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Influence of Top Slag Chemistry on Micro Inclusion Characteristics and Sulfur Refining for LCAK Steel

机译:顶渣化学成分对LCAK钢微观夹杂物特性和硫精炼的影响

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The influence of top slag chemistry has been studied on a low-carbon aluminium killed (LCAK) steel grade has been studied at the SIDERAR steel plant. Samples of slag and steel were collected and the temperature was measured for five heats at four stages during ladle furnace treatment. Cleanness was determined using optical microscopy for number and size distribution and Scanning Electron Microscopy (SEM) for the composition. The results from the evaluation show that the best removal of inclusions is obtained during the sulfur refining period. This is probably due to strong stirring by gas that promotes the growth of inclusions by turbulent collisions and separation of inclusions due to Stoke's flotation as well as bubble flotation. It was also shown that the number of inclusions increased during the final stirring period due to a late addition of aluminum and a too short stirring period. The alumina inclusions were found to contain more CaO and MgO for those heats where the sulfur refining was good. This indicates that the good mixing between slag and steel that is necessary for an effective sulfur refining also affects the inclusion compositions. A theoretical parameter study focusing on the optimum thermodynamic conditions for sulfur refining based on results from plant trials was also carried out. The sulfur distribution was determined by calculating the sulfide capacity using a model developed at KTH and by using the well established theories for sulfur refining. It was found that the equilibrium sulfur distribution is increased when i) the (%FeO)/(%Al_2O_3) ratio increase ii) the aluminum content in the steel increase, and iii) the temperature decrease.
机译:已经在SIDERAR钢铁厂研究了顶渣化学对低碳铝镇静(LCAK)钢牌号的影响。收集炉渣和钢的样品,并在钢包炉处理过程中的四个阶段对五个炉次的温度进行测量。使用光学显微镜确定清洁度的数量和尺寸,并使用扫描电子显微镜(SEM)测定该组合物的清洁度。评估结果表明,在硫精炼过程中,杂质的去除效果最佳。这可能是由于气体的强烈搅拌,它通过湍流碰撞促进了夹杂物的生长,并且由于斯托克浮选以及气泡浮选而导致了夹杂物的分离。还显示出由于最后加入铝和太短的搅拌时间,在最后的搅拌期间夹杂物的数量增加了。对于硫精制良好的那些加热,发现氧化铝夹杂物包含更多的CaO和MgO。这表明有效地精炼硫所必需的炉渣与钢之间的良好混合也会影响夹杂物的组成。还进行了基于工厂试验结果的理论参数研究,重点研究了硫精制的最佳热力学条件。通过使用KTH开发的模型计算硫化物容量并使用完善的硫精炼理论来确定硫的分布。发现当i)(%FeO)/(%Al_2O_3)比增加,ii)钢中铝含量增加,iii)温度降低时,平衡硫分布增加。

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