Blending Coal And Analysis Bonding Index Of The Coal

In recent years, with the rapid development of Chinese steel industry, the quantitydemanded of coke is increased. The contradiction between coking coal and the cokequantity demanded is highlighted. At the same time, the blast furnace volume is largerand larger and the technology of pulverized coal injection with enrichment oxygen blowis adopted, so the requirement for coke quality is also increasing. Optimization blendingand prediction of coke quality are became the research point.Based on the classification of the coal, there are five ranks of commonly usedcoking coal, including fat coal, coking coal,1/3coking coal, gas coal and lean coal.Firstly, the binary blending coal in the same rank was conducted by a certain proportion.Then, the binary or ternary blending coal between the different ranks was conductedrespectively, in which the choice project of coal ranks were carried out as following: fatcoal with coking coal,1/3coking coal with lean coal, and coking coal,1/3coking coalwith lean coal, respectively. The bonding index of the blending coal were analyzed,mainly include caking index (G value), plastic layer (Y, X value), Gieseler fluidity andAudibert-Arnu dilatation (a, b value). The weighted disciplinarian of the blending coalof same and different rank, and the relationships between the bonding index and thequality of coke was studied.The bonding index was satisfied to the weighted disciplinarian when thedifferences between calculated values and measured values of caking index and plasticlayer were very small, and the temperature range of the softening and solidification wasoverlapped; the bonding index was not satisfied the weighted disciplinarian when thedifferences between calculated values and measured values of caking index and plasticlayer were large, such as△G>45，△Y>6mm, and the temperature range of thesoftening and solidification was a little or not overlapped.It was put forward firstly that the coal blending based on the rank classificationwas conducted. According to analysis results of the bonding index of blended coal, themeasured value and calculated value of the blended coal was compared. The bondingindex of blended coal had the weighted disciplinarian in a certain range. We can predictthe cohesive properties of blended coal according to the bonding index of single coal ifthe best weighting intervals were found. Fourthenmore, the aim of optimization coal would be approached, and the experiment cycle would be reduced, the productionefficiency would be largely improved too.