钢厂
轧制力优化对20辊冷轧硅钢厚度精度的影响
轧制力是影响冷轧带钢厚度精度的关键因素。为实现高精度的冷轧带钢厚度控制,通过优化变形抗力模型参数和摩擦系数模型参数提高冷轧轧制力模型计算精度,并使用指数平滑法的自学习算法保证轧制力精度的稳定性。在首钢股份公司迁安钢铁公司20辊森基米尔轧机生产线进行S12硅钢钢种轧制力优化试验,将优化的模型参数应用于L2并投入现场生产,结果表明该优化方法不仅提高了轧制力设定精度,而且减小了冷轧硅钢的厚度超差长度,提高了成材率。 The rolling force is the key factor which influences the accuracy of cold-rolling strip thickness. To implement high precision control of cold-rolling strip thickness,we optimize the deformation resistance model parameters and friction coefficient model parameters to improve the calculation precision of cold-rolling force model,and use exponential smoothing self-learn algorithm to ensure the stability of rolling force accuracy. In Shougang Qiangang 20-high Sendzimir mill single stand production ...
稀土处理无取向硅钢中夹杂物的控制
结合工业化生产的高效硅钢,进行了RH精炼稀土处理试验研究。针对不同的稀土处理条件,观察了夹杂物的形貌和尺寸分布,探讨了稀土处理后钢中的夹杂物形成、变化规律。结果表明:试验条件下,最佳的稀土合金添加数量为0.6~0.9 kg/t。经过合适的稀土处理后,可以有效抑制尺寸相对较小的、不规则的AlN、MnS复合夹杂生成,促进钢中微细夹杂物的聚合、上浮,钢质纯净度得到明显提高。此时,钢中全氧含量最低,脱硫效果最佳,钢中的夹杂物主要是尺寸相对较大的、近似球形或者椭球形的稀土类夹杂。 Based on the industrial production of non-oriented silicon steel,the experiment on RE treatment during the RH refining process was studied.The morphology and the size distribution were observed for the steel specimens treated with different RE treatment conditions.Further more,the formation and change of inclusions of final steel sheets after RE treatment were discussed.The results show that the suitable RE added amount was 0.6~0.9 kg/t.After the suitable RE treatment,the formation of AlN and Mn...
RH精炼工艺对无取向硅钢MgO·Al_2O_3夹杂物演变影响及控制
基于BOF→RH→CSP生产工艺,研究了RH精炼过程钢中夹杂物类型演变及MgO·Al2O3夹杂物形成规律,同时对MgO·Al2O3夹杂物的形成条件进行了热力学计算,借助CFD数值模拟软件研究了RH精炼过程卷渣行为。研究发现,RH精炼过程20和30 min时,w([MgO])/w([Al2O3])为0.005~0.020,未发现MgO·Al2O3夹杂物;RH出站后夹杂物w([MgO])/w([Al2O3])为0.3~0.5,且RH精炼结束后MgO·Al2O3夹杂物占夹杂物总量的58.4%;另外,RH精炼过程钢液表面速度CFD模拟结果为0.57 m/s,大于临界卷渣速度0.45 m/s,且顶渣成分与夹杂物成分相近,存在卷渣现象。热力学计算表明,钢液与炉渣平衡时钢中w([Al])为0.31%~0.37%,w([Mg])为0.00024%~0.00028%,在MgO·Al2O3生成区域之内。减少RH处理过程卷渣,浇铸过程下渣及控制顶渣和包衬相中MgO质量分数可抑制MgO·Al2O3夹杂物形成。 Based on the practical production of non-oriented silicon steel, the evolution of inclusion type and the formation of MgO·Al2O3inclusion were analyzed in the process of BOF→RH→CSP. The thermodynamic conditions for forming MgO·Al2O3inclusion were discussed and the behavior of slag entrapment of molten steel was also simulated by CFD software during RH refining. The results showed that the value of w([MgO])/w([Al2O3]) was in the range of 0.005-0.020 and no MgO · Al2O3 inclusion was observed at 20 ...

