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X70管线钢180 t LF深脱硫精炼工艺的优化
引用本文:邹长东,赵家七,周彦召,耿涛,丁振涛.X70管线钢180 t LF深脱硫精炼工艺的优化[J].特殊钢,2013,34(5):47-50.
作者姓名:邹长东  赵家七  周彦召  耿涛  丁振涛
作者单位:江苏省沙钢 1 钢铁研究院 ;2 宏发炼钢厂,张家港 215625
摘    要:X70管线钢的生产流程为KR铁水预脱硫-180 t BOF-LF-RH-板坯连铸工艺。通过优化精炼渣成分和造渣制度,以及根据底吹流量(400-700 L/min)对终点S]的影响,制定了LF深脱硫工艺。生产试验结果表明,通过控制精炼渣成分(/%)45~55CaO、30~40Al2O3、≤10SiO2、≤10MgO、≤1.5(TFe+MnO),造渣时分两批(首次出钢过程第二批LF到站加入)或多批加入石灰,精炼过程根据炉渣情况适当调渣,LF精炼脱硫期的底吹气体流量为500~700 L/min,可在40 min内将钢液S]降低到10×10-6以下,满足了管线钢快速深脱硫的需求。

关 键 词:180tLF精炼  X70管线钢  深脱硫  底吹气体流量  工艺优化  
收稿时间:2013-04-24

Optimization of 180 t LF Deep Desulphurization Refining Process for Pipeline Steel X70
Zou Changdong , Zhao Jiaqi , Zhou Yanzhao , Geng Tao , Ding Zhentao.Optimization of 180 t LF Deep Desulphurization Refining Process for Pipeline Steel X70[J].Special Steel,2013,34(5):47-50.
Authors:Zou Changdong  Zhao Jiaqi  Zhou Yanzhao  Geng Tao  Ding Zhentao
Affiliation:1 Research Institute of Iron and Steel , 2 Hongfa Steelmaking Works , Jiangsu Shasteel , Zhangjiagang 215625)
Abstract:The production flow sheet for pipeline steel X70 is KR metal pre-desulphuration-180 t BOF-LF-RH-slab CC process. With optimization of refining slag ingredient and slagging operation, and based on effect of bottom gas blowing rate (400-700 L/min) on end S] , the LF deep desulphurization process has been schemed. Pilot production results show that by controlling refining slag ingredient (/% ) 45-55CaO, 30-40Al2O3, ≤10SiO2 , ≤10Mgo, ≤1.5(TFe + MnO) , with the technology measures including during slagging the lime being added in two separate batch (first in tapping, second at beginning of LF refining) or being added in multi-batch, during LF refining according to slag condition adjusting ingredient of slag, and bottom gas blowing rate 500-700 L/min during LF desulphurization period, the sulphur content in liquid- S] could be decreased to lower than 10 x 10-6 in 40 min to meet the requirement of quick deep desulphurization for pipeline steel.
Keywords:180 t LF Refining  Pipeline Steel X70  Deep Desulphurization  Bottom Gas Blowing Rate  Process Optimization  
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