Study on induced airflow characteristic and dust particle diffusion law at transshipment point

Fan, Chaonan; Qi, Qingjie; Chen, Xi; Ge, Shaocheng

doi:10.1080/15567036.2020.1819474

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…The basic physical quantities of CFD calculation are velocity, temperature, pressure and composition, and the displacement of grid nodes is not calculated. 25 Therefore, in order to make the mesh move, the physical constraint usually imposed on the nodes is speed. The moving speed of the grid is defined relative to the reference coordinate system, which can be static (the laboratory coordinate system, in this study is the reference system of the spray workshop), or rotated and translated relative to the reference coordinate system.…”

Section: Methodsmentioning

confidence: 99%

A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration airtight space under unorganized airflow

Li,

et al. 2024

Advances in Mechanical Engineering

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It is significant to obtain the particle distribution data for workpiece processing and industrial protection strategies. To simulate the particle dispersion in a high-concentration airtight space under unorganized airflow, a CFD-based simulation and experimental were utilized in this study. The proposed method works in three steps. The first step is to use Stokes-MRF-Fan-CFD model to simplify the distribution of high-concentration particles calculation to the dispersion state of the gas components. The second step is to compute the airflow patterns and dispersion of particles. The third step is to prove the feasibility of Stokes-MRF-Fan-CFD model. The results of this model in particle dispersion show ±200 mg·m−3 of absolute error, ±20% of relative error, and 88.5747 grade of simulation accuracy. And the results of particle concentration distribution can be mutually confirmed with the streamline and velocity vector distribution in the airtight space, providing a promising and innovative model for the particle dispersion in a high-concentration airtight space under unorganized airflow.

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Section: Methodsmentioning

confidence: 99%

A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration airtight space under unorganized airflow

Li,

et al. 2024

Advances in Mechanical Engineering

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“…Due to the increasing automation and robotization of coal mining nowadays, the issues of dust pollution in underground tunnels have become more serious [1,2]. It was reported that if no dust reduction measures are taken, dust at the working face can be as high as 2-3 g/m 3 , which seriously reduces visibility and causes great pollution in the working environment [3][4][5][6]. This in turn leads to an increase in the rate of pneumoconiosis among miners, which has been increasing year after year, and thus seriously threatens the lives and health of workers onsite [7].…”

Section: Introductionmentioning

confidence: 99%

Research on the Dust Diffusion and Pollution Behaviour of Dynamic Tunneling in Header Excavators Based on Dynamic Mesh Technology and Field Measurement

Chen

Zhang

et al. 2022

Energies

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In order to accurately characterize and evaluate dust particle diffusion in the dynamic tunneling process of a boring machine, this study considers the 31,116 main transport chute heaving face of the Lijiahao coal mine as a case study. A dynamic tunneling model is developed considering the real dynamic tunneling state of the header, to carry out an in-depth analysis of the spatial and temporal evolution of wind flow and dust dispersion in the tunnel under dynamic excavation. In addition, the results were compared against the calculations of a static standard excavation model of a conventional header. Employing CFD analysis accompanied by field measurements, it was highlighted that the dynamic tunneling of the header leads to an increase in the pressure difference and the turbulent kinetic energy at the working face. Moreover, an increase in the number of vortices was reported, and a higher concentration of dust spreads more quickly along the return wind side wall to the return flow area. On the other hand, the high concentration of dust under the standard tunneling model was found to accumulate a lot on the return wind side. Simultaneously, as the distance between the pressurized air outlet and the working face increases, the average wind speed in the vortex-type wind flow area at the front of the tunnel decreases. When t = 60 s, the return flow area expands to a space of 8 m~24 m from the head, and the dust accumulated above the header spreads to the back of the header to form a high concentration dust region of more than 500 mg/m³. It was shown that the range of high-concentration dust clouds in the breathing zone decreases compared to the results of the standard tunneling model. Moreover, the dust concentration in the breathing zone of the driver is significantly lower than that reported by the standard tunneling model. Based on the results of the field test, the average error between the simulated and measured data of the dynamic tunneling model was calculated to be around 6.46%, thus demonstrating the model’s capability in describing the real working conditions of the heave tunnel.

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Reduced Dust Generation when Loading a Bunker with Powdery Material. Part 2. Results of Numerical and Experimental Studies

et al. 2021

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Study on induced airflow characteristic and dust particle diffusion law at transshipment point

Cited by 6 publications

References 26 publications

A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration airtight space under unorganized airflow

A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration airtight space under unorganized airflow

Research on the Dust Diffusion and Pollution Behaviour of Dynamic Tunneling in Header Excavators Based on Dynamic Mesh Technology and Field Measurement

Reduced Dust Generation when Loading a Bunker with Powdery Material. Part 2. Results of Numerical and Experimental Studies

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