硅钢资料

针对硅钢连续退火机组的主要能源介质消耗现状,对现有生产工艺和设备研究采取机组循环用水、增加清洗段漂洗级数等措施可节约大概27 m3/h的过滤水量,并可减少78%的弱碱处理量;将炉子烟气换热系统增加一级余热回收,每年回收的余热相当于583 t标煤消耗,可节约蒸汽5 368 t。 The present situation of energy consumption for silicon steel annealing line is analyzed in this paper.In existing process and equipment conditions,increasing the number of cleaning series will lead to a saving of about 27 m3/h of filter water and reduce 78 % of weak base processing volume.For the flue gas heat-exchange system,adding a waste heat recovery device will recover waste heat equivalent to 583 tons of standard coal per year,corresponding to a saving of steam 5 368 t per year. 

借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ... 

研究的两种取向硅钢（%:No1-0.042C、3.16Si、0.009Al、0.07Mn、0.50Cu、0.015S、0.0084N和No2-0.040C、3.20Si、0.014Al、0.22Mn、0.49Cu、0.016S、0.008 2N）由50 kg真空感应炉冶炼,锻成（mm）350×120×35板坯,经1 250℃30 min加热,开轧温度1 100℃,5道次热轧成2.3 mm板,终轧温度950～1 000℃。实验结果表明,两热轧板沿板厚方向存在组织和织构的不均匀性,热轧板次表层为再结晶组织,有较强的Goss织构组分;中心层为形变组织,具有典型的形变织构。含0.22%Mn的No2钢次表层{110}〈001〉织构组分比含0.07%Mn的No1钢弱,中心层{001}〈110〉织构组分大大强于0.07%Mn No1钢,导致两者磁性能差异,0.22%Mn No2钢磁感应强度(B₈₀₀)和铁损(P_1.7/50)分别为1.87 T和1.24 W/kg,0.07%Mn No1钢分别为1.88 T和1.18 W/kg。 Studied both grain-oriented silicon steels（%:No1- 0.042C,3.16Si,0.009Al,0.07Mn,0.50Cu, 0.015S,0.0084N and No2-0.040C,3.20Si,0.014Al,0.22Mn,0.49Cu,0.016S,0.0082N） are melted by a 50 kg vacuum induction furnace,forged to（mm） 350×120×35 slab,heated at 1 250℃for 30 min,with beginning rolling temperature 1 100℃hot-rolled to 2.3 mm plate by 5 passes,finishing-rolled at 950～1000℃.Test results show that the structure and texture along thickness of both hot-rolled plates are inhomogeneous:the subsurface ... 

研究了罩式炉常化工艺对50W350硅钢热轧板组织、夹杂物和性能的影响。研究结果显示，罩式炉常化工艺在温度一定的情况下，随着保温时间延长，硅钢晶粒逐步再结晶并长大，同时析出物也在聚集长大。通过制定合理的罩式炉常化工艺，可以实现硅钢晶粒的再结晶和长大，从而达到连续退火炉常化工艺产品技术要求。 The influence of normalization process with a bell furnace on the structure,inclusions and properties of 50W350electrical steel hot-rolled sheet was studied.The research results showed that:when the steel was normalized at a certain temperature in the bell furnace,the silicon steel grains gradually recrystallized and grew up with the extension of the annealing holding time,and at the same time,the precipitates also gathered and grew up.The recrystallization and growth of the silicon steel grains... 

【作者】 程志明； ...

磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d... 

研究了CSP工艺流程生产的硅含量为1.5%的无取向电工钢在不同常化温度下对磁性能的变化。研究结果表明:随着常化温度的提高,热轧板的晶粒尺寸增大,且组织均匀性提高;此外成品的有利织构组分{100}<0vw>、α、η增强,不利织构组分减弱;铁损P1.5/50呈下降趋势,磁感B50上升平缓。在常化工艺为970℃×2.5min下,对应的铁损P1.5/50<3.4W/kg,磁感B50>1.74T。 The effect of normalizing temperature on the magnetic properties of non-oriented electrical steel containing 1.5%silicon produced by CSP process was studied.The results show that with increasing normalizing temperature,the average grain size of hot-rolled plate increases and the microstructure uniformity is improved.Furthermore,the texture components of finished products are improved through enhancing of{100}<0vw>,αandηtextures and weakening of{111}<112>texture;the core loss P1.5/50 ... 

