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首钢京唐护炉铁水成分及钛负荷定量分析 被引量:3

Quantitative analysis of hot metal composition and TiO2 load for effective furnace maintenance in Shougang Jingtang
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摘要 高炉炉缸侧壁温度升高是多数钢铁企业正在面临的严峻课题,加钛矿护炉是目前广泛使用的技术手段。为了达到预期的护炉效果、避免钛矿的浪费,以及避免过量钛矿对炉况的消极影响,根据首钢京唐公司两座高炉的炉缸侧壁温度变化数据,测量护炉铁水中的钛含量。通过线性回归分析,细化了相应铁水中的硅质量分数及钛负荷范围。结果表明,首钢京唐1号高炉铁水中钛质量分数应控制在0.055%~0.080%,硅质量分数控制在0.20%~0.35%,钛负荷控制在(6±0.5)kg/t;2号高炉的铁水中钛质量分数应控制在0.08%~0.13%,硅质量分数控制在0.30%~0.45%,钛负荷控制在(7±0.5)kg/t。生产中尽量维持稳定的炉温,减少波动,有利于保护炉缸内衬。此外,也需保证死料柱的活性,严格管控炉前作业,选择合理的冷却制度。 The abnormal temperature rise of the hearth side wall of a blast furnace is a hard nut to crack for many enterprises.Currently,the furnace maintenance by adding titanium ores is a widely used technique.In order to achieve the effective furnace maintenance free of the titanium ore waste,and to protect the blast furnace condition from the pessimistic effect of the excessive titanium ore,the quantification of suitable mass percent of Ti in the hot metal is made according to the change of the hearth side wall temperature of blast furnaces in Shougang Jingtang.And the ranges of the mass percent of Si in the hot metal and the charged TiO2 load are narrowed down by linear regression analysis.The results indicate that w(Ti)and w(Si)in the hot metal and the charged TiO2 load of the No.1 BF should be controlled in ranges of 0.055%-0.080%,0.20%-0.35%and(6±0.5)kg/t,respectively.While the three parameters mentioned above of the No.2 BF are 0.08%-0.13%,0.30%-0.45%and(7±0.5)kg/t,respectively.More importantly,the more effort should be devoted to stabilizing the smelting temperature in the actual production to the protect hearth side wall.In addition,agood activity of the dead stock,a standard operation in the cast house and a rational cooling system are necessary.
作者 张建 ZHANG Jian(Department of Ironmaking,Shougang Jingtang United Iron and Steel Co.,Ltd.,Tangshan 063200,Hebei,China)
出处 《钢铁》 CAS CSCD 北大核心 2019年第9期39-43,共5页 Iron and Steel
关键词 有效护炉 铁水中钛质量分数 铁水中硅质量分数 钛负荷 定量分析 effective furnace maintenance w(Ti)in hot metal w(Si)in hot metal titanium load quantitative analysis
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