硅钢资料

抑制回硅是低硅品种钢冶炼的重点和难点,南钢中厚板卷厂通过转炉出钢弱脱氧操作,精炼炉弱脱氧升温,脱氧、脱硫造渣,连铸严格的保护浇注及吹氩塞棒、吹氩浸入式上水口的应用等一系列工艺优化和操作的改进,使整个冶炼过程钢水回硅量稳定控制在200×10-6以内,钢水终点成分完全满足低硅钢要求。 Control of increasing silicon is the emphasis and difficulty in low silicon varieties steel smelting.The Nisco Wide Plate/Coil Plant can control the silicon content in molten steel keeping within 200×10-6 through whole steelmaking process by using oxygen residual operation in converter tapping,oxygen residual and increasing temperature,deoxidation,desulfurization,slag refining,protection cast,blowing argon by plugged nozzle,blowing argon by submerged entry nozzle in continuous casting,and other ... 

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... 

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... 

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... 

观察了取向硅钢极薄带经冷轧至不同厚度,并经过不同工艺热处理后的显微组织及亚结构。结果表明:冷轧压下量越大,显微组织中位错密度越高,冷变形组织越多,等轴晶粒越少;增加冷轧压下量可以使试样的再结晶温度降低,当钢带厚度为0.08 mm时,在650℃退火时就能发生明显的再结晶。 Microstructure and substructure of the grain oriented ultra-thin silicon steel sheets is analyzed,which are rolled down to different thickness and treated with different heat treatment process.The result shows that there are higher dislocation density,more cold deformation structure and less equiaxed crystal grain in microstructure of the steel sheets with more cold rolled reduction.Increase of cold rolled reduction will decrease recrystallization temperature,and when thickness of the steel shee... 

涂层技术在高磁感取向硅钢生产中起着重要的作用.根据生产实践,介绍了高磁感取向硅钢生产中涂层的种类和作用、涂料的成分和对产品性能的影响、涂层工艺质量控制要点和检验方法等,并提出了通过优化涂层工艺改善高磁感取向硅钢性能和外观质量的方法. Surface coating technique plays an important role in producing high magnetic inductivity grain-oriented silicon steel.Based on production practice,this paper describes the types and function of the coating,the composition of the coating and its effect on the product performance,the quality control and inspection method for the coatings,as well as proposes ways to improve the magnetic property and surface quality of the steel by optimizing the coating process. 

通过观察冲剪边缘组织,测量冲剪边缘的显微硬度、残余应力的分布情况和磁性能的变化研究了冲剪加工对无取向硅钢50WW800边缘组织和磁性能的影响。对冲剪后硅钢片进行750℃退火,分析退火对组织和磁性能的影响。结果表明,硅钢片剪切边缘会存在0.4 mm的形变硬化层,边缘应力大,铁损增加。退火后变形减小,形变硬化层变小,残余应力大幅度减少,铁损减少。 The influence of punching process on cutting edge microstructure and magnetic properties of non-oriented silicon steel 50WW800was studied by observing microstructure and measuring microhardness near cutting edge.The residual stress distribution in the silicon steel tooth and magnetic properties were measured.Effect of annealing at 750 ℃ on microstructure and magnetic properties of the silicon steel was analyzed.The results show that a cut-edge hardening layer up to 0.4 mm is observed,residual st... 

【摘要】 <正>近日,从重钢集团获悉,日前重钢炼钢厂...

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... 

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... 

以能量平衡和辐射换热理论为基础,通过合理假定,建立了硅钢无氧化加热炉数学模型。采用数值计算的方法,通过自编程序,完成对带钢加热过程温度场的仿真。结果显示:数学模型能够反映带钢在无氧化炉内的加热过程,其升温曲线能够与工艺曲线相吻合;现行炉温分布并非最优,数学模型能够为炉温分布的优化、炉段的设计提供理论依据。 Mathematical model of NOF Section of Continuous Annealing Furnace is established based on energy balance and radiation heat exchange. The temperature field of steel is simulated by mathematical computation. The simulating results show that the mathematical model can reflect the heating process of silicon steel in NOF section, and the heat-up curve is coincide with the processing curve. From the results,it is known that the current furnace temperature gradient is not the best, and the mathematica... 

通过试验确定氩气分析流量为3.5L/min,静态流量为0.75L/min,冲洗时间为3s,预燃时间为12s,积分时间为5s的激发条件,采用火花源原子发射光谱法测定取向硅钢中碳、硅、锰、磷、硫。分别采用铣床铣样、砂轮磨样两种制样方式进行了精密度考察,发现制样方式对结果影响不大;讨论了取向硅钢样品中碳、硅、锰、磷、硫测定时可能存在的共存元素干扰,发现硅对锰元素的干扰不可忽略,采用干扰系数法进行了校正,据此拟合得到各元素校准曲线的相关系数均在0.999 0以上。精密度考察结果表明,碳、硅、锰、磷、硫的相对标准偏差(n=10)在0.71%~9.4%之间。对两块取向硅钢生产样品进行分析,并与钢铁研究总院进行比对分析,结果一致,且偏差均在允许范围内。 Carbon,silicon,manganese,phosphorus and sulfur in oriented silicon steel were determined by spark source atomic emission spectrometry.The selected excitation conditions were as follows:the analytical flow rate of argon was 3.5L/min,the static flow rate was 0.75L/min,the flush time was3s,the precombustion time was 12sand the integration time was 5s.Two sample preparation methods,including milling machine and grinding wheel,were investigated.The precision test results showed that,the determination...