Development of a roof bolter drilling control process to reduce the generation of respirable dust

Jiang, Hua

doi:10.1007/s40789-021-00413-9

Cited by 15 publications

(7 citation statements)

References 12 publications

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“…Fan et al, 2018;Wu et al, 2019). For this reason, dust monitoring control during the handling of different mining technologies requires extensive investigation, including information on the physicochemical characteristics of the deeply inhalable (particle size below 10 µm) and respirable fractions (particle size below 4 µm and 2.5 µm), both of which could be a key factor in the prevention of coal dust problems in mining, such as diverse authors are contributing (Zhang et al 2020;Szkudlarek and Janas 2021;Jiang and Luo 2021;Liu et al 2021;Reed et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Chemistry and particle size distribution of respirable coal dust in underground mines in Central Eastern Europe

Trechera

Querol

Lah³

et al. 2022

Int J Coal Sci Technol

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Despite international efforts to limit worker exposure to coal dust, it continues to impact the health of thousands of miners across Europe. Airborne coal dust has been studied to improve risk models and its control to protect workers. Particle size distribution analyses shows that using spraying systems to suppress airborne dusts can reduce particulate matter concentrations and that coals with higher ash yields produce finer dust. There are marked chemical differences between parent coals and relatively coarse deposited dusts (up to 500 µm, DD500). Enrichments in Ca, K, Ba, Se, Pb, Cr, Mo, Ni and especially As, Sn, Cu, Zn and Sb in the finest respirable dust fractions could originate from: (i) mechanical machinery wear; (ii) variations in coal mineralogy; (iii) coal fly ash used in shotcrete, and carbonates used to reduce the risk of explosions. Unusual enrichments in Ca in mine dusts are attributed to the use of such concrete, and elevated K to raised levels of phyllosilicate mineral matter. Sulphur concentrations are higher in the parent coal than in the DD500, probably due to relatively lower levels of organic matter. Mass concentrations of all elements observed in this study remained below occupational exposure limits.

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Section: Introductionmentioning

confidence: 99%

Chemistry and particle size distribution of respirable coal dust in underground mines in Central Eastern Europe

Trechera

Querol

Lah³

et al. 2022

Int J Coal Sci Technol

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“…[4][5][6][7] In recent years, to pursue short-term benefits, many coal mining enterprises only mine thick coal seams rather than thin ones, which wastes lots of coal resources and results in a low mining rate on the whole. [8][9][10][11] It is an inevitable choice to properly reduce the scale of coal development and improve the mining rate under the changing trend of energy consumption and the current situations of coal resources. [12][13][14][15] Evaluation of the mining capacity of mines using the combination weighting approach can intuitively and clearly reflect the level of mining capacity of mines and improve weak links to raise the mining rate of mines.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of mining capacity of mines using the combination weighting approach: A case study in Shenmu Mining Area in Shaanxi Province, China

2021

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Aiming at the low mining rate in mines, Xingelao, Dabianyao, and Dongliang Coal Mines in Shenmu Mining Area, Shaanxi Province, China were taken as research objects. Based on this, this study constructed an evaluation index system for the mining capacity of the mines from the perspectives of geological factors, mechanical equipment, humans, and mining design. Moreover, the factors influencing the mining capacity of the mines were evaluated using a combination weighting approach based on an improved analytic hierarchy process and an entropy weight method. A standard cloud was generated based on the mapping standards of each index and a comprehensive cloud was obtained according to comprehensive weight and a backward cloud algorithm. Finally, by combining the comprehensive cloud with local and overall scores of the mines, the mining capacities of the mines were evaluated. The research results demonstrate that the key factor restricting the mining capacity of the mines is the geological environment and five major third-grade indexes affecting mining capacity are igneous rock intrusion, collapse column, scouring zone of the ancient river bed, mechanization level and coal pillar width. In addition, the corresponding suggestions and measures were put forward according to the main factors influencing the mining rate of the mines. In accordance with the weights and scores of each index, the overall scores of the mines were calculated. Dongliang, Dabianyao, and Xingelao Coal Mines were ranked in order based on scores. The research results provide a theoretical basis for improving the mining capacity of the mines under similar geological conditions.

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“…In response to this problem, many scholars have conducted research related to rock mechanics and gas flow [6][7][8][9][10][11][12][13]. At present, the use of drilling boreholes to predrain coal-seam gas is a common and effective measure for preventing such accidents [14,15]. However, when drilling in soft and outburst-prone coal seams, problems such as buried drilling, injection boreholes, and stuck drills are prone to occur, and the actual drilling trajectory often deviates from the designed trajectory [16,17].…”

Section: Introductionmentioning

confidence: 99%

Deflection Laws of Gas Drainage Boreholes in Interbedded Soft and Hard Seams: A Case Study at Xinzheng Coal Mine, China

Xiao-yan

Cheng

Chen

et al. 2021

Advances in Civil Engineering

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Coal and gas outbursts can lead to serious disasters in coal mines. The drilling of boreholes to predrain the gas is an effective measure for preventing such accidents. However, due to the complexity of the geological situation, the drilling trajectory often deviates from the design trajectory, resulting in poor gas extraction. To solve the problem of gas drainage borehole deflection, an analytic hierarchy process (AHP) model is established based on geological factors, technical factors, and human factors. The AHP model is used to rank the weights of various influencing factors, and the analysis is combined with a drilling model and engineering examples. Finally, the results show that soft and hard interlayers are the most important factors affecting the deflection of the borehole. The rock drilling model is mainly affected by the formation forces. The regularity of the change in the azimuth angle during drilling is not obvious when the angle of the encountered layer is less than some critical value. When the borehole is skewed downward, the deflection angle ranges from 0 to 4°, and the deflection of the borehole occurs mainly at the interface of the rock layers. When the angle of the encountered layer is greater than the critical value, the borehole is skewed upward, with a deflection angle of 0–6°, and the deflection occurs at the rock interface. The trajectory curve obtained by theoretical predictions from field data is found to be consistent with that of an actual project.

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Development of a roof bolter drilling control process to reduce the generation of respirable dust

Cited by 15 publications

References 12 publications

Chemistry and particle size distribution of respirable coal dust in underground mines in Central Eastern Europe

Chemistry and particle size distribution of respirable coal dust in underground mines in Central Eastern Europe

Evaluation of mining capacity of mines using the combination weighting approach: A case study in Shenmu Mining Area in Shaanxi Province, China

Deflection Laws of Gas Drainage Boreholes in Interbedded Soft and Hard Seams: A Case Study at Xinzheng Coal Mine, China

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