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The effect of coal properties on carbonization behaviour and strength of coke blends

机译:煤性质对焦炭共混物碳化行为和强度的影响

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摘要

The composition of a number of coals with varying rank was characterized by a number of means with emphasis on petrographic examination. The petrographic data of coals was processed with special emphasis on quantifying vitrinite sub macerals and their association with coal carbonisation parameters as well as coke strength. The association between coal petrography data with coke strength of binary blends as well as industrial blends was also examined. Coke strength parameters including drum index and CSR were found to be predominantly influenced by coal rank with few exceptions of high rank and low fluidity coals. The study showed the association between coke strength and coke micro-texture such that coke strength after reactions was related to increased anisotropic texture. On the basis of vitrinite sub-components a new coal parameter was devised. The new parameter, the ratio of difference of collinite and telinite to the mean vitrinite reflectance, is found to predict coke strength of single coals with high confidence. However, the same parameter could not predict coke strength of binary coke as well as coke made in industrial processes. The study suggested that interaction of sub-vitrinite during carbonisation could be responsible for the limitation of application of the new parameter to predict coke strength of blends. Further investigations relating to the interaction of sub-macerals during carbonisation as well as the role of minerals may improve the confidence of coke strength prediction using the proposed new index.
机译:许多等级不同的煤的成分通过多种方法来表征,重点是岩相学检查。处理煤的岩石学数据时,特别着重于量化镜质子微晶及其与煤碳化参数以及焦炭强度的关系。还研究了煤岩学数据与二元混合物以及工业混合物的焦炭强度之间的关系。发现包括鼓指数和CSR在内的焦炭强度参数主要受煤级的影响,除了高煤级和低流动性的煤外,几乎没有其他例外。研究表明,焦炭强度与焦炭微观结构之间存在关联,因此反应后的焦炭强度与各向异性织构的增加有关。基于镜质亚组份,设计了一个新的煤参数。发现了新的参数,即钙铝石和菱铁矿的差异与平均镜质体反射率的比率,可以高度可信地预测单一煤的焦炭强度。但是,相同的参数不能预测二元焦炭以及工业过程中生产的焦炭的焦炭强度。研究表明,碳化过程中次镜质体的相互作用可能是限制应用新参数预测共混物焦炭强度的原因。有关碳化过程中次大分子间相互作用以及矿物作用的进一步研究可能会提高使用拟议新指标预测焦炭强度的可信度。

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