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    炼焦煤的化学结构对焦炭质量的影响

    Effect of chemical structure of coking coal on quality of coke

    • 摘要: 实际生产中,常出现黏结指数(G)和胶质层指数(Y)等传统煤质指标相似的炼焦煤,但其焦炭质量却存在显著差异。为深入探究煤化学结构差异对焦炭质量的影响,选用了3种煤质指标接近的炼焦煤(C1、C2、C3),并在40 kg焦炉中制备焦炭进行分析。通过岩相分析、基式流动度、固定床热解实验和热重分析,结合13C NMR、Raman等方法,从煤结构转变的角度研究成焦过程,进而和焦炭质量关联。研究表明,G值、Y值等此类传统煤质指标忽略了煤的化学结构及其对煤性质和焦炭质量的本质影响,不足以全面解释焦炭质量差异。热塑性温区内流动性的发展和挥发物的释放行为紧密相关,C3的塑性区间窄、流动性低,导致焦炭质量下降;C3中存在的大芳香团簇(如farCa等)和短链烃(低CH2/CH3比值)阻碍了煤的解聚,影响了流动性的发展。此外,煤中缺陷结构(farN)的增加,不仅提高了焦炭的反应性,还进一步导致焦炭强度降低。该研究有助于评估和预测不同煤种的焦炭强度,也为优化煤种选择和配煤策略提供了新的思路。

       

      Abstract: In actual production, coking coals with similar traditional coal properties, such as the bond index and plastic layer index, often produce coke with significant quality differences. To investigate the impact of coal chemical structure differences on coke quality, three coking coals with similar coal quality indices (C1, C2, C3) were selected and analyzed by preparing coke in a 40 kg coke oven. Through petrographic analysis, Gieseler fluidity measurement, fixed-bed pyrolysis experiments, and thermogravimetric analysis, combined with 13C NMR and Raman spectroscopy, the study examined the coking process from the perspective of coal structure transformation and correlated it with coke quality. The study found that traditional coal quality indices such as the G value and the Y value overlook the chemical structure of coal and its essential impact on coal properties and coke quality, making them insufficient to fully explain the differences in coke quality. The development of fluidity in the thermoplastic temperature region is closely related to the release behavior of volatiles. The narrow plasticity range and low fluidity of C3 lead to a decline in coke quality. Large aromatic clusters (e.g., far, Ca) and short-chain hydrocarbons (low CH2/CH3 ratio) in C3 hinder the depolymerization of coal, affecting the development of fluidity. Additionally, the increased defect structures (farN) in coal enhance the reactivity of coke, contributing to the reduction in coke strength. The study helps evaluate and predict the coke strength of different coal types and provides new insights into optimizing coal selection and blending strategies.

       

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