硅钢资料

【作者】 杨佳直； ...

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... 

【摘要】 <正>据武钢股份公司提供的消息,武钢将与...

高强无取向硅钢主要应用于高速电机，要求其具备高强度和优异磁性能，但目前无取向硅钢的磁性能和强度难以兼顾。因此，设计并制备了添加微量Cr的含Nb高强无取向硅钢，通过光学显微镜、EBSD、万能拉伸试验机、四探针测试仪和磁性能测量仪等研究了Cr对含Nb高强无取向硅钢微观组织、织构、力学性能及磁性能的影响。结果表明，添加质量分数为0.5%的Cr抑制了热轧组织的回复，使常化和退火组织再结晶减弱，常化和退火后有利织构面积分数增加，不利织构面积分数减小。添加质量分数为0.5%的Cr使含Nb无取向硅钢的屈服强度显著增大，磁感略升高，但对铁损几乎没有影响。Cr对屈服强度的影响一方面是由于Cr的固溶强化作用，另一方面Cr促进了Nb的析出而使Nb的析出强化效果增强；而Cr提高含Nb高强无取向硅钢的磁感主要是由于促进有利织构形成的同时抑制了不利织构的形成，使得织构因子增大；添加Cr使无取向硅钢的电阻率增加从而使铁损降低，同时Cr促进了Nb的析出，而这种富Nb析出相不仅抑制晶粒长大且会阻碍磁畴移动而使铁损增高，在两方面因素的综合作用下，添加质量分数为0.5%的Cr对含Nb高强无取向硅钢的铁损几乎没有影响。因此，... High strength non-oriented silicon steel is mainly used in high-speed motors, which requires good mechanical and magnetic properties. However, it is difficult for non-oriented silicon steel to obtain high strength and good magnetic properties at the same time. In this paper, the Cr-microalloyed Nb-containing high strength non-oriented silicon steel was designed and prepared. The effect of Cr on the microstructure, texture, mechanical properties and magnetic properties of Nb-containing high stren... 

对高磁感取向硅钢冷轧板分别进行800、950、1050和1120℃不脱碳的预退火处理,在800℃预退火,成品的磁性能较好。织构分析的结果表明,随着预退火温度升高,初次再结晶后有利织构组分{111}<112>与不利织构组分(118)[110]的比值f(111)/f(118)逐渐降低,初次再结晶织构的变化是成品磁性的影响因素之一。 Preliminary annealing process at different temperatures for cold-rolled strips of a high permeability grain-oriented silicon steel was investigated to study the effect of the annealing temperature on microstructure and magnetic performance of the steel.Results show that the magnetic performances of the products annealed at 800 ℃ are best.Analysis of primary recrystallization texture indicates that with rising temperature,f(111)/f(118) which is the ratio of the favorable component {111}<112>... 

Fe-6.5%Si高硅钢是一种具有高磁导率、低矫顽力和低铁损等优异软磁性能的合金,但是其室温脆性和低的热加工性能严重影响了其在工业领域的应用。综述了Fe-6.5%Si高硅钢的性能,评述了合金的改性法、特殊轧制法、快速凝固法、沉积扩散法、粉末冶金法等制备工艺。 It is well known that 6.5%Si high silicon steel is one kind of soft magnetic materials with higher re-lative permeability,lower coercive force and iron loss than those of conventional industrial silicon steel.However,their room-temperature embrittleness and poor workability limit their practical applications in the industry.The pre-paration technique such as modification treatment on alloy,special rolling,rapid solidification,CVD and powder me-tallurgy is reviewed. 

【摘要】 <正>3月15日,随着第5754卷HiB钢下线,武钢...

取向硅钢利用析出物作为抑制剂,抑制初次再结晶晶粒的长大,抑制剂是取向硅钢发生二次再结晶的基本条件之一。文中通过低温板坯加热技术制备取向硅钢,采用透射电镜(TEM)观察并研究了高温退火阶段抑制剂的演化过程。结果表明,渗氮后形成的非晶态Si3N4析出物不稳定,在700～750℃退火升温阶段转化为(Al,Si)N;(Al,Si)N颗粒在800℃发生团聚,随后长大并粗化;(Al,Si)N是低温取向硅钢主要抑制剂,随退火温度的升高,(Al,Si)N抑制力大幅下降。 Precipitates as inhibitor are used to inhibit the grain growth of primary recrystallization in grain-oriented silicon steel,and inhibitor is one of the basic conditions for occurring of secondary recrystallization.The grain-oriented silicon steel was produced by low temperature slab heating and nitriding technique.The evolution of inhibitor was observed by transmission electron microscopy.The results show that Si3N4 particles are precipitated after nitriding,and Si3N4 particles are amorphous and... 

