Abstract
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 d, S td, 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.
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