硅钢资料

分析了太原钢铁(集团)有限公司第二炼钢厂80 t RH生产冷轧硅钢脱碳、脱硫原理及影响因素,认为通过合理控制RH到站钢水碳和氧含量、加大插入管内径、采用快速抽真空度等可提高脱碳效果。降低顶渣中FeO和MnO含量,保证脱硫剂加入后的循环时间可以提高RH脱硫率。 The present article analyzes the principle of decarburization and desulfurization in refining the cold rolled silicon steel in the 80 t RH in No.2 Steelmaking Plant of Taiyuan Iron & Steel(Group) Corp.,and its influencing factors.It’s determined that the decarburization effect can be achieved by properly controlling the cabon and oxygen contents in the hot metal coming into the RH station,enlarging the inner diameter of snorkel and adopting the fast evacuation method.In the meanwhile the des... 

组织和织构是影响无取向硅钢性能的重要因素。为改善产品性能，研究了冷轧压下率（71.7%～87.0%）对高牌号无取向硅钢组织、织构、磁性能和力学性能的影响。结果表明，随冷轧压下率的增加，退火晶粒平均尺寸先减小后增大；高斯和立方织构强度减弱，γ纤维织构增强，α纤维织构转变为较强的α^*（{h, 1, 1}〈1/h, 1, 2〉）织构，并随冷轧压下率的增加而增强，同时其峰值逐渐向{111}面移动；工频铁损P_1.5/50、高频铁损P_1.0/400和磁极化强度J₅₀₀₀同时降低，屈服强度变化不大，表面硬度逐渐增加。当冷轧压下率由84.7%增至87.0%、厚度减至0.30 mm时，高频铁损降幅是工频铁损的11倍，表面硬度增幅变大。以上研究成果对硅钢减薄后织构及组织的优化提供了很好的指导。 Microstructure and texture are critical factors on non-oriented silicon steel properties. In order to improve product properties, this paper studied the effect of cold rolling reduction rate（71.7%-87.0%） on microstructure, texture, magnetic properties and mechanical properties of high-grade non-oriented silicon steel. The results show that with the increase of cold rolling reduction rate, the average size of annealing grain decreases first and then increases. The intensity of Goss and λ fiber te... 

【作者】 胡志强； 张文康； ...

阐述了国内外高磁感取向硅钢的生产研究水平与发展趋势,包括通过提高高斯晶粒取向度、细化磁畴、涂覆张力涂层、减薄钢片厚度进一步降低铁损以及低温加热技术和短流程技术新工艺。分析高磁感取向硅钢在我国大型电力变压器上的应用情况,结果表明,发展更薄规格高磁感、低铁损、低磁致伸缩取向硅钢可为大型变压器的安全性、节能性及环保性提供有效保障。 The research progress and development trend of high magnetic induction grain-oriented silicon steel at home and abroad are summarized,including the technology of improving the Goss alignment,refining domain wall,adding stress coating,decreasing thickness of sheet,and the new technique of reducing heating temperature of casting slab and shortening operational.Moreover,the application of high magnetic induction grain-oriented silicon in power transformer is presented.Developing grain-oriented sili... 

目前高磁感冷轧硅钢生产过程中，采用经验方法确定的乳化液流量设定值往往会造成硅钢产品的磁感性能达不到预期目标，针对此情况，基于轧机轧制机理研究了的乳化液流量数学模型，确定了乳化液流量设定值。实践表明，使用该数学模型输出的乳化液流量设定值，可提高轧制过程中乳化液流量控制精度，从而提高高磁感冷轧硅钢的轧制性能。 In view of the current production process of high magnetically inductive cold-rolled silicon steel, the mathematical model of emulsified fluid flow based on mill rolling mechanism is studied in view of the situation in which the magnetic sensing performance of silicon steel products is often not up to the expected target by using empirical method to determine the emulsified liquid flow setting. Practice shows that the emulsified fluid flow setting value output from this mathematical model improv... 

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp...