Abstract:
In order to explore the statistics correlation between blending coal and mechanical strength of coke, multiple linear regression analysis is made using SPSS software with the coal quality parameters of Ash (
Ad), volatile matter (
Vdaf), Total sulfur (
St, d) and caking index (
G) as independent variables and coke′s crushing strength (
M40), wear-resistant strength (
M10), reactivity index
CRI and post-reaction strength
CSR as dependent variables. Based on result of analysis, a prediction model is developed. As evidenced by test result, the use of the method can produce a quick and accurate result, and is suitable for making coke quality prediction and control.