硅钢资料

利用电子探针面分析、状态分析及电子背散射衍射相分析技术研究硅钢高温氧化铁皮的显微结构。电子探针面分析可以直观的看出元素的分布状态,初步判断氧化铁皮的结构,而状态分析可以准确表征常规氧化铁皮中铁元素的状态,对于合金元素富集区域则通过电子背散射衍射相分析技术来标定。结果表明,高温氧化铁皮的结构主要有4层,即最外层为厚度约为10μm的Fe2O3相,次外层为Fe3O4相,中间层为FeO相上分布有颗粒状的Fe3O4相,最内层为FeO相和Si元素富集的Fe2SiO4相。其中Fe2SiO4层的分布特征与加热温度密切相关:1 100℃时,Fe2SiO4相呈颗粒状,弥散分布在FeO层;1 200℃时,Fe2SiO4相呈液态,侵入基体和疏松的FeO层,且沿着FeO晶界呈网状分布。 The microstructure of high temperature oxide scale on silicon steel was characterized by electron probe microanalyzer(EPMA)mapping analysis,state analysis and electron backscatter diffraction(EBSD)phase analysis.The element distribution and the initial structure of the oxide scale could be detected by EPMA mapping analysis apparently.And the state of iron in the conventional oxide scales could be determined by state analysis.Meanwhile,the alloy-rich region could be identified by EBSD phase analy... 

运用电子背散射衍射(EBSD)和X射线衍射(XRD)技术对硅钢热轧板的织构在板厚方向的分布进行了研究,并分析了两种织构测量方法的特点。EBSD技术能直观给出板厚方向的微观织构,XRD能得到钢板的宏观统计织构信息,结合两种技术的分析,能更直观更精确的研究不同织构在板厚方向的分布。 The texture distribution along the thickness of the silicon steel has been investigated by electron backscatter diffraction(EBSD) and X-ray diffraction(XRD) technique.The characteristics of two technique of texture analysis have been investigated.Combined the two techniques,the texture distribution along the thickness of the silicon steel could be realized distinctly and accurately. 

选用Q235和Q345钢,在纯锌浴和含钛量分别为0.05%、0.10%、0.15%、0.20%(质量分数)的合金浴中浸镀0.5、1、3、5、8 min。利用扫描电子显微镜和能谱仪研究了钛对热浸镀锌组织和生长动力学的影响,并提出钛对含硅钢铁锌反应抑制作用的机理。结果表明:钛的加入缩短了Γ的孕育期,促进了合金层中δ的生长和ζ的消失,δ的生长依然受扩散控制,呈抛物线生长规律;Zn-0.05%Ti锌浴可以很好的抑制高硅钢的硅反应性;含硅钢热浸镀锌钛合金浴时,在锌浴中会形成锌铁钛三元T相,该相能吸收ζ晶界处富集的硅,从而抑制了铁锌反应。 Both Q235 and Q345 steels were immersed for 0.5 to 8 min in Zn bath with different amount of Ti,ranging from 0 to 0.20 mass%,for galvanization.The effect of Ti in Zn bath on microstructure and growth kinetics of hot-dip galvanizing coatings on the two steels were investigated by means of SEM and EDS analysis.Base on the experiment,the mechanism of Ti additions in controlling Fe-Zn reaction was proposed.The results show that addition of Ti in the zinc bath decreases the incubation time of Γ phase... 

研究稀土Ce的添加对含Sn高磁感无取向电工钢磁性能及夹杂物的影响。对比分析了两种成分钢的磁性能以及各过程工艺条件下夹杂物种类和分布情况。结果表明,在含Sn高磁感无取向电工钢中加入稀土元素Ce可以粗化夹杂物,提高成品晶粒的均匀性,有效降低铁损;同时Ce的添加不影响Sn元素提高磁感的效果,磁感保持不变。 Effect of Ce on magnetic properties and inclusion of Sn-bearing high permeability non-oriented electrical steel was investigated. A comparative analysis of the magnetic properties and the types and distributions of inclusion in the two sheets with different composition shows that the addition of Ce to the Sn-bearing high permeability non-oriented electrical steel can coarse the inclusion,improve the homogeneity of the finished grain and effectively decrease the core loss. Also,the addition of Ce... 

电工钢反复弯曲次数是电工钢性能检验的重要指标之一,直接影响到用户在使用电工钢过程的机加工性能。主要分析了试样宽度、试样张力、晶粒取向、反复弯曲设备等因素对电工钢反复弯曲试验的影响,并对各个因素的影响程度进行量化以及原因探讨,从而归纳形成各影响因素的基本规律,以便为电工钢实际生产、用户使用提供科学指导。结果表明:试样宽度增加,反复弯曲次数也会不断增加,晶粒位向对取向电工钢的反复弯曲次数影响较大,当支座顶部到拨杆底部的距离减小或拉紧力增加时,反复弯曲次数会不断减小,但当拉紧力达到60N以上时,对反复弯曲次数影响不大,试样经退火后,反复弯曲次数略有上升。 The reverse bend number is an important performance of electrical steels′capabilities,affecting the machining performance directly when the customers used.It investigated some factors,such as sample′s width,sample′s tension load,grain orientation and equipment,how to effect the reverse bend test for electrical steel,measured the influence degree,and discussed the reason,in order to form basic rules which could be guided the manufacturing and using for electrical steel.Results showed that the rev... 

