钢厂
浅谈无底层取向电工钢的多种应用
介绍了国内无底层取向电工钢生产技术水平、产量和用途，简述了无底层取向电工钢作为取向电工钢超/极薄带母料及应用于制作大型发电机组铁心、风电等电机铁心和变压器铁心等的情况。 The production technology level,output and application of domestic glassless grainoriented electrical steel were introduced,and the application of glassless grain-oriented electrical steel as parent material of ultra-thin strip of grain-oriented electrical steel and in making large-scale electric generator cores,wind power motor cores and transformer cores were briefly described.
无取向电工钢深脱硫试验
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 ~ ...
抑制剂成分对取向硅钢夹杂物析出及磁性能的影响
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...
取向硅钢常化水冷温度模型及控制方法研究
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...
Al含量对2.2%Si无取向硅钢组织、织构和磁性能的影响
通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%～0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%～0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%～0.81%。 The effect of 0.26%～0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%～0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in...
轧制力优化对20辊冷轧硅钢厚度精度的影响
轧制力是影响冷轧带钢厚度精度的关键因素。为实现高精度的冷轧带钢厚度控制,通过优化变形抗力模型参数和摩擦系数模型参数提高冷轧轧制力模型计算精度,并使用指数平滑法的自学习算法保证轧制力精度的稳定性。在首钢股份公司迁安钢铁公司20辊森基米尔轧机生产线进行S12硅钢钢种轧制力优化试验,将优化的模型参数应用于L2并投入现场生产,结果表明该优化方法不仅提高了轧制力设定精度,而且减小了冷轧硅钢的厚度超差长度,提高了成材率。 The rolling force is the key factor which influences the accuracy of cold-rolling strip thickness. To implement high precision control of cold-rolling strip thickness,we optimize the deformation resistance model parameters and friction coefficient model parameters to improve the calculation precision of cold-rolling force model,and use exponential smoothing self-learn algorithm to ensure the stability of rolling force accuracy. In Shougang Qiangang 20-high Sendzimir mill single stand production ...
含核壳异质结构6.5% Si高硅钢铁芯的制备与磁性能
以构建高磁感、低铁损、免轧制高硅电工钢铁芯为出发点,提出采用单辊甩带制备非晶铁硅合金薄带、微氧化法在铁硅合金粉末表面包覆高电阻率铁硅氧化物薄膜制备核壳异质结构高硅电工钢纳米粉末、放电等离子烧结快速成形制备颗粒间绝缘的高硅电工钢铁芯。研究了不同氧化包覆时间对SPS烧结试样密度、物相组成、微观结构和静磁性能的影响。研究表明,在氧化包覆5h烧结温度800℃工艺条件下,制备的6.5%Si高硅电工钢铁芯的静磁性能最佳,饱和磁化强度为128.84A.m2/kg、矫顽力为2.25kA/m、剩磁为3.47A.m2/kg。其饱和磁化强度与粉末压延法制备的高硅钢相当,但矫顽力降低了1/3。 The paper takes preparation 6.5%Si steel with high induction,low core loss and removing rolling as the starting point,amorphous Fe-Si ribbons was synthesized by melt spinning method,6.5%Si steel nanopowders with high resietivity core shell structure was prepared by the slight oxidation process and 6.5% Si steel iron core with evaluating internal was sintered by spark plasma sintering process(SPS).The essay focuses studies the effects of different oxidation cladding time on sample density,phase c...
压下率对6.5%Si电工钢温轧板织构的影响规律
6.5%Si电工钢是一种优异的软磁材料,织构对其磁性能影响很大。利用温轧工艺对6.5%Si电工钢热轧板进行不同压下率轧制,研究了温轧板织构随压下率的变化规律。实验结果显示,随着压下率的增大,{100}〈110〉、{110}〈100〉和γ纤维织构在薄板表层中的强度先增强后减弱,当压下率达到75%时,沿板厚方向形成3个组织区域:表层细晶粒区({110}〈100〉取向为主)、过渡层({111}〈110〉和{111}〈112〉变形晶粒区)和中心层(以拉长的γ纤维织构和{100}〈110〉取向晶粒为主),这种组织和织构不均性对后期织构的发展有重大影响。 6.5wt% Si electric steel has excellent soft magnetic properties,on which texture play important role.In this experiment,warm rolling technique was employed to investigate the effect of rolling reduction on texture.It was found that the density of {100}〈110〉,{110}〈100〉 and γ-fiber textures first increased and then decreased with increasing of the rolling reduction.At 75% reduction,the microstructure along the thickness of the sheet formed three zones,containing surface layer with {110}〈100〉 orien...
