Abstract:The blast furnace charging system needs to be adjusted in time according to the state of the furnace. However, the combined adjustment method of angle and ring number makes the selection of burden distribution matrix in many ways. There is also room for the selection of the specific adjustment range of angle and ring number, which will increase the subjectivity and randomness of the BF upper adjustment, and is not conducive to the stability and smooth operation of blast furnace. In order to solve the above problems, a charging system optimization method combining BF historical data traceability and numerical simulation is put forward. By analyzing the data of BF in the past three years, a part of the burden distribution matrix is selected based on the stability of the furnace condition. Then based on the above matrix conditions, the numerical simulation is used to graphically visualize and quantify the layer distribution so as to further verify the preferred results. The preferred matrix and corresponding feature information can constitute a matrix candidate library, which will enhance the reliability of matrix adjustment and selection basis, solidify the matrix use option, and help to promote the stability and smooth operation of BF.
王振阳, 戴建华, 江德文, 张建良, 杨天钧. 结合数据追溯与数值模拟的高炉布料制度优化[J]. 中国冶金, 2020, 30(11): 11-15.
WANG Zhen-yang, DAI Jian-hua, JIANG De-wen, ZHANG Jian-liang, YANG Tian-jun. Optimization of blast furnace charging system combining data traceability and numerical simulation[J]. China Metallurgy, 2020, 30(11): 11-15.