硅钢资料

依据GB/T 15616—2008《金属及合金的电子探针定量分析方法》,采用电子探针波谱仪对某W600硅钢中的硅含量进行了定量测定,对影响其定量测定结果的不确定度分量进行了分析,并对不确定度的各个分量进行了计算和合成,最后给出了硅钢中硅含量测定结果的不确定度报告:该硅钢中的硅含量(质量分数)为1.50%,扩展不确定度U=0.20%,取包含因子k=2。 According to GB/T 15616-2008\"Quantitative Method for Electron Prohe Microanalysis of Metals and Alloys\",the quantitative results of Si content in some W600 silicon steel was measured hy EPMA-WDS.The uncertainty components which might affect the measurement results were considered,calculated and synthesized. Finally the uncertainty result for the quantitative value of Si content in the silicon steel was got.The mass content of Si was 1.50%,and expanded uncertainty U=0.20%under the condition of co... 

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... 

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... 

结合实际生产0.4%Si无取向硅钢，统计了不含Sn和0.025%Sn无取向硅钢的磁性能变化，利用金相显微镜、X射线衍射仪观察分析不同成分下试样的显微组织和微观织构。试验结果表明：Sn元素可以显著降低无取向硅钢的晶粒尺寸，0.025%Sn试样的平均晶粒尺寸比不含Sn减小28.4%;加入Sn元素后抑制了无取向硅钢中不利于磁性能的{111}面织构组分强度，提高了对磁性能有利的{100}面织构组分强度，0.025%Sn与不含Sn相比磁感均值从1.756 T提升至1.768 T,铁损均值从5.476 W/kg降低至5.204 W/kg,明显改善了无取向硅钢磁性能。 In this paper combined with the actual production of 0.4% Si non oriented silicon steel, the magnetic properties of non oriented silicon steel without Sn and 0.025% Sn were counted. The microstructure and microtexture of samples with different compositions were observed and analyzed by metallographic microscope and X-ray diffraction. The results show that: Sn can significantly reduce the grain size of non oriented silicon steel, and the average grain size of 0.025% Sn sample is 28.4% smaller tha... 

通过对3%Si CGO硅钢进行恒变形速率、不同变形温度下的单道次压缩实验,结合Thermal-Calc软件,金相分析,SEM及EBSD技术,研究了取向硅钢热变形过程中组织和微观织构的变化规律。结果表明:实验钢是在双相区变形,变形后组织主要是铁素体和少量的珠光体。随变形温度的升高,晶粒由长条状变为等轴状,尺寸逐渐变大;CGO硅钢在热变形过程中立方{100}<001>取向是较为稳定存在的。随着变形温度的提高,{111}<110>等取向逐渐转向{110}<1 10>取向,且{110}<1 10>取向逐渐变得锋锐。 3% Si CGO silicon steel was studied at constant strain rate and different deformation temperatures by single-pass compression deformation experiments to reveal the evolution of microstructure and texture during thermal deformation in oriented silicon steel,and the Thermal-Calc software,metallurgical,SEM and EBSD technique was used in the experiment. The results show that experimental steel is deformed at the temperatures of two-phase zone. The microstructure of the deformed steel consists of fer... 

通过热力学计算与模拟试验研究了含钒钛取向硅钢中氮化物析出相的析出规律与析出行为,并探讨了含钒钛元素的氮化物析出相作为薄板坯连铸连轧流程制备取向硅钢中辅助抑制剂的可行性.研究表明,在所冶炼的含钒钛取向硅钢的成分范围内,Ti N在钢液凝固末期便具备析出的热力学条件,而Al N与VN只可能在凝固后的α+γ或α+Fe3C两相区内析出.含钒钛取向硅钢中氮化物析出相以成分复杂的复合析出相为主,且随着钒钛加入量的增加,钢中抑制剂析出相总的分布密度由于含钒钛元素的氮化物析出相的增加而明显提高,使抑制剂抑制初次再结晶晶粒正常长大的能力得以加强,最终成品的磁感应强度值B8由1.857 T提升至1.898 T.同时,加入不高于0.007%的Ti与不高于0.005%的V不会影响中间脱碳退火工序的脱碳效果以及高温退火净化阶段硫、氮的脱除效果,其形成的含钒钛元素的纳米级氮化物析出相适合作为薄板坯连铸连轧流程制备取向硅钢的辅助抑制剂. The precipitation behavior of nitride precipitates in grain-oriented silicon steel containing vanadium and titanium elements produced by thin slab casting and rolling process was studied by thermodynamic calculation and simulation experiment. The feasibility of nitride precipitates containing V and Ti elements as auxiliary inhibitors was also investigated. It is found that Ti N is likely to precipitate at the final stage of solidification in the grain-oriented silicon steel,but VN and Al N can p... 

