硅钢资料

概述了高磁感取向硅钢生产工艺的研究现状及发展趋势。介绍了国内外薄板坯连铸连轧流程生产高磁感取向硅钢的研究现状。从流程工序特点、热履历、组织与抑制剂控制方面进行对比,分析了薄板坯连铸连轧流程相对传统板坯流程生产高磁感取向硅钢的技术优势,在此基础上提出了利用该流程生产高磁感取向硅钢需要解决的主要技术难点。 The current status and development trend of production process for high magnetic induction grain-oriented silicon steel are summarized.The research status of producing high magnetic induction grain-oriented silicon steel by thin slab casting and rolling process at home and abroad is introduced.The potential technical advantages of producing high magnetic induction grain-oriented silicon steel by thin slab casting and rolling process are obtained by analyzing in terms of process characteristics,t... 

从取向硅钢生产路线的选择、工艺技术的改进和生产设备的改造三方面进行了生产取向硅钢的节能降耗技术改造.通过完善多元抑制剂配方生产低温取向硅钢,通过加抛丸的酸洗、带面超声波清洗、改进连续退火炉以及余热循环利用等技术改造,使2012年取向硅钢的产量与未进行技术改造前的2009年相比提高了2.5倍,产品磁性上升了一个半牌号,能耗下降了8.9%,成材率提高了6.4%,生产成本下降了22%,综合效益显著. Energy saving technological transformation was carried out in the production of grain oriented silicon steel from three aspects of the oriented silicon steel production process route selection,technology improvement and equipment renovation.Through the improvement of multiple inhibitor formulations for producing low-temperature grain-oriented silicon steel,and by adding the blasting pickling,the belt surface ultrasonic cleaning,improvement of continuous annealing furnace,waste heat recycling tec... 

【作者】 杨得草； ...

6.5%(质量分数)Si高硅钢具有优异的软磁性能和广阔的应用前景,然而其室温脆性和低的热加工性极大地制约了它的发展。近年来,人们对高硅钢制备技术的研究已经取得了很大的进展,如何通过织构的优化提高高硅钢的磁性能越来越受到人们的关注,归纳和总结了不同工艺制备的高硅钢中的织构演变规律和特点,以及对应的典型磁性能。 6.5wt% Si high silicon steel has excellent soft magnetic properties and wide application prospect.However,the brittleness of room-temperature and poor workability of cold rolling limit its deve-lopment.Recently,the researches of the preparations of high silicon steel have been already made great breakthroughs,and then,more and more attentions are focused on how to optimizing the texture of high silicon steel so as to obtain the best magnetic properties.The evolution of textures of 6.5% Si high s... 

通过观察冲剪边缘组织,测量冲剪边缘的显微硬度、残余应力的分布情况和磁性能的变化研究了冲剪加工对无取向硅钢50WW800边缘组织和磁性能的影响。对冲剪后硅钢片进行750℃退火,分析退火对组织和磁性能的影响。结果表明,硅钢片剪切边缘会存在0.4 mm的形变硬化层,边缘应力大,铁损增加。退火后变形减小,形变硬化层变小,残余应力大幅度减少,铁损减少。 The influence of punching process on cutting edge microstructure and magnetic properties of non-oriented silicon steel 50WW800was studied by observing microstructure and measuring microhardness near cutting edge.The residual stress distribution in the silicon steel tooth and magnetic properties were measured.Effect of annealing at 750 ℃ on microstructure and magnetic properties of the silicon steel was analyzed.The results show that a cut-edge hardening layer up to 0.4 mm is observed,residual st... 

通过微观组织表征、高温拉伸和断口形貌分析,研究了钇(Y)元素对6.5%Si无取向硅钢组织、高温拉伸及断裂机制的影响。研究结果表明,添加Y元素可以在钢液中形成YS和YP的复合析出。YS和YP可以充当异质形核基底,提高形核率,细化凝固组织。热轧组织不均匀,由表层至芯部分别形成等轴晶、等轴晶/拉长晶和拉长晶的混合组织。退火后,热轧变形组织转变为等轴晶,含Y实验钢的退火组织得到明显细化。500℃时效处理后,含Y实验钢具备较低的有序度,300℃的拉伸断口呈现韧性断裂特征,断后伸长率达到20.2%。相反,无Y实验钢发生脆性断裂,断后伸长率仅为2.1%。研究结果证实,Y元素可以通过组织细化和降低有序度提高6.5%Si无取向硅钢的中温塑性。 The effects of yttrium(Y)on microstructure,elevated-temperature tensile properties and fracture mechanism of 6.5% Si non-oriented electrical steel were investigated by means of microstructure characterization,high-temperature tensile test and fracture analysis.The results showed that the doping of Y introduced composite Y-rich precipitates(YS/YP)in the melt.YS and YP precipitates were qualified for heterogeneous nucleation agents,which thus raised the nucleation rate and refined the solidificati... 

