硅钢资料

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... 

通过制备磷酸二氢铝硅钢涂层,研究了氧化锌对无铬涂层耐盐雾性能、电化学性能和附着性的影响。结果表明,硅钢表面涂层含有4.0%的氧化锌时,涂层具有最高的耐腐蚀性能和电化学性能,而且其致密表面最为平整,没有裂纹出现。 The effects of ZnO on the salt spray resistance property, electrochemical performance and adhesiveness of silicon steel insulating coating were studied. The results show that the best corrosion resistance and electrochemical properties can be obtained when the coating contains 4.0% oxide zinc, and the dense surface is smooth without cracks. 

对商用50W330型无取向硅钢成品在930℃下保温2 h固溶并以不同方式冷却处理,利用磁性检测仪检测分析了处理前后的磁感和铁损变化,应用光学显微镜、扫描电子显微镜、X射线衍射仪观测分析了显微组织结构的演变。考察了平均晶粒尺寸、织构组分比及第二相粒子状态对磁性能的影响规律,结果表明:固溶处理前后平均晶粒尺寸的变化对硅钢磁性能的影响非常显著;当平均晶粒尺寸相差不大时,织构组分比[Goss+{100}]/{111}越大,磁感会越高;固溶处理会将细小弥散的第二相粒子重新回溶到基体中,减小了其对磁畴壁的钉扎作用,铁损随之下降。 The commercial 50W330 non-oriented silicon steel samples were heat treated at 930℃ for 2 h and cooled in different ways,then the iron loss and the magnetic induction of the samples before and after solution treatment were measured with a magnetic detector.The evolution of microstructural texture was analyzed by optical microscopy,scanning electron microscopy and X-ray diffractometry.The effects of average grain size,texture composition ratio and the second phase particles on the magnetic propert... 

采用光学显微镜和X射线衍射仪研究了常化退火处理对无取向硅钢热轧板和成品退火板显微组织和织构的影响。结果表明:常化退火处理消除了热轧板中的变形组织,促使变形晶粒完成再结晶;常化退火处理使高斯织构和立方织构易通过再结晶在变形带内形核和长大,可显著降低成品退火板的{111}和{112}不利织构组分的占有率,提高{100}和{110}有利织构组分的占有率,从而有利于提高无取向硅钢成品板的磁性能。 The effect of normalizing annealing treatment on microstructure and texture of non-oriented silicon steel hot rolled plates and final products were investigated by means of optical microscope and X-ray diffractometer analysis.The results show that the deformed microstructure of the hot rolled plates transformed into recrystallized grain after normalizing annealing treatment.The grains of Goss texture and cubic texture crystallographic orientation were formed and grown by recrystallization in the... 

分析了电感耦合等离子体发射光谱法(ICP-AES)测定硅钢中铌的检测过程,讨论了该检测过程中不确定度的主要来源,建立了该方法的定量的数学模型,并根据这一模型计算出了检测结果的合成标准不确定度和扩展不确定度。 The measurement of niobium content in silicon steel by inductively coupled plasma atomic emission spectrometry(ICP-AES) was analyzed,by which the main factors affecting the uncertainty of the measurement were ascertained and the calculation formula was given.Finally,according to the formula the combined uncertainty and expanded uncertainty were obtained. 

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... 

【作者】 周威； 刘侃； ...

【作者】 杨佳直； ...

利用OM、SEM、TEM等实验方法研究了卷取工艺对一种新型含铜无取向电工钢晶粒度和析出相的影响。结果表明,该电工钢热轧带卷取后的晶粒尺寸为18～24μm,在卷取过程中,热轧带中有一定数量的第二相析出,经EDS能谱及选区电子衍射分析,这些析出相主要为AlN。随着卷取工艺的变化,该电工钢的晶粒度大小变化不明显,析出相的类型、尺寸大小不发生改变,体积分数发生一定的改变。 The effects of coiling process on grain size and precipitates of a new copper-bearing non-oriented electrical steel were investigated by OM,TEM and other experimental method.The results show that the grain size of hot-rolled bands after coiling is 18～24 μm.The second phases precipitate during coiling process.They are mainly AlN by EDS spectra and selected area electron diffraction.With the change of coiling process,the grain size of the electrical steel does not change significantly;the type and... 

研究了含铜低碳低硅无取向电工钢中的析出相及其析出机理.由能谱(EDS)及选区电子衍射(SAED)分析可知,铁素体基体上存在的大量弥散分布的等轴状析出相为类B2结构的铜.这些铜析出相的析出机理可以是一般析出、位错析出、台阶机理相间析出和弓出机理相间析出:一般析出在550、650和750℃三个等温温度均可发生;位错析出只发生在较低的等温温度(550℃),此时析出相呈特殊的平行短列状;台阶机理相间析出也可在上述三个等温温度下发生,但650℃等温时最有利于台阶机理相间析出,此时析出相平直列状分布;弓出机理相间析出只发生在较高的等温温度(750℃),析出相弯曲列状分布. Precipitates in low-carbon low-silicon non-oriented electrical steel containing Cu were studied and the precipitation mechanism was analyzed by means of energy dispersive spectrometry(EDS) and selected area electron diffraction(SAED).It is found that the equiaxed precipitates of Cu with B2-like structure distribute dispersively in the non-oriented electrical steel.The precipitation mechanism involves general precipitation,dislocation precipitation,interphase precipitations formed by the ledge me... 

【作者】 陈迪安； 李春生； ...