硅钢资料

对冷轧无取向硅钢在冶炼过程中各个工序的顶渣进行了检测,分析了顶渣变化原因,并得出结论:硅钢生产宜采用复吹转炉,以降低吹炼终点渣中TFe含量,进而减轻对精炼的压力;使用低S、低Al2O3含量中间包覆盖剂;RH脱氧及合金化顺序采用先加硅铁后加铝;首罐宜经LF提温并降低渣中TFe。 The top-surface slag used for the various production processes in smelting coldrolled non-oriented electrical steel is tested and based on tested results the cause of the top surface slag change is analyzed.So it is concluded that the combined blown converter is more suitable to be used for smelting electrical steel in order to reduce the content of TFe in slag at blow end point and then much better results can be achieved during the period of refining.Secondly the tundish flux contenting low co... 

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... 

分析了电感耦合等离子体发射光谱法(ICP-AES)测定硅钢中铌的检测过程,讨论了该检测过程中不确定度的主要来源,建立了该方法的定量的数学模型,并根据这一模型计算出了检测结果的合成标准不确定度和扩展不确定度。 The measurement of niobium content in silicon steel by inductively coupled plasma atomic emission spectrometry(ICP-AES) was analyzed,by which the main factors affecting the uncertainty of the measurement were ascertained and the calculation formula was given.Finally,according to the formula the combined uncertainty and expanded uncertainty were obtained. 

基于BOF→RH→CSP生产工艺,研究了RH精炼过程钢中夹杂物类型演变及MgO·Al2O3夹杂物形成规律,同时对MgO·Al2O3夹杂物的形成条件进行了热力学计算,借助CFD数值模拟软件研究了RH精炼过程卷渣行为。研究发现,RH精炼过程20和30 min时,w([MgO])/w([Al2O3])为0.005~0.020,未发现MgO·Al2O3夹杂物;RH出站后夹杂物w([MgO])/w([Al2O3])为0.3~0.5,且RH精炼结束后MgO·Al2O3夹杂物占夹杂物总量的58.4%;另外,RH精炼过程钢液表面速度CFD模拟结果为0.57 m/s,大于临界卷渣速度0.45 m/s,且顶渣成分与夹杂物成分相近,存在卷渣现象。热力学计算表明,钢液与炉渣平衡时钢中w([Al])为0.31%~0.37%,w([Mg])为0.00024%~0.00028%,在MgO·Al2O3生成区域之内。减少RH处理过程卷渣,浇铸过程下渣及控制顶渣和包衬相中MgO质量分数可抑制MgO·Al2O3夹杂物形成。 Based on the practical production of non-oriented silicon steel, the evolution of inclusion type and the formation of MgO·Al2O3inclusion were analyzed in the process of BOF→RH→CSP. The thermodynamic conditions for forming MgO·Al2O3inclusion were discussed and the behavior of slag entrapment of molten steel was also simulated by CFD software during RH refining. The results showed that the value of w([MgO])/w([Al2O3]) was in the range of 0.005-0.020 and no MgO · Al2O3 inclusion was observed at 20 ... 

【作者】 谌剑； ...

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... 

对商用50W330型无取向硅钢成品在930℃下保温2 h固溶并以不同方式冷却处理,利用磁性检测仪检测分析了处理前后的磁感和铁损变化,应用光学显微镜、扫描电子显微镜、X射线衍射仪观测分析了显微组织结构的演变。考察了平均晶粒尺寸、织构组分比及第二相粒子状态对磁性能的影响规律,结果表明:固溶处理前后平均晶粒尺寸的变化对硅钢磁性能的影响非常显著;当平均晶粒尺寸相差不大时,织构组分比[Goss+{100}]/{111}越大,磁感会越高;固溶处理会将细小弥散的第二相粒子重新回溶到基体中,减小了其对磁畴壁的钉扎作用,铁损随之下降。 The commercial 50W330 non-oriented silicon steel samples were heat treated at 930℃ for 2 h and cooled in different ways,then the iron loss and the magnetic induction of the samples before and after solution treatment were measured with a magnetic detector.The evolution of microstructural texture was analyzed by optical microscopy,scanning electron microscopy and X-ray diffractometry.The effects of average grain size,texture composition ratio and the second phase particles on the magnetic propert... 

主要研究了氧化锌对以Al(H2PO4)3为基料的无铬无取向硅钢绝缘涂层各项性能的影响.用盐雾实验和动电位极化研究了不同氧化锌含量对硅钢绝缘涂层的耐蚀性和电化学行为的影响.采用SEM和体视显微镜对涂层的表面形貌和附着性能进行研究.结果表明,氧化锌含量为4.0%时,氧化锌能完全中和涂层表面的游离磷酸,涂层的耐蚀性和附着性最好;氧化锌含量过少或过多时,涂层的耐蚀性和附着性都较差. This paper studies the influence of zinc oxide on the performance of chromium-free non-oriented silicon steel insulating coating which based on aluminum dihydrogen phosphate.Salt spray experiment and potentiodynamic polarization were used to study the influence of zinc oxide content on the corrosion resistance and electrochemical behavior of the insulation coating of silicon steel.The surface morphology and adhesion of coating were tested by SEM and stereo microscope.The results show that when t... 

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... 

Fe-6.5%Si高硅钢是一种具有高磁导率、低矫顽力和低铁损等优异软磁性能的合金,但是其室温脆性和低的热加工性能严重影响了其在工业领域的应用。综述了Fe-6.5%Si高硅钢的性能,评述了合金的改性法、特殊轧制法、快速凝固法、沉积扩散法、粉末冶金法等制备工艺。 It is well known that 6.5%Si high silicon steel is one kind of soft magnetic materials with higher re-lative permeability,lower coercive force and iron loss than those of conventional industrial silicon steel.However,their room-temperature embrittleness and poor workability limit their practical applications in the industry.The pre-paration technique such as modification treatment on alloy,special rolling,rapid solidification,CVD and powder me-tallurgy is reviewed. 

通过微观组织表征、高温拉伸和断口形貌分析,研究了钇(Y)元素对6.5%Si无取向硅钢组织、高温拉伸及断裂机制的影响。研究结果表明,添加Y元素可以在钢液中形成YS和YP的复合析出。YS和YP可以充当异质形核基底,提高形核率,细化凝固组织。热轧组织不均匀,由表层至芯部分别形成等轴晶、等轴晶/拉长晶和拉长晶的混合组织。退火后,热轧变形组织转变为等轴晶,含Y实验钢的退火组织得到明显细化。500℃时效处理后,含Y实验钢具备较低的有序度,300℃的拉伸断口呈现韧性断裂特征,断后伸长率达到20.2%。相反,无Y实验钢发生脆性断裂,断后伸长率仅为2.1%。研究结果证实,Y元素可以通过组织细化和降低有序度提高6.5%Si无取向硅钢的中温塑性。 The effects of yttrium(Y)on microstructure,elevated-temperature tensile properties and fracture mechanism of 6.5% Si non-oriented electrical steel were investigated by means of microstructure characterization,high-temperature tensile test and fracture analysis.The results showed that the doping of Y introduced composite Y-rich precipitates(YS/YP)in the melt.YS and YP precipitates were qualified for heterogeneous nucleation agents,which thus raised the nucleation rate and refined the solidificati... 

硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re...