硅钢资料

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. 

借助OM、激光共聚焦显微镜、质谱仪和电解萃取等设备和方法，研究了添加微量稀土La（质量分数0.001 1%）的取向硅钢在轧制前采用不同加热保温时间对抑制剂固溶行为的影响。结果表明：当稀土取向硅钢在1 250℃分别保温10、20、30 min后，试验钢晶粒尺寸随保温时间延长有先快后慢的长大趋势；三种抑制剂元素Mn、Cu和Al均发生固溶，保温时间对Mn和Cu两种元素的固溶影响明显，固溶量分别由69.8%和43.7%增加至84.2%和85.2%；随着保温时间的延长，稀土取向硅钢中抑制剂的小尺寸未溶物逐渐减少直至消失，较大尺寸未溶物（300～600 nm）逐渐转变为小尺寸未溶物逐步溶入基体中，数量减少且未溶物的类型由复杂逐渐转变为单一。 In this paper the solid solution behavior of the inhibitor under various holding time in 0.001 1 %La oriented silicon steel during reheating had been investigated by using OM, LM, methods of electrolytic extraction and mass spectrometer. The results showed that grain size of the test steel increased significantly with the holding time prolonging when the rare earth oriented silicon steel was heated to1 250 ℃ and held for 10, 20 min and 30 min respectively, and the growth trend slowed down after ... 

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... 

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... 

采用火花源原子发射光谱分析测定电工钢中超低C,研究试样制备方法、Ar纯度和压力等条件对分析结果的影响,并对工作曲线进行了优化,实现了一次分析同时测定电工钢的多种元素,满足炉前和精炼在线分析的要求。 Ultra-low carbon in electrical steel is determined with spark-source atom emission spectrum.It is researched the influence of sample making method,purity of Ar,and pressure on analysis result.The work curve is optimized.The determination of many elements in electrical steel only in one analysis is realized.It meets demands of on-line analysis for blast furnace and refining. 

试验研究了0.3 mm取向硅钢冷轧板(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005A1)的退火温度(760~880℃7 min)和退火时间(820℃3~9 min)对该钢的晶粒尺寸,再结晶和织构的影响。结果表明,最佳初次再结晶退火工艺为820℃5 min,该钢的平均晶粒尺寸为14.20μm,完全再结晶率为92%,不利{111}<110>结构含量为3.16%,有利织构{111}<112>,{012}<001>和高斯织构含量分别0.40%,4.73%和2.46%。 The effect of annealing temperature(at 760 ~ 880 X.for 7 min) and time(at 820℃ for 3~9 min) on grain size,recrystallization rate and texture of 0.3 mm cold-rolled sheet of oriented silicon steel(/%:0.046C,3.07Si,0.09Mn,0.029P,0.004S,0.005Al) has been tested and studied.Results show that with optimum recrystallized annealing at 820℃ for 5 min,the silicon steel average grain size is 14.20 fun,the complete recrystaUization rate is 92%,the unfavourable-texture {111}< 110 > content in steel is ... 

采用双辊连铸工艺制备了硅的质量分数分别为0.5%,1.0%,3.0%,4.5%的硅钢薄带,用光学显微镜观察其组织,并研究了后处理工艺对薄带组织和性能的影响。结果表明:硅含量为0.5%和1.0%的薄带适合采用一次冷轧+850～950℃退火的后处理工艺,而硅含量在3.0%以上的薄带适合采用二次冷轧+950℃退火的后处理工艺;硅含量为3.0%和4.5%的薄带在冷轧并950℃退火后,其磁性能最佳,铁芯损耗约为4.30 W·kg^-1,磁感应强度约为1.68T。 Silicon steel thin strips with silicon content of 0.5wt%,1.0wt%,3.0wt%and 4.5wt%were prepared by twin-roll continuous casting process,and the microstructure of the strips were observed by means of optical microscopy,and on the basis,the effect of post-treatment process on microstructure and properties of the strips was studied.The results show that the post-treatment process of one-time cold rolling and annealing between 850—950℃was suitable for the strips with silicon content of 0.5wt%and 1.0wt... 

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... 

