In longwall mining, ventilation is considered one of the more effective means for controlling gases and dust. In order to study longwall ventilation in a controlled environment, researchers built a unique physical model called the Longwall Instrumented Aerodynamic Model (LIAM) in a laboratory at the National Institute for Occupational Safety and Health (NIOSH) Pittsburgh Mining Research Division (PMRD) campus. LIAM is a 1:30 scale physical model geometrically designed to simulate a single longwall panel with a three-entry headgate and tailgate configuration, along with three back bleeder entries. It consists of a two-part heterogeneous gob that simulates a less compacted unconsolidated zone and more compacted consolidated zone. It has a footprint of 8.94 m (29 ft.) by 4.88 m (16 ft.), with a simulated face length of 220 m (720 ft.) in full scale. LIAM is built with critical details of the face, gob, and mining machinery. It is instrumented with pressure gauges, flow anemometers, temperature probes, a fan, and a data acquisition system. Scaling relationships are derived on the basis of Reynolds and Richardson numbers to preserve the physical and dynamic similitude. This paper discusses the findings from a study conducted in the LIAM to investigate the gob-face interaction, airflow patterns within the gob, and airflow dynamics on the face for varying roof caving characteristics. Results are discussed to show the impact of caving behind the shields on longwall ventilation.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6556897 | PMC |
http://dx.doi.org/10.1007/s42461-019-0065-7 | DOI Listing |
Sci Rep
January 2025
Xinjiang University, Urumqi, 830017, China.
Strip filling mining significantly improves coal recovery rates and fosters sustainable development in the coal industry. To investigate the overburden movement patterns of strip filling mining, a mine in Tuokexun was selected as the study site. The stability of the composite structure in upward mining faces, as well as the stress distribution and fracture characteristics of the overburden at different stages of strip filling mining, were analyzed using theoretical methods, numerical simulations, and similarity experiments.
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December 2024
College of Intelligent Equipment, Shandong University of Science and Technology, Taian, Shandong, 271000, China.
Accurate identification of coal and gangue is a crucial guarantee for efficient and safe mining of top coal caving face. This article proposes a coal-gangue recognition method based on an improved beluga whale optimization algorithm (IBWO), convolutional neural network, and long short-term memory network (CNN-LSTM) multi-modal fusion model. First, the mutation and memory library mechanisms are introduced into the beluga whale optimization to explore the solution space fully, prevent falling into local optimum, and accelerate the convergence process.
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October 2024
Key Laboratory of Ministry of Education for High-Efficient Mining and Safety of Metal, University of Science and Technology Beijing, Beijing, 100083, China.
To improve ore recovery ratio and the quality of medium-length hole blasting in non-pillar sublevel caving method, this study first investigated the effects of brow line failure on rock movement and ore recovery indexes based on rock blasting fragmentation mechanisms, the granular dynamics theory and ore drawing theory. Subsequently, control strategies to enhance blasting quality and reduce brow line failure were explored through energy impact crushing experiments, experiments on the radial rock-breaking effects of blast holes with different detonation velocities, and underground physical simulation experiments using full blast hole length detonating cord blasting. The experimental results indicate that as the degree of brow line failure increases, the ore recovery ratio gradually decreases, while the waste ratio gradually increases.
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October 2024
School of Civil Engineering and Architecture, Hubei University of Arts and Science, Xiangyang, 441053, Hubei, China.
To study the dynamic mechanical characteristics of coal in the area affected by mining in front of the mining face under different mining methods, an improved split Hopkinson pressure bar (SHPB) was used to apply different static loads to different positions. Then, dynamic mechanical tests were conducted on coal at different positions on the mining face, analyzing the dynamic response under strong dynamic load disturbances, under three different mining layouts. Within the range of static water pressure to the peak support pressure, the dynamic strength of coal gradually increases with increasing distance from the mining face.
View Article and Find Full Text PDFHeliyon
October 2024
College of Intelligent Manufacturing, Jiangsu Vocational Institute of Architectural Technology, Xuzhou, 221116, China.
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