Evaluation method of single coal blending coking efficiency

Abstract

The invention relates to an evaluation method, in particular to an evaluation method of single coal blending coking efficiency. First, single coal coke forming tests are performed as follows: performing coke oven testing on each kind of single coal, and simulating the actual coking production state; after coke is refined, determining experimental results including the mechanical strength and the post-reaction strength of the single coal coke; establishing a same coal test database, and comparing and analyzing data; then a database of the mechanical strength and the post-reaction strength of the single coal coke and blended coal refining coke is established as follows: testing or producing blended coal, and establishing a machine account; establishing a single coal and blended coal refiningcoke corresponding database; and calculating the mass of the single coal and data of the blended coal refining coke; and coke quality is predicted as follows: calculating the mechanical strength andthe post-reaction strength of the coke by use of a coal blending scheme and the mechanical strength and the post-reaction strength of the single coal for addition. The single coal blending efficiencyis improved, stable coke quality is ensured, and economic efficiency is improved.

Description

Technical field: [0001] The invention relates to an evaluation method, in particular to an evaluation method for the coking effect of blending a single type of coal. Background technique: [0002] The existing quality indicators of coking coal include volatile matter (Vdaf%) and ash content (Ad%). In actual production, coke strength (M25 and CSR) is often irrelevant or less correlated with volatile matter and the maximum thickness of the colloidal layer, resulting in the inability to accurately predict the coke strength index. This shows that the existing indicators do not fully reflect the characteristics of coking coal that affect the quality of coke. A quality index is added to the coking coal quality index, and the added quality index of a single coal has a strong correlation with the coke strength (M25 and CSR). Invention content: [0003] The present invention utilizes the maximum thickness of colloidal layer (Ymm) and cohesive index (G) to predict the inaccuracy o...

AI Technical Summary

Problems solved by technology

[0003] The present invention utilizes the maximum thickness of colloidal layer (Ymm) and cohesive index (G) to predict the inaccuracy of coke strength or even contradicts the reality, and increases the M25 and CSR prediction of coke strength of single coal coking to solve the problem of inaccurate prediction of coke strength , it is more accurate to predict coke strength