钢厂
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...
无取向电工钢表面线状缺陷的影响因素分析
结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源,采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明:稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣,主要类型为Al2O3、MgO-Al2O3、CaO-Al2O3-MgO和CaO-Al2O3-SiO2。非稳态浇铸过程钢水洁净度明显降低,热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w(CaO)/w(Al2O3)、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def...
50A1300牌号无取向硅钢磁性能改善工业实践
结合工业化生产的50A1300牌号无取向硅钢,分析了化学成分、RH精炼脱氧方式、板坯装炉温度以及热轧平整工艺等对磁性能的影响,探讨成品钢磁性能的改善。结果表明,采取改善后,50A1300牌号无取向硅钢的磁性能得到明显改善。2012年,该钢种平均铁损、磁感应强度分别达到5.26 W/kg、1.762 T,能够较好地满足用户市场需求及同行对标需要。 Based on the industrial manufacture of 50A1300 grade non-oriented silicon steel sheets,effects of chemical composition,deoxidization method in RH vacuum refining,charging temperature of steel slabs,hot rolling and flattening progress on magnetic properties are analyzed.The optimization methods of magnetic properties of steels are discussed. Results show that the magnetic properties are obviously improved by the adopted measures above. In 2012,the average core loss and the magnetic induction of 5...
夹杂物尺寸及数量对无取向硅钢磁性能影响的主成分回归分析
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...
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...
Cr对含Nb高强无取向硅钢组织、织构及性能的影响
高强无取向硅钢主要应用于高速电机,要求其具备高强度和优异磁性能,但目前无取向硅钢的磁性能和强度难以兼顾。因此,设计并制备了添加微量Cr的含Nb高强无取向硅钢,通过光学显微镜、EBSD、万能拉伸试验机、四探针测试仪和磁性能测量仪等研究了Cr对含Nb高强无取向硅钢微观组织、织构、力学性能及磁性能的影响。结果表明,添加质量分数为0.5%的Cr抑制了热轧组织的回复,使常化和退火组织再结晶减弱,常化和退火后有利织构面积分数增加,不利织构面积分数减小。添加质量分数为0.5%的Cr使含Nb无取向硅钢的屈服强度显著增大,磁感略升高,但对铁损几乎没有影响。Cr对屈服强度的影响一方面是由于Cr的固溶强化作用,另一方面Cr促进了Nb的析出而使Nb的析出强化效果增强;而Cr提高含Nb高强无取向硅钢的磁感主要是由于促进有利织构形成的同时抑制了不利织构的形成,使得织构因子增大;添加Cr使无取向硅钢的电阻率增加从而使铁损降低,同时Cr促进了Nb的析出,而这种富Nb析出相不仅抑制晶粒长大且会阻碍磁畴移动而使铁损增高,在两方面因素的综合作用下,添加质量分数为0.5%的Cr对含Nb高强无取向硅钢的铁损几乎没有影响。因此,... High strength non-oriented silicon steel is mainly used in high-speed motors, which requires good mechanical and magnetic properties. However, it is difficult for non-oriented silicon steel to obtain high strength and good magnetic properties at the same time. In this paper, the Cr-microalloyed Nb-containing high strength non-oriented silicon steel was designed and prepared. The effect of Cr on the microstructure, texture, mechanical properties and magnetic properties of Nb-containing high stren...
固溶处理对高牌号无取向硅钢磁性能的影响
对商用50W330型无取向硅钢成品在930℃下保温2 h固溶并以不同方式冷却处理,利用磁性检测仪检测分析了处理前后的磁感和铁损变化,应用光学显微镜、扫描电子显微镜、X射线衍射仪观测分析了显微组织结构的演变。考察了平均晶粒尺寸、织构组分比及第二相粒子状态对磁性能的影响规律,结果表明:固溶处理前后平均晶粒尺寸的变化对硅钢磁性能的影响非常显著;当平均晶粒尺寸相差不大时,织构组分比[Goss+{100}]/{111}越大,磁感会越高;固溶处理会将细小弥散的第二相粒子重新回溶到基体中,减小了其对磁畴壁的钉扎作用,铁损随之下降。 The commercial 50W330 non-oriented silicon steel samples were heat treated at 930℃ for 2 h and cooled in different ways,then the iron loss and the magnetic induction of the samples before and after solution treatment were measured with a magnetic detector.The evolution of microstructural texture was analyzed by optical microscopy,scanning electron microscopy and X-ray diffractometry.The effects of average grain size,texture composition ratio and the second phase particles on the magnetic propert...
高硅钢薄板退火过程中的织构演变
采用传统的轧制和退火工艺制备了0.30mm厚的6.5%(质量分数)Si高硅电工钢薄板,采用X射线衍射技术对退火过程中的再结晶织构进行了研究。冷轧高硅钢薄板700℃退火形成以{111}〈112〉为峰值的γ织构(〈111〉∥ND)和以{001}〈210〉为峰值的{001}织构;而900℃以上温度退火则形成强{001}〈210〉织构。进一步的研究表明是在晶粒长大过程中{001}〈210〉发展成为主要再结晶织构组分。 High silicon steel thin sheets with thickness of 0.3mm were successfully produced by conventional rolling and annealing methods.Recrystallization texture was investigated by means of X-ray diffraction.It is found that recrystallization texture is mainly composed of γ fiber(〈111〉∥ND)with peak at {111}〈112〉 and {001} fiber with peak at {001}〈210〉 after annealing at 700℃,while strong {001}〈210〉 component dominates recrystallization texture after annealing above 900℃.It is during grain growth that {...
无取向电工钢边部减薄控制技术研究
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...

