Aerodynamic parameters of ventilating passages joined-up with the main mine fan

Alymenko, N. I.

doi:10.1134/s1062739147060141

Cited by 6 publications

(4 citation statements)

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“…The way of simplifying the diagonal ventilation system involved three steps. The first one is carefully analysing airflow direction of the diagonal ventilation system and branches, the second step is finding the branches with unreasonable airflow direction according to the actual requirements and the last step is adjusting and optimizing the system [21].…”

Section: Theory and Methodsmentioning

confidence: 99%

Airflow Stability and Diagonal Mine Ventilation System Optimization: A Case Study

2018

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Airflow reverse is a severe problem in an underground ventilation system. In addition, the airflow stability and safety production can be seriously affected by the problem of air velocity overrun in the roadways. In this study the crucial causes of the ventilation problems in a coal mine case study are analyzed and a solution is proposed through an analytical methodology. Measurements indicate high air resistance in the shaft and low values in the maintenance roadway, generating abnormal airflow directional behaviors. Strategies to solve the ventilation-related problems have been proposed and implemented, verifying normal ventilation conditions.

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Section: Theory and Methodsmentioning

confidence: 99%

Airflow Stability and Diagonal Mine Ventilation System Optimization: A Case Study

2018

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“…The friction factor is a dimensionless number, which represents the geometrical characteristics of the dust or tunnel and the flow conditions (Diego I., Torno S., Toraño J., Menéndez M. 2011;Duckworth I. 1997;Alymenko 2012;Levoni et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Potash mining friction factor determination using CFD

Felipe

Costa

Bascompte

et al. 2022

Preprint

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Friction factor is a crucial parameter for assessing and modelling the ventilation system in underground mining, becoming essential as we deepen the mining activity. This parameter is related to the loss of energy due to air friction inside the mine and consequently to the energy consumption in the fans. So, it must properly calculate in order to reduce operating costs and thus improve mineral prices. This paper presents the calculation of the friction factor through a CFD model of a potash mine case study for different mean roughness and typical velocities. Results are compared with friction factors calculated through traditional empirical relationships. The comparison of both data has given some differences, especially for relative high Reynolds numbers, for low Reynolds numbers it is verified that there is also a dependence with himself. Thus, it is proposed a correction for calculate friction factor with Colebrook-White and Von Karman expressions for the particular case of potash mines.

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“…Therefore, knowing these is crucial for modelling ventilation circuits (Shalimov, 2011) and for planning long-term airflow requrements. One of the most important aspects to consider is the friction factor, which is dependent on the geometrical characteristics of the tunnels, the mining method, and the physical condition of the mine (Duckworth and Prosser, 1997;Alymenko, 2012). This friction factor is also a function of the roughness of the airways which, together with obstacles in the ventilation circuit (e.g., conveyor belts or doors), will create resistance to airflow.…”

Section: Introductionmentioning

confidence: 99%

Ventilation friction factor determination and comparison: Two case studies of potash mining

Bascompta

Pera

Anticoi

et al. 2019

J. S. Afr. Inst. Min. Metall.

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Friction factor is a crucial parameter in assessing and modelling ventilation systems in underground mining. However, the development of a mine along its life-cycle can complicate the airflow supply required at the working faces, creating setbacks in terms of productivity and production. Hence, it is very important to determine all the ventilation parameters, including roughness and the friction factor. In this paper we examine the data from several surveys that were carried out in two potash mines (both using the room-and-pillar method) with the aim of determining the friction factors through the Von Kármán equation, which connects the Atkinson friction factor with airway roughness. Comparison of the two mines provided consistent results, despite some differences in the mining methods, and we were able to establish standard values for this type of mining. Furthermore, a roughness variation over a year in this type of evaporitic mining has been determined, indicating that the specific climate characteristics of the zone affect the walls and roofs of the tunnels and therefore their roughness. Friction factor values have also been validated by means of several ventilation simulations and contrasted with values in the literature.

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Aerodynamic parameters of ventilating passages joined-up with the main mine fan

Cited by 6 publications

References 0 publications

Airflow Stability and Diagonal Mine Ventilation System Optimization: A Case Study

Airflow Stability and Diagonal Mine Ventilation System Optimization: A Case Study

Potash mining friction factor determination using CFD

Ventilation friction factor determination and comparison: Two case studies of potash mining

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