硅钢资料

针对本钢薄板坯铸机在生产无取向电工硅钢的过程中存在的铸坯拉断、中包增碳、增氮等问题,进行了连铸工艺优化。通过采用新型无碳中间包覆盖剂、环保中间包干式料及专用结晶器保护渣后,降低了铸坯增碳量;通过控制钢包到中间包的增氮环节,降低钢水增氮;适当增大二冷水量,控制钢水过热度,防止铸坯拉断等生产事故的发生。改进工艺后,精炼后到成品铸坯的平均增碳量能控制在10×10-6以内,平均增氮量能控制在4×10-6以内。 The technology optimization has been adopted for preventing nitrogen increasing and carbon increasing in Benxi thin slab producing non-oriented silicon steel.Measures accordingly were adopted and satisfactory results were achieved. 

【摘要】 <正>日前,宝钢自主研发的新型高磁感取向...

双辊连铸技术是冶金及材料领域内的一项前沿技术,对于生产高品质硅钢具有独特优势.本实验研究了一种双辊铸轧w[Si]=4.5%的无取向硅钢,考察其铸态和常化处理后样品的组织、织构及析出相尺寸特征.结果表明:铸带组织以与铸带法向成5~20(°)倾角的柱状晶为主,晶内存在少量0.3~0.4μm的AlN析出相,铸带织构以λ(<001>//ND)织构为主,表层织构漫散.950℃/10 min常化处理后,析出相尺寸增大,表层λ织构增强. As an advanced technique of metallurgy and material science,twin- roll strip casting has unique advantages for producing high quality silicon steel. The present study was aimed at a 4. 5% Si non- oriented electrical steel for analyzing the structure,texture and the size of precipitates at the initial and normalized state. The results revealed that the initial structure mainly consisted of columnar grains with 5 ~ 20( °) angle to the normal of cast strip,and some AlN precipitates of 0. 3 ~ 0. 4 μ... 

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp... 

研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0～2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w... 

采用CVD法制备6.5%Si高硅钢,介绍了具体的制备工艺过程,研究了温度对渗硅速率和试样质量减轻的影响,同时分析了扩散时间对高硅钢中硅分布的影响。结果表明:在CVD反应过程中,反应温度高于1050℃将大大提高渗硅速率,但当温度大于1200℃后,渗硅速率趋于稳定;渗硅后,试样会减轻、减薄,随着温度升高,试样质量减轻的速率逐渐增大,在1200℃左右趋于稳定;扩散时间越长,硅分布越均匀,结合制备效率进行考虑,满足Δw表-中/b≤5的时间为适宜的扩散时间。 6.5%Si high silicon steel was manufactured by using CVD method and the process was introduced,the influence of temperature on the siliconizing rate and quality reducing rate,diffusion time on silicon distribution were investigated.Results as follows: the siliconizing rate will increase quickly when the temperature is higher than 1050 ℃,but the siliconizing rate will become steadily as the temperature up to 1200 ℃;The quality reducing rate will increase with the elevating of temperature and the r... 

系统研究了无取向硅钢用磷酸盐系涂层性能的影响因素。以氢氧化铝和磷酸为原料制备磷酸二氢铝,再添加适量的添加剂酒石酸铵、二氧化硅、环氧树脂,得到的涂液涂布于硅钢表面,并控制合适的烘干温度,通过耐盐雾实验考察各因素对涂液耐腐蚀性能的影响。实验结果表明,在磷酸与氢氧化铝物质的量比为3.4∶1、酒石酸铵用量为2%、二氧化硅用量为1%、环氧树脂用量为5%、烘干温度为300℃条件下,所得涂层材料的防(耐)腐蚀效果最佳。 The factors influencing the performance of phosphate anticorrosive coating for non-oriented silicon were systematically studied.Aluminum dihydrogen phosphate was prepared with aluminum hydroxide and phosphoric acid as raw materials.Then added the right amount of additives,such as ammonium tartrate,silicon dioxide,and epoxy resin to prepare the liquid coating,which was coated on the surface of the silicon steel,and finally controlled a suitable drying temperature.The influences of various factors... 

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... 

研究表明,硅钢中的夹杂物对成品带钢的磁性能有显著影响。为研究冶炼过程硅钢中的夹杂物遗传变化,进而提出更有效的控制措施加以去除,本文结合典型的无取向硅钢生产炉次,采用非水溶液电解提取+扫描电镜观察方法分析冶炼过程中上述炉次典型试样的夹杂物。结果表明:转炉冶炼结束、RH精炼开始时,钢的氧化物夹杂总量最大,约为0.23%;RH精炼过程中,氧化物夹杂总量不断降低,并在脱碳结束时达到最低,约为0.02%;连铸过程中,氧化物夹杂总量仍有不断降低趋势,但夹杂物的平均尺寸变化不大。本试验条件下,中间包试样的夹杂物数量约为1.59×104个/mm3。 As we all know, the non-metallic inclusion effects magnetic properties of silicon steel sheets obviously. The article aims to study the heredity of non-metallic inclusion in non-oriented silicon steels during the steel making process, and then provides a more effective controlling measure to remove the inclusions. Based on the typical non-oriented silicon steel charges, the non-aqueous solution extraction and SEM observation were adopted to analyze the non-metallic inclusions. Results show that,... 

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... 

【作者】 张正贵； 李战库； ...

研究了CSP工艺生产≤0.005%C-1.1%Si的2.2mm无取向电工钢热轧板在800～1000℃常化对0.5mm冷轧板840℃退火后组织和磁性能的影响。结果表明,热轧板常化温度升高,冷轧板退火后的再结晶晶粒增大,铁损降低,磁感增加;热轧板常化温度超过900℃,因第二相固溶而后弥散析出,退火后冷轧晶粒细化,铁损增加,因此该无取向电工钢热轧板最佳常化温度为900℃。 The effect of normalizing at 800-1000℃ of CSP produced plate(≤0.005%C-1.1%Si) on the microstructure and magnetic properties of downstream cold-rolled non-oriented electrical steel annealed at 840℃ was studied.Results show that with increasing normalizing temperature of hot-rolled material the recrystallized grain size of annealed sheet increases,iron loss reduced and magnetic induction increases.As normalizing temperature excesses 900℃,grain is refined and iron loss increases after annealing due...