钢厂
硅钢高温退火环形炉炉壳制作与安装技术
硅钢高温退火环形炉炉壳制作与安装精度要求较高,施工时通过对壳体原材料矫正、炉壳板拼焊、下料切割、型钢骨架组装及焊接、骨架及炉壳板矫正、骨架与炉壳板组装及焊接、炉壳矫正、零配件装置、定位钻孔、报验检查、出厂、内侧板安装、外侧板安装、顶板安装等环节的工艺技术控制,能保质高效地完成硅钢高温退火环形炉炉壳制作与安装,为以后同类工程的施工提供可借鉴经验。 The required precision of manufacture and installation technique of the silicon steel high temperature annealing annular-furnace shell is high.During construction , manufacture and installation of the silicon steel high temperature annealing annular-furnace shell could be finished high efficiently through correcting the raw materials of shell , furnace shell plate welding , material cutting , steel frame assembly and welding , skeleton and shell plate correction , skeleton and furnace shell asse...
高牌号无取向电工钢RH深脱硫
以CaO-CaF2复合渣系为脱硫剂,在RH精炼过程采用真空投入法进行高牌号无取向电工钢深脱硫工业试验,采用KTH模型计算分析了RH炉渣成分对硫容量CS的影响。研究结果表明,炉渣成分控制在w((CaO))/w((SiO2))为5~7,w((CaO))/w((Al2O3))为1.5~1.8,w((Al2O3))为25%~30%,w((FeO+MnO))<5%,脱硫剂加入量为6~8kg/t时,钢中硫质量分数从平均0.003 1%降低到0.001 8%,最高脱硫率达到47.1%,平均脱硫率为41.7%。 The industrial trials on deep desulphurization of high grade non-oriented electrical steel were finished through using CaO-CaF2complex based fluxes in RH process.Using the KTH model,the effect of refining slag composition on the sulfide capacities was analyzed.The results show that the chemical composition of refining slag(mass fraction,%)is w((CaO/SiO2))between 5to 7,w((CaO))/w((Al2O3))beween 1.5to 1.8,w((Al2O3)) between 25%to 30%,w((FeO+MnO))less than 5%,and the desulphurizer addition level of...
融入结构张量和活动轮廓的硅钢表面缺陷分割
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...
Al含量对2.2%Si无取向硅钢组织、织构和磁性能的影响
通过实验室25 kg真空感应炉冶炼和锻轧研究了0.26%～0.95%Al含量对0.5 mm 2.2%Si无取向硅钢冷轧板组织、织构和磁性能的影响。试验结果表明,0.26%～0.81%Al含量时,随钢中Al含量的增加,成品退火钢板的晶粒尺寸增加同时铁损减少;当Al含量大于0.81%时,随Al含量增加,钢板的晶粒尺寸减小,同时铁损增加。Al含量对硅钢板磁感的影响没有明显的规律。2.2%Si无取向硅钢的合适Al含量为0.48%～0.81%。 The effect of 0.26%～0.95%Al content on structure,texture and magnetic performance of 0.5 mm cold rolled sheet of 2.2%Si non-oriented silicon steel has been studied by a 25 kg vacuum induction furnace smelting,and forging -rolling in laboratory.Results show that as 0.26%～0.81%Al,with increasing Al content in steel the grain size of annealed finished sheet increases while iron loss of sheet decreases,and as Al content in steel is more than 0.81%,the grain size of sheet decreases while iron loss in...
新钢1580取向硅钢宽度窄尺原因分析
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...
双辊薄带连铸3.98%Si-0.71%Al无取向硅钢的组织、织构和磁性能
采用双辊薄带连铸工艺制备了厚度为2.4mm的3.98%Si-0.71%Al无取向硅钢带,经常化、冷轧、不同温度退火后,对其显微组织、析出物、织构和磁性能进行了检测分析。结果表明:随着退火温度的提高,退火板晶粒尺寸增大,组织均匀性提高;退火板析出物主要是AlN和MnS与AlN复合析出物,尺寸较粗大,达0.5~2.5μm;退火板织构沿厚度方向变化明显,表层和1/2层存在较强的{100}织构,1/2层还存在较强的{111}织构,1/4层主要是{112}织构;随退火温度的升高相应的铁损和磁感应强度均降低。 Using twin roll thin strip continuous casting technique,the 3.98%Si-0.71%Al no-oriented silicon steel strip in thickness of 2.4mm was produced.The microstructure,precipitates,texture,and magnetic properties of the sheet after normalizing,cold rolling and annealing at different temperatures were studied.The results show that with annealing temperature increase,the grain size and uniformity of annealed sheet increased.The main precipitates in coarse size of 0.5-2.5μm in annealed sheet were AlN and...
退火工艺对3.15%Si冷轧无取向硅钢组织和织构的影响
试验研究了退火温度(850~950℃)和时间(5~18 min)对2.3 mm热轧硅钢板(/%:0.036C,3.15Si,0.21Mn,0.005P,0.007S,0.032A1)6道次轧制的0.35 mm冷轧板组织和织构的影响。结果表明,退火温度越高,晶粒平均尺寸越大,900℃5 min退火时平均晶粒尺寸41.39μm,试样织构主要集中在γ取向线上的{111}<112>织构组分和{111}<110>织构组分;900℃18 min退火时平均晶粒尺寸为48.08μm,试样的{111}面织构和{112}面织构密度都明显减弱,{001}面织构增强,磁性能较优。 The effect of annealing temperature(850 ~950 ℃) and holding time(5 ~ 18 min) on structure and texture of 0.35 mm sheet by 6 passes cold-rolling from 2.3 mm hot-rolled plate of silicon steel(/%:0.036 C,3.15 Si,0.21 Mn,0.005 P,0.007 S,0.032A1) has been tested and studied.Results show that the higher the annealing temperature the coarser the average grain size;As annealing at 900 ℃ for 5 min the average grain size of steel sheet is 41.39 μm,and the texture in sample is mainly concentrated in y orie...
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
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...