本文介绍了无取向硅钢C6涂液的性能,研究了配水量、固化程度和涂层厚度等因素对无取向硅钢C6涂层性能的影响。结果表明,随着配水量的增加,完全固化所需的时间增加,涂液固体含量降低,涂层厚度减小;随着固化程度的提高,涂层硬度先增大然后趋于恒定,而柔韧性逐渐变差,在过固化后急剧恶化;涂层厚度对涂层的表面外观、附着性和绝缘层间电阻均有显著影响。 Based on the introduction about the performance of C6 varnish for non-oriented silicon steel sheets,effects of water amount,curing degree and coating thickness are discussed. Results show that with the increase of water amount,the time required to cure completely extends,and both the solid content of C6 varnish and the coating thickness decrease. As the curing degree increases,the hardness of the coating increases first and then tends to be constant,however the flexibility degenerates,especially... 

为了提升新能源车用驱动电机的功率密度,各大电机厂商都在不断地提升电机转速,随之而来的问题就是电机的铁耗也在不断增高,如何降低电机铁耗成为了电机厂商必须要解决的难题。本文讨论了电机铁耗的组成部分及影响因素,并对1台8极48槽的永磁同步电机分别使用3种不同厚度的材料进行仿真,对比其效率及铁耗分布,推导出驱动电机中硅钢厚度、铁耗及成本的关系,最后对驱动电机选材提出建议。 In order to increase the power density of traction motor for new energy vehicles,major motor manufacturers have been constantly increasing the motor speed.The following problem that manufacturers have to solve is how to reduce the increasing iron loss when the motor speed is increased.The components and influencing factors of motors’ iron loss were discussed in this paper,and an 8-pole 48-slot permanent magnet synchronous motor using three different thickness materials was simulated.To compare i... 

主要对硅钢退火炉耐材施工进行阐述,对一期工程与二期工程施工经验进行总结,包括设计、施工、耐材生产、人员素质等方面,指出了工程项目所所存在的不足,为同类型炉窑的施工提供借鉴。 This paper describes the construction of silicon steel annealing furnace refractories;and it was summarized the construction experience of phase-Ⅰ and phase-Ⅱ projects,including design,construction,refractory production,the quality of personnel etc,and pointed out the shortcomings of the project,which provided a reference for the construction of the same type of furnaces. 

硅钢工业退火炉温度控制具有强耦合、纯滞后、多扰动等特点,它的控制方法代表着一类非线性系统控制的解决方法。以硅钢工业退火炉温度为控制对象,在双交叉限幅控制的基础上引入了智能学习系统,形成了基于智能学习系统的双交叉限幅控制方法来解决此类非线性系统的控制问题,并通过模块化的编程来实现其功能。结果表明:与传统的PID控制相比,该控制方法的控制精度、抗扰性等控制指标有明显提高,是解决此类非线性控制的一种有效方法。 The temperature control of silicon steel industrial annealing furnace has the features of strong coupling,pure lag,multidisturbance. The control method represents the solution of a class of nonlinear control systems. The control object is the temperature control of silicon steel industrial an-nealing furnace, the intelligent learning system based on Double Across Limit Control is introducedand used to solve control problem of this kind of nonlinear system, and the module programming isused to re... 

【摘要】 <正>编号:2012016获奖等级:特等完成单位:...

针对宝钢硅钢常化退火过程中产生的退火炉辊印缺陷问题,通过实际生产的大数据与产品质量问题相结合,将数据挖掘、数据分析方法应用到实际,一定程度上解决了现场实际生产中的痛点,为现场生产提供决策支撑,避免了以前通过人工识别判定存在疏漏和无法定量判断的问题,形成了一套具有鲁棒性和可操作性的钢铁生产过程数据分析方法。通过智慧决策系统平台获取实际生产和表检仪数据,基于Pearson相关系数算法进行变量挑选和特征工程,并应用随机森林算法对数据建立分类预测模型,实现了质量问题的溯源和监控,通过数据量化预测了炉辊印缺陷是否可通过轧制消除的质量问题,识别准确率达到96.43%。 In views of the normalizing annealing furnace roll marks problem occurred in the process of normalizing annealing of silicon steel in Baosteel,by combining big data from actual production with product quality problems,data mining and data analysis methods were applied to actual production to solve the pain points and provide decision support,a robust and practical data analysis method for the steel production process has been developed,which avoided the previous problems of omission and non-quan...