钢厂
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 ...
无取向电工钢硫含量控制技术研究
针对采用含钒铁水生产无取向电工钢存在的铁水脱硫率低、转炉冶炼过程回硫量大、成品硫含量偏高的问题,通过对含钒钛铁水脱硫,减少转炉冶炼过程回硫以及RH脱硫技术等方面的研究,大幅度降低了电工钢成品硫含量。生产表明钢中w(S)=0.001 9%～0.006 9%,平均为0.004 2%;w(S)≤0.008%的比例达到了100%,且w(S)≤0.005%的比例也达到了91.43%。 In cognizance of the problems of low desulphurization rate for hot metal,large sulfur-recovery in converter as well as high sulfur content in products in producing non-orientation electrical steel with vanadium-content hot metal countermeasures have been carried out.Sulfur content in non-orientation electrical steel is decreased obviously by way of study on technologies of desulphurization for hot metal with vanadium & titanium,sulfur-recovery control in converter and desulphurization in RH ...
西昌钢钒200t RH生产无取向硅钢的工艺实践
对西昌钢钒炼钢厂200 t BOF(顶底复吹)-RH-CC工艺生产50PRW800无取向硅钢RH精炼过程中主要成份进行了分析。找出了目前工艺中影响钢液质量的主要因素是钢水脱氧处理不彻底,造成加入的部分硅元素烧损。操作工艺改为铝的脱氧即合金化操作一步完成,保证了钢水中氧处于一个较低的范围,从而减少对硅元素的烧损,提高合金收得率。 The factors of BOF-RH-CC process affecting the compositions of liquid steel were systematically investigated and studied of Xichang Steel and Vanadium Company. The main factors affecting the steel cleanliness were picked out. All results showed that the loss of silicon elements resulting from the deoxidization of liquid steel was not completely. It was suggested that the addition of aluminum for deoxidizing and alloying of molten steel was executed as one step in order to lower the oxygen potent...
常化温度对热轧无取向硅钢组织与磁性能的影响
为研究常化温度对热轧无取向硅钢组织与织构的影响,采用光学显微镜、背电子散射衍射技术研究了不同常化温度对其影响。结果表明,实验硅钢板在700～850℃温度下常化时,随常化温度的升高,晶粒尺寸增大,有利组分α织构增强,不利组分γ织构降低。对比研究了800℃和850℃常化热轧板CSL晶界分布图与取向差分布图,在本文研究条件下,Goss织构易在Σ=3,9的CSL晶界及晶粒取向差为30°～55°处形成。 The hot strips normalized at different temperatures were investigated by optical microscope and EBSD to study the effect of normalizing temperature on microstructure and texture of hot-rolled non-oriented silicon steel sheets.The results show that the grain size increases,the intensity of α-fibre texture increases,and the γ-fibre texture decreases when the hot strips are normalized at the 700-850 ℃.And CSL boundaries of Σ=3 and 15,and misorientation angles between 30° and 55° are more likely rel...
硅钢常化退火炉辊印缺陷预测分类预警方法研究
针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...
高Cu无取向电工钢的制备
运用EBSD和光学显微镜,研究了0.25%~0.45%Cu对无取向电工钢热轧板显微组织,成品板显微组织、织构和磁性能的影响。实验结果表明:卷取过程中Cu元素在热轧板表层的偏聚作用显著阻碍了热轧板表层再结晶晶粒长大,导致热轧板表层晶粒尺寸随着Cu含量增加而逐渐较小,但热轧板中间晶粒尺寸变化不大。同时发现Cu元素能够明显改善织构类型,使有利织构组分增加,不利织构组分减少,同时减弱织构强度。从实验结果可知0.35%Cu能够显著改善电工钢的磁性能,铁损P15/50最低达到4.1 W/kg,磁感B50最高值达到1.8 T。 Effects of high content Cu on microstructure of hot rolled plates and microstructure,texture and magnetic properties of annealed finish product plates of non-oriented electrical steel were examined by means of EBSD technique and optical microscope. The results show that surface segregation of Cu significantly hindered recrystallized grain growth of surface layer in hot rolled plate during the coiling,as a result,the surface grain sizes of the hot-rohed plates decrease with the increase of Cu con...
120t转炉冶炼无取向硅钢脱硫技术研究
结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ...
冷轧无取向硅钢的边缘降控制优化研究
某冷连轧机生产无取向硅钢板材时,其边缘降的长度合格率频繁超标。为满足用户的叠片厚度精度要求,这类产品必须以增大切边量的方式来保证交货质量,而这种方式又直接降低了金属收得率,提高了生产成本。基于此,以该产线现有设备特性为基础,详细分析其软、硬件功能模式,分别对辊形与反馈控制进行全面分析与优化改进。通过现场试验论证,充分明确依托辊形优化与反馈控制程序的改进能显著提高边缘降的控制水平,该技术的使用为生产现场的边缘降控制提供了合理的技术支撑。 A cold rolling mill production of non-oriented silicon steel sheet,the thickness difference of the edge( edge-drop) is usually exceed the preset standard value,In order to meet the accuracy requirements of the user flatness,these production must be trimed wider length to meet the delivery quality of the user need, which directly reduce the metal yield and increase the manufacturing cost. Therefor,the software and hardware of the production line has been analyzed, and the work roll shape and feed...
