硅钢资料

采用非水溶液电解方法来提取无取向硅钢中夹杂物。通过扫描电镜(SEM)观察结果表明:无取向硅钢中主要夹杂物为六棱柱的AlN、不规则硅酸盐及球状的铁的硫化物和氧化物,其中AlN夹杂尺寸在1~5μm,数量较多,还有部分AlN的复合夹杂。进一步研究了AlN复合夹杂形成机理,采用了Thermo-Calc热力学计算软件计算出该钢样中AlN、MnS析出温度分别为1 240℃、1 200℃,而Al2O3析出温度大于1 800℃,从而为AlN复合夹杂形成机理提供了一个理论依据。 Extracting inclusions from non-oriented silicon steel in non-aqueous electrolysis is a nondestructive method to gain inclusions.Scanning electron microscopy shows that the main inclusions in non-oriented silicon steel were hexagonal AlN,which was of large quantity,irregular silicate,spherical iron sulfide and oxide.The size of AlN inclusions ranged from 1to 5μm,and there were some duplex inclusions of AlN.To further study the formation mechanism of AlN duplex inclusions,Thermo-Calc thermodynamic... 

作为一种具有优异高频铁磁性能的合金,Fe-6.5%Si(质量分数)高硅钢在高频工况条件下降损效果明显,对电气行业应用器件高频化、小型化、节能等具有十分重要的意义。通过与取向硅钢测量B-P数据对比,验证了高硅钢高频超低损特性,且轧制高硅钢与日本CVD法生产高硅钢存在基本相同的铁损值。采用国标Epstein Square法对0.30mm高硅钢薄板进行单片测试,并对由0.30mm高硅钢薄板首次装配成的电感器进行铁损测试,对比测试结果表明,元件测试与单片测试数据基本吻合,高磁感应强度条件下,元件测试结果略低于单片测试,分析原因为:线圈引起励磁压降;元件叠片间出现短路,电流增大,损耗增加;气隙板厚度过大。 As one core material with excellent high-frequency ferromagnetism,Fe-6.5%Si performs obviously reduction on core loss in high field frequency which means much to high frequency,minimization,energy conservation in electric industry.Super low loss was verified by drawing B-P curves based on detected experimental data,and which went equal to Fe-6.5%Si thin strip fabricated by CVD in Japan.Fe-6.5%Si was firstly fabricated as inductor in this research,and its core loss was determined for comparison w... 

【作者】 陶永根； ...

以市场上购买的取向硅钢成品板为原料，经不同压下率冷轧至0.23～0.08 mm不等。借助X射线衍射仪(XRD)检测了冷轧后样品中的织构组分及其含量，利用电子背散射技术(EBSD)测量了试样的取向因子分布情况。观察了孪晶的形貌与晶体学特征，分析了硅钢超薄带的塑性变形行为。结果发现，在平面压缩应力下，{112}<111>滑移系的取向因子较大。随冷轧压下率的增加，Goss织构的含量逐渐减少，{212}<141>织构组分的含量先增加后减少，{111}<112>织构组分的含量逐渐增加，织构组分以{110}<001>→{212}<141>→{111}<112>顺序演变。冷轧后样品中出现了孪晶，其晶体取向为{001}<110>,冷轧过程中孪晶取向没有发生变化。 The commercial finished oriented silicon steel plate as the raw material were rolled to 0.23-0.08 mm. With the X-ray diffractometer(XRD), the texture components and their volume fractions in the cold-rolled samples were detected. And the orientation factor distribution of the cross-section of the samples was measured by the electron backscattering technique(EBSD). The morphology and crystallographic characteristics of twins were observed, and the plastic deformation behaviors of the ultra-thin o... 

研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0～2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w... 

结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源，采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明：稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣，主要类型为Al₂O₃、MgO-Al₂O₃、CaO-Al₂O₃-MgO和CaO-Al₂O₃-SiO₂。非稳态浇铸过程钢水洁净度明显降低，热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w（CaO）/w（Al₂O₃）、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def... 

【作者】 党其； ...

森吉米尔二十辊轧机是冷轧电工钢的主要机型,具有整体刚度大,辊径小,轧制道次压下量大,产品精度高等特点,简要介绍了近年来冷轧电工钢森吉米尔二十辊轧机领域进展,在轧机结构、厚度自动控制、板形自动控制等方面的技术及研究。 20-h Sendzmir reversible mill is the main type of cold rolled electrical steel which has the characteristic of high integral stiffness,small roller diameter,high pass reduction and high product quality.In this paper,the recent progress of frame structure,automatic gauge control,automatic flatness control of Sendzmir mill is introduced. 

介绍在取向硅钢生产中抑制剂的作用以及多元抑制剂的机理和应用情况,分析多元抑制剂方案中各种元素对高磁感取向硅钢性能的影响,并根据生产实践提出了进一步研究的方向. The role of an inhibitor in the production of grain oriented silicon steel,and the mechanism of multiplex inhibitor in the production are described in the present article.In addition,the influence of various elements in the multiplex inhibitor on the performance of grain oriented silicon steel with high magnetic induction is elucidated.Further work needed in this research is also indicated. 

通过热力学计算及实验室研究,对钙处理前后50W600无取向硅钢退火冷轧板中夹杂物的类型、数量及尺寸进行了系统分析。结果表明,50W600无取向硅钢经钙处理后(w(Ca)=0.002 6%),钙在1 600℃的钢液中主要以固态的CaO·2Al2O3、CaO·6Al2O3及溶解钙的形式存在。在钢液的凝固过程中,钢中的溶解钙和硫反应生成了CaS和CaS-MnS复合夹杂,有效抑制了MnS的弥散析出,减少了钢中微细夹杂物的数量。同时钙处理促进了钢中微细夹杂物的聚合长大,导致显微夹杂物的数量增加。 Based on thermodynamic calculation and laboratory experiment,the type,quantity and size of inclusions in annealed cold-rolled steel sheets of 50W600 non-oriented silicon steel before and after calcium treatment were systematically studied.Results showed that after calcium treatment(w(Ca) = 0.002 6%),calcium was mainly in the form of CaO·2Al2O3,CaO·6Al2O3 and dissolved calcium in steel at 1 600 ℃.Dissolved calcium could combine with sulfur to form CaS inclusions and compound CaS-MnS inclusions du... 

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... 

【作者】 杨佳直； ...