论文

采用双辊薄带连铸技术试制了3.98%Si-0.71%Al无取向硅钢铸带,研究了二次冷轧法对硅钢组织和磁性能的影响。结果表明:硅钢铸带显微组织为等轴晶组织,铸带再结晶较完全,常化对铸带显微组织影响较小。二次冷轧工艺和一次冷轧工艺下,最终退火后成品显微组织为等轴晶组织,二次冷轧法最终退火后的晶粒尺寸小于一次冷轧法。二次冷轧法能够提高成品磁性能. Effect of double cold rolling on magnetic properties and microstructure of 3.98%Si-0.71%Al non-oriented silicon Steel Sheets cast by twin-roll thin strip casting process were investigated.The results show that the structure of the thin strip is equiaxed crystal,the recrystallization is complete and normalizing has lesser effect on microstructure.Using both cold rolled and double cold rolled process,the microstructure is equiaxed grain after final annealing.The average grain size of annealed shee... 

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>... 

通过后天抑制剂获得法制备了取向硅钢,对渗氮前后和高温退火升温阶段析出物的析出和转化规律进行了研究。研究结果表明,渗氮前脱碳退火态基体中存在少量的粗大AlN颗粒和细小AlN颗粒,渗氮处理后新析出大量的Si3N4析出物,高温退火升温阶段Si3N4将转化为(Al,Si)N,随着温度的继续升高(Al,Si)N颗粒将发生粗化,(Al,Si)N是后天抑制剂获得法制备取向硅钢的主要抑制剂。 Grain-oriented silicon steels were produced by acquired inhibitor method.The rule of precipitate transformation was studied after nitriding treatment and high-temperature finishing annealing.The results show that a small amount of large AlN and fine AlN are found in matrix before nitriding treatment,and a large amount of Si3N4 is precipitated in matrix after nitriding treatment.During the temperature rising period of high-temperature finishing annealing,Si3N4 would transform into(Al,Si)N,and(Al,... 

对低温加热工艺生产的以AlN为主抑制剂的高磁感取向硅钢高温退火过程进行中断实验,借助电子背散射衍射技术对高温退火过程中高斯晶粒的演变进行了研究.在升温过程中高斯晶粒平均尺寸先减小再增大.800℃时取向分布函数图出现高斯织构组分,但强度很弱,高斯晶粒偏离角在10°以上;900℃时高斯晶粒平均生长速率超过其他晶粒;950~1000℃时高斯晶粒异常长大,偏离角3°~6°;在1000℃之前高斯取向晶粒相比于其他晶粒没有尺寸优势. The high-temperature annealing process of high permeability grain-oriented silicon steel with AlN as an inhibitor was studied by interrupting test.The evolution of Goss texture in this process was analyzed by electron back-scattered diffraction.It is found that the Goss grain size first decreases and then increases with the rise of temperature.Goss texture appears in the orientation distribution function at 800 ℃,but the intensity is very weak and the deviation angle is more than 10°.The average... 

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... 

为了解决目前冷轧产线硅钢现有切边技术存在的微裂纹、应力、毛刺和边浪等问题,采用光纤激光器进行了高速切割实验,对激光功率、切割速度、激光模式等影响因素进行了分析,同时对高速切割时的切割前沿形状进行了研究。结果表明,切割最高速度随着功率的增加而增加;随着离焦量的增加,切割质量下降,挂渣增多,切缝宽度增加,切割深度变浅;基模激光器能量密度更高,所以薄板切割时的切割速度高于多模激光器;切割前沿随着切割速度的增加会变得平缓,速度足够大时,切割前沿甚至接近与切割方向平行,此时切缝下部存在挂渣现象。 In order to solve the problems such as micro crack,stress,burr,edge waves and so on,existing in cold rolling production line of silicon steel side cutting,experimentsof high speed laser cutting using fiber laser were carried out.Laser power,cutting speed,laser mode and other factors were analyzed,at the same time,cutting front geometries were studied.The results show that the maximum speed increases with power.And the increases of defocus result in poor quality,wider kerf and shallowerkerf.Energ... 

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... 

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... 

为研究退火工艺对普通取向硅钢初次再结晶组织的影响,对经不同温度、保温时间和升温速率退火后的材料组织进行了分析。结果表明:在等温退火条件下,加热至600℃时开始发生初次再结晶,800℃以上初次再结晶组织发展完善;而在最终冷轧板直接进行最终高温退火的情况下,加热温度在500～700℃时,将升温速率提高到80℃/h,初次再结晶组织更易于发展完善。 To investigate the influence of annealing process on the recrystallization of common grain oriented silicon steel,microstructures of sheets annealed at different temperature,soaking time and heating rate are observed.Results show that under the condition of isothermal annealing,recrystallization begins at 600℃ and fully develops above 800℃,while in the case that the final cold rolled sheets are directly thrown to final high temperature annealing,recrystallization is likely to develop with the he... 

研究了热处理工艺(退火温度、保温时间、冷却方式)对含Mn的Fe-6.5wt%Si高硅钢热轧带的显微组织及硬度的影响。结果表明,退火温度对Fe-6.5wt%Si合金的组织和显微硬度均有较大影响,随退火温度升高,平均晶粒尺寸和显微硬度均明显增大。小于1 h退火时,晶粒长大缓慢,而长时间(>1 h)退火时,一些次表层晶粒将发生异常长大。水冷组织比空冷组织略细小,但水冷显著降低了显微硬度。Mn含量提高能抑制850℃退火时晶粒的长大,并且促进退火后高硅钢的软化。 The influences of heat treatment process(annealing temperature,heating time,cooling methods) on the microstructure and microhardness of Fe-6.5wt%Si high silicon steel containing manganese for hot rolled strip were studied.The results show that the annealing temperature has a great effect on the microstructure and microhardness of Fe-6.5wt%Si alloy,and as the annealing temperature increases,the average grain sizes and microhardness will significantly increase.When annealing time for less than 1 h... 

【作者】 陶永根； ...

采用热模拟方法及EBSD技术,研究Fe-3 wt%Si电工钢在不同温度下组织的动、静态再结晶及晶粒取向特征,特别是少量奥氏体对铁素体动、静态再结晶组织及取向的影响。结果表明,不同温度形变的组织主要分三类:形变长条铁素体、珠光体和等轴细小铁素体。长条形变铁素体内发生动态回复或连续式的动态再结晶,奥氏体周围的铁素体动态再结晶加速,部分以传统的不连续方式动态再结晶。铁素体、奥氏体都可发生静态再结晶。奥氏体的静态再结晶在1050℃以上明显,铁素体的静态再结晶随温度的升高逐渐进行,最显著的再结晶发生在1050℃。不同温度形变的样品,其形变晶粒取向主要以<111>和<100>为主,小等轴铁素体晶粒除与大形变铁素体取向相近外,出现了<110>取向及其它取向。 Static and dynamic recrystallization and grain orientations in a hot-compressed Fe-3 wt% Si electrical steels were studied at different temperatures using Gleeble simulator and EBSD technique,particularly focusing on the effect of small amount of austenite on ferritic microstructure and orientations.The results show that microstructure of the compressed steel,depending on deformation temperature,consisted of elongated and deformed ferrite,pearlite and fine equal-axed ferrite.The elongated ferrit...