硅钢资料

采用XRD、SEM和激光粒度仪等手段,观察并研究了不同特性氧化镁在硅钢表面形成硅酸镁底层形貌特点,并结合热力学和差热-失重分析了MgO-SiO2的反应机理。研究结果表明:粒度小,活性值高的特种氧化镁在高温退火过程中与基体表面氧化物生成的硅酸镁底层,界面中硅酸镁底层嵌入基体较多,表面致密,颗粒细小,有利于形成附着性能优良的硅酸镁底层。 Surface microstructure of Mg2SiO4 coatings formed on the surface of oriented silicon steel coated with different kinds of MgO was investigated by XRD and SEM.The reaction mechanism between MgO and SiO2 was analyzed by TG-DSC and thermodynamic calculation.Results revealed that when the MgO with finer microstructure size and higher activity is employed,a dense Mg2SiO4 layer with finer microstructure and good binding to the steel substrate can be obtained.The results are very helpful for the prepar... 

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 ... 

热轧轧制工艺对产品性能和轧制稳定性影响很大,对中低牌号无取向电工钢,当在两相区轧制时,热轧塑性明显降低,板形变坏,易出现边裂等情况。以50W1000为例,通过对其变形抗力进行研究,得出把两相区控制在F4与F5之间为最佳轧制工艺的结论。在此基础上制定了一套较为合理的热轧工艺制度。采用新的轧制工艺后,50W1000热轧精轧的稳定性明显改善,热轧产品合格率由开发初期的40%左右提高到95%以上。 The hot rolling process has great influence on product′s performance and rolling stability.For the low medium grade non-oriented electrical steel,when non-oriented electrical steel is rolled in tow phase region,the hot rolling plasticity reduces obviously,the shape of strip goes bad and easily to crack at the edge.The deformation resistance of 50W1000 steel was investigated.The results show that the optimal rolling process is to control the two phase region between F4 and F5.Based on the results... 

【作者】 陈迪安； 李春生； ...

研究了退火温度和退火时间对电沉积硅钢试样中的断面层组织、硅在试样中的分布情况、织构分布和磁性能的影响。结果表明:退火温度为1000℃、退火时间为210 min时得到的试样晶粒分布均匀、硅在试样中分布均匀、硅平均浓度为6.3715%(接近6.5%)。试样的织构分析及磁性能检测的结果表明,在较高温度下延长退火时间可增加{100}和{110}面织构,降低铁损,所得试样的磁性能较为良好。 The effect of annealing temperature and time on the microstructure, distribution of silicon,texture and magnetism of the high silicon steel prepared by electrodeposition was investigated. The results showed that after annealing at 1000℃ for 210 min, the mean grain size of steel was about 190 μm with a uniform grain size distribution, and the silicon is also uniformly distributed on the entire cross section with an average Si concentration 6.3715%(close to 6.5%); With the increasing annealing tim... 

冷轧无取向硅钢（/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N）经890℃或940℃3 min常化的2.3 mm热轧板冷轧成0.35 mm薄板。研究了常化温度和800⁹20℃3 min退火对该钢高频（400Hz）磁性能和抗拉强度的影响。结果表明,830⁹20℃退火时高频铁损P_10/400值最低,随退火温度增加,晶粒尺寸增大,钢的抗拉强度降低;该钢的最佳热处理工艺为常化温度940℃,退火温度830℃,其抗拉强度R_m、高频铁损P_10/400和磁感应强度J₅₀分别为565 MPa,21.5 W/kg和1.69 T。 The cold-rolled non-oriented silicon steel（/%:0.003C,2.35Si,0.22Mn,0.011P,0.002S,0.36A1,0.003 0N） is cold-rolled to 0.35 mm sheet from 2.3 mm hot-rolled plate normalized at 890 ℃ or 940℃ for 3 min.The effect of normalizing temperature and annealing process at 800 ⁹20 °C for 3 min on high frequency（400 Hz） magnetic properties and tensile strength of the steel has been tested and studied.Results show that with annealing at 830 920 ℃the high frequency iron loss value P_10... 

通过测试取向硅钢不同工艺条件下的碳含量,探讨了CGO取向硅钢碳含量控制的最优处理条件,研究了脱碳温度和脱碳时间对相同初始碳含量取向硅钢的脱碳效果的影响。结果表明,在气氛为(15%~20%)H2+(75%~80%)N2,炉压差为10~20 Pa的条件下,CGO取向硅钢合适的脱碳温度为1 073 K~1 123 K,脱碳时间为10~20 min。在该处理条件下,能取得较好的脱碳效果。 By means of testing carbon content of oriented silicon steel below the distinct technical conditions,inquires the excellent handle terms of carbon content controlling for CGO oriented silicon steel,studies effects of decarburization annealing temperature and decarburization annealing time to the oriented silicon steel decarburization efficiency in same initial carbon content.The results show that,under the condition of atmosphere(15% ~ 20%) H2+(75% ~ 80%)N2 and furnace pressure difference 10 ~ 2... 

基于TEAM(Testing Electromagnetic Analysis Methods)Problem 21基准模型和不同类型的磁化曲线Bm-Hm及Bm-Hb数据,分别在50 Hz至200 Hz的频率范围内计算了基准模型的硅钢叠片内的损耗及磁通,并考虑集肤效应和材料的电-磁各向异性的影响。数值计算结果与实验测量结果具有很好的一致性。提出的有限元建模方法和基于模拟结果的分析、结论有助于提高大型电力变压器的电磁设计的有效性。 Based on TEAM(Testing Electromagnetic Analysis Methods) Problem 21 standard model and the different B-H(such as Bm-Hm and Bm-Hb) curves,the iron loss and magnetic flux inside the grain-oriented(GO) silicon steel lamination are modeled under different frequency(from 50 Hz to 200 Hz) in this paper,And the influences of skin effect and electric-magnetic anisotropy on the numerical simulation results have been examined.The calculated and measured results with respect to the model are in good agreeme... 

利用电子探针面分析、状态分析及电子背散射衍射相分析技术研究硅钢高温氧化铁皮的显微结构。电子探针面分析可以直观的看出元素的分布状态,初步判断氧化铁皮的结构,而状态分析可以准确表征常规氧化铁皮中铁元素的状态,对于合金元素富集区域则通过电子背散射衍射相分析技术来标定。结果表明,高温氧化铁皮的结构主要有4层,即最外层为厚度约为10μm的Fe2O3相,次外层为Fe3O4相,中间层为FeO相上分布有颗粒状的Fe3O4相,最内层为FeO相和Si元素富集的Fe2SiO4相。其中Fe2SiO4层的分布特征与加热温度密切相关:1 100℃时,Fe2SiO4相呈颗粒状,弥散分布在FeO层;1 200℃时,Fe2SiO4相呈液态,侵入基体和疏松的FeO层,且沿着FeO晶界呈网状分布。 The microstructure of high temperature oxide scale on silicon steel was characterized by electron probe microanalyzer(EPMA)mapping analysis,state analysis and electron backscatter diffraction(EBSD)phase analysis.The element distribution and the initial structure of the oxide scale could be detected by EPMA mapping analysis apparently.And the state of iron in the conventional oxide scales could be determined by state analysis.Meanwhile,the alloy-rich region could be identified by EBSD phase analy... 

【作者】 汤婧； ...

【机构】 武汉钢铁学院轧钢七二级电工钢结业小组； ...

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...