The exposed accumulation of coal gangue undergoes changes when it is soaked by rainwater, exhibiting varying tendencies for spontaneous combustion in different precipitation regions. This study investigates the effects of moisture on the oxidation and spontaneous combustion of coal gangue in high-sulfur coal gangue from the Qipanjing area of Inner Mongolia. Initially, coal gangue samples were subjected to soaking and air-drying treatments at different moisture contents. The dried coal gangue samples were then placed into a self-designed programmable heating furnace for thermal experiments, during which the gases generated were collected and characterized using gas chromatography. By comparing the oxygen consumption and volume fractions of gases such as CO, CH, and CH produced from coal gangue treated at different moisture contents, it was found that the low-temperature oxidation characteristics were optimal at a moisture content of 25%. At this level, the initial formation temperatures of gases like CO, CH, and CH were the lowest, with peak concentrations observed at 390 °C. Conversely, when the moisture content exceeded 70%, a significant amount of combustible material in the coal gangue was dissolved and dispersed by water, leading to a marked decrease in the concentrations of indicator gases produced at 390 °C. In fact, these concentrations fell below those of the control group, which was not subjected to water soaking or subsequent drying. The water immersion treatment also lowered the initial temperature points for the generation of various indicator gases by approximately 15 °C, making spontaneous combustion more likely.
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http://dx.doi.org/10.1021/acsomega.4c07832 | DOI Listing |
Sci Rep
January 2025
College of Intelligent Equipment, Shandong University of Science and Technology, Taian, 271000, Shandong, China.
Coal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting in unstable recognition results that make it difficult to meet the needs of industrial applications. To realize accurate recognition of coal-gangue in noisy environments, this paper proposes an end-to-end multi-scale feature fusion convolutional neural network (MCNN-BILSTM) based gangue recognition method, which can automatically learn and fuse complementary information from multiple signal components of vibration signals.
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December 2024
Mining College, Guizhou University, Guiyang, 550025, China.
Coal gangue (CG) is an industrial solid waste produced by coal mining and separation that is considered to have a significant effect on the soil or water environment when exposed to the air, exacerbating ecological pollution. The comprehensive utilization of CG has always been a difficult problem due to the complex mineralogical characteristics. Producing concrete aggregates with CG is an effective strategy for utilising CG resources synthetically.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
School of Civil Engineering, Liaoning Technical University, Fuxin 123000, China; Resource utilization of coal gangue and energy-saving building materials Liaoning Provincial Key Laboratory, Liaoning Technical University, Fuxin 123000, China.
In response to the dust pollution problem in open-pit mines, an environmentally friendly network structure with a dust suppressor structure was prepared by grafting acrylamide (AM) monomers onto xanthan gum (XG). The results show that the polymer produced from 1 g XG, 15 g AM, and 0.45 g trimethylolpropane triglycidyl ether (TTE) had a more orderly structured gel with a viscosity of 81.
View Article and Find Full Text PDFMolecules
November 2024
College of Mechanics and Engineering, Liaoning Technical University, Fuxin 123000, China.
Plants (Basel)
December 2024
Guoneng Jiangsu Jianbi Power Generation Co., Ltd., Nantong 226000, China.
Soil covering is a soil management technique used to address issues such as high alkalinity, nutrient deficiency, and a low soil and water-holding capacity in saline-alkali lands. Coal gangue, a solid waste generated from coal mining, contains nutrients and trace elements comparable to those in soil, making it a promising covering material. This study investigates the effects and mechanisms of coal gangue coverage on the physicochemical properties of soil, enzyme activity, and the growth of ryegrass.
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