Study of high-pressure air curtain and combined dedusting of gas water spray in multilevel ore pass based on CFD-DEM

Wang, Yapeng; Jiang, Zhongan; Chen, Jushi; Chen, Jihe; Wang, Ming

doi:10.1016/j.apt.2019.05.019

Cited by 60 publications

(13 citation statements)

References 30 publications

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“…The airflow was treated as a continuous phase while dust particles were treated as a discrete phase. The ke model in Euler coordinates was utilized to express the airflow motion, while the discrete phase model (DPM) under Lagrangian coordinates was utilized to express dust particle motion (Liu et al 2019e;Wang et al 2019i). In addition, the Semi-Implicit Method for Pressure-Linked Equations (SIMPLE) module was applied in the simulations.…”

Section: Construction Of Mathematical Modelmentioning

confidence: 99%

Determination of optimal blowing-to-suction flow ratio in mechanized excavation face with wall-mounted swirling ventilation using numerical simulations

Gao

Wang

et al. 2021

Int J Coal Sci Technol

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Wall-mounted swirling ventilation is a new type of system in mechanized excavation faces with a dust suppression performance that is closely related to the blowing-to-suction flow ratio. Physical and simulation models were developed according to the No. C103 mechanized excavation face in the Nahe Coal Mine of the Baise Mining Bureau, Guangxi Province to optimize the blowing-to-suction flow ratio for wall-mounted swirling ventilation. Both the k-ε turbulence model and the discrete phase model were utilized to simulate airflow field structures and dust concentration distribution patterns at various blowing-to-suction flow ratios. The results suggest that higher blowing-to-suction flow ratios increase the airflow field disturbance around the working face and weaken the intensity of the axial air curtain. On the other hand, both the intensity of the radial air curtain and the dust suppression effect are enhanced. At a blowing-to-suction flow ratio of 0.8, the wall-mounted swirling ventilation system achieved the most favorable dust suppression performance. Both the total dust and respirable dust had their lowest concentrations with maximum efficiencies of reducing both types at 90.33% and 87.16%, respectively.

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Section: Construction Of Mathematical Modelmentioning

confidence: 99%

Determination of optimal blowing-to-suction flow ratio in mechanized excavation face with wall-mounted swirling ventilation using numerical simulations

Gao

Wang

et al. 2021

Int J Coal Sci Technol

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“…One of the key factors in the use of CFD-DEM for predicting particle concentrations lies in the justification that the simulation method has been verified and calibrated correctly and that the simulation results can be extracted in a useable format [6]. When considering simulation extraction procedures; many challenges are faced such as: mesh alignment (comparison of one mesh definition to another), material loading (number of particles contained in a simulation), the particle size distribution and the particle shape.…”

Section: Challenges Of Comparing Simulations To Experimentsmentioning

confidence: 99%

“…This research builds on previous work modelling multiphase flows for industrial applications [4]. However, previous research has been limited to transfer stations [5] and underground mining [6][7][8] which used intrusive sampling methods such as dust monitors and collection trays similar to that used by Stone et al [9]. Researchers, such as Rani et al [10] have used numerical simulation (CFD) to predict dust concentration levels in cylindrical storage silos.…”

mentioning

confidence: 99%

A Modelling and Validation Approach for Predicting Particle Concentrations of Airborne Dust during the Filling Process of Cylindrical Silos

et al. 2021

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Traditionally, when undertaking feasibility studies for designing new storage facilities such as storage silos, engineers will extract design information from experiments and evaluate potential risks associated with health and safety, suitability design for reliable material flow, and quality of products. The simulation approach applied incorporates Computational Fluid Dynamics (CFD), and Discrete Element Modelling (DEM) approaches and experimental tests will be used for validating these simulation results. One important aspect related to handling fine and dusty materials (particles smaller than 100 microns) is the associated risk of dust explosions, which needs to be evaluated before the commissioning of storage silos; to evaluate the accumulation of fines during the silo filling process, simulations and experiments were conducted. Alumina and salt were used here as reference materials for calibration and the validation purposes. The validation efforts are significant due to the fact that the data that is accessible in simulations is vastly different to the accessible data in experiments, which is restricted by measurement techniques and equipment. Such restrictions are observed in the evaluation of particle concentrations in a large confined volume. A new methodology has been developed to evaluate concentrations in both simulations and experiments by employing a non-dimensional factor [k], here called “Concentration Rank Factor” (CRF). A significant finding of this research is that experiments and simulations can be compared using CRF. It has been found to be within 2% of the experiment averaged value of 0.64.

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“…At present, there are more studies on induced airflow at conveyor transfer points but fewer on impact airflow in the process of unloading at the discharge port. 33 The research on ore pass is mainly focused on the problem of hang-up in ore pass, 34 − 36 the prediction of lining wear life of bins and chutes, and so on. 37 Therefore, in this paper, CFD-DEM is used to simulate the impact airflow generated after ore unloading in the ore pass, and the influence of different factors on the impact airflow is analyzed to provide a theoretical basis for dust pollution prevention and control in the ore dumping chamber.…”

Section: Introductionmentioning

confidence: 99%

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

Wang

2021

ACS Omega

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In this paper, a coupled computational fluid dynamics and discrete element method (CFD-DEM) is used to numerically simulate the energy transfer of the ore falling process and the change law of impact airflow velocity under different influencing factors. The results are as follows: the total drag force is an important factor that determines the impact airflow velocity. The greater the total drag force, the greater the impact airflow velocity. The impact airflow velocity increases with the increase of mass flow rate and discharge height and decreases with the increase of ore size, and it is found that the discharge height has the greatest impact on the impact airflow velocity, the ore size is the second, and the mass flow rate is the smallest. Therefore, in the allowable range of mine production, the discharge height should be appropriately reduced. The mathematical model of the impact airflow velocity is obtained by multivariate nonlinear regression on the experimental results of orthogonal experiments.

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Study of high-pressure air curtain and combined dedusting of gas water spray in multilevel ore pass based on CFD-DEM

Cited by 60 publications

References 30 publications

Determination of optimal blowing-to-suction flow ratio in mechanized excavation face with wall-mounted swirling ventilation using numerical simulations

Determination of optimal blowing-to-suction flow ratio in mechanized excavation face with wall-mounted swirling ventilation using numerical simulations

A Modelling and Validation Approach for Predicting Particle Concentrations of Airborne Dust during the Filling Process of Cylindrical Silos

Research on the Influencing Factors and Prediction Model of Impact Airflow in the Process of Unloading of an Ore Pass Based on a Coupled Computational Fluid Dynamics and Discrete Element Method

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