硅钢资料

稀土元素在许多钢中发挥着独特而且不可替代的重要作用。半个世纪以来,它的作用已经在各种低合金和特殊合金钢中的研究及应用中得到充分的证明;然而,作为具有稀土资源优势的中国,在属于重要功能材料的无取向电工钢中稀土的应用却落后于国外,本文就中国稀土在无取向电工钢中的应用研究作简要的评述,希望能够进一步推进此领域的研究,并且促进中国稀土在无取向电工钢中应用技术的发展,缩短与国外差距,并提出了在此应用领域今后需深入开展的研究方向。 Rare earth elements play a unique and irreplaceable role in a lot of steels,it has given the full proof by the practice of various low alloy steels and special alloy steels since half century.However,as our country has the advantage of rare earth resources,RE application technology in non-oriented electrical steels has lagged behind abroad.The application researches of rare earth in non-oriented electrical steel in our country are briefly reviewed in this paper,which hope to promote the research... 

通过对3%Si CGO硅钢进行恒变形速率、不同变形温度下的单道次压缩实验,结合Thermal-Calc软件,金相分析,SEM及EBSD技术,研究了取向硅钢热变形过程中组织和微观织构的变化规律。结果表明:实验钢是在双相区变形,变形后组织主要是铁素体和少量的珠光体。随变形温度的升高,晶粒由长条状变为等轴状,尺寸逐渐变大;CGO硅钢在热变形过程中立方{100}<001>取向是较为稳定存在的。随着变形温度的提高,{111}<110>等取向逐渐转向{110}<1 10>取向,且{110}<1 10>取向逐渐变得锋锐。 3% Si CGO silicon steel was studied at constant strain rate and different deformation temperatures by single-pass compression deformation experiments to reveal the evolution of microstructure and texture during thermal deformation in oriented silicon steel,and the Thermal-Calc software,metallurgical,SEM and EBSD technique was used in the experiment. The results show that experimental steel is deformed at the temperatures of two-phase zone. The microstructure of the deformed steel consists of fer... 

【摘要】 <正>3月底,宝钢\"低温高磁感取向硅钢制造...

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... 

【作者】 严伟明； ...

借助光学显微镜、扫描电镜、交流磁性能测量仪和万能拉伸试验机研究了0.3 mm厚高强无取向电工钢冷轧板在780、820、860和900℃退火保温2 min后的组织、织构和性能。结果表明:在退火温度范围内,试验钢均发生了完全再结晶,得到等轴状的铁素体晶粒;随着退火温度的升高,平均晶粒尺寸从9.2μm增长到41.3μm,工频铁损和400 Hz高频铁损均先大幅减小后趋于平缓,磁感应强度先升高后降低。在820℃退火时,铁损P_1.5/50=5.51 W/kg,P_1.0/400=33.22 W/kg均处于较低值,磁感应强度B₅₀₀₀最大,为1.649 T。试验钢的屈服强度和抗拉强度均随退火温度的升高而降低,780℃退火时屈服强度为496 MPa, 900℃退火时降低至407 MPa。综合磁性能和力学性能考虑,试验钢的最佳退火温度是820℃。 Microstructure, texture and properties of 0.3 mm thick high strength non-oriented electrical steel cold rolled sheet annealed at 780 ℃, 820 ℃, 860 ℃ and 900 ℃ for 2 min were studied by means of optical microscope, scanning electron microscopy, AC magnetic property tester and universal tensile testing machine. The results show that in the annealing temperature range, complete recrystallization of the experimental steel occurs and equiaxed ferrite grains are obtained. With the increase of annealin... 

选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af... 

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... 

【机构】 武钢研究院； ...

【作者】 杨佳直； ...

研究了传统工艺流程生产的2%Si无取向电工钢在不同退火温度下的磁性能。研究结果表明,随着退火温度的升高,显微组织均匀性提高且晶粒尺寸增大;有利织构组分{100}<0vw>、α、η增强,不利织构组分减弱;成品的铁损P1.5/50先下降后略有上升,磁感B50上升平缓;在890℃×2 min的退火工艺条件下,成品电工钢的磁性能最佳,对应的铁损P1.5/50小于3.2 W/kg,磁感B50高于1.74 T。 In this paper,the effect of annealing temperature on magnetic properties of non-oriented electrical steel with 2% silicon was studied.Results show that the uniformity of microstructure and the average grain size increase with the rise of annealing temperature.The texture components of annealing can be improved by enhancing {100} <0vw>,α,η fiber textures and weakening {111} <112> fiber texture.The tendency of core loss P1.5/50 shows that it decreases first and then increases,while the... 

通过金相分析和电子背散射衍射技术研究了一种新型含铜无取向电工钢在950℃退火不同时间(3～180s)空冷后的组织和织构取向的演变。结果表明:该钢在退火3s时的主要织构为α和γ线织构,{100}<110>织构最强;退火20s时织构以<111><112>、{111}<110>、{112}<110>、高斯织构和立方织构为主,随着退火时间的延长,高斯织构和立方织构强度呈减弱趋势;合理控制保温时间有利于提高{100}、{110}面织构的占有率。 Evolution of microstructure and texture oriented of a new non-oriented electrical steel during annealing at 950℃for different times(3-180) s and air cooling was studied by metallography and electron back-scattering diffraction analysis.The results show that after annealing for 3 s most of the texture oriented alongα-fibre andγ-fibre,the intensity of {100}〈110〉was the strongest.{111}〈112〉,{111}〈110〉,{112}〈110〉,Gauss texture and cube texture were the main texture after annealing for 20 s,with the ...