the fluid loss reduction over time and the fractured channel bottom pressure (which can be related to the fracture pressure). Results indicate that using a slow/intermediate flow velocity, associated with heavy particles with small diameters, provides the best combination for the efficient mitigation of the fluid loss process.

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“…The dominant merit of the CFD, in comparison to the other methods, is to apply the more real soil parameters (such as size and configuration) to predict the interaction force, thereby attaining the more adequate soil-tool interactions (Barker, 2008). Karmakar, Baker and Guo & Yu et al ever simulated the soil reaction forces by CFD modeling, but their research objects were either just a flat plate, rather different from the tool presented here (Barker, 2008;Guo & Yu, 2017;Karmakar & Kushwaha, 2006). Different geometric shape of the ploughbody contributes to different interaction forces over its surface (Gill & Vanden Berg, 1967).…”

Section: Introductionmentioning

confidence: 99%

Flowing interaction between cutting edge of ploughbreast with soil in shifting tillage operations

Zhang

Zhu

Chen

et al. 2020

Engineering Applications of Computational Fluid Mechanics

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Ploughbreast is the crucial soil-engaging component of horizontally reversible plough (HRP). Its biggest merit, compared to conventional ploughs, is to enable the ploughbody to perform alternative and shifting tillage operations with high speeds. A major technical challenge in the aforementioned operation is violent flowing interaction between soil and ploughbreast. This flowing interaction may result in severe wear rate on the ploughbreast, particularly along its cutting edge, i.e. ploughshank, thereby reducing the tool life. The objective of the present paper is to evaluate influences of the flowing interaction on the ploughshank by studying interaction force, wear rate and their correlation. The interaction forces were predicted using a numerical calculation with finite volume approach in computational fluid dynamics (CFD) software. The wear rates were measured using scanning electron microscope (SEM). There were very good qualitative agreements between numerical and experimental results that either the maximum force or the most severe wear rate appears at the same section and has a direct relationship with the Tillage speed and tilling depth. Closer examination of the calculated and measured confirms that the more violent sliding & rubbing, the greater stress gradient and the larger abrupt stress cause the more severe wear rate along the ploughshank.

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Comparison of the implementation of three common types of coupled CFD-DEM model for simulating soil surface erosion

Cited by 54 publications

References 34 publications

Analysis of surface erosion of cohesionless soils using a three-dimensional coupled computational fluid dynamics – discrete element method (CFD–DEM) model

Analysis of surface erosion of cohesionless soils using a three-dimensional coupled computational fluid dynamics – discrete element method (CFD–DEM) model

Numerical Evaluation of CFD‐DEM Coupling Applied to Lost Circulation Control: Effects of Particle and Flow Inertia

Flowing interaction between cutting edge of ploughbreast with soil in shifting tillage operations

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