硅钢资料

为开发高效电机用冷轧无取向电工钢,借助实验室薄板坯连铸连轧模拟设备及扫描电镜、透射电镜等检验手段研究了成分、组织、织构和析出物等对无取向电工钢磁性能的影响规律;结果表明:常化处理使组织均匀化并增加有利于磁性提高的织构组分;采用CSP流程开发的高效电机用无取向电工钢铁损平均值3.4 0 W/kg,磁感≥1.68 T。 In order to develop electrical steel for high efficiency motor,effect of components,microstructure,texture and precipitation on magnetic property of electrical steel are analyzed.From the result,normalizing treatment makes microstructure uniform and increases component of favorable texture.Iron loss of electrical steel developed by CSP line is 3.40W/kg and magnetic induction is more than 1.68T. 

利用OM,TEM,EDS与XRD技术,对Fe-3.15%Si低温取向硅钢热轧板不同常化处理后的显微组织、析出相及最终产品的磁性能进行了分析研究,并对热轧板和常化板经过冷轧后的冷轧板织构进行了对比分析.结果表明,采用1120℃保温3 min二段式冷却的常化处理工艺,常化板表层显微组织均匀,沿板厚方向的显微组织的不均匀性显著,对后续过程中形成高取向的Goss织构最有利,取向硅钢的磁性能最高;采用二段式冷却的常化冷却工艺最优,在此冷却工艺下析出的细小的析出物数量最多,且弥散分布在基体中,抑制剂的抑制效果最好,对成品获得高磁性最有利;热轧板、常化板经过冷轧后的冷轧板织构均主要由{111}〈110〉和{111}〈112〉织构组成,但常化板较热轧板冷轧后的冷轧板γ取向线织构密度明显增高,由此可以证实常化处理有助于取向硅钢最终获得高取向的Goss织构. The decreasing of slab heating temperature for grain-oriented silicon steel will reduce the amount of precipitates in hot rolled plate,and be disadvantage to the formation of ultimate Goss texture.The aim of normalizing is to control and adjust the amount,size and distribution of precipitates.Microstructures,precipitates and magnetic characteristics of finished products with different normalizing technologies for Fe-3.15%Si low temperature hot rolled grain-oriented silicon steel are researched,a... 

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... 

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 ~ ... 

无取向硅钢的磁性能主要取决于铁素体的晶粒尺寸、晶体织构和钢中的夹杂物。通过合适的化学成分设计以及采用适宜的夹杂物控制技术,可以获得最佳的夹杂物控制效果,使其纯净度大幅度提高或者无害,最终获得磁性能优良的高级别无取向硅钢。同时,为满足节能、环保、高效需求,无取向硅钢正朝着节能降耗、环境友好以及多功能、高效率、易加工等方向发展。 The magnetic properties of non-oriented silicon steel mainly depend on the grain size of ferrite,the crystallographic texture,and the inclusions in the steel.The optimum inclusion control effects can be obtained through a suitable chemical composition design and an appropriate inclusion control technique,and then the liquid steel will get be clean or the inclusion will get be harmless,finally the excellent magnetic property of the non-oriented silicon steel can be obtained.Meanwhile,in order to ... 

介绍了普通取向硅钢(CGO)和高磁感取向硅钢(Hi-B)铸坯高温加热两次冷轧、一次冷轧和铸坯低温加热两次冷轧、一次冷轧法4种成熟生产工艺的主要技术参数,取向硅钢理论研究(Goss晶核和抑制剂)和生产技术现状。取向钢的发展趋势为:提高(110)[001]晶粒取向度,降低取向硅钢铁损,发展铸坯低温加热(≤1 300℃)和薄板坯连铸连轧流程生产取向硅钢工艺。 Main technology parameters of four developed process:cast bloom higher temperature heating-double cold rolling or single cold rolling,lower temperature heating-double cold rolling or single rolling process for production of common grain oriented silicon steel(CGO) and high magnetic induction grain oriented silicon steel(Hi-B),theory research on grain oriented steel(Goss nucleus and inhibitor) and present situation of process are summarized in this paper.The development trend of grain oriented si... 

