钢厂
低牌号无取向电工钢磁时效行为分析
选取了三种50W 800无取向电工钢,分析了化学成分、晶粒尺寸、织构、以及200℃时效处理48 h前后的磁性能和第二相粒子析出状态的变化。结果表明,钢板中第二相粒子的分布密度对钢板铁损有最重要的影响。降低钢中C、N元素含量,或改进钢板热加工参数以降低成品钢板中第二相粒子形成元素的过饱和度均有利于明显降低钢板磁时效过程中的铁损增幅。钢板中对磁性能有利的织构也有利于降低钢板铁损的时效幅度。 The evolution of chemical composition,grain size,texture,as well as magnetic property after aging treatment at 200 ℃ for 48 h and distribution of second phase particles precipitation in three selected 50W800 non-oriented electrical steels were analyzed.The results show that the distribution density of second phase particles has great influence on core loss.Reducing C and N content,or improving hot-working parameters to reduce the supersaturation of elements forming second phase particles in prod...
大压下率冷轧无取向硅钢再结晶织构演变
研究了冷轧95%变形量无取向硅钢不同退火温度(710~1 050℃)下再结晶织构特征.再结晶刚完成时(710℃退火),呈现强γ({111<112>~<134>)与弱{114}<481>织构特征;随退火温度升高至900℃,γ明显减弱,{114}<481>组分持续增强,形成典型的{h,1,1}<1/h,1,2>织构;进一步升温至1 050℃,再结晶织构不再发生明显变化.基于EBSD分析,{114}<481>组分的持续强化可归因于其明显的尺寸优势以及较高频率的高能晶界(取向差角为20°~45°). A non-oriented silicon steel was heavily rolled to 95% reduction and subsequently annealed at 710~1 050 ℃ to investigate recrystallization texture evolution.When annealed at 710 ℃ with complete recrystallization,the texture is characterized by a strong partial γ fiber spreading from {111}<112> to {111}<134> and a weak {114}<481> component.As annealing at 900 ℃,γ fiber is decreased significantly while {114}<481> is increased consistently,producing a typical {h,1,1}<1/h,...
大数据技术在硅钢产品质量管控中的应用实践
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...
硅钢在连续退火机组浪形缺陷的控制
为了消除硅钢在连续退火机组产生的浪形缺陷,对浪形缺陷产生的主要原因进行了分析。制定了相应控制措施,对炉内带钢张力、冷却段输出、碳套辊与带钢的同步性、无氧化炉燃烧状态等参数进行了调整;在生产组织上安排高低牌号宽窄规格穿插生产、定期更换碳套辊等,实施后效果明显。 The main cause leading to waviness defects of silicon steel is analyzed in order to eliminate the waviness defects of silicon steel in continuous annealing line.And thus corresponding measures for controlling these defects are made by means of adjusting these parameters such as the tension of silicon steel coils in continuous annealing furnace,the output in cooling section and the combusting condition of the non-oxidation furnace as well as keeping the synchronization between carbon sleeved roll...
火花源原子发射光谱法在线测定电工钢中的超低碳
采用火花源原子发射光谱分析测定电工钢中超低C,研究试样制备方法、Ar纯度和压力等条件对分析结果的影响,并对工作曲线进行了优化,实现了一次分析同时测定电工钢的多种元素,满足炉前和精炼在线分析的要求。 Ultra-low carbon in electrical steel is determined with spark-source atom emission spectrum.It is researched the influence of sample making method,purity of Ar,and pressure on analysis result.The work curve is optimized.The determination of many elements in electrical steel only in one analysis is realized.It meets demands of on-line analysis for blast furnace and refining.
国外采用板坯低温加热工艺生产Hi-B取向电工钢最新进展
根据新日铁、JFE及浦项等国外钢铁公司2008年以来在日本专利局、欧洲专利局(EP)及世界知识产权组织(WIPO)申请公开的有关生产Hi-B取向电工钢典型专利技术,概述了近年来国外大型钢铁企业采用低温板坯加热(坯加热温度<1 280℃)技术生产Hi-B取向电工钢主要技术重点,即将调节关键化学成分Al、N、Sn及Sb等与工艺改进相结合。最后介绍了国外大型钢铁企业采用低温板坯加热技术生产Hi-B取向电工钢实例。 The latest developments on technology for manufacturing Hi-B grain oriented electrical steel sheets developed by Nippon Steel Corp.,JFE Steel and POSCO were described according to the patents published by World Intellectual Property Organization,Japan Patent Office and European Patent Office over the recent years.The low temperature slab heating process(particularly slab-heating temperature<1 280 ℃) together with suitably adjusting key chemical elements such as Al,N,Sn and Sb elements was the...
云边一体化系统架构下硅钢制造管理业务数字化融合应用
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...
低温高磁感取向硅钢连铸与均热过程AlN与MnS析出的热力学
针对薄板坯连铸连轧流程结合\"获得抑制剂法\"所制备的低温高磁感取向硅钢,通过热力学计算研究了AlN与MnS在连铸与均热过程中的析出规律与行为。计算结果表明,连铸过程中AlN在凝固后的高温α相中便可能析出,而MnS仅可能在凝固后的α+γ两相区内析出。钢中AlN与MnS在均热过程中均处于部分固溶与部分析出的状态。后续高温渗氮处理后初次晶粒的异常长大并不明显,表明渗氮处理前钢中固有抑制剂的数量相对充足。 The precipitation behavior of MnS and AlN in low-temperature high magnetic induction grain-oriented silicon steel produced by thin slab casting and rolling process with\"acquired inhibitor method\"during continuous casting and soaking was studied by thermodynamic calculation.The calculated results show that AlN is likely to precipitate in ferrite after solidification.However,MnS can precipitate only in the two phase region of ferrite and austenite.Meanwhile,MnS and AlN in the steel can not be comp...
Si在纯Fe及低硅钢中扩散行为
采用磁控溅射方法,分别在纯Fe以及低硅钢基片上沉积富Si膜,并对其进行真空扩散热处理.通过能谱分析及X射线衍射研究了Si在纯Fe与低硅钢基体中的扩散特征,运用DICTRA软件建立了扩散模型.研究发现Si在纯Fe基体中扩散时发生γ-Fe(Si)→α-Fe(Si)相转变,扩散速率受控于相界面的迁移.当沿截面Si含量梯度不足以驱动相界面正向迁移时,延长扩散时间会发生相界面回迁现象,最终趋于单一相内均匀化扩散过程.Si在低硅钢基体中的扩散符合Fick扩散第二定律. Si-rich films were deposited on pure iron and low-Si steel substrates by direct current magnetron sputtering,and then were subjected to vacuum annealing.The distribution characteristics of Si across Fe and low-Si steel substrates were studied by energy spectrum analysis(EDS) and X-ray diffraction(XRD).DICTRA software was used to simulate the diffusion models.It is found that the diffusion behavior of Si in the Fe substrate is from γ-Fe(Si) phase to α-Fe(Si) phase and the rate of diffusion is con...

