Study on Application of 6σAnalysis Method in the Silicon Content in Hot Metal
YU He
YANG Xin
Abstract：In this article, the production data of 2 800 m3 BF in a steel plant were collected. Combined with the Six Sigma Management Method, the method of Causal matrix analysis, Correlation analysis and Regression analysis were used on the silicon content in hot metal and the parameters were selected by Minitab software. It can be determined that the silicon content in hot metal was mainly influenced by small particle coke rate, smelting intensity, slag basicity and hot metal temperature. The comprehensive contribution rate for silicon content in hot metal reached 81.5%. By increasing the amount of small coke rate and slag basicity, decreasing the hot metal temperature and smelting intensity appropriately in the ironmaking process, the maximum of silicon content in the hot metal was controlled up to 0.497%, the average of Si was up to 0.476%, it was decreased by 0.05%.
Keywords：hot metalsilicon contentsix Sigma management methodMinitabregression analysis
Publication Date：2015-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：3( 32-34 )