硅钢资料

为探究铬、锰元素及退火温度对高强无取向硅钢性能的影响规律,借助OM、SEM、EBSD与万能拉伸试验机等分析不同制造工艺下3组不同含量铬、锰元素的无取向硅钢热轧、常化及退火处理后组织与性能。结果表明,试验钢热轧后组织不均匀,心部为沿轧向分布纤维状组织,边部为少量再结晶晶粒,常化处理能显著改善热轧板组织均匀性,消除热轧板中心部位的纤维状组织。经冷轧及退火后得到多边形铁素体晶粒,其中960℃退火,晶粒尺寸偏大,有利织构{100}组分体积分数减少,不利织构{111}组分体积分数增加,成分为0.2Mn-1Cr的1号试验钢960℃退火后铁损最大,磁感强度偏小;成分为0.5Mn-1Cr的2号试验钢930℃退火后,磁性能与强度等综合性能最佳,工频铁损P_1.5/50为2.41W/kg,高频铁损P_1.0/400为17.36W/kg,磁感应强度B_{5 000}为1.638T,抗拉强度为685MPa。 In order to study the effect of Cr,Mn and annealing temperature on the properties of high-strength non-oriented silicon steel,the microstructure and properties of three groups of non-oriented silicon steel with different Cr,Mn content under different manufacturing processes were analyzed by means of OM,SEM,EBSD and universal tensile tester.The results show that the structure of experimental steel is not uniform after hot rolling,and the core is distributed in fibrous structure along the rolling ... 

【作者】 刘玲月； 李军辉； ...

介绍了EB5325涂层液的主要性能和中冶新材生产冷轧无取向电工钢所用的涂层设备,通过多次试验摸索出使用EB5325涂层液的工艺,对涂层出现的缺陷进行分析研究,并提出解决方法,使中冶新材生产的冷轧无取向电工钢的涂层质量满足了用户的要求。 This article introduces the main properties of EB5325 and the coating equipments for cold-rolled non-oriented electrical steel. A process using EB5325 coating liquid is made through many time experiments and exploration. The appeared defects in the coating are studied and analyzed,and the solutions are proposed. The coating quality meets clients’ requirements of cold rolled non-oriented electrical steel. 

为了确定普通冷轧取向硅钢最优的中间完全脱碳退火工艺,在其一次冷轧后进行5种不同工艺的脱碳退火处理,借助扫描电镜及电子背散射衍射技术研究了不同工艺脱碳退火后的组织、织构和脱碳效果。结果表明:经5种工艺脱碳退火处理后,初次再结晶的平均晶粒尺寸均约为19μm,且不随退火温度和时间的变化而变化;经840℃×10min工艺退火后的晶粒最均匀,高斯织构位向更准确,高斯织构面积分数最多,为3.1%,可将碳脱至0.003 5%。 In order to determine the optimal intermediate complete decarburizing annealing processes for common grain-oriented(CGO)silicon steel,five kinds of intermediate decarburizing annealing processes were conducted,the microstructure,texture and decarbonization after different decarburizing annealing processes were studied by scanning electron microscopy and electro back-scattered diffraction(EBSD)technology.The results show that the average grains sizes of primary recrystallization were about 19μm a... 

通过对取向硅钢进行脉冲磁场退火实验,发现在相同的退火时间(6.0 min)内,低于1 T的脉冲磁场可以在一定程度上提高取向硅钢的磁感(B8),而高于1 T的脉冲磁场则会使取向硅钢的磁性能急剧恶化.同时发现,脉冲直流电加热方式会使取向硅钢的磁性能恶化.研究表明,脉冲磁场退火有望成为一种调控材料微观结构的有效手段. We have carried out experiments of annealing by pulse magnetic field.The results show that a pulse magnetic field with intensity lower than 1 T can promote magnetic induction density(B8) of grain-oriented silicon steel,while the magnetic properties deteriorate sharply when intensity is higher than 1 T.It has also been found that heating by using pulse direct current can cause the magnetic properties to deteriorate,in contrast to the traditional heating using resistance furnace.Our research shows... 

结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源，采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明：稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣，主要类型为Al₂O₃、MgO-Al₂O₃、CaO-Al₂O₃-MgO和CaO-Al₂O₃-SiO₂。非稳态浇铸过程钢水洁净度明显降低，热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w（CaO）/w（Al₂O₃）、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def... 

抑制回硅是低硅品种钢冶炼的重点和难点,南钢中厚板卷厂通过转炉出钢弱脱氧操作,精炼炉弱脱氧升温,脱氧、脱硫造渣,连铸严格的保护浇注及吹氩塞棒、吹氩浸入式上水口的应用等一系列工艺优化和操作的改进,使整个冶炼过程钢水回硅量稳定控制在200×10-6以内,钢水终点成分完全满足低硅钢要求。 Control of increasing silicon is the emphasis and difficulty in low silicon varieties steel smelting.The Nisco Wide Plate/Coil Plant can control the silicon content in molten steel keeping within 200×10-6 through whole steelmaking process by using oxygen residual operation in converter tapping,oxygen residual and increasing temperature,deoxidation,desulfurization,slag refining,protection cast,blowing argon by plugged nozzle,blowing argon by submerged entry nozzle in continuous casting,and other ... 

某冷连轧机生产无取向硅钢板材时,其边缘降的长度合格率频繁超标。为满足用户的叠片厚度精度要求,这类产品必须以增大切边量的方式来保证交货质量,而这种方式又直接降低了金属收得率,提高了生产成本。基于此,以该产线现有设备特性为基础,详细分析其软、硬件功能模式,分别对辊形与反馈控制进行全面分析与优化改进。通过现场试验论证,充分明确依托辊形优化与反馈控制程序的改进能显著提高边缘降的控制水平,该技术的使用为生产现场的边缘降控制提供了合理的技术支撑。 A cold rolling mill production of non-oriented silicon steel sheet,the thickness difference of the edge( edge-drop) is usually exceed the preset standard value,In order to meet the accuracy requirements of the user flatness,these production must be trimed wider length to meet the delivery quality of the user need, which directly reduce the metal yield and increase the manufacturing cost. Therefor,the software and hardware of the production line has been analyzed, and the work roll shape and feed... 

利用背散射衍射技术(EBSD)和XRD,研究了两段式脱碳退火工艺对取向硅钢纵截面初次再结晶的微区取向、取向差分布、特殊晶界(CSL)及高温退火试样高斯织构。分析了初次再结晶晶界特征对取向硅钢高温退火后宏观织构的影响。结果表明:初次再结晶的纵截面基体中Σ3和Σ5晶界使得高斯晶粒有着较高的迁移率,在高温退火时借助20o～45°的大角度晶界的界面能吞并周围{111}<112>晶粒迅速长大,形成密度水平较高的高斯织构。 Micro area orientation of primary recrystallization,the misorientation distribution,special boundaries under different two-stage decarburization annealing and the Goss texture under high temperature annealing the longitudinal section of grain-oriented silicon steel were detected by electron back scattering diffraction(EBSD) and X-ray diffraction(XRD).The effect of primary recrystallization grain boundary on macrotexture after high temperature annealing was analyzed.The results show that the Σ3 a... 

【作者】 杨佳直； ...

【摘要】 <正>含6.5%Si的电工钢是软磁特性最佳的电...

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...