采用磁控溅射方法,分别在纯Fe以及低硅钢基片上沉积富Si膜,并对其进行真空扩散热处理.通过能谱分析及X射线衍射研究了Si在纯Fe与低硅钢基体中的扩散特征,运用DICTRA软件建立了扩散模型.研究发现Si在纯Fe基体中扩散时发生γ-Fe(Si)→α-Fe(Si)相转变,扩散速率受控于相界面的迁移.当沿截面Si含量梯度不足以驱动相界面正向迁移时,延长扩散时间会发生相界面回迁现象,最终趋于单一相内均匀化扩散过程.Si在低硅钢基体中的扩散符合Fick扩散第二定律. Si-rich films were deposited on pure iron and low-Si steel substrates by direct current magnetron sputtering,and then were subjected to vacuum annealing.The distribution characteristics of Si across Fe and low-Si steel substrates were studied by energy spectrum analysis(EDS) and X-ray diffraction(XRD).DICTRA software was used to simulate the diffusion models.It is found that the diffusion behavior of Si in the Fe substrate is from γ-Fe(Si) phase to α-Fe(Si) phase and the rate of diffusion is con... 

采用CVD法制备6.5%Si高硅钢,介绍了具体的制备工艺过程,研究了温度对渗硅速率和试样质量减轻的影响,同时分析了扩散时间对高硅钢中硅分布的影响。结果表明:在CVD反应过程中,反应温度高于1050℃将大大提高渗硅速率,但当温度大于1200℃后,渗硅速率趋于稳定;渗硅后,试样会减轻、减薄,随着温度升高,试样质量减轻的速率逐渐增大,在1200℃左右趋于稳定;扩散时间越长,硅分布越均匀,结合制备效率进行考虑,满足Δw表-中/b≤5的时间为适宜的扩散时间。 6.5%Si high silicon steel was manufactured by using CVD method and the process was introduced,the influence of temperature on the siliconizing rate and quality reducing rate,diffusion time on silicon distribution were investigated.Results as follows: the siliconizing rate will increase quickly when the temperature is higher than 1050 ℃,but the siliconizing rate will become steadily as the temperature up to 1200 ℃;The quality reducing rate will increase with the elevating of temperature and the r... 

取向硅钢热轧板中组织、织构梯度对发展完善的二次再结晶十分关键,通过对2种不同热轧工艺生产取向硅钢的组织、织构进行研究,结果表明:采用后道次大压下热轧工艺时热轧板表层再结区晶粒平均尺寸增加,再结晶区厚度增加,高温退火后二次晶粒尺寸减小;采用后道次大压下热轧工艺热轧时,热轧板中平均等效应变高,热轧板厚度心部{100}〈011〉和{100}〈001〉位向取向强度降低,({111}～{113})〈110〉位向取向强度提高,高温退火后{110}〈001〉位向偏离角降低,磁性能提高。 The texture and microstructure gradient in hot rolled grain oriented silicon steel strip was one of the essential factors to achieve a perfect secondary recrystallization.The texture and microstructure of grain oriented silicon steel strip as-rolled with two different hot rolling parameters was investigated.The results show that with big reduction at the end rolling process,the intensity of {100}〈011〉 and {100}〈001〉 orientation reduces with({111}-{113})〈110〉 orientation intensity enhanced in hot... 

为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio... 

试验研究了退火温度(850~950℃)和时间(5~18 min)对2.3 mm热轧硅钢板(/%:0.036C,3.15Si,0.21Mn,0.005P,0.007S,0.032A1)6道次轧制的0.35 mm冷轧板组织和织构的影响。结果表明,退火温度越高,晶粒平均尺寸越大,900℃5 min退火时平均晶粒尺寸41.39μm,试样织构主要集中在γ取向线上的{111}<112>织构组分和{111}<110>织构组分;900℃18 min退火时平均晶粒尺寸为48.08μm,试样的{111}面织构和{112}面织构密度都明显减弱,{001}面织构增强,磁性能较优。 The effect of annealing temperature(850 ~950 ℃) and holding time(5 ~ 18 min) on structure and texture of 0.35 mm sheet by 6 passes cold-rolling from 2.3 mm hot-rolled plate of silicon steel(/%:0.036 C,3.15 Si,0.21 Mn,0.005 P,0.007 S,0.032A1) has been tested and studied.Results show that the higher the annealing temperature the coarser the average grain size;As annealing at 900 ℃ for 5 min the average grain size of steel sheet is 41.39 μm,and the texture in sample is mainly concentrated in y orie... 

【作者】 朱传芳； 潘恒韬； ...