硅钢资料

对无取向硅钢炼钢全流程钢液增钛的原因进行了分析,认为铁水钛含量、转炉出钢温度、转炉下渣量、精炼渣TiO₂含量、钢水罐及RH浸入管混钢种生产是影响钢液增钛的主要原因。通过采取低钛铁水冶炼,减少转炉下渣量,提高出钢温度,添加白灰改质精炼渣等措施,均能够降低钢液中的钛含量。 After analyzing the causes leading to increased content of titanium in molten nonoriented silicon steel during whole steelmaking process, it was concluded that such factors as content of titanium in hot metal, tapping temperature from converter, quantity of roughing slag entered into the ladle from converter, content of TiO₂ in refining slag, molten steel ladle car,carrying out the steelmaking of different steel grades by the same ladle and same RH immersion tube were the main causes ... 

研究了常化对CSP流程生产的wSi=1.6%的无取向电工钢组织、织构和成品磁性能的影响。结果表明,经CSP流程生产,且在相同的冷轧及退火制度下,经1 000℃×2min常化处理的wSi=1.6%的无取向电工钢热轧板,其最终退火成品的铁损P15/50比不常化试样下降了10.5%,磁感B50比不常化试样提高了2.5%;常化使wSi=1.6%的无取向电工钢成品的平均晶粒尺寸增大,成品铁损P15/50相应减小;同时,常化使wSi=1.6%的无取向电工钢成品中高斯织构的强度增加,γ纤维织构的强度减弱,这有利于成品磁感B50的提高。 The effect of normalizing on microstructure,texture and magnetic properties of non-oriented electrical steel with wSi=1.6% produced by CSP process was investigated.The results show that,under the same cold rolling and annealing system,the iron loss(P15/50) of annealed samples whose hot bands has been normalized by 1 000 ℃×2 min process decreases by 10.5% and magnetic induction(B50) increases by 2.5% compared with the samples whose hot bands was not normalized.The average grain size of non-orient... 

【作者】 张煜； 朱国辉； ...

研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce... 

硅钢连续退火线是无取向硅钢生产的成品线。由于受机组布置的影响,带钢经转向辊进出口活套后,当套量达到60%后就出现偏离生产线的情况,从而影响最终产品的质量及成材率,甚至损坏设备。针对某冷轧厂硅钢连续退火机组出口活套入口处带钢跑偏开展纠偏研究,利用Matlab对该纠偏系统进行动态仿真研究,分析系统的稳定性。 Silicon steel continuous annealing line is non oriented silicon steel production of finished product line.Due to the influence of unit layout,strip by roll Import & Export loop,when the set volume reached 60% after the emergence of deviation from the production line,thus affecting the quality of the final product and the rate of finished products,and even damage the equipment.For the export of continuous annealing line in cold rolling silicon steel strip deviation rectification loop at the e... 

分析了冲裁硅钢芯片时出现的质量问题,针对影响硅钢芯片冲裁质量的4大因素——人、原材料状态、工艺和工装进行了工艺试验和分析,根据原材料状态的差异,采用不同工艺方案,特别是如何合理选择冲裁模具间隙,解决了硅钢芯片冲裁时产生的主要质量问题,使冲裁的硅钢芯片达到最佳质量状态,并满足硅钢芯片的使用性能。 The problems occurred during silicon steel chip punching and the factors that affect the quality of silicon steel chip punching were analyzed,the factors include 4aspects,that is,people,raw material status,process and frock,at the same time,process tests and analysis aimed at the factors that affect punching quality were did,according to the difference of raw material status,corresponding process schedules wee taken,especially in how to reasonably select punching dies clearance,which solved the ... 

借助于EBSD对比研究了常化退火对高牌号无取向电工钢热轧组织和织构演变的影响,分析了常化退火对热轧板各厚度层织构的演变规律。结果表明,常化退火改善了热轧组织的均匀性,并弱化了热轧变形的γ纤维织构。升高常化退火温度,可增大热轧板的晶粒尺寸,提高{100}和{110}织构组分占有率,有利于提高无取向电工钢成品板的磁性能。 Effects of normalizing annealing on microstructure and texture of high-grade non-oriented electrical steel hot-rolled sheet were investigated by EBSD. Emphasis was put on the effects of normalizing annealing on texture evolution in the sheet thickness. The results show that the hot-rolled microstructure homogeneity is improved and the γ-fiber texture is weakened by normalizing annealing treatment. The grain size of hot-rolled sheet and intensity of the {100} and {110} favorable texture can be in... 

针对传统工艺生产硅钢周期长、能耗大等缺点,采用双辊连铸工艺制备3%Si无取向硅钢连铸薄带,利用MEM,SEM和TEM观察了铸带的组织、织构及析出物,同时对比了Al的质量分数为0.6%和0.9%的连铸薄带在组织、织构及析出物特征方面的异同.结果表明:双辊连铸工艺生产的3%Si无取向硅钢铸带的组织为均匀等轴晶粒,平均晶粒尺寸约为300μm;织构组成随Al质量分数的不同具有明显差别,Al质量分数为0.9%的铸带中{100}织构强度是随机织构的7倍;铸带中的析出物为AlN和MnS,最大尺寸分别为500和50 nm左右. Given the lengthy production cycle,high energy consumption,and other shortcomings of the traditional process for producing silicon steel,a twin-roll casting process was used to produce 3%Si non-oriented silicon steel casting strips. MEM,SEM,and TEM were used to compare micro-structure,texture,and precipitate characteristics of a casting strip containing 0.6%Al with another containing 0.9%Al.The structure of 3%Si non-oriented silicon steel produced by the twin-roll casting process was a uniform i... 

采用电子背散射衍射技术测定50SW1300冷轧无取向硅钢中不同尺寸范围晶粒的含量,利用主成分回归分析法,综合研究不同尺寸范围晶粒的含量对无取向硅钢磁性能的影响。结果表明:通过主成分回归分析法能够从不同尺寸范围晶粒的含量的多个影响因素中获取主要的因素,定量研究它们对无取向硅钢磁性能的影响规律。分析表明,无取向硅钢的铁损与不同尺寸范围晶粒的含量之间存在着可靠的多元线性关系,在一定范围内,较大尺寸晶粒的含量越多,其对铁损优化的作用越明显;而无取向硅钢的磁感与不同尺寸范围晶粒的含量之间并无线性关系。 Distribution of grain size in cold rolled non-oriented silicon steel 50SW1300 was measured by EBSD.The effects of the distribution of grain size on magnetic properties of the non-oriented silicon steel were comprehensively researched by means of principal component regression method.The results indicate that the main factors influencing the magnetic properties in the distribution of grain sizes,which can be used to guantitative study the magnetlic properies of the steel,are obtained by principal... 

【摘要】 <正>为了确保电工钢的产品质量,在生产线...

【摘要】 <正>3月15日,随着第5754卷HiB钢下线,武钢...

为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...