硅钢资料

【作者】 杨洪林； ...

在50Kg氧化镁坩埚真空感应炉上进行高硅电工钢的脱氧试验。结果表明,通过控制原料的成分、高真空下的碳氧反应和炉衬分解向钢液中的供氧,可使钢液的总氧含量≤15×10-6;在维持高温高真空条件下,当钢液中的反应达到一定程度后,延长精炼时间并不能降低钢液的总氧含量;完成精炼后加入硅钙合金沉淀脱氧可进一步降低钢液的总含氧量,但脱氧效果有限。 The test of high-silicon electric steel deoxidation has been carried out in 50Kg vacuum induction furnace with magnesium oxide crucible.Results show that the total oxygen could be ≤15×10-6in molten steel by controlling material components,carbon-oxygen reaction in high vacuum and oxygen contamination from crucible materials on molten steel;And when the reaction was carried through to a certain extent,total oxygen in molten steel could not be reduced by the extension of refining period in high va... 

日本住友金属成功地开发了一种资源节约型高强度无取向电工钢SXRC,这种电工钢是通过固溶铌适度抑制位错的合并对消而得到一种特殊的微观组织,因此兼具很高的力学性能和磁性,特别适用于HEV、EV驱动电机转子。而且,不使用昂贵的镍就可以达到期望的强度,合金成本可控,是一种优越的资源节约型产品。 Sumitomo metal industries ltd of Japan successfully developed a type of high strength non-orientation electrical steel SXRC of resources-saving.The steel has both high mechanical performance and good magnetic property thanks to the special microstructure produced by the formation of Nb solid solution serving to appropriately inhibit the combination and cancellation of dislocations.The material is,in particular,suitable for manufacturing rotors of HEV and EV driving motors.Besides,expected streng... 

针对新能源汽车的发展，制备了含Ni固溶强化、含Cu析出强化以及含Ni+Cu复合强化3%Si无取向硅钢，研究了强化方式对无取向硅钢组织、织构和性能的影响。结果表明：固溶强化型无取向硅钢热轧板中形成了粗大{221}<221>晶粒，冷轧过程中剪切变形明显并在退火后形成良好再结晶织构。析出强化型无取向硅钢热轧板中心层形成γ取向粗大晶粒，在后续的加工中γ织构逐渐增强并最终得到相对细小的再结晶晶粒。复合强化型无取向硅钢热轧板中保留了强λ取向带状组织，退火后形成了有益的Goss织构和λ织构。固溶强化型与复合强化型无取向硅钢磁感应强度B₅₀分别达到1.742、1.688 T,高于析出强化型无取向硅钢的1.645 T。同时，复合强化型无取向硅钢高频铁损最低，其P_1.0/400和P_{1.0/1 000}分别低至20.97、82.69 W/kg,这与其较小的晶粒尺寸和织构改善有关。强度计算结果表明：Ni元素固溶强化对强度的提高有限，屈服强度为468 MPa,纳米Cu析出可显著提高屈服强度（强度增量约200 MPa）,且主要来自于模量强... For the development of new energy vehicles, 3%Si non-oriented silicon steel were processed by solid solution strengthening with Ni, precipitation strengthening with Cu, and composite strengthening with Ni and Cu. The effects of different strengthening methods on the microstructure, texture and properties of high-strength non oriented silicon steel were studied.The results show that coarse {221}<221> grains are formed in the hot rolled sheet of solution strengthened non-oriented silicon ste... 

研究了退火温度和退火时间对电沉积硅钢试样中的断面层组织、硅在试样中的分布情况、织构分布和磁性能的影响。结果表明:退火温度为1000℃、退火时间为210 min时得到的试样晶粒分布均匀、硅在试样中分布均匀、硅平均浓度为6.3715%(接近6.5%)。试样的织构分析及磁性能检测的结果表明,在较高温度下延长退火时间可增加{100}和{110}面织构,降低铁损,所得试样的磁性能较为良好。 The effect of annealing temperature and time on the microstructure, distribution of silicon,texture and magnetism of the high silicon steel prepared by electrodeposition was investigated. The results showed that after annealing at 1000℃ for 210 min, the mean grain size of steel was about 190 μm with a uniform grain size distribution, and the silicon is also uniformly distributed on the entire cross section with an average Si concentration 6.3715%(close to 6.5%); With the increasing annealing tim... 

针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan... 

为了解决在纹理背景下冷轧硅钢表面缺陷的分割问题,提出了基于局部信息结构张量和活动轮廓模型的硅钢表面缺陷分割方法。将图像的局部信息引入到结构张量中;在结构张量提取的特征空间中,以KL距离作为区域的概率密度相似性度量建立分割图像的活动轮廓模型;采用Split-Bregman数值解法对模型进行求解。运用提出的分割方法对硅钢表面的一些常见缺陷如纵向划伤、横向划伤、异物和孔洞等进行分割实验。实验结果表明,该方法可以准确地分割出硅钢表面缺陷区域,验证了该方法的有效性。 In order to address the segmentation problem for cold rolled silicon steel surface defect based on the texture background,a novel method based on structure tensor and active contour model is proposed.Image local information is introduced to the structure tensor.In the extracted feature space of structure tensor,KL distance is treated as a regional similarity measure of the probability density to establish active contour model for image segmentation.The numerical solution of Split-Bregman is used... 

【作者】 朱传芳； 潘恒韬； ...

【摘要】 <正>10月9日至11日,武钢一硅钢技术改造工...

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... 

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... 

结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源，采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明：稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣，主要类型为Al₂O₃、MgO-Al₂O₃、CaO-Al₂O₃-MgO和CaO-Al₂O₃-SiO₂。非稳态浇铸过程钢水洁净度明显降低，热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w（CaO）/w（Al₂O₃）、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def...