硅钢资料

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... 

本发明公开了一种精确控制高磁感取向硅钢连铸坯Als成分的方法，本发明涉及的主要是高磁感取向硅钢生产过程的连铸工艺环节，负责将高温液态钢水浇注凝固成固态连铸坯。通过采取控制大包下渣、加入足量中间包覆盖剂、采用长水口+石墨垫圈+氩封保护浇注等方法，将精炼结束到连铸过程Als降低量稳定控制在0.0030～0.0045%范围内，稳定了二次氧化程度。通过采用本方法生产的连铸坯Als含量稳定在0.0245～0.0275%范围内，为提高取向硅钢产品的磁感和铁损性能奠定坚实的基础保障。

一种薄规格带钢或者硅钢尾部卷取控制工艺，属于热连轧带钢卷取设备技术领域，解决薄规格带钢和硅钢尾部起套导致卸卷异常、卷形合格率下降的技术问题。解决方案为：在卷取厚度小于等于2.3mm的带钢或所卷取带钢的材质代码等于硅钢的材质代码的情况下，带钢尾部到达精轧F2机架时，G辊道速度V1=K1×D×ω×π/60；带钢尾部继续前行并到达精轧F6机架时，G辊道速度V2=K2×D×ω×π/60；在卷取厚度大于2.3mm的带钢且所卷取带钢的材质代码不等于硅钢的材质代码的情况下，G辊道投滞后速度的滞后率取值范围为90%~70%。本发明具有设计合理、工作效率高、产品质量好、可有效避免产品缺陷等优点。

对RH法(真空循环脱气法)生产的冷轧硅钢的脱硫原理及影响因素进行了分析研究。研究表明:降低顶渣中FeO、MnO的含量,提高钢液温度,增加脱硫剂的加入量并延长其循环时间有利于提高脱硫效率。 The principles of desulfurization and its influence factors of cold rolling silicon steel during RH process have been studied in this paper.The result indicated that reducing contents of FeO and MnO,rising temperature of the liquid steel,increasing quantity of desulfurizer,lengthening cycle time of desulfurzer are benefit for desulfurization. 

本发明涉及电力、冶金领域，尤其涉及一种轧制高牌号硅钢焊缝免冲孔的方法。一种轧制高牌号硅钢焊缝免冲孔的方法，包括如下步骤：步骤一：“一选”，步骤二：“二看”，步骤三：“三按”，步骤四：“四调整”。本发明的有益效果是：1、满足测量精度要求，符合工艺要求，为连轧机硅钢的生产提供了强大的技术保障。2、该方案采用低成本设计，运行稳定性较高，测量精度达标，如推广使用，将为使用单位节省大量设备费用，符合降本增效的原则，具有较大推广价值。

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... 

针对硅钢连续生产线设备存在的故障、隐患以及精度等影响产品质量的问题进行分析及改造,实现保证生产线设备稳定运行、提高设备精度及硅钢产品质量的目的。 This paper analyzes and transforms the electrical equipment failures, risks existed in slicon continuous production line, and the effect of accuracy to product quality, in order to ensure stable operation of equipment in production line and improve the accuracy of device, quality of silicon. 

以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling. 

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...