硅钢资料

无取向硅钢特别是中牌号以上的无取向硅钢,随着含硅量的提高,常温下塑性较差,冷轧过程中轧制力明显提高,如果存在原料质量问题,极易发生断带事故,影响硅钢冷轧过程的成材率和生产效率。通过优化冷轧工艺参数,可提高冷轧稳定性。生产中通过合理分配冷轧各道次压下量和轧制速度,保证了轧制过程的稳定,很大程度减少了冷轧断带事故的发生。 Non-oriented silicon steel, especially in the low and middle grade, with the increase of silicon content, plasticity is poor at room temperature, rolling force in cold rolling process significantly improved .If there is the quality defect of raw materials , easily sheet is rolling off. Affect finished product rate and production efficiency in process of cold-rolled silicon steel. Through optimization of cold rolled process parameter , improve the stability of cold-rolling process. Through reason... 

采用RH精炼添加钙合金方式对硅钢进行钙处理。结果表明,钙合金添加量为0.67、1.00、1.67kg/t钢时,钢中钙含量分别为0、2×10-6、4×10-6;随着钙合金添加量增大,钢中夹杂物粒度逐渐由0～2μm向2～4、4～6μm偏移;不同钙处理条件下,钢中均存在粒径小于1μm和粒径为1～5μm的MnS、CuxS夹杂物,后者或单独存在,或同AlN、CaS夹杂复合;粒径为5～10μm区间,钢中的夹杂物基本以钙的氧、硫化物为主。与钙处理前相比,钙合金添加量为0.67、1.00、1.67kg/t钢时,粒径小于1.0μm的微细夹杂物减少幅度分别为68.06%、87.50%、94.94%。钙合金添加量为1.67kg/t钢时,可以去除钢中绝大部分的微细夹杂物。 Ca alloy was added into the liquid steel during RH refining,and the results show that Ca concentration in final Si steel sheets is insignificant,about 0,2×10-6 and 4×10-6 when the added amount of Ca is 0.67,1.00 and 1.67 kg/t steel,respectively.With the increase in the added Ca alloy amount,the inclusions in the steel gradually change from those of 0～2 μm to those of 2～4 and 4～6 μm.Under different Ca treatments,there exist MnS and CuxS inclusions whose size is below 1 μm as well as MnS and CuxS ... 

叠片系数是冷轧无取向电工钢的重要质量指标。为了提高叠片系数,必须保证无取向电工钢板形良好以及横向厚差小。针对攀钢冷轧厂4机架HC轧机轧制无取向电工钢的边部减薄问题,以无取向电工钢横向厚差最小作为目标函数,建立了一套针对无取向电工钢边部减薄控制的辊型曲线优化数学模型,开发了无取向电工钢专用辊型曲线,使无取向电工钢横向厚差从25μm降低到10μm以下,取得了良好的控制效果。 The lamination factor is an important quality index of non-oriented silicon steel strip.Considering the lamination factor,the non-oriented silicon steel must have a good shape and a smaller transverse thickness difference.In order to solve the edge thinning of non-oriented silicon steel strip in Panzhihua Steel,a mathematic model for designing the roll shape is built.In the model,the transverse thickness difference of non-oriented silicon steel strip is taken as the objective function.Based on t... 

【作者】 潘恒韬； 刘涛； ...

为满足用户对无取向电工钢中硫含量的要求,采用CaO-CaF2复合渣系为脱硫剂,利用RH投入法对无取向电工钢进行深脱硫试验。试验结果表明,RH精炼渣成分控制在w CaO43%~51%、w Al2O325%~31%、w MgO4%~6%、w SiO29%~12%、w(FeO+MnO)3%~6%,在脱硫剂加入量为6~8 kg/t时,钢中平均硫含量从32×10-6降低到18×10-6,RH平均脱硫率为43.3%,最高达47.1%。利用KTH模型计算精炼终渣平均硫容量为0.003 1,RH精炼结束时渣-钢间实际平均硫分配比从14增加到52。 In order to satisfy the requirements of consumers on sulfur content in non-oriented electrical steel,taking( CaO-CaF 2) based flux as desulfurizer,industrial experiments on deep desulphurization of non-oriented electrical steel were carried out during RH process. The results show that as the compositions of refining slag are appropriately controlled with w CaO of 43% ~ 51%,w Al2O3 of 25% ~ 31%,w MgO of 4% ~ 6%,w SiO2 of 9% ~ 12%,and w( FeO + MnO) of 3% ~ 6%,and the desulfurizer added are at 6 ~ ... 