本文研究了丙烯酸树脂含量对以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、动电位极化及交流阻抗等试验手段研究了不同树脂含量对硅钢绝缘涂层的耐盐雾性能和电化学行为的影响,同时采用SEM对涂层的表面形貌和附着性进行研究.结果表明,树脂含量为19.9~29.4%时,涂层的耐蚀性和附着性最好;树脂含量过多时,涂层的耐蚀性和附着性均较差. This paper studies the influence of acrylic resin on the performance of insulating coating of aluminum dihydrogen phosphate on chromium-free non-oriented silicon steel.Salt spray experiment,potentiodynamic polarization and electrochemical impedance spectroscopy were used to study the influence of acrylic resin content on the salt spray resistance and electrochemical behavior of the insulation coating of nonoriented silicon steel.The surface morphologys and adhesion of coating were tested by SEM.... 

冷轧无取向硅钢是高技术含量、高附加值产品,工艺复杂,生产周期长,过程控制难度大,被誉为钢铁产品中的\"工艺品\"。热轧生产工艺又是无取向硅钢生产的重中之重,直接决定了硅钢的铁损和电磁性等多项指标。 Cold rolled non-oriented silicon steel is high technology content 、high added value product. Its process is complex, its production cycle is of length, and its process control is difficult, which is known as the iron and steel products \" Arts and crafts\". Hot rolling production process is the top priority of non-oriented silicon steel, which directly determines iron loss of the silicon steel and electromagnetic property,as well as other many index. 

研究了无取向硅钢钙处理前后夹杂物的行为,重点考察了钙处理前后夹杂物的成分、类型、形貌和尺寸研究的变化情况,为实际生产中无取向硅钢的钙处理提供理论指导。试验发现:钙处理前夹杂物主要以Al2O3、Al2O3-MgO为主,且在夹杂物表面有AlN析出,钙处理后夹杂物以Al2O3-MgO-CaS-CaO系复合夹杂物为主,还含有少量的SiO2或AlN;钙处理前后,夹杂物形貌由多边形或不规则形逐渐向球形或近似球形转变,并且夹杂物尺寸不断增大;钙处理前后,含钙夹杂物的比例发生突变,由10%增大到74.5%,且随着钙处理时间的延长,含钙夹杂物比例下降,表明钙处理使夹杂物变性后易聚集长大并上浮去除。 Behavior of inclusions before and after calcium treatment in non-oriented silicon steel was researched by investigating changes of compositions,types,shapes and sizes of inclusions before and after calcium treatment,for the purpose of providing theoretical guidance for calcium treatment of non-oriented silicon steel in actual situation. Results indicated that Al2O3 and Al2O3-MgO were main types of inclusions before calcium treatment,sometimes AlN maybe precipitate in the outer of inclusions. Al2... 

磁性能指标是硅钢产品最关键的质量指标之一，但是目前磁性能判定100%依赖于样品的离线实验室检测结果，生产线配置的在线检测仪的测量结果由于精度问题，不宜直接用于成品牌号判级。本文在现有硅钢产品质量管控体系基础上，利用大数据技术对生产数据进行分析与建模，构建不同磁性能指标在线检测模型，并在现有信息系统上完成模型库的集成部署，实现硅钢产品全长、多指标磁性能结果的拟合数据输出，支撑取样优化、精准分切、辅助综合判定等功能应用，进一步优化硅钢产品质量管控体系。 The magnetic performance index of silicon steel products is one of the most critical quality indexes.However,at present,100%determination of magnetic performance depends on the offline laboratory test results of samples,and the measurement results of the online detector configured in the production line cannot be applied in practice due to the accuracy problem.Based on the existing quality control system of silicon steel products,big data technology was used to analyze and model the production d...