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Acta Geodynamica et Geomaterialia

 
Title: RELATIONSHIPS AMONG COKING AND RELATED COKES CHARACTERISTICS A STATISTICAL EVALUATION
 
Authors: Serencisova Jana, Klika Zdeněk, Kolomazník Ivan, Bartoňová Lucie and Baran Pavel
 
DOI: 10.13168/AGG.2018.0023
 
Journal: Acta Geodynamica et Geomaterialia, Vol. 15, No. 3 (191), Prague 2018
 
Full Text: PDF file (1.0 MB)
 
Keywords: Coal, Coke, CRI, CSR, Multivariate statistics
 
Abstract: 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 > ) 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.