硅钢资料

以太钢热连轧厂的硅钢为研究对象,利用凸度仪测量热轧带钢出口凸度值,采用矩阵和失效模式的分析方法了解影响带钢凸度变化的主次因素。研究结果表明:通过有效控制轧制过程中的加热温度、时间及采用合理的辊型,硅钢凸度精度提高了4.34%左右。 In this paper,we take the hot-rolled silicon steelsheet of Taigang as the research symbol,exit profile was measured by convex instrument,the primary and secondary factors that affect the strip profile were measured by using matrix and failure mode analysis methed.The results indicate that convexity accuracy has significantly improved by nearly 4.34% through the effective control of the heating temperature,heating time and the use of correct roller type in the process of hot rolling. 

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... 

【作者】 党其； ...

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>编号:2012016获奖等级:特等完成单位:...

采用化学气相沉积(CVD)渗硅处理工艺连续制备6.5%Si高硅钢,具有优质的软磁性能,通过理论研究化学反应并且用简单的试验设备做进一步的探讨。根据试验的结果对连续制备6.5%Si高硅钢的CVD工艺构造提出全面、有效的建议,实现制备6.5%Si高硅钢系统。 CVD method for continuously manufacturing 6.5%Si Steel Sheet has excellent soft magnetic.Carried out a theoretical study of related chemical reaction and performing basic research with a simple test apparatus.Based on the results,finally proposed an overall process configuration to realize such a production-CVD method for continuously manufacturing 6.5%Si Steel Sheet. 

6.5%Si电工钢是一种优异的软磁材料,织构对其磁性能影响很大。利用温轧工艺对6.5%Si电工钢热轧板进行不同压下率轧制,研究了温轧板织构随压下率的变化规律。实验结果显示,随着压下率的增大,{100}〈110〉、{110}〈100〉和γ纤维织构在薄板表层中的强度先增强后减弱,当压下率达到75%时,沿板厚方向形成3个组织区域:表层细晶粒区({110}〈100〉取向为主)、过渡层({111}〈110〉和{111}〈112〉变形晶粒区)和中心层(以拉长的γ纤维织构和{100}〈110〉取向晶粒为主),这种组织和织构不均性对后期织构的发展有重大影响。 6.5wt% Si electric steel has excellent soft magnetic properties,on which texture play important role.In this experiment,warm rolling technique was employed to investigate the effect of rolling reduction on texture.It was found that the density of {100}〈110〉,{110}〈100〉 and γ-fiber textures first increased and then decreased with increasing of the rolling reduction.At 75% reduction,the microstructure along the thickness of the sheet formed three zones,containing surface layer with {110}〈100〉 orien... 

通过对3%Si CGO硅钢进行恒变形速率、不同变形温度下的单道次压缩实验,结合Thermal-Calc软件,金相分析,SEM及EBSD技术,研究了取向硅钢热变形过程中组织和微观织构的变化规律。结果表明:实验钢是在双相区变形,变形后组织主要是铁素体和少量的珠光体。随变形温度的升高,晶粒由长条状变为等轴状,尺寸逐渐变大;CGO硅钢在热变形过程中立方{100}<001>取向是较为稳定存在的。随着变形温度的提高,{111}<110>等取向逐渐转向{110}<1 10>取向,且{110}<1 10>取向逐渐变得锋锐。 3% Si CGO silicon steel was studied at constant strain rate and different deformation temperatures by single-pass compression deformation experiments to reveal the evolution of microstructure and texture during thermal deformation in oriented silicon steel,and the Thermal-Calc software,metallurgical,SEM and EBSD technique was used in the experiment. The results show that experimental steel is deformed at the temperatures of two-phase zone. The microstructure of the deformed steel consists of fer... 

分析了影响脱碳效果和结晶行为的各种要素及其相互制约关系,提出了Hi-B连续退火工艺曲线,总结得出快速加热及合理稳态气氛是实现工艺制度的关键。结合实际工程,介绍了在连续退火炉设计中快速加热和气氛设计的考虑方法,并指出随着Hi-B产品的发展,如何改进这些方法将是连退工程研发的方向之一。 The factors which affect decarbonization and crystallization and the mutual restriction between them were analyzed.A complete continuous annealing process for Hi-B was put forward.As a result,the rapid heating and the proper steady atmosphere were two important factors.According to an actual project,the consider methods for designing rapid heating and proper steady atmosphere were introduced,and it is pointed that with the development of Hi-B technique,how to improve these techniques would be on... 

分析总结退火工艺各参数对冷轧无取向硅钢磁性能的影响,结合设计和生产实践经验介绍退火工艺中各参数的实际生产取值,并针对现生产工艺过程中出现的典型问题提出解决办法。 It is analyzed and summarized the great influences on magnetism of cold rolled non-oriented silicon steel affected by various annealing process data in this article.The relevant settled ways is raised.According to the actual value presetting ways for various annealing process data based on design and production,as well as typical problems occurred during production. 

综述了电工钢从生产到成品过程中涉及到的检测项目、检测方法及仪器,并通过对电工钢标准的发展改进,详细阐述了我国现有的电工钢技术标准体系,同时对代表企业的电工钢重点指标进行了摘录对比,为综合应用电工钢检测方法并促进电工钢的发展提供了一定的参考。 This article summarizes the testing items,methods,and instruments involved in the process from manufacturing to finished products of electric steel. The current electric steel technical standards system in our country is also elaborated in detail,along with the development and improvement of electric steel standards. Meanwhile,by comparison of electric steel KPI in representitive companies,this article provides references for comprehensive application of electric steels testing methods and promo... 

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...