硅钢资料

以不断增长的薄板坯流程为背景,与传统流程对比分析了薄板坯流程无取向电工钢热轧晶粒组织特征;以50W800和50W1300钢为典型实例,探讨了两种流程下成品板晶粒组织、织构、磁性能及其磁时效行为的基体差异和相关原理。研究表明,薄板坯流程热轧板组织较粗大,有利于在成品板中获得粗大的晶粒和有利的织构,从而得到较低的铁损和较高的磁感。然而,薄板坯流程会造成第二相粒子的细小弥散分布与不充分析出,容易因磁时效而使磁性能恶化。 Based on the rapid development of compact strip production(CSP) processing,the characteristics of hot band grain structure produced by CSP processing were analyzed in comparison with those of conventional technology.The basic differences in grain size,texture,magnetic properties and the magnetic aging behaviors of the final sheet products produced by the two processing technologies and the corresponding principles were discussed,while steel 50W800 and 50W1300 were taken as examples.It is indicat... 

在15 kg真空感应炉上,用CaO-Al2O3-SiO2-MgO渣系进行脱硫试验,探讨了脱硫渣系碱度、MI、Al2O3、CaF2对脱硫效果的影响。研究结果表明,随脱硫渣系碱度、MI、Al2O3和CaF2含量的增加,脱硫率都呈现先增加后减少的趋势。初始硫含量为0.009 33%~0.010 73%,加入脱硫渣系4 min时间内表观脱硫速率为(0.000 96~0.001 49)%/min,平均脱硫率为81.2%,最高达86.8%。当脱硫渣中w(CaO)=58.15%、w(SiO2)=4.85%、w(Al2O3)=25%、w(MgO)=6%、w(CaF2)=6%,脱硫效果最好,此时钢液中硫为0.001 33%。 Experiments on desulfurization of molten steel using CaO-Al2O3-SiO2-MgO based desulfurization slag was carried out in a 15 kg vacuum induction furnace. The effects of desulfurization slag basicity,MI, Al2O3and CaF2on desulfurization of molten steel were studied. The results show that with the increase of basicity,MI,Al2O3or CaF2in desulfurization slag,the desulfurization rate rises initially and then decreases. In addition,as the initial sulfur content is 0. 009 33% ~ 0. 010 73%,the apparent des... 

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... 

热卷箱位于热连轧带钢生产线粗轧与精轧机之间,是热连轧生产中比较理想的中间保温设备。由于取向硅钢变形温度区间较窄,在生产中易出现边裂现象,同时中间坯的边部温度难于得到保证,因此一般不采用热卷箱设备生产,限制了传统热连轧生产线产品开发的品种。通过合理优化热卷箱控制工艺参数,解决了某厂传统热连轧生产线用热卷箱生产取向硅钢的边部质量问题,成功地生产出取向硅钢带。 The hot coil-box is an ideal heat retaining apparatus for hot rolling,lined between roughing mill and finishing mill. But oriented silicon steel has a narrow deformation temperature range,so that the edge crack easily occurs and it is difficult to insure the temperature of the intermediate blank. Therefore,the hot coil-box is rarely used in producing oriented silicon steel,which restricts the product development of the traditional hot rolling line. The article reasonable optimized process parame... 

对高磁感取向硅钢冷轧板分别进行800、950、1050和1120℃不脱碳的预退火处理,在800℃预退火,成品的磁性能较好。织构分析的结果表明,随着预退火温度升高,初次再结晶后有利织构组分{111}<112>与不利织构组分(118)[110]的比值f(111)/f(118)逐渐降低,初次再结晶织构的变化是成品磁性的影响因素之一。 Preliminary annealing process at different temperatures for cold-rolled strips of a high permeability grain-oriented silicon steel was investigated to study the effect of the annealing temperature on microstructure and magnetic performance of the steel.Results show that the magnetic performances of the products annealed at 800 ℃ are best.Analysis of primary recrystallization texture indicates that with rising temperature,f(111)/f(118) which is the ratio of the favorable component {111}<112>... 

利用热模拟试验机、光学显微镜和X射线衍射仪对Fe-3.2%Si低温取向硅钢热轧工艺参数对组织及织构的影响进行了研究。结果表明,Fe-3.2%Si硅钢在1110℃粗轧、880℃终轧,轧后以10℃/s的速度冷却到550℃卷取,然后空冷到室温,热轧硅钢板沿板厚方向的显微组织不均匀性显著,对后续发展完善的二次再结晶有重要作用。无论是热轧板,常化板还是冷轧板,它们的织构集中分布在γ取向线上,γ取向线的织构除取向密度不同外,织构种类是一致的,这说明γ取向线上织构是有继承性的。从热轧到常化,织构取向密度显著减小,经二次冷轧后,织构密度又显著升高,可见,轧制变形有助于织构的形成并使织构强度升高。 The influence of hot-rolled process parameters on the microstructure and texture of Fe-3.2%Si low temperature hot rolled grain-oriented silicon steel were researched by hot simulation experiment machine,light microscope and X-ray diffractometer.The results show that,Fe-3.2%Si silicon steel is rolled by the technology with a temperature of rough rolling of1110℃,finish rolling of 880℃,coiling with the speed of 10℃ /s,and then cooled to room temperature with air.The microstructure of hot-rolled sil... 

对RH法(真空循环脱气法)生产的冷轧硅钢的脱硫原理及影响因素进行了分析研究。研究表明:降低顶渣中FeO、MnO的含量,提高钢液温度,增加脱硫剂的加入量并延长其循环时间有利于提高脱硫效率。 The principles of desulfurization and its influence factors of cold rolling silicon steel during RH process have been studied in this paper.The result indicated that reducing contents of FeO and MnO,rising temperature of the liquid steel,increasing quantity of desulfurizer,lengthening cycle time of desulfurzer are benefit for desulfurization. 

【作者】 张煜； 朱国辉； ...

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... 

研究了热处理工艺(退火温度、保温时间、冷却方式)对含Mn的Fe-6.5wt%Si高硅钢热轧带的显微组织及硬度的影响。结果表明,退火温度对Fe-6.5wt%Si合金的组织和显微硬度均有较大影响,随退火温度升高,平均晶粒尺寸和显微硬度均明显增大。小于1 h退火时,晶粒长大缓慢,而长时间(>1 h)退火时,一些次表层晶粒将发生异常长大。水冷组织比空冷组织略细小,但水冷显著降低了显微硬度。Mn含量提高能抑制850℃退火时晶粒的长大,并且促进退火后高硅钢的软化。 The influences of heat treatment process(annealing temperature,heating time,cooling methods) on the microstructure and microhardness of Fe-6.5wt%Si high silicon steel containing manganese for hot rolled strip were studied.The results show that the annealing temperature has a great effect on the microstructure and microhardness of Fe-6.5wt%Si alloy,and as the annealing temperature increases,the average grain sizes and microhardness will significantly increase.When annealing time for less than 1 h... 

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... 

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...