硅钢资料

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the... 

借助电子背散射(EBSD)技术对AlN为主抑制剂的Hi-B取向硅钢常化工艺的中间冷却制度进行了研究。结果表明:常化后试样均发生了完全再结晶,在60℃/s冷速下组织最均匀;在合适的冷却制度下常化板表层保留了强的Goss织构,它深入到1/4厚度处,并且形成对Goss织构有利的强{554}<225>织构。 The intermediate cooling system of Hi-B oriented silicon steel with AlN main inhibitor in normalizing process was studied by means of electron back diffraction(EBSD) technique. The results show that:the specimens after normalizing are fully recrystallization, and the microstructure is most uniform under the intermediate cooling rate of 60℃/s; under suitable cooling system, normalized plate surface retains strong Goss texture, it penetrates into the 1/4 thickness of the plate and forming strong {... 

叠片系数是冷轧无取向电工钢的重要质量指标。为了提高叠片系数,必须保证无取向电工钢板形良好以及横向厚差小。针对攀钢冷轧厂4机架HC轧机轧制无取向电工钢的边部减薄问题,以无取向电工钢横向厚差最小作为目标函数,建立了一套针对无取向电工钢边部减薄控制的辊型曲线优化数学模型,开发了无取向电工钢专用辊型曲线,使无取向电工钢横向厚差从25μm降低到10μm以下,取得了良好的控制效果。 The lamination factor is an important quality index of non-oriented silicon steel strip.Considering the lamination factor,the non-oriented silicon steel must have a good shape and a smaller transverse thickness difference.In order to solve the edge thinning of non-oriented silicon steel strip in Panzhihua Steel,a mathematic model for designing the roll shape is built.In the model,the transverse thickness difference of non-oriented silicon steel strip is taken as the objective function.Based on t... 

概述了高磁感取向硅钢生产工艺的研究现状及发展趋势。介绍了国内外薄板坯连铸连轧流程生产高磁感取向硅钢的研究现状。从流程工序特点、热履历、组织与抑制剂控制方面进行对比,分析了薄板坯连铸连轧流程相对传统板坯流程生产高磁感取向硅钢的技术优势,在此基础上提出了利用该流程生产高磁感取向硅钢需要解决的主要技术难点。 The current status and development trend of production process for high magnetic induction grain-oriented silicon steel are summarized.The research status of producing high magnetic induction grain-oriented silicon steel by thin slab casting and rolling process at home and abroad is introduced.The potential technical advantages of producing high magnetic induction grain-oriented silicon steel by thin slab casting and rolling process are obtained by analyzing in terms of process characteristics,t... 

采用双辊薄带连铸工艺试制了2.6 mm厚5.28%Si-1.11%Al高硅钢薄带,对比了1050℃×5 min正火及不正火铸带280℃冷轧至0.5 mm后,再经900～1100℃退火的磁性能。结果表明,高硅钢铸带显微组织为等轴晶组织,正火后铸带边部晶粒长大,中心层晶粒变化较小。成品中析出物主要为较粗大的AlN和AlN+MnS复合析出物,尺寸为0.5～2.5μm。与不正火试样相比,正火试样成品铁损大幅降低,磁感小幅下降;随退火温度的升高,两种工艺下铁损和磁感都是先降低后升高,在1050℃出现最低值。 2.6 mm thickness 5.28% Si-1.11% Al non-oriented high silicon steel was produced by twin roll thin strip casting.Magnetic property of the strip un-normalized and normalized at 1050 ℃×5 min was contrasted after cold rolled to 0.5 mm at 280 ℃ and 900-1100 ℃ final annealing.The results show that microstructure of the strip is equiaxed crystal.The surface grain is coarsened and the center layer grain has little change of the normalized strip.The main precipitates are AlN and MnS+AlN with 0.5-2.5 μm s... 

取向硅钢因其高磁导率、低矫顽力和大电阻系数等特性，被广泛应用于大中型变压器和大型电动机铁芯的制造。因取向硅钢性能和成分控制严格，生产工艺复杂，故其产品代表了钢铁企业特殊钢生产的最高水平。本文介绍了新钢公司卷板厂1580热连轧线生产取向硅钢过程中出现的窄尺问题，研究了取向硅钢产品的特点，分析了热轧过程中的组织转变，并结合生产实际提出了改进措施。通过对加热炉钢坯加热模式、粗轧轧制策略、精轧轧制工艺、二级模型等方面的优化和改进，取向硅钢窄尺情况明显好转，提高了产品的成材率和市场口碑。 The oriented silicon steel is widely used in the iron core manufacture of large and mediumsized transformers and large motors because of its high permeability, low coercivity and large resistance coefficient. Due to the performance and composition control of oriented silicon steel is strict, the production process is complex,therefore, its products represent the highest level of special steel production in iron and steel enterprises. This paper introduces the problem of narrow gauge in the produ... 

【作者】 凌健； ...

研究了热处理工艺(退火温度、保温时间、冷却方式)对含Mn的Fe-6.5wt%Si高硅钢热轧带的显微组织及硬度的影响。结果表明,退火温度对Fe-6.5wt%Si合金的组织和显微硬度均有较大影响,随退火温度升高,平均晶粒尺寸和显微硬度均明显增大。小于1 h退火时,晶粒长大缓慢,而长时间(>1 h)退火时,一些次表层晶粒将发生异常长大。水冷组织比空冷组织略细小,但水冷显著降低了显微硬度。Mn含量提高能抑制850℃退火时晶粒的长大,并且促进退火后高硅钢的软化。 The influences of heat treatment process(annealing temperature,heating time,cooling methods) on the microstructure and microhardness of Fe-6.5wt%Si high silicon steel containing manganese for hot rolled strip were studied.The results show that the annealing temperature has a great effect on the microstructure and microhardness of Fe-6.5wt%Si alloy,and as the annealing temperature increases,the average grain sizes and microhardness will significantly increase.When annealing time for less than 1 h... 

【摘要】 <正>为了确保电工钢的产品质量,在生产线...

结合冶炼无取向硅钢的生产实际,对钢中硫的来源,以及炉渣性质、钢水温度、底吹强度对脱硫的影响进行了分析。研究表明,转炉钢中硫的主要来源为铁水、废钢、铁水渣及石灰带入;冶炼硅钢时,终渣碱度为3.0~3.5,w((FeO))≤20%,终点钢水温度大于等于1 680℃,加大底吹搅拌强度能提高转炉脱硫效果。硅钢平均出钢硫的质量分数为0.004 8%,能满足无取向硅钢对硫含量的要求。 With the actual production of non-oriented silicon steel,the source of sulphur and the effect of metallugic parameters like slag properties,temperature of molten steel and bottom stirring on desulphurizing ability were investigated.The results show that the main source of sulphur is molten metal,scrap,the remaining slag volume in hot metal and lime.The degree of desulphurization for smelting silicon steel can be increased through adopting the following measures,such as the basicity of finishing ... 

【机构】 宝山钢铁股份有限公司规划与科技部； ...

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...