4.5 Article

CFD-DEM Simulation of Sand-Retention Mechanisms in Slurry Flow

Journal

ENERGIES
Volume 14, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/en14133797

Keywords

multiphase flow; particulate flow; CFD-DEM; validation; verification; numerical simulation; sand filtration; sand retention; sand arch; slurry flow

Categories

Funding

  1. NSERC [CRDPJ 488362-15]

Ask authors/readers for more resources

This paper investigates sand retention mechanisms in sand filters at the opening, exploring various mechanisms under different conditions using a CFD-DEM model. The model is validated and three retention mechanisms are observed through simulations. The importance of gravity and interaction forces at the microscale in relation to other forces involved in retention mechanisms is confirmed.
The primary motivation of this paper is to investigate the sand-retention mechanisms that occur at the opening of sand filters. Various retention mechanisms under various conditions are explored that have a particulate flow with a low concentration of sand particles (called slurry flow) such as particle shape, size, and concentration. The computational fluid dynamic (CFD)-discrete element method (DEM) model is applied to predict the retention mechanisms under steady flow conditions of the well-bore. By using coupled CFD-DEM (CFD to model the fluid flow, and DEM to model the particle flow), the physics involved in the retention mechanisms is studied. The coarse grid unresolved and the smoothed unresolved (refined grid unresolved) coupling approaches implemented in STAR-CCM+ (SIEMENS PLM) are used to transfer data between the fluid and solid phases and calculate the forces. The filter slots under investigation have different geometries: straight, keystone, wire-wrapped screen (WWS) and seamed slot and the particles are considered with different shapes and different aspect ratios and size distributions. The flow regime is laminar in all simulations conducted. The CFD-DEM model is validated from the perspectives of particle-fluid, particle-particle, and particle-wall interactions. Verification of the CFD-DEM model is conducted by mesh sensitivity analysis to investigate the coupling resolution between the CFD and DEM. By simulation of numerous slurry flow scenarios, three retention mechanisms including surface deposition, size exclusion, and sequential arching of particles are observed. However, the concentration of particles is too diluted to result in multiparticle arch formation. In the simulations, various conditions are tested to give us an insight into the parameters and conditions that could affect the occurrence of the retention mechanisms. As an example, the importance of the gravity force and interaction forces on retention mechanisms are confirmed at the microscale in comparison with others forces involved in retention mechanisms such as the drag force, lift force, cohesive force, buoyancy force, and virtual mass force.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Engineering, Multidisciplinary

CFD-Based Optimization of Fluid Flow Product Aided by Artificial Intelligence and Design Space Validation

Lei Li, Zhengrong Cheng, Carlos F. Lange

MATHEMATICAL PROBLEMS IN ENGINEERING (2018)

Article Energy & Fuels

Performance of Turbulence Models in Simulating Wind Loads on Photovoltaics Modules

Mireille B. Tadie Fogaing, Arman Hemmati, Carlos F. Lange, Brian A. Fleck

ENERGIES (2019)

Article Energy & Fuels

Validation Process for Rooftop Wind Regime CFD Model in Complex Urban Environment Using an Experimental Measurement Campaign

Sarah Jamal Mattar, Mohammad Reza Kavian Nezhad, Michael Versteege, Carlos F. Lange, Brian A. Fleck

Summary: This research proposes a validation methodology for CFD assessments of rooftop wind regime in urban environments, which was applied to a case study at the University of Alberta campus. The study introduced two methods of standard deviation and average to compare numerical results with measurements, showing better agreement in terms of wind speed errors and direction deviations for East and South wind directions.

ENERGIES (2021)

Article Mechanics

Numerical study of microfluidic emulsion dynamics under the influence of heterogeneous surface wettability

Zhe (Ashley) Chen, Fenglei Huang, Peichun Amy Tsai, Alexandra Komrakova

Summary: Surface wettability significantly affects the dynamics and stability of liquid-liquid dispersion in microfluidic channels. In this study, simulations were conducted to investigate these effects in a microchannel with heterogeneous surface wettability. Different flow patterns were observed depending on drop length and Capillary number, and the results matched well with experimental data. The presence of an intervening thin film of the continuous phase was found to be crucial in capturing the observed drop behavior.

INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2022)

Article Chemistry, Analytical

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid-Structure Interaction

Haonan Ji, Bin Zou, Yongsheng Ma, Carlos F. Lange, Jikai Liu, Lei Li

Summary: By integrating expert system theory and fluid-structure interaction, an intelligent design optimization system is proposed to derive the optimal shape of flow channels. The system improves the accuracy of FSI simulation and the efficiency of the optimization process.

MICROMACHINES (2022)

Article Environmental Sciences

Performance Evaluation of the RANS Models in Predicting the Pollutant Concentration Field within a Compact Urban Setting: Effects of the Source Location and Turbulent Schmidt Number

Mohammad Reza Kavian Nezhad, Carlos F. Lange, Brian A. Fleck

Summary: This study uses computational fluid dynamics to simulate the dispersion of a passive scalar in the urban wind flow and evaluates different modeling settings. The results show that the standard k - epsilon closure model outperforms the other two models in predicting scalar concentration field in complex urban geometries with building complexes.

ATMOSPHERE (2022)

Article Engineering, Mechanical

High-velocity impact failure modeling of Armox 500T steel: Model validation and application to structural design

Kyle Mao, Genevieve Toussaint, Alexandra Komrakova, James D. Hogan

Summary: In this study, the Generalized Incremental Stress State dependent damage MOdel (GISSMO) is used to simulate the high-velocity impact failure of Armox 500T steel. The GISSMO is calibrated and validated using experimental data from the literature, and is then applied to investigate the impact failure behaviors of bi-layered steel systems. The results provide new capabilities and insights for the design of armor structures and evaluation of impact failure behaviors in Armox 500T/RHA bi-layered systems.

INTERNATIONAL JOURNAL OF IMPACT ENGINEERING (2024)

Article Engineering, Chemical

Mechanistic Model of Amine Hydrochloride Salts Precipitation in a Confined Impinging Jet Reactor

Francesco Maluta, Suzanne M. Kresta, Alexandra Komrakova

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2020)

No Data Available