In this paper, a comprehensive coal property (chemical, mineralogical, physical, and petrographic) study was conducted using a caking coal from South Africa, density cuts and pyrolyzed samples to understand the % coal caking during pyrolysis. Coal particles of 4, 8, and 10 mm in diameters from the coal feed and its density cuts were pyrolyzed at 0.87, 15, and 30 bar and 450°C and 550°C in the North-West University Fischer assay oven under N₂ for 15 min. The results for the samples show that the effects of particle size, temperature, pressure, and vitrinite and inorganic element carboxylate contents on the % caking of coal particles contribute significantly during pyrolysis. The mechanistic model shows that float coal particles soften, swell, melt, and coalesce during the pyrolysis tests. This model also shows that kaolinite and inertinite in the sink and <1.9 g/cm³ float particles fragment to non-caking particles. The statistical model using Free-Swelling Index, petrographic, and electron microprobe results achieves the highest coefficient of R² = 0.99. These models can be used to predict coal caking degree and the non-caking of coal particles during pyrolysis.

在本文中，使用来自南非的一种结块煤，密度削减和热解样品进行了全面的煤性质（化学，矿物学，物理和岩石学）研究，以了解热解过程中煤结块的百分比。将来自煤进料的直径为4、8和10 mm的煤颗粒及其密度降低的部分在N ₂下于西北大学Fischer测定炉中分别于0.87、15和30 bar以及450°C和550°C进行热解。15分钟 样品的结果表明，在热解过程中，粒径，温度，压力，镜质石和无机元素羧酸盐含量对煤颗粒结块％的影响显着。力学模型表明，浮选煤颗粒在热解试验中会软化，膨胀，熔化和聚结。该模型还表明，水槽中的高岭石和惰质岩以及<1.9 g / cm ^3的漂浮颗粒破碎成非结块颗粒。使用自由膨胀指数，岩石学和电子微探针结果的统计模型获得最高的R ² = 0.99系数。这些模型可用于预测热解过程中的煤结块程度和煤颗粒的非结块情况。