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Prediction of coke quality at Baosteel

机译:宝钢焦炭质量预测

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摘要

On the basis of the correlation between the properties of 19 coals and 64 coal blends and their cokes carbonized in a simulated coke oven(SCO),a coke quality prediction method has been developed and successfully tested for many Chinese coals that have been used for coke-making at Baosteel.The coke quality prediction is aided by the fact that V_d,A_dS_(sd),G,lg MF is additive,and the mineral composition of coal(represented by mineral catalysis index(MCI))is one of another key factors affecting coke quality besides the coal rank and the plastic properties of coal.The prediction method could be used for new coal evaluation,blend design and cost control.
机译:根据模拟焦炉中19种煤和64种煤的特性与焦炭的相关性,开发了一种焦炭质量预测方法,并成功地对许多用于焦炭的中国煤进行了测试。 V_d,A_dS_(sd),G,lg MF为添加物,而煤的矿物成分(以矿物催化指数(MCI)表示)是焦炭质量预测的基础。该预测方法可用于新煤的评估,掺混设计和成本控制。

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