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... 

针对某硅钢车间ST机组的除尘系统除尘效率较低、排放浓度不达标、二次污染较严重的问题,通过现场调研,对除尘系统、含尘气体组分与物性参数等进行测试和分析,运用管道伴热技术改善粉尘黏性后,再选取合适的除尘器对粉尘进行除尘处理,大大地提高了系统的除尘效率。 To solve the problems of low dust removal efficiency, substandard emission concentration and severe secondary pollution, some investigations are conducted to test and analyze the dust removal system,dust-gas composition and relevant physical parameters.Moreover, dust removal efficiency is greatly improved by the use of pipe heat tracing technology and by choosing appropriate dust remover. 

无取向硅钢中夹杂物的存在会抑止晶粒生长,使基体的均匀连续性中断,其在钢中的形态、含量及分布情况都不同程度影响着硅钢的性能,尤其是对磁性能起关键的作用。因此,全尺度分布考察夹杂物对无取向硅钢夹杂物的研究极为重要。本实验确定了适用于不同牌号无取向硅钢夹杂物全尺度分布的分析方法:样品制备—小样电解—过滤喷金—根据不同牌号的要求选择合适的放大倍率扫描观测—夹杂物颗粒的分类统计。通过统计的结果,结合电解的失重量可以得到不同尺度的体积分布数据。实验分析了不同牌号和工艺无取向硅钢夹杂物的种类、形貌、大小和尺度分布,并初步考查了夹杂物与磁性能的关系,对无取向硅钢的工艺研究具有一定参考价值。 Inclusions in non-oriented silica steel could inhibit the growth of grain and cause discontinuity of micro-structure.The configuration,content and size distribution of inclusion have different effects on the performance of silica steel,especially significant on the magnetic property.Therefore,it is very useful to completely characterize inclusions with full size distribution in silica steel.In our research,full size analysis method for inclusion in silica steel had been established as follows: s... 

采用ZMLMC超高梯度定向凝固装置,研究了5种凝固速率(10、35、80、150和450μm/s)对定向凝固50W600无取向硅钢的固液界面稳定性转变规律和一次、二次枝晶间距的影响。研究结果表明,在特定的温度梯度下,随着凝固速率的增加,定向凝固的固液界面由胞状晶转变为胞状枝晶,再转变为细小的树枝晶。随着凝固速率的增加,定向凝固组织的枝晶形貌逐渐细化,一次和二次枝晶间距逐渐减小,且与冷却速率之间都符合指数关系:λ1=151.73×(G L·R)-0.31,λ2=22.07×(G L·R)-0.44。当冷却速率达到4.275℃/s时,一次、二次枝晶间距分别为112μm、14.1μm。 Under the conditions of certain temperature gradient and different solidification rate,the directional solidification experiment of non-oriented electrical steel 50W600 was carried out.The microstructure of 50W600 steel was also analyzed in different solidification rate.The result shows that the solid/liquid interface of the steel undergoes an evolution from cellular,cellular dendrite and finally to fine dendrite morphologies.The dendrite refines gradually and the distance between dendrites decr... 

对CSP流程生产的无取向电工钢M50W800不同尺寸样品的磁性能进行了测试和分析,结果表明:采用不同单片检测的磁性能结果与标准的Epstein方圈样品检测对比,存在明显的偏差;且同一尺寸的单片纵横向样品之间相比较,对应的磁性能差异性也较大。几种不同尺寸的单片样品,以320mm×30mm尺寸的纵横向平均值最接近标准Epstein方圈样的性能值,其铁损偏差最小。 The magnetic properties of M50W800 non-oriented electrical steel produced by CSP process were tested and analyzed with samples of different sizes,showing that significant deviation existed compared to that of Epstein square circle sample.In particular,obvious difference in magnetic properties also existed between longitudinal and transverse samples of the same size.For test samples of different sizes,the average magnetic properties of 320mm×30mm samples are the closest to that of Epstein square ... 

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...