ArticleACS omega2026
Prediction of Coal Spontaneous Combustion Risk under Poor Oxygen Concentration Based on Fuzzy Clustering and Lattice Tightness.
Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
To study the risk of coal spontaneous combustion (CSC) in goafs under poor oxygen concentrations, lignite, gas coal, and fat coal were selected as experimental samples for thermal analysis. The thermogravimetric curves and kinetic parametric equations of coal with different metamorphisms at oxygen concentrations of 18%, 14%, 10%, 5%, and 3% were studied. The results showed that the higher the degree of coal metamorphism, the lower the tendency for the oxidation reaction and spontaneous combustion. With the decrease of oxygen concentration, the weight loss rate of coal gradually decreased, and the apparent activation energy gradually increased. However, the heat release of CSC first increased and then decreased, with the greatest heat release when HM was at a 14% oxygen concentration, QM at 10%, and FM at 18%. On this basis, the thermal analysis parameters of CSC under different metamorphisms and oxygen concentrations were analyzed by fuzzy clustering, and coal was divided into two categories: spontaneous combustion risk and no spontaneous combustion risk. Combined with lattice tightness, the risk of CSC under different metamorphisms and oxygen concentrations can be determined.
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