硅钢资料

以轻烧氧化镁粉为原料,经消化、碳化制得重镁水,在热解反应前采用络合剂对重镁水中的杂质钙、铁进行络合掩蔽,再经热解得到碱式碳酸镁,碱式碳酸镁经煅烧可制得钙、铁杂质含量较低的氧化镁。在重镁水络合除杂过程中,考察了络合剂三乙醇胺、柠檬酸、草酸单独和复合使用的除铁、除钙效果。以三乙醇胺为络合剂时,在200 mL重镁水中加10 mL三乙醇胺(1∶1),氧化镁产品中w(氧化镁)=99.3%、w(氧化钙)=0.31%、w(氧化铁)=0.042%;使用草酸和柠檬酸作为复合络合剂时,在200 mL重镁水中加入1.0 g柠檬酸和2.0 g草酸,氧化镁产品中w(氧化镁)=98.2%、w(氧化钙)=0.24%、w(氧化铁)=0.030%。 Light-burned magnesia as a raw material was hydrated and carbonated to obtain magnesium bicarbonate liquor.Before the pyrolyzing of magnesium bicarbonate liquor,complexants were used to cover Fe and Ca impurities.Then the treated liquid was pyrolyzed to obtain basic magnesium carbonate which was calcined to magnesium oxide with low calcium and iron content.During the complexing purification of magnesium bicarbonate liquor,the Fe and Ca removing effects of single or compound complexing agents,suc... 

采用Nb对Fe-6.5%Si(质量分数)高硅钢进行微合金化处理,结果表明:Nb在高硅钢薄板制备过程中细晶效果明显.铸态、锻态和热轧态组织的晶粒分别细化了17.50%,24.51%和30.13%.铸态样品压缩强度由1365 MPa提高至1520 MPa,延伸率提高77.78%;温轧板试样室温拉伸强度由573 MPa提高至621 MPa,延伸率提高44.44%.利用XRD对厚度为0.30—1.68 mm的温轧板的板面织构演变过程进行跟踪测量,结果发现:初始织构以(011)〈100〉Goss织构为主,单道次变形量为26.2%的情况下,Goss织构完全转化为(100)〈011〉旋转立方织构,随后,在单道次变形为22.6%的情况下,旋转立方织构完全转化为{111}面织构,即纤维织构,并稳定保持至0.30 mm. Fe-6.5%Si（mass fraction） alloy possess perfect magnetic properties,though intermetallics of Fe₁₄Si₂ phase brought 6.5%Si leads to room temperature brittleness and hinder this significant materials industrialization.Nb was adopted into micro-alloying of Fe-6.5%Si high silicon steel. OM,thermal simulated test machine and XRD were employed to study the influence of Nb on high silicon steel in processing stages.Textures of warm-rolled high silicon steel strips were determined b... 

主要研究了氧化锌对以Al(H2PO4)3为基料的无铬无取向硅钢绝缘涂层各项性能的影响.用盐雾实验和动电位极化研究了不同氧化锌含量对硅钢绝缘涂层的耐蚀性和电化学行为的影响.采用SEM和体视显微镜对涂层的表面形貌和附着性能进行研究.结果表明,氧化锌含量为4.0%时,氧化锌能完全中和涂层表面的游离磷酸,涂层的耐蚀性和附着性最好;氧化锌含量过少或过多时,涂层的耐蚀性和附着性都较差. This paper studies the influence of zinc oxide on the performance of chromium-free non-oriented silicon steel insulating coating which based on aluminum dihydrogen phosphate.Salt spray experiment and potentiodynamic polarization were used to study the influence of zinc oxide content on the corrosion resistance and electrochemical behavior of the insulation coating of silicon steel.The surface morphology and adhesion of coating were tested by SEM and stereo microscope.The results show that when t... 

