硅钢资料

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... 

以马鞍山钢铁集团公司电工钢板形优化控制研究项目为背景,系统地研究了热轧、冷连轧和单机架轧机在电工钢生产过程中的边缘降控制问题。通过现场数据采集、工况数值模拟计算和工业化大生产试验,设计出适用、合理的电工钢板形控制的辊型优化曲线,满足了不同工序、不同机型的板形控制策略要求,解决了电工钢板形质量问题,取得了显著的经济效益。 Based on the project of electric steel strip shape optimization control,problem of edge drop control was systematically studied in production of electric steel of hot-rolling mill,cold-rolling mill and single stand mill.Roll optimization contour was designed out in point and reasonable by collection of work condition data,numerical simulation and test of industrial production.The shape control system can meet with the different working steps and difference mills,and quality problem of electric s... 

采用经验设计法初步确定了取向硅钢铸坯感应加热线圈设计参数,应用Ansoft仿真软件分别对36组不同线圈高度、线圈内径的感应加热炉在不同频率下的三维整体磁场和铸坯的温度场进行了数值仿真。通过对比仿真结果,确定电磁场分布最佳的一组感应加热炉设计参数为线圈高度h=1.50 m、线圈内径D1=0.575 m、电流频率f=110 Hz。在该参数下应用Ansoft仿真软件对取向硅钢铸坯感应加热炉的温度场进行了仿真,结果发现温度场分布均匀,可满足取向硅钢铸坯加热要求。 The induction heating coil design parameters for the oriented silicon steel casting blank were determined preliminary by experience design method,and 36 groups three-dimensional electromagnetic field with different height and inside diameter of coil under different frequencies of the induction heating furnace and the temperature field of the casting blank were investigated by numerical simulation using Ansoft simulation software. By comparing the simulation results of electromagnetic field distr... 

为研究退火工艺对普通取向硅钢初次再结晶组织的影响,对经不同温度、保温时间和升温速率退火后的材料组织进行了分析。结果表明:在等温退火条件下,加热至600℃时开始发生初次再结晶,800℃以上初次再结晶组织发展完善;而在最终冷轧板直接进行最终高温退火的情况下,加热温度在500～700℃时,将升温速率提高到80℃/h,初次再结晶组织更易于发展完善。 To investigate the influence of annealing process on the recrystallization of common grain oriented silicon steel,microstructures of sheets annealed at different temperature,soaking time and heating rate are observed.Results show that under the condition of isothermal annealing,recrystallization begins at 600℃ and fully develops above 800℃,while in the case that the final cold rolled sheets are directly thrown to final high temperature annealing,recrystallization is likely to develop with the he... 

对低温加热工艺生产的以AlN为主抑制剂的高磁感取向硅钢高温退火过程进行中断实验,借助电子背散射衍射技术对高温退火过程中高斯晶粒的演变进行了研究.在升温过程中高斯晶粒平均尺寸先减小再增大.800℃时取向分布函数图出现高斯织构组分,但强度很弱,高斯晶粒偏离角在10°以上;900℃时高斯晶粒平均生长速率超过其他晶粒;950~1000℃时高斯晶粒异常长大,偏离角3°~6°;在1000℃之前高斯取向晶粒相比于其他晶粒没有尺寸优势. The high-temperature annealing process of high permeability grain-oriented silicon steel with AlN as an inhibitor was studied by interrupting test.The evolution of Goss texture in this process was analyzed by electron back-scattered diffraction.It is found that the Goss grain size first decreases and then increases with the rise of temperature.Goss texture appears in the orientation distribution function at 800 ℃,but the intensity is very weak and the deviation angle is more than 10°.The average... 

【作者】 陶永根； ...

以试验室模拟CSP工艺生产的Fe-3Si热轧钢带为研究对象,采用正交试验及方差分析的方法,研究了取向硅钢初次再结晶退火工艺对高温退火后获得锋锐的高斯织构的影响。结果表明:取向硅钢两段式初次再结晶脱碳退火工艺参数加热段保温时间及加热温度是高温退火后获得锋锐高斯织构的主要影响因素,其可信度分别在90%和85%以上;在本试验条件下,通过正交试验获得的最佳退火工艺为:冷硬板经600℃保温3 min和850℃保温6 min。 Fe-3Si hot rolled strip was produced by simulating CSP technology in the laboratory.Orthogonal experiment and analysis of variance were carried out to investigate the influence of primary recrystallization on the sharp Goss texture of the oriented silicon steel.The results show that holding time of the heating section and the heating temperature for a sharp Goss texture of the samples annealed has important implications in this experiment conditions,the two-step decarburization annealing process... 

借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ... 

硅钢是钢铁产品中的\"工艺品\",是高附加值产品,通过对我国主要硅钢生产厂家的工艺设备,市场情况分析,简要介绍了我国硅钢生产消费现状,未来生产能力预测及硅钢未来发展趋势。 Silicon steel is the \"crafts\" of steel products,also is high value-added product.By analyzing process equipment and market condition of major silicon steel-making plant of China,it briefly introduces our current production consumption status,future production capacity prediction and future development trend of silicon steel. 

介绍了微合金元素锡、铌、稀土对无取向硅钢性能的影响,并扼要分析了这些元素对硅钢性能的影响机理:晶界偏聚元素Sn可细化晶粒提高硅钢磁性能;微合金元素Nb细化铁素体晶粒,提高硅钢的强度、韧性和塑性及磁性能;稀土元素(RE)在硅钢中的主要作用包括净化钢液、变质夹杂物、改善铸态组织和性能及微合金化,减少晶界上出现偏析的几率。 The influence of micro-alloy elements on properties of non-oriented silicon steel and the mechanism for effect of the micro-alloy elements including Sn、Nb and RE on the properties of steel are presented and analyzed in this paper.Grain boundary segregation elements Sn in steel can grain refinement and improve the magnetic properties;Micro-alloy elements Nb can refine the ferrite grain,increase the silicon steel strength,toughness and plastic;The main role of the RE in the silicon steel including... 

通过对湿H2气氛下,相同退火温度、不同退火时间的CGO硅钢初次再结晶样品进行金相组织观察,并进行了EBSD微观织构分析,研究了CGO硅钢初次再结晶过程中的组织及再结晶织构演变行为。结果表明,在湿H2气氛下,820℃保温,CGO硅钢初次再结晶过程约在120 s时完成。随着退火时间的延长,γ面上{111}<112>织构含量逐渐减少,{111}<110>织构先减少后增多,随着再结晶的完成,部分{111}<112>取向晶粒向高斯{110}<001>取向转化的同时,也向{111}<110>取向转化,高斯{110}<001>织构含量逐渐增多。高斯取向晶粒较多是由{111}<112>取向晶粒转化而来,同时也证明了CGO硅钢高斯取向晶粒的二次再结晶异常长大生长机制为择优形核。 Microstructure development and texture evolution of conventional grain oriented silicon steel,which were annealed at same annealing temperature and different annealing time under wet H2 atmosphere,were investigated through metallographic observation and electron backscattered diffraction analyzing.The results show that the primary recrystallization finishes in 120 s at 820 ℃ under wet H2 atmosphere.With the extending of annealing time,{111}<112> texture decreases,{111}<110> texture d... 

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...