| Summary: | 碩士 === 國立中興大學 === 化學工程學系所 === 102 === Iron and steel industry is a basic property, the fundamental of national economic development and construction, any countries in the pursuit of higher productivity. For the purpose of increasing the production of steel, it is important to reduce the liquid iron losses associated with the slag from the slag port. In this study, we use computational fluid dynamics (CFD) to simulate the three-phase flow for slag-metal separation. The three-phase fluid includes liquid iron, slag and air. Moreover, the Taguchi method was used to optimize the influence of each factor in separation of slag-metal.
This study is divided into two parts. The first part discusses the influence on fixed geometry of blast furnace trough for iron-metal separation. The controlling factors are the ratio of iron and slag, the height difference of slag port and iron dam, the opening height of skimmer and the iron mass flow rate.When the ratio of iron to slag is 8:1, the height difference between slag port and iron dam is 0.15m, the opening height of skimmer is 0.25m and the iron mass flow rate is 15 ton/min, the optimizing separation efficiency is 100% of the iron-slag. The height difference between slag port and iron dam is the main factor of iron-slag separation efficiency, which the contribution is 50.67%.
The other investigates the influence on variable geometry of blast furnace trough for iron-slag separation. The controlling factors are the width of blast furnace trough, the angle between slag port and blast furnace trough, the opening height of skimmer and the iron mass flow rate. When the width of blast furnace main trough is varied from 1.196m to 1.42m, the angle between slag port and blast furnace trough is -30?, the opening height of skimmer is 0.25m and the iron mass flow rate is 20 ton/min. The optimizing separation efficiency is 93.89% of the iron-slag. In the variable geometry of blast furnace trough, the opening height of skimmer is the main facter of iron-slag separation efficiency, which the contribution is 80.11%.
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