硅钢资料

采用扫描电镜、原子力显微镜研究了铬酸镁半无机绝缘涂层的微观结构。结果表明,涂层厚度为数微米,涂层中的有机树脂乳液颗粒均匀分布在无机涂层的表面,从而保证了涂层具有良好的冲片性能。采用极化曲线研究了涂层的耐蚀性能,发现铬酸镁与铬酸锌绝缘涂层的耐蚀性能相当。 In this paper,the microstructure and anti-corrosion property of magnesium chromate coating on non-oriented silicon steel were studied.The microstructure was observed by SEM and AFM.The anti-corrosion properties were evaluated by polarization curves.The results show that the thickness of coating is several microns and the polymer particles were scattered on the surface of inorganic coating,which is the guarantee for lamination property.The corrosion resistance of the magnesium chromate film was e... 

研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable. 

研究了应用电感耦合等离子体质谱法(ICP-MS)测定硅钢中痕量铜和镍的分析方法。采用硝酸分解样品,通过内标校正和基体匹配消除了基体干扰的影响,同时根据测量时存在的质谱干扰情况,选择同位素65Cu和60Ni作为测定元素和通过调节仪器参数使双电荷离子的产率最低,以减少带来的干扰。该方法用于硅钢中痕量铜和镍的测定,所得的结果与ICP-AES法测定结果完全吻合,各元素测定结果的RSD值小于5%,加标回收率为97.3%～100.3%。 A method for the determination trace copper and nickel in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was studied.The samples were dissolved in HNO3.The effect of matrix interference was eliminated by internal standard correction and matrix matching.Meanwhile,according to the mass spectral interferences in determination,the isotopes including 65Cu and 60Ni were used as measuring elements.The yield of double-charge ions were minimized by adjusting instrumental parameters... 

针对传统工艺生产硅钢周期长、能耗大等缺点,采用双辊连铸工艺制备3%Si无取向硅钢连铸薄带,利用MEM,SEM和TEM观察了铸带的组织、织构及析出物,同时对比了Al的质量分数为0.6%和0.9%的连铸薄带在组织、织构及析出物特征方面的异同.结果表明:双辊连铸工艺生产的3%Si无取向硅钢铸带的组织为均匀等轴晶粒,平均晶粒尺寸约为300μm;织构组成随Al质量分数的不同具有明显差别,Al质量分数为0.9%的铸带中{100}织构强度是随机织构的7倍;铸带中的析出物为AlN和MnS,最大尺寸分别为500和50 nm左右. Given the lengthy production cycle,high energy consumption,and other shortcomings of the traditional process for producing silicon steel,a twin-roll casting process was used to produce 3%Si non-oriented silicon steel casting strips. MEM,SEM,and TEM were used to compare micro-structure,texture,and precipitate characteristics of a casting strip containing 0.6%Al with another containing 0.9%Al.The structure of 3%Si non-oriented silicon steel produced by the twin-roll casting process was a uniform i... 

取向硅钢因其高磁导率、低矫顽力和大电阻系数等特性，被广泛应用于大中型变压器和大型电动机铁芯的制造。因取向硅钢性能和成分控制严格，生产工艺复杂，故其产品代表了钢铁企业特殊钢生产的最高水平。本文介绍了新钢公司卷板厂1580热连轧线生产取向硅钢过程中出现的窄尺问题，研究了取向硅钢产品的特点，分析了热轧过程中的组织转变，并结合生产实际提出了改进措施。通过对加热炉钢坯加热模式、粗轧轧制策略、精轧轧制工艺、二级模型等方面的优化和改进，取向硅钢窄尺情况明显好转，提高了产品的成材率和市场口碑。 The oriented silicon steel is widely used in the iron core manufacture of large and mediumsized transformers and large motors because of its high permeability, low coercivity and large resistance coefficient. Due to the performance and composition control of oriented silicon steel is strict, the production process is complex,therefore, its products represent the highest level of special steel production in iron and steel enterprises. This paper introduces the problem of narrow gauge in the produ... 

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... 

目的提高硅钢的磁性能。方法采用多弧离子镀技术,在普通取向硅钢薄板两面沉积高硅FeSi合金层制得高硅梯度硅钢,并进行热处理,观察其显微组织,测量磁性能。结果退火态高硅梯度硅钢表面的高硅FeSi合金层与基底结合紧密,均匀致密。高硅梯度硅钢中硅含量呈梯度分布,最表层硅质量分数为11.0%,随着深度增加,硅含量逐渐降低,在距表面20μm处硅质量分数仍能达到6.5%。沉积态高硅梯度硅钢的电阻率ρ、低频铁损P10/50、高频铁损P10/1k及磁感应强度B8分别为68.6μΩ·cm,0.82W/kg,83.3 W/kg和1.73 T,退火后分别为63.1μΩ·cm,0.44 W/kg,54.38 W/kg和1.89 T。结论由于表层高硅FeSi合金层的存在,梯度高硅钢的低频磁学性能良好,但高频损耗需进一步改善。 Objective To improve the magnetic properties of silicon steel. Methods FeSi alloy coatings with high-silicon content were deposited on the surface of common grain-oriented silicon steel by cathodic arc plasma evaporation,and then a kind of high silicon gradient steel was prepared. The morphologies,content and magnetic properties of the samples were tested. Results FeSi alloy coatings were featured with compact microstructures and excellent adhesive quality with the substrates. The silicon conten... 

为开发高效电机用冷轧无取向电工钢,借助实验室薄板坯连铸连轧模拟设备及扫描电镜、透射电镜等检验手段研究了成分、组织、织构和析出物等对无取向电工钢磁性能的影响规律;结果表明:常化处理使组织均匀化并增加有利于磁性提高的织构组分;采用CSP流程开发的高效电机用无取向电工钢铁损平均值3.4 0 W/kg,磁感≥1.68 T。 In order to develop electrical steel for high efficiency motor,effect of components,microstructure,texture and precipitation on magnetic property of electrical steel are analyzed.From the result,normalizing treatment makes microstructure uniform and increases component of favorable texture.Iron loss of electrical steel developed by CSP line is 3.40W/kg and magnetic induction is more than 1.68T. 

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... 

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the... 

通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%～0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%～0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%～0.81%。 The effect of 0.26%～0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%～0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in... 

提出以“云边一体化架构”构建硅钢智慧决策系统，来解决原硅钢制造L1～L5系统架构模式下的数字信息孤岛、业务功能割裂等问题。在此基础上，开发了云边协同的自学习型控制模型及业务决策模型，构建起硅钢“智慧大脑”，形成了以研发、制造、服务等核心业务数字化融合的智能化决策支持新模式，探索出一条钢铁制造业数字化、智能化转型之路。 SIDS(Silicon-steel Intelligent Decision-making System)based on \"cloud-edge integration architecture\" was proposed to solve the problems of data silos and business function fragmentation in the original L1～L5 system architecture.On this basis,the self-learning control model and decision-making model of cloud-edge collaboration were developed,the \"smart brain\" of silicon steel department was constructed,and a new intelligent decision-making support model of digital integration of core businesses s...