对无取向硅钢炼钢全流程钢液增钛的原因进行了分析,认为铁水钛含量、转炉出钢温度、转炉下渣量、精炼渣TiO₂含量、钢水罐及RH浸入管混钢种生产是影响钢液增钛的主要原因。通过采取低钛铁水冶炼,减少转炉下渣量,提高出钢温度,添加白灰改质精炼渣等措施,均能够降低钢液中的钛含量。 After analyzing the causes leading to increased content of titanium in molten nonoriented silicon steel during whole steelmaking process, it was concluded that such factors as content of titanium in hot metal, tapping temperature from converter, quantity of roughing slag entered into the ladle from converter, content of TiO₂ in refining slag, molten steel ladle car,carrying out the steelmaking of different steel grades by the same ladle and same RH immersion tube were the main causes ... 

采用拉伸试验和显微组织观测的方法确定了GTN损伤模型中的9个损伤参数,运用GTN损伤模型对冷轧硅钢薄板边部缺陷的扩展及边裂的产生进行了有限元模拟,并与预置缺口的钢板轧制试验进行对比。结果表明:轧制过程中边部缺陷是造成钢板边部裂纹萌生和扩展的一个重要原因,GTN损伤模型可用来预测含边部缺陷硅钢薄板在冷轧过程中边裂的产生;预测结果与试验结果基本一致。 The crack initiation and propagation of silicon steel strip with edge defect during cold rolling process was studied by using GTN damage model in this paper.Nine damage parameters in GTN model were identified by tensile testing and microstructure observing,and then the FE simulation of edge defect evolution of silicon steel strip during rolling process was conducted on the base of GTN damage model,and then the results were compared with rolling experimental results.The results show that the edge... 

采用Nb对Fe-6.5%Si(质量分数)高硅钢进行微合金化处理,结果表明:Nb在高硅钢薄板制备过程中细晶效果明显.铸态、锻态和热轧态组织的晶粒分别细化了17.50%,24.51%和30.13%.铸态样品压缩强度由1365 MPa提高至1520 MPa,延伸率提高77.78%;温轧板试样室温拉伸强度由573 MPa提高至621 MPa,延伸率提高44.44%.利用XRD对厚度为0.30—1.68 mm的温轧板的板面织构演变过程进行跟踪测量,结果发现:初始织构以(011)〈100〉Goss织构为主,单道次变形量为26.2%的情况下,Goss织构完全转化为(100)〈011〉旋转立方织构,随后,在单道次变形为22.6%的情况下,旋转立方织构完全转化为{111}面织构,即纤维织构,并稳定保持至0.30 mm. Fe-6.5%Si（mass fraction） alloy possess perfect magnetic properties,though intermetallics of Fe₁₄Si₂ phase brought 6.5%Si leads to room temperature brittleness and hinder this significant materials industrialization.Nb was adopted into micro-alloying of Fe-6.5%Si high silicon steel. OM,thermal simulated test machine and XRD were employed to study the influence of Nb on high silicon steel in processing stages.Textures of warm-rolled high silicon steel strips were determined b... 

电动汽车电机在高速旋转时承受离心力和电磁力的作用,在进行电机转子设计时,既要考虑电磁性能,还要考虑机械性能。对电机转子受力情况进行了综述,分析了转子用电工钢疲劳性能参数的重要性,详细阐述了试样抛光、表面处理、试样的对中和安装对测试结果的影响。 The motor of electric vehicle bears big force for high speed rotors,mainly including centrifugal and electromagnetic forces.The magnetic and mechanical aspects of the electrical steel are crucial to machine design.In this paper,the forces applied on the motor were summarized and importance of fatigue properties was analyzed.The influence of specimen polish,surface treatment,alignment and installation on fatigue testing result were represented in detail. 

利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O...