【作者】 朱传芳； 潘恒韬； ...

研究了铝和铬元素在无取向电工钢晶粒长大过程中对织构及晶界变化的影响规律。试验结果表明:电工钢在晶粒长大过程中的主要织构组分均为{111}<112>。在晶粒生长期间,不加铝的1号试样中,{111}<112>、{111}<110>织构组分强化,而{100}<001>织构组分弱化;与1号试样相比,在加入0.2%的铝(质量分数,下同)的2号试样中,{111}<112>、{111}<110>织构组分强化(增加)的速率下降,{100}<001>织构组分变化不明显,甚至稍有增加。在含铝的试样中再加入0.3 5%的铬之后(3号试样),{111}<112>{、111}<110>和{100}<001>织构组分的变化规律与1号试样相似,但当电工钢中加入0.72%的铬之后(4号试样),上述3种织构组分的变化规律与2号试样相似。对于在晶粒生长期间持续变化的3种织构组分而言,1号试样的{1 1 1}<112>和{111}<110>织构组分的高(低)取向差角度晶界频率下降(... The effect rule of Aluminm and Chromium on texture and grain boundary transformation in the nonoriented electrical steel during grain growth was investigated.The experimental result shows that the main texture component is {111}<112> in the electrical steel.The {111}<112> and {111}<110> components in specimen 1 without Alumium were strengthened during grain growth whereas {100}<001> component was weakened.But the growth rate of {111}<112> and {111}<110> compon... 

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... 

冷轧无取向硅钢是高技术含量、高附加值产品,工艺复杂,生产周期长,过程控制难度大,被誉为钢铁产品中的\"工艺品\"。热轧生产工艺又是无取向硅钢生产的重中之重,直接决定了硅钢的铁损和电磁性等多项指标。 Cold rolled non-oriented silicon steel is high technology content、high addedvalue product. Its process is complex, Its production cycle is of Length, and Its Process control is difficult. Which is known as the iron and steel products \" Arts and crafts\". Hot rolling production process is the top priority of non-oriented silicon steel, Which Directly determines iron loss of the silicon steel and electromagnetic property, etc many index. 

利用背散射衍射技术(EBSD)和XRD,研究了两段式脱碳退火工艺对取向硅钢纵截面初次再结晶的微区取向、取向差分布、特殊晶界(CSL)及高温退火试样高斯织构。分析了初次再结晶晶界特征对取向硅钢高温退火后宏观织构的影响。结果表明:初次再结晶的纵截面基体中Σ3和Σ5晶界使得高斯晶粒有着较高的迁移率,在高温退火时借助20o～45°的大角度晶界的界面能吞并周围{111}<112>晶粒迅速长大,形成密度水平较高的高斯织构。 Micro area orientation of primary recrystallization,the misorientation distribution,special boundaries under different two-stage decarburization annealing and the Goss texture under high temperature annealing the longitudinal section of grain-oriented silicon steel were detected by electron back scattering diffraction(EBSD) and X-ray diffraction(XRD).The effect of primary recrystallization grain boundary on macrotexture after high temperature annealing was analyzed.The results show that the Σ3 a... 

【作者】 刘彤； ...

分析总结退火工艺各参数对冷轧无取向硅钢磁性能的影响,结合设计和生产实践经验介绍退火工艺中各参数的实际生产取值,并针对现生产工艺过程中出现的典型问题提出解决办法。 It is analyzed and summarized the great influences on magnetism of cold rolled non-oriented silicon steel affected by various annealing process data in this article.The relevant settled ways is raised.According to the actual value presetting ways for various annealing process data based on design and production,as well as typical problems occurred during production.