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... 

目前随着电工钢用户冲压设备的升级,冲压速度逐步提高,对电工钢产品的硬度和强度指标提出了更高的要求。与普通硬度级别的无取向硅钢相比,高硬度50BW600的Hv硬度提高15~20,达到125以上,同时对电磁性能指标也有较高要求。本钢通过化学成份和热轧及冷轧连退生产工艺的设计,经过小批量生产试验,满足用户要求。通过对工艺的严格控制,在大批量生产过程中,保证了产品的力学性能和电磁性的检验合格率。 Currently with upgrading of stamping equipment of silicon steel user, gradually increasing of stamping speed, propose higher demand for hardness and strength of silicon steel. Compared with conventional 50BW600, high hardness 50BW600 have higher hardness, reach greater than 125Hv. Through design of chemical composition with hot mill and annealing, production test of small quantities, stamping performance meet user request. 

对硅钢板材分别进行异步和同步轧制,研究了轧制参数包括速比、压下量和道次对板材表面显微组织的演变的作用.结果表明,异步轧制硅钢板材表面形成了晶粒尺寸为10~50 nm,取向接近随机分布的纳米晶,而同步轧制板材的表面只形成了位错胞,证明异步轧制可以诱发表面纳米化.异步轧制板材表面纳米晶的形成过程为:在剪切力的反复作用下,高密度位错形成、滑移、湮灭和重组形成亚微米尺度的亚微晶/位错胞.随着压下量和轧制道次增加,高密度位错重复以上过程使晶粒尺寸减小、取向差增大,最终形成取向接近随机分布的纳米晶组织.大压下量和多道次是异步轧制诱发板材表面纳米化的关键,而速比的增加可以加快纳米化进程. Surface nanocrystallization(SNC) can effectively enhance the surface and global properties of the metallic materials,such as microhardness,intensity,fatigue,wear and corrosion resistances,therefore provides more promising practical industrial applicability.Up to now,several SNC treatment methods were developed based either on the principles of ball impactions or friction sliding,however,difficulty still exists for the surface treatment of large-dimensional samples with high efficiency.Recently,m... 

以青海盐湖水氯镁石为初级原料,采用喷雾热解法制备原料氧化镁,原料氧化镁通过水化制备硅钢级氧化镁前驱体氢氧化镁。原料氧化镁水化实验中对水化剂、水化温度、水化时间、液固比、搅拌速度及陈化时间对水化率、过滤速度和纯度的影响进行系统研究。采用均匀实验设计和DPS数据处理,(依次)通过建模分析、二次多项式模型回归建立数学模型,再通过各因素方差分析和总方差分析,确定了理论最优实验条件,再用理论最优条件作重复实验进行验证,最终确定了原料氧化镁的最佳水化条件。在水化温度60℃,水化时间105 min,液固比4,陈化时间4 h,水化剂1含量4.0%,水化剂2含量3.15%,洗水量4倍,搅拌速度120 r/min时,原料氧化镁的水化率达99.50%以上,得到的硅钢级氧化镁前驱体氢氧化镁纯度高、过滤性能良好。 By spray pyrolysis method,bischofite in Qinghai salt Lake,as primary raw material,was used to prepare precursor raw material MgO for silicon-steel MgO.The precursor raw material MgO was used for preparing Mg(OH)2 which was the precursor of silicon-steel MgO,by hydration method.In the hydration experiment of precursor raw material MgO,some experiment parameters were investigated systematically.such as the hydrated agent,the temperature and time of hydration,liquid/solid ratio that affected the hy... 

研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0～2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w... 

研究了电工钢SXRC的显微结构和疲劳性能,并与DP钢进行了比较。结果表明,退火温度低温化能够有效的抑制电工钢的再结晶。该钢在固溶铌的作用下,能够在保证电机磁性的同时具有一定的强度。与DP钢相比,SXRC钢的抗疲劳性能更好。 The microstructures and fatigue properties of the electrical steel SXRC we re investigated, and the properties were also compared with the steel DP. The results show that the recrystallization of the electrical steel can be suppressed at lower annealing temperature. The steel presents favorable motor magnetic and also a compatible strength with the help of solid-solution Nb. Compared with the steel DP, the fatigue resistance of the steel SXRC is preferable. 

对高牌号无取向电工钢国内生产情况、工艺技术、产品性能及应用领域等进行了阐述,并探讨了高牌号无取向电工钢产品的发展趋势。 This paper introduces basic facts on the production status,process technology and products’ properties and their applications of non-oriented electrical steel with high grade at home,and then discusses the development trend on technology for producing the non-oriented electrical steel with high grade. 

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... 

介绍了普通取向硅钢(CGO)和高磁感取向硅钢(Hi-B)铸坯高温加热两次冷轧、一次冷轧和铸坯低温加热两次冷轧、一次冷轧法4种成熟生产工艺的主要技术参数,取向硅钢理论研究(Goss晶核和抑制剂)和生产技术现状。取向钢的发展趋势为:提高(110)[001]晶粒取向度,降低取向硅钢铁损,发展铸坯低温加热(≤1 300℃)和薄板坯连铸连轧流程生产取向硅钢工艺。 Main technology parameters of four developed process:cast bloom higher temperature heating-double cold rolling or single cold rolling,lower temperature heating-double cold rolling or single rolling process for production of common grain oriented silicon steel(CGO) and high magnetic induction grain oriented silicon steel(Hi-B),theory research on grain oriented steel(Goss nucleus and inhibitor) and present situation of process are summarized in this paper.The development trend of grain oriented si... 

采用非水溶液电解方法来提取无取向硅钢中夹杂物。通过扫描电镜(SEM)观察结果表明:无取向硅钢中主要夹杂物为六棱柱的AlN、不规则硅酸盐及球状的铁的硫化物和氧化物,其中AlN夹杂尺寸在1~5μm,数量较多,还有部分AlN的复合夹杂。进一步研究了AlN复合夹杂形成机理,采用了Thermo-Calc热力学计算软件计算出该钢样中AlN、MnS析出温度分别为1 240℃、1 200℃,而Al2O3析出温度大于1 800℃,从而为AlN复合夹杂形成机理提供了一个理论依据。 Extracting inclusions from non-oriented silicon steel in non-aqueous electrolysis is a nondestructive method to gain inclusions.Scanning electron microscopy shows that the main inclusions in non-oriented silicon steel were hexagonal AlN,which was of large quantity,irregular silicate,spherical iron sulfide and oxide.The size of AlN inclusions ranged from 1to 5μm,and there were some duplex inclusions of AlN.To further study the formation mechanism of AlN duplex inclusions,Thermo-Calc thermodynamic... 

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... 

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 {...