研究了组织和析出物对高效电机用无取向硅钢退火板磁性能的影响。结果表明:随着退火温度升高,退火板平均晶粒尺寸增加,P15/50明显降低,B50略有升高。退火温度在1 000℃时,退火板的综合性能较好。析出物主要是AlN、(MnS+AlN)和(MnS+Al2O3)复合析出物,尺寸较粗大,主要集中在1.0～2.5μm,还发现少量百纳米以下的细小AlN和TiN。实验室模拟TSCR流程试制的高效电机用无取向硅钢,铁损平均值小于4.00 W/kg,磁感应强度大于1.75 T,适合作中小型高效电机铁芯材料。 Effects of microstructure and precipitation on magnetic property of non-oriented silicon steel sheets after annealing for high-efficiency motor are studied in the paper by experiments.The annealed sheet exhibits a larger average grain size,obviously decreasing iron loss and slightly raising magnetic induction with increasing temperature.The annealed sheet has better comprehensive properties at a annealing temperature of 1 000 ℃.The main precipitates are compounds of AlN、(MnS+AlN)and(MnS+Al2O3) w... 

【机构】 中国金属学会电工钢分会； ...

【作者】 陶永根； ...

以青海盐湖水氯镁石为初级原料,采用喷雾热解法制备原料氧化镁,原料氧化镁通过水化制备硅钢级氧化镁前驱体氢氧化镁。原料氧化镁水化实验中对水化剂、水化温度、水化时间、液固比、搅拌速度及陈化时间对水化率、过滤速度和纯度的影响进行系统研究。采用均匀实验设计和DPS数据处理,(依次)通过建模分析、二次多项式模型回归建立数学模型,再通过各因素方差分析和总方差分析,确定了理论最优实验条件,再用理论最优条件作重复实验进行验证,最终确定了原料氧化镁的最佳水化条件。在水化温度60℃,水化时间105 min,液固比4,陈化时间4 h,水化剂1含量4.0%,水化剂2含量3.15%,洗水量4倍,搅拌速度120 r/min时,原料氧化镁的水化率达99.50%以上,得到的硅钢级氧化镁前驱体氢氧化镁纯度高、过滤性能良好。 By spray pyrolysis method,bischofite in Qinghai salt Lake,as primary raw material,was used to prepare precursor raw material MgO for silicon-steel MgO.The precursor raw material MgO was used for preparing Mg(OH)2 which was the precursor of silicon-steel MgO,by hydration method.In the hydration experiment of precursor raw material MgO,some experiment parameters were investigated systematically.such as the hydrated agent,the temperature and time of hydration,liquid/solid ratio that affected the hy... 

研究了冷轧大压下量,950℃退火时间对一种新型含铜无取向电工钢晶粒度和织构的影响。结果表明,大压下量冷轧,随压下量的增加,退火晶粒向γ线聚集,形成强{111}<112>织构。提高冷轧压下率,退火织构{111}<100>,{110}<001>强度减弱,增加退火时间,退火织构{111}<110>,{100}<001>,{110}<001>强度变弱。采用87.5%冷轧压下率和950℃退火60 s,有利织构{100},{110}占有率最大。 The effect of annealing(950 ℃) time with high cold rolling reduction on grain size and texture of a new non-oriented electrical steel containing copper was investigated.The results show that for high cold rolling reduction,most annealed grains are oriented along γ-fibre with increasing cold rolling reduction ratio and strong texture {111}<112> is formed.With increasing the cold rolling reduction ratio,the intensity of annealed texture {111}<110>,{011}<100> decreases.With increa... 

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... 

取向硅钢常化工序主要采用现场实测带钢温度的方式测定冷却速率，并通过稳定冷却水温、调整冷却水量及喷梁运行数量等方式保证合理的冷却速率，给常化工艺设计和生产带来诸多不便。通过对常化工艺水冷过程带钢的传热分析求解，在建立带钢水冷温度模型的基础上，研究了不同冷却工艺参数对带钢温度及冷却速率的影响规律以及冷却工艺的交互作用结果。结果表明：模型计算结果能够较好地反映取向硅钢在常化水冷过程中的温度及冷却速率的变化，其计算误差为0.80%～4.11%;在特定取向硅钢厚度规格和常化工艺下，随着常化冷却水量及有效冷却长度的增加，带钢水冷温度及冷却速率与呈非线性变化；常化水冷工艺主要通过调控带钢与冷却水之间热交换量和交换时间实现对带钢温度的控制，实际生产中需综合考虑机组速度、冷却水量及有效冷却长度之间的交互作用，选定喷梁投入数量和冷却水量以获得稳定的冷却速率。 The cooling rate of normalization process mainly determined by measuring the grain oriented silicon steel strip temperature on site, and ensures the cooling rate by stabilizing the cooling water temperature, adjusting the cooling water volume and the operation quantity of spray beam, which brings inconvenience to the normalization process design and production. Based on the heat transfer of strip in the water cooling section of normalization process, the water cooling temperature model for the n...