Affiliation:
1. School of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China
Abstract
An optimization model for the fuel distribution of the material layer with mechanism models and algorithms is presented, which can reduce the fuel ratio of ore blending and enhance the fuel content in the upper layer to improve the homogeneity of the sinter quality. The actual fuel distribution of the material layer is analyzed through the granulation model and the theoretical fuel distribution for each unit is obtained using the numerical model. Then, the fuel particle size composition and segregation characteristics are optimized via the particle swarm optimization algorithm to bring fuel distribution close to the theoretical value, with a sum of their absolute values of 0.025. In comparison with the initial conditions, the fuel particle size composition conforms to a normal distribution with increased coarse particles, and the deviation of the granules from the vertical direction of the sinter layer decreases. Through this optimization method, the sinter bed with the ideal thermal profile can be achieved, namely uniform sintering along with a reduced coke ratio.
Funder
National Natural Science Foundation of China
Subject
Geology,Geotechnical Engineering and Engineering Geology
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