硅钢资料

【作者】 陶永根； ...

【摘要】 <正>含6.5%Si的电工钢是软磁特性最佳的电...

利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O... 

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... 

将Fe-1.5Si硅钢试样分别在1 000~1 200℃空气条件下氧化30 min,观察发现在1 000℃和1 100℃时,氧化层与基体界面处存在硅酸亚铁,而当温度为1 200℃时,硅酸亚铁不但存在于界面处,同时也存在于氧化层中.将各温度下得到的带有氧化层的试样进行单道次热轧试验,压下率分别为10%和30%,发现1 000℃和1 100℃时,较高的压下率使氧化层破碎更加严重,但是单道次热轧未能改变氧化层的结构;当温度为1 200℃时,由于液态的硅酸亚铁的出现,单道次热轧能够将界面处的液化的硅酸亚铁层挤压到氧化层中,消除了硅酸亚铁层的钉扎基体的效应,改善了氧化层与基体界面的平直度. Specimens of Fe-1.5Si silicon steel were oxidized at 1 000 ~ 1 200 ℃ in air for 30 min.At 1 000 ℃ and 1 100 ℃ fayalite was observed at the scale/substrate interface.While at 1 200 ℃fayalite was found both at the scale/substrate interface and at the outer oxide layer.Then after the single-pass hot rolling process,with the compression ratio of 10% and 30%,it was found that at 1000 ℃ and 1 100 ℃,higher compression rate accelerated the broken of the scale layers,but the scale structure was not affec... 

针对川威950的工艺现状,结合无取向低硅钢SGG生产的工艺特点,主要从控制其钢坯加热和轧制以及终轧温度和卷曲温度几方面入手,进行无取向低硅钢生产的工艺控制研究。同时根据近6000吨的生产实践表明,该工艺措施能很好的满足该钢种的需要。 950 process Chuanwei status quo,with non-oriented silicon steel production process features low,mainly from the control of billet heating and rolling and finish rolling temperature and coiling temperature of several aspects,for non-oriented silicon steel production process of low control at the same time According to nearly 6,000 tons of production practice shows that the process measures could well meet the needs of the steel. 

【摘要】 <正>编号:2012016获奖等级:特等完成单位:...

取向硅钢成品的晶粒尺寸非常大,其易磁化方向[001]晶向对于轧向的偏差角度对其磁性能影响极大。本文介绍了取向硅钢二次再结晶后成品晶粒位向的几种测定方法,包括侵蚀法、劳厄法、OIM法、极图法和非对称X射线衍射法等,并对这几种测量方法进行了比较。 The finished product of grain-oriented silicon steel has immense grain size ranging from millimeters to centimeters and the deviation angles of easy magnetization direction from rolling direction plays a remarkable role in magnetic properties of grain-oriented silicon steel.The methods in common use for determining the deviation angles of crystal direction are introduced,which include the etch-figure method,the Laue method,the OIM method,the pole figure method and the asymmetrical X-Ray diffract... 

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 ... 

试验了通过NaCl-KCl-NaF-SiO₂熔盐在电流密度50 mA/cm²、电沉积脉冲电流正反向比9:1和750⁸50℃60min电沉积下阴极（/mm）20×20×0.5的1.6Si无取向冷轧硅钢片断面层硅的分布,并通过计算得出Si的扩散系数。结果表明,电沉积温度由750℃提高至850℃时,试样中Si含量增加,扩散的深度由18μm提高到40μm;电沉积温度与Si在钢中的扩散系数近似符合Arrhenius指数关系。 The distribution of silicon at cross section of cathode（/mm） 20 × 20 × 0.5 sheet of 1.6Si non-oriented cold rolled silicon steel after electro-deposit treatment by NaCl-KCl-NaF-SiO₂ molten salt with current intensity 50 mA/cm²,electro-deposit pulse current positive-negative ratio 9:1 at 750 850 ℃ for 60 min has been tested and the diffusion coefficient of Si is obtained by calculation.Results show that with increasing electro-deposit temperature from 750 ℃ to 85... 

针对节能电机对无取向电工钢在磁性能方面的特殊要求,采用普通W600牌号的热轧板为原料,通过大量的现场工艺试验,研究总结出了\"超低张力\"的运行工艺、\"先快后慢\"的加热工艺、\"先湿后干\"的退火脱碳工艺、\"先缓后急\"的冷却工艺,生产出P1.5/50≤4.0 W/kg、B50≥1.70 T的冷轧电工钢产品,满足了节能电机的要求。 Based on the special requirements of no-oriented electrical steel for saving energy motor in magnetic aspects,using common W600 brand of hot rolled plate as raw material,through a large number of real tests,an ultra-low tension process,heating process which was quick at first and then slow,annealing decarburization process which was dry after the first wet,and a cooling technology of \"slow after the first urgent\" were concluded.Electrical steel product with P1.5/50≤4.0W/kg,B50≥1.70T was produced... 

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...