硅钢资料

本发明一种铝镇静含硅钢的脱氧方法，包括转炉冶炼、LF炉精炼工序，转炉工序：转炉出钢过程采用含硅脱氧剂进行脱氧，出钢完毕后，向钢液表面加入顶渣改质剂，数量为400±25kg/炉，所述顶渣改质剂的成分及其质量百分含量为：Al2O3：9％±1％，CaO：27.5％±1.5％，SiO2：3％±1％，Al：50％±2％，CaF2：7％±1％。精炼工序：采用铝脱氧剂进行脱氧、造渣。本发明通过两步脱氧工艺，大幅降低脱氧成本同时提高钢水质量，由于硅脱氧相对于铝脱氧在钢水中形成的夹杂物更容易上浮，所以也提高了钢水纯净度，提高钢水质量。

本发明涉及一种高压电机用无取向硅钢50SBW600的制备方法，包括，S1，将装有精炼钢水的钢包运至回转台，回转台转到浇铸位置后，将钢水注入中间包；S2，中间包通过水口将所述钢水分配至若干个结晶器中，所述结晶器中设置有浸入式水口，S3,钢水在结晶器内生成晶核，结晶器将带有晶核的钢水下放至通道；S4，通道上设有第二电磁搅拌器，第二电磁搅拌器对通道内钢水进行电磁搅拌,所述钢水在通道中逐步转换为钢坯；S5,拉矫辊将的所述钢坯拉出通道并对钢坯进行形态矫正；S6,切断装置所述钢坯进行切割。本发明通过在无取向硅钢50SBW600制备过程中设置双电磁搅拌装置，充分保证连铸过程中钢坯中的等轴晶数量，保障了产品表面缺陷质量。

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... 

选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af... 

磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d... 

借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ... 

对碳-锰-硅钢进行不同配分温度的Q&P(Quenching and Partitioning)处理,测试了热处理后不同钢的力学性能和残余奥氏体含量,并用扫描电子显微镜和透射电镜观察其显微组织,分析了配分温度对显微组织和力学性能的影响。结果表明:试验钢显微组织基本由低碳板条状马氏体、块状铁素体和条状残余奥氏体组成;随配分温度的升高,试验钢的抗拉强度呈下降趋势,伸长率与奥氏体含量的变化趋势相同,但变化规律不确定;提高锰含量能稳定残余奥氏体,从而提高试验钢的伸长率,并使伸长率对配分温度不敏感。 The C-Mn-Si steel was quenched and partitioned at different partitioning temperatures,the mechanical properties and residual austenite contents were investigated,the microstructure was observed by SEM and TEM,and the effect of partitioning temperature on microstructure and mechanical properties was analyzed.The results show that the microstructure of the tested steel consisted of lath martensite with low carbon,nubby ferrite and banded residual austenite.The tensile strength of the tested steel ... 

研究了硅钢铸坯再加热过程中夹杂物的析出行为。采用非水溶液电解提取+扫描电镜观察方法,观察了试样的显微组织,统计了夹杂物的尺寸、种类、数量、分布。结果表明,均热温度为1 523 K时,水淬试样的夹杂物尺寸绝大部分小于0.5μm,0.5～5.0μm的夹杂物数量很少,没有发现5.0μm以上的夹杂物。此外,均热时间为10、30、60、90、120、240 min时,对应试样中0.05～0.2μm的夹杂物数量分别为4.04×104、4.73×104、3.70×104、3.33×104、3.10×104、1.56×104个/mm3。绝大部分夹杂物以MnS、AlN、CuxS类为主,并以三类夹杂物中的两类复合或三类复合居多。三类复合夹杂物总量占每组试样夹杂物总量的90%或以上。随均热时间延长,典型的夹杂物组成会发生如下变化:MnS+AlN+CuxS MnS+AlN AlN。与此同时,MnS、AlN、CuxS三者复合比例从45.2%(均热10 min)降为9.7%(均热240 min)。 The methods of electrolysis extraction from nonaqueous solution and scanning electron microscope were adopted to study the precipitation behavior of non-metallic inclusions in Si steel slabs during reheating processes.The morphologies,chemical compositions,quantity and size distribution of non-metallic inclusions in these steel samples were analyzed.Results show that,when the soaking temperature is 1 523 K,almost all of the non-metallic inclusions are smaller than 0.5 μm,few are in the range of ... 

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... 

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... 

试验的铸态取向硅钢（/%:0.044⁰.056C,3.12³.32Si,0.08⁰.11Mn,0.002⁰.008S,0.002 9⁰.029 1Als,0.006 2⁰.010 9N）由30 kg高频真空感应炉熔炼。通过场发射扫描电子显微镜/能谱仪（FE-SEM/EDS）研究结果表明,0.002 9%Als钢中氧化物主要为SiO₂,存在片状、棒状及近似球状的独立MnS,未发现含铝的氧化物或氮化物;0.0090%Als钢中出现以Al₂O₃为主的复合氧化夹杂物,存在MnS与AlN的复合析出物。钢中Als增加,复合析出物多呈簇状发展。氧化物容易成为MnS-AlN复合析出的核心,钢中Als含量越低,夹杂物中的MnS含量越高;作为核心的氧化物夹杂的尺寸越小,形成的复合夹杂物的形状越规则,尺寸也越小。热力学计算结果表明,钢中Als含量主要影响了钢中氧化物夹杂的组成和AlN的析出温度及析出量。 Test as-cast grain-oriented silicon steel（/%:0.044 ⁰.056C,3.12 3.32Si,0.08 0.11Mn,0.002⁰.008S,0.002 9⁰.029 1 Als,0.006 2⁰.010 9N） is melted by a 30 kg high frequency vacuum induction furnace.The research results by using field emission-scanning electron microscope/energy dispersive spectrometer（FE-SEM/EDS） show that in 0.002 9%Als steel the main oxide is SiO₂,and there is independent laminable,rod-like and approximate ... 

本发明公开了一种硅钢环形炉内罩的内圆直径自动检测装置及方法，该内圆直径自动检测装置包括设置在检测点地面上的水平工作台，设置在所述水平工作台上的水平调节机构，设置在所述水平工作台上的扫描机构，以及与所述扫描机构通信互联的检测处理机构。该内圆直径自动检测装置是非接触式设备，不受内罩温度的限制，使用方便灵活，设备可靠性好，安全性高，对环境无污染，不仅能够有效节约校圆机的使用频次，而且大大增强了炉子的安全可靠性。