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首页> 外文期刊>Acta geodynamica et geomaterialia >RELATIONSHIPS AMONG COKING COALS AND RELATED COKES CHARACTERISTICS: A STATISTICAL EVALUATION
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RELATIONSHIPS AMONG COKING COALS AND RELATED COKES CHARACTERISTICS: A STATISTICAL EVALUATION

机译:焦化煤炭与相关焦点特征之间的关系:统计评估

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From 61 coking coals, 36 coal blends were prepared. Using a pilot coke oven, cokes were prepared from both 61 coking coals (Type I cokes) and 36 coal blends (Type II cokes). Coals were characterized by 14 coal characteristics and cokes by Coke Reactivity Index CRI and Coke Strength after Reaction with CO2 CSR. For the study of mutual statistic relationships among experimentally determined characteristics of coals and cokes, the Factor (FA) and Regression Analyses (RA) were used. FA distributed characteristics of coals and Type I cokes into 4 factors while characteristics of coal blends and Type II cokes were distributed into 7 factors. In case of pure coals and Type I cokes, strong relationships with high correlation coefficients (R vertical bar 0.60 vertical bar) were more abundant than in case of coal blends and Type II cokes. FA was used for the selection of coal characteristics that influence the coke quality the most significantly. These characteristics were then recalculated by RA for the predictions of CRI/CSR of Type I cokes. Predictions of CRI/CSR of Type II cokes were calculated from coal blends by the same procedure. The comparison of the predicted and experimentally determined CRI and CSR indexes showed much more reliable prediction of CRI/CSR indexes calculated from coals than calculated from coal blends. This study also explains the dominant reasons of this observation.
机译:从61个焦化煤中,制备36个煤混合物。使用试点焦炉,焦炭由61个焦化煤(I型Cokes)和36型煤混合物(II型焦炭)制备。在与CO2 CSR反应后,通过焦​​炭反应性指数CRI和焦强度的煤特性和焦炭以14种煤特性和焦化为特征。对于研究煤和焦炭的实验确定特征之间的互统计关系,使用因子(FA)和回归分析(RA)。煤炭和I型焦炭分布特征分为4个因素,而煤混合物的特性和II型焦炭分布为7个因素。在纯煤和型焦点的情况下,与高相关系数的强烈关系(R>垂直条0.60垂直条)比煤混合和II型焦炭的情况更丰富。 FA用于选择煤炭特性,最具显着影响焦炭质量。然后通过RA重新计算这些特征,用于预测I Cokes类型的CRI / CSR。通过相同的程序计算II型焦炭CRI / CSR的预测。预测和实验确定的CRI和CSR指标的比较显示了从煤中计算的CRI / CSR指数的更可靠预测而不是由煤混合物计算的。本研究还解释了这种观察的主要原因。

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