硅钢资料

硅钢高温退火环形炉炉壳制作与安装精度要求较高,施工时通过对壳体原材料矫正、炉壳板拼焊、下料切割、型钢骨架组装及焊接、骨架及炉壳板矫正、骨架与炉壳板组装及焊接、炉壳矫正、零配件装置、定位钻孔、报验检查、出厂、内侧板安装、外侧板安装、顶板安装等环节的工艺技术控制,能保质高效地完成硅钢高温退火环形炉炉壳制作与安装,为以后同类工程的施工提供可借鉴经验。 The required precision of manufacture and installation technique of the silicon steel high temperature annealing annular-furnace shell is high.During construction , manufacture and installation of the silicon steel high temperature annealing annular-furnace shell could be finished high efficiently through correcting the raw materials of shell , furnace shell plate welding , material cutting , steel frame assembly and welding , skeleton and shell plate correction , skeleton and furnace shell asse... 

【作者】 王桦； 舒子龙； ...

聚焦无取向硅钢产品标准,从电磁性能、表面性能、机械性能以及尺寸公差与边部质量等维度对国际标准IEC、EN、JIS、ASTM以及国标GB进行了分析研究。分析得出,各类标准在电磁性能方面要求基本一致;ASTM标准的机械性能要求有别于其他几个标准。 In this paper,non-oriented silicon steel standards of EN,JIS,GB and ASTM were compared and analyzed. It is showed that,all types of standards in electromagnetic performance requirements are basically the same. Surface properties in ASTM standard are expressed in the most detailed. The mechanical properties requirements of the standards,except for ASTM,are basically the same. 

研究了应用电感耦合等离子体质谱(ICP-MS)同时测定硅钢中痕量铝、钼、钒、钛、铌元素的分析方法。通过条件试验对测量参数进行了优化,确定RF功率1 400 W,泵速30rpm,采样深度140,雾化压力0.90。样品采用硝酸分解,以Be、Y混合内标校正了测量过程中高基体引起的信号漂移。根据测量时存在的质谱干扰情况,选择同位素27 Al、98 Mo、51 V、47 Ti和93 Nb作为测定同位素,同时通过调节仪器参数使得双电荷离子和氧化物离子的产率最低,以减少其带来的干扰。采用基体匹配法配制校准溶液,以标准加入法建立工作曲线,并扣除试剂空白。该方法各元素的测定下限均可达到1μg/g。用于硅钢标准样品的测定,所得结果与参考值完全吻合,各元素的RSD小于5.2%。 A method for the determination of trace aluminum,molybdenum,vanadium,titanium and niobium in silicon steel by inductively coupled plasma mass spectrometry(ICP-MS) was described.A series of single parameter condition experiment was conducted.The optimized operation parameters with RF power 1 400 W,turbo pump rate 30 rpm,sampling depth 140 and nebulizer pressure 0.90 were obtained.The samples were dissolved by HNO3,and the Be and Y mixing internal standard were used to eliminate the signal drift c... 

取向硅钢成品的晶粒尺寸非常大,其易磁化方向[001]晶向对于轧向的偏差角度对其磁性能影响极大。本文介绍了取向硅钢二次再结晶后成品晶粒位向的几种测定方法,包括侵蚀法、劳厄法、OIM法、极图法和非对称X射线衍射法等,并对这几种测量方法进行了比较。 The finished product of grain-oriented silicon steel has immense grain size ranging from millimeters to centimeters and the deviation angles of easy magnetization direction from rolling direction plays a remarkable role in magnetic properties of grain-oriented silicon steel.The methods in common use for determining the deviation angles of crystal direction are introduced,which include the etch-figure method,the Laue method,the OIM method,the pole figure method and the asymmetrical X-Ray diffract... 

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... 

两炉次无取向硅钢XG800WR（/%:0.003～0.004C、0.71～0.75Si、0.32～0.33Mn、0.004～0.007S、0.016P）的炼钢流程为铁水预处理（KR）-210 t顶底复吹转炉-钢包吹氩-RH脱碳精炼-230mm×1220 mm板坯连铸。53 t中间包钢水过热度为25～30℃,钢包到中间包采用长水口全程吹氩保护浇铸,中间包至结晶器采用浸入式水口浇铸。结果表明,在RH、中间包、结晶器过程中钢中总氧以及夹杂物数量和尺寸均明显降低;但在钢包到中间包过程T[O]、[N]和钢中夹杂物数量增加,说明长水口浇铸过程存在二次氧化。连铸坯中T[O]、[N]平均他分别为11×10^-6和30×10^-6,显微夹杂物数量平均为4个/mm²。铸坯中的显微夹杂物主要为3～5μm的AlN,同时存在少量的MnS、Al₂O₃·AlN和Al₂O₃·MgO·MnS。 The steelmaking flow sheet for two heats non-oriented silicon steel XG800WR（/%:0.003～0.004C. 0.71～0.75Si,0.32～0.33Mn,0.004～0.007S,0.016P） is hot metal pretreatment（KR）-210 t top and bottom combined blown converter-ladle argon blowing-RH decarburization refining-230 mm×1 220 mm slab casting.The superheating extent of liquid in 53 t tundish is 25～30℃,whole casting is shielded by blowing argon with long nozzle from ladle to tundish and the submerged nozzle is adopted in casting from tundish to mold... 

【作者】 杨洪林； ...

【摘要】 <正>国家硅钢技术研究中心自2008年落户武...

【摘要】 <正>2014年5月9日,从武钢硅钢事业部获悉,...

研究的两种取向硅钢（%:No1-0.042C、3.16Si、0.009Al、0.07Mn、0.50Cu、0.015S、0.0084N和No2-0.040C、3.20Si、0.014Al、0.22Mn、0.49Cu、0.016S、0.008 2N）由50 kg真空感应炉冶炼,锻成（mm）350×120×35板坯,经1 250℃30 min加热,开轧温度1 100℃,5道次热轧成2.3 mm板,终轧温度950～1 000℃。实验结果表明,两热轧板沿板厚方向存在组织和织构的不均匀性,热轧板次表层为再结晶组织,有较强的Goss织构组分;中心层为形变组织,具有典型的形变织构。含0.22%Mn的No2钢次表层{110}〈001〉织构组分比含0.07%Mn的No1钢弱,中心层{001}〈110〉织构组分大大强于0.07%Mn No1钢,导致两者磁性能差异,0.22%Mn No2钢磁感应强度(B₈₀₀)和铁损(P_1.7/50)分别为1.87 T和1.24 W/kg,0.07%Mn No1钢分别为1.88 T和1.18 W/kg。 Studied both grain-oriented silicon steels（%:No1- 0.042C,3.16Si,0.009Al,0.07Mn,0.50Cu, 0.015S,0.0084N and No2-0.040C,3.20Si,0.014Al,0.22Mn,0.49Cu,0.016S,0.0082N） are melted by a 50 kg vacuum induction furnace,forged to（mm） 350×120×35 slab,heated at 1 250℃for 30 min,with beginning rolling temperature 1 100℃hot-rolled to 2.3 mm plate by 5 passes,finishing-rolled at 950～1000℃.Test results show that the structure and texture along thickness of both hot-rolled plates are inhomogeneous:the subsurface ...