利用X-射线衍射织构分析和线形分析技术测定了交叉轧制双取向硅钢在制备工艺各阶段的织构及微结构,进而探讨了立方织构({100}<001>)的形成过程。通过对实验结果的分析可知,二次冷轧和交叉轧制工艺为立方织构提供了内能优势和有利的形变织构,而低温预退火工艺既强化了立方织构的内能优势,又为立方织构的异常长大提供了有利的组织保证,最终在抑制剂(AlN和MnS)的协同作用下,硅钢在二次再结晶退火后形成了强烈的立方织构。 The texture and substructure of the double oriented electrical steels produced by the cross rolling technology during the difference process has been measured by means of the X-ray texture and diffraction peak profile analysis technology,and research the formation mechanism of cube texture,{100}<001>.The results show that the dominances of inner energy and deformation texture were supplied by secondary cold rolling and the cross rolling technology and strengthened by pre-annealing at a low... 

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... 

介绍了微合金元素锡、铌、稀土对无取向硅钢性能的影响,并扼要分析了这些元素对硅钢性能的影响机理:晶界偏聚元素Sn可细化晶粒提高硅钢磁性能;微合金元素Nb细化铁素体晶粒,提高硅钢的强度、韧性和塑性及磁性能;稀土元素(RE)在硅钢中的主要作用包括净化钢液、变质夹杂物、改善铸态组织和性能及微合金化,减少晶界上出现偏析的几率。 The influence of micro-alloy elements on properties of non-oriented silicon steel and the mechanism for effect of the micro-alloy elements including Sn、Nb and RE on the properties of steel are presented and analyzed in this paper.Grain boundary segregation elements Sn in steel can grain refinement and improve the magnetic properties;Micro-alloy elements Nb can refine the ferrite grain,increase the silicon steel strength,toughness and plastic;The main role of the RE in the silicon steel including... 

通过热力学计算,分析了实验钢中主要析出物析出的可能性。结果表明:在液相和固液两相区中,AlN和MnS均不能析出;在奥氏体区,AlN和MnS具备热力学析出条件,平衡析出温度分别为1547、1582 K。成品退火板中的析出物主要为AlN和MnS。扫描电镜下观察到的AlN形貌多为长条状,MnS形貌多为棒状或近似球形。这两种析出物占了析出物总量的85%以上,尺寸集中分布在400~800nm;复合析出物主要是(Al2O3+MnS)和(AlN+MnS),形貌不规则,尺寸集中在0.7~1.5μm;透射电镜下观察到了少量100nm以下独立的AlN析出。 According to thermodynamic calculation, the precipitation probability of precipitates was analyzed, AlN and MnS can not precipitate in liquid phase area and solid-liquid two-phase area. In austenite area, both the AlN and MnS have precipitation condition in thermodynamics and precipitates at 1547 K and 1582 K, respectively. The precipitates in annealing plate are mainly AlN and MnS. The shape of AlN is mostly strip, and MnS is stick or near sphericity. They accounted for over 85% of the total qu... 

利用FE-SEM、EDS分析了含不同抑制剂成分的成品取向硅钢中夹杂物的组成和形貌,统计其尺寸及数量分布;结合对磁性能测试的结果,分析了Sn、Cu、Nb和Cr对取向硅钢磁性能影响的机理。结果表明:含Sn的取向硅钢试样中夹杂物主要为块状的微米级Al-Ti-C-N-O复合物,还有少量的球形Al-N-O颗粒和块状Ti-C-N-O颗粒,棒状夹杂物较少;含Cr的取向硅钢试样中夹杂物主要为球形的微米级Al2O3,还有少量Cu-Al-N-O-S复合物,棒状夹杂物和不规则夹杂物均较少;含Cr试样中1~3μm夹杂物的平均尺寸较含Sn试样小,但数量多,而大于3μm夹杂物的平均尺寸较含Sn试样大,但数量很少。磁性能测试结果表明,外场为800A/m和2500A/m时,含Cr试样磁感应强度偏低,铁损值P1.7/50较含Sn试样高,为1.171W/kg。 The composition and morphology of inclusions in the finished grain-oriented silicon steels are analyzed by using FE-SEM and EDS, and the number density and size distribution of the inclusions are counted. The influence mechanism of Sn, Cu, Nb, and Cr on the magnetic properties of the steel is also discussed. Results show that the inclusions composition in the grain-oriented silicon steel samples containing Sn is mainly block Al-Ti-C-N-O, compounding with a few spherical Al-N-O and block Ti-C-N-O... 

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... 

【作者】 姚昌国； ...

【摘要】 <正>3月底,宝钢\"低温高磁感取向硅钢制造...

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...