Method for establishing lean coal quality evaluation model

Abstract

The invention discloses a method for establishing a lean coal quality evaluation model. The method includes the following steps that firstly, P is set as a lean coal quality evaluation index, wherein P = Pj + 10 * [K1 (M-Mj) + K2 * (N-Nj)], M, N, Mj and Nj represent a coarse grain mosaic structure proportion of lean coal to be evaluated, the sum of fiber and sheet structure proportions of the lean coal to be evaluated, a coarse grain mosaic structure proportion of reference lean coal, and the sum of fiber and sheet structure proportions of the reference lean coal respectively, K1 and K2 are constants, the relation between K1, K2 and strength CSR after thermal reaction of the lean coal and coke is represented by the following relational expression: CSR= K+ K1 * M + K2 * N, and K is a constant; secondly, the numerical values of M, N and CSR of three different groups of the lean coal are substituted into the second formula in the first step, and then K, K1 and K2 are obtained; the numerical values of K1, K2, Mj, Nj, M and N are substituted into the first formula, P is obtained, and the larger P is, the better the lean coal quality is. The degree of the quality of lean coal from different sources can be determined, the lean coal from different sources can be reasonably distributed and utilized by coke making enterprises, the quality of the coke is stably improved, and the fluctuation range of thermal performance is reduced.

Description

technical field [0001] The invention belongs to the field of coal chemical industry, and in particular relates to a method for establishing a lean coal quality evaluation model. Background technique [0002] In China's coal classification, lean coal is divided into volatilization > 10.0-20.0%, and cohesion index G value > 20-65. From the coal classification indicators, it can be seen that the upper and lower ranges of the lean coal G value range are up to 45. Due to the large difference in coal quality and coking structure of lean coal with different G values, and the G value is apparent, it only represents the cohesiveness of coking coal, and has no direct relationship with thermal properties. Therefore, the G value can neither It is better to evaluate the coal quality characteristics of lean coal, but it cannot accurately characterize the influence of different quality lean coal on coke quality, and it cannot guide how to reasonably allocate lean coal in coal blendin...

AI Technical Summary

Problems solved by technology

Due to the large difference in coal quality and coking structure of lean coal with different G values, and the G value is apparent, it only represents the cohesiveness of coking coal, and has no direct relationship with thermal properties. Therefore, the G value can neither It is a good way to evaluate the coal quality characteristics of lean coal, but it cannot accurately characterize the influence of different quality lean coal on coke quality, and it cannot guide how to rationally use lean coal in coal blending and coking

Images