为了弄清楚高硫硅钢中的硫化物析出行为及其对钢的微观组织和电磁性能的影响，以便为工业化生产制定更为合理的硫含量控制标准和采取更为有效措施减轻炼钢生产的硫含量控制压力，结合0.25% Si 无取向硅钢 ，采用非水溶液电解提取 + 扫描电镜/透射电镜观察相结合的方法 ，研究了0.006 8%、0.010 2%、0.025 5% 和 0.035 3% 硫含量条件下，钢中的硫化物夹杂物组成和存在形式及其形貌、种类、尺寸、数量变化，以及相应的热轧、成品试样的微观组织和电磁性能变化。结果表明，随着钢中硫含量的增加，钢中的硫化物逐渐由 MnS→MnS+Cu₂S→Cu₂S转变，数量逐渐增多，尺寸向高低两个方向发展。相应地，导致热轧再结晶组织劣化和抑制了成品晶粒尺寸长大。随着钢中硫含量的增加，钢的磁感、铁损劣化程度逐渐增大。钢中的硫含量平均每增加 0.01%，涡流损耗、磁滞损耗分别劣化0.24 W/kg 和 0.41 W/kg，而磁感会劣化 0.009 T。但是 ，在硫含量为 0.010 2% 时 ，铁损可以低于 6.0W/kg，而在硫含量为 0.025 5% ... In order to find out the precipitation behavior of sulfide inclusions and the corresponding changes of microstructure and electromagnetic properties of high sulfur silicon steel sheets, so that to design more suitable sulfur concentration controlling limit for industrial manufacture and to release the steel-making difficulty effectively, Based on the change of given sulfur concentration 0.006 8%, 0.010 2%0.025 3% and 0.035 3%, the type and composition, the size and number, and the size distribut... 

针对川威950的工艺现状,结合无取向低硅钢SGG生产的工艺特点,主要从控制其钢坯加热和轧制以及终轧温度和卷曲温度几方面入手,进行无取向低硅钢生产的工艺控制研究。同时根据近6000吨的生产实践表明,该工艺措施能很好的满足该钢种的需要。 950 process Chuanwei status quo,with non-oriented silicon steel production process features low,mainly from the control of billet heating and rolling and finish rolling temperature and coiling temperature of several aspects,for non-oriented silicon steel production process of low control at the same time According to nearly 6,000 tons of production practice shows that the process measures could well meet the needs of the steel. 

取向硅钢常化工序主要采用现场实测带钢温度的方式测定冷却速率，并通过稳定冷却水温、调整冷却水量及喷梁运行数量等方式保证合理的冷却速率，给常化工艺设计和生产带来诸多不便。通过对常化工艺水冷过程带钢的传热分析求解，在建立带钢水冷温度模型的基础上，研究了不同冷却工艺参数对带钢温度及冷却速率的影响规律以及冷却工艺的交互作用结果。结果表明：模型计算结果能够较好地反映取向硅钢在常化水冷过程中的温度及冷却速率的变化，其计算误差为0.80%～4.11%;在特定取向硅钢厚度规格和常化工艺下，随着常化冷却水量及有效冷却长度的增加，带钢水冷温度及冷却速率与呈非线性变化；常化水冷工艺主要通过调控带钢与冷却水之间热交换量和交换时间实现对带钢温度的控制，实际生产中需综合考虑机组速度、冷却水量及有效冷却长度之间的交互作用，选定喷梁投入数量和冷却水量以获得稳定的冷却速率。 The cooling rate of normalization process mainly determined by measuring the grain oriented silicon steel strip temperature on site, and ensures the cooling rate by stabilizing the cooling water temperature, adjusting the cooling water volume and the operation quantity of spray beam, which brings inconvenience to the normalization process design and production. Based on the heat transfer of strip in the water cooling section of normalization process, the water cooling temperature model for the n... 

介绍了电工钢生产线连退机组的表面处理工艺,特别是电解清洗系统的工作机理、设备构造、生产工艺及各种影响因素。 This paper introduces the technology of surface treatment of continuous annealing unit in electrical steel production line,in particular the working mechanism,structure of equipment,production techniques and various influence factors of the electrolytic cleaning system.