硅钢资料

主要研究了0.7%Si无取向电工钢退火试样的组织、晶粒尺寸和织构对其磁性能的影响。结果表明,随着退火温度的升高,晶粒尺寸逐渐增大,组织的均匀性得到改善;ɑ取向线上的纤维织构多集中于{114}<110>和{223}<110>附近,再结晶结束后,织构含量变化不大。{111}<110>织构取向密度值随温度升高而下降,{112}<111>织构与{111}<110>织构变化相反。晶粒尺寸增大对磁感强度的影响较小,而对铁损的影响较大。 Influences of microstructure,grain size and texture on the magnetic properties of 0.7% Si non-oriented electrical steels annealed samples were studied.The results show that with annealing temperature increasing the average grain size is increased gradually.Uniformity of the microstructure is improved;the textures of ɑ-fiber gathered in the vicinity of the { 114} < 110 > and { 223 } < 110 > texture.After recrystallization,the volume fraction of texture changes small.{ 111} < 110 &g... 

在Gleeble-3500热/力模拟试验机上对HW600钢进行高温压缩试验,研究在不同试验条件下的变形抗力。试验结果表明:变形温度对变形抗力的影响最为显著,在相同的变形速率下,随着变形温度的升高,变形抗力降低;在同一变形温度下,变形速率增大,变形抗力增加;在同一变形温度、变形速率下,随着变形程度的增加,变形抗力急剧增大,真应变达到0.1后,变形抗力增加趋势变缓。 The high-temperature compression test is done for HW600 steel with Gleeble-3500 thermal simulation testing machine to research its resistance to deformation under different test conditions.It is showed from result that deformation temperature has greatest effect on the resistance,and along with the temperature getting higher the resistance lowered under same deformation rate;the resistance increases along with deformation rate getting greater under same temperature;and under same deformation tem... 

对碳-锰-硅钢进行不同配分温度的Q&P(Quenching and Partitioning)处理,测试了热处理后不同钢的力学性能和残余奥氏体含量,并用扫描电子显微镜和透射电镜观察其显微组织,分析了配分温度对显微组织和力学性能的影响。结果表明:试验钢显微组织基本由低碳板条状马氏体、块状铁素体和条状残余奥氏体组成;随配分温度的升高,试验钢的抗拉强度呈下降趋势,伸长率与奥氏体含量的变化趋势相同,但变化规律不确定;提高锰含量能稳定残余奥氏体,从而提高试验钢的伸长率,并使伸长率对配分温度不敏感。 The C-Mn-Si steel was quenched and partitioned at different partitioning temperatures,the mechanical properties and residual austenite contents were investigated,the microstructure was observed by SEM and TEM,and the effect of partitioning temperature on microstructure and mechanical properties was analyzed.The results show that the microstructure of the tested steel consisted of lath martensite with low carbon,nubby ferrite and banded residual austenite.The tensile strength of the tested steel ... 

选用国内外无取向硅钢标杆企业A、B、C的产品,采用非水溶液电解提取+SEM(EDS)方法,分析了其典型牌号对应成品试样中的夹杂物。结果表明,从磁性能控制角度而言,受钢的化学成分及生产工艺影响,A、B、C企业成品试样的夹杂物尺寸、种类、数量存在差异,这些差异对其磁性能产生显著影响;从夹杂物控制角度而言,A、B、C企业对应成品试样的夹杂物,以MnS、CuxS复合或者AlN、MnS、CuxS复合为主,其中1.0μm以下的夹杂物数量分别为2.34×107个/mm3、2.98×107个/mm3和11.98×107个/mm3,1.0μm以上夹杂物数量均很少,夹杂物的平均尺寸从大到小依次为A企业、B企业、C企业。 According to the production of three benchmarking manufacture enterprises A,B and C of non-oriented silicon steel at home and abroad,the inclusions in finished steel samples with typical grades were investigated by electrolytic extraction from non-aqueous solution and SEM(EDS).Results show that,from the viewpoint of improving the magnetic properties,affected by chemical composition and production technique,the size,type and amount of inclusions in finished steel samples are various,which will af... 

对无取向电工钢中的夹杂进行了系统的分析。利用小样电解,采取不同电解液,不同的分离方法对无取向电工钢中稳定和不稳定夹杂物进行了提取、分离和收集。利用扫描电镜(SEM)、X-射线衍射、ICP等对电解分离收集的夹杂物进行了定性和定量分析。 The inclusion analysis of the non-oriented electrical steel has been investigated.By using small sample electrolytic analysis,with different electrolytes and different separation ways,the stable inclusions and unstable inclusions was drew,separated,and collected.With utilizing the methods of SEM,X-ray and ICP,the qualitative and quantitative analysis of inclusions in the non-oriented electrical steel was obtained. 

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... 

【摘要】 <正>据武钢股份公司提供的消息,武钢将与...

研究了取向硅钢制备过程中常见的两种冷轧工艺,主要研究了一阶段冷轧与两阶段冷轧+中间退火工艺对初次再结晶组织及织构的影响.结果表明:采用两阶段冷轧+中间退火工艺制备以Cu2S为主抑制剂的取向硅钢,其初次再结晶平均晶粒尺寸为18.1μm,高斯晶粒的体积分数为0.6%,迁移性强的重位点阵晶界(Σ5+Σ9)和高能晶界(20°~45°取向偏差角)所占比例分别为1.8%和50.4%.与一阶段冷轧工艺相比,其初次再结晶晶粒较细,且高斯晶核与特征晶界所占的比例较高,有利于高斯晶粒发生二次再结晶. Two common cold-rolling processes of grain oriented silicon steel and the effects of the single stage cold rolling and tw o-stage cold rolling w ith intermediate annealing processes on the primary recrystallization microstructure and texture w ere investigated. The results revealed that for the grain oriented silicon steel prepared under the tw o-stage cold rolling process w ith intermediate annealing w ith Cu 2 S as the main inhibitor,the average grain size of the primary recrystallization micr... 

轧制力是影响冷轧带钢厚度精度的关键因素。为实现高精度的冷轧带钢厚度控制,通过优化变形抗力模型参数和摩擦系数模型参数提高冷轧轧制力模型计算精度,并使用指数平滑法的自学习算法保证轧制力精度的稳定性。在首钢股份公司迁安钢铁公司20辊森基米尔轧机生产线进行S12硅钢钢种轧制力优化试验,将优化的模型参数应用于L2并投入现场生产,结果表明该优化方法不仅提高了轧制力设定精度,而且减小了冷轧硅钢的厚度超差长度,提高了成材率。 The rolling force is the key factor which influences the accuracy of cold-rolling strip thickness. To implement high precision control of cold-rolling strip thickness,we optimize the deformation resistance model parameters and friction coefficient model parameters to improve the calculation precision of cold-rolling force model,and use exponential smoothing self-learn algorithm to ensure the stability of rolling force accuracy. In Shougang Qiangang 20-high Sendzimir mill single stand production ... 

采用低温板坯加热制备取向硅钢,通过透射电镜(TEM)观察并研究热轧板中的析出物,用ODF织构法研究热轧板距表面1/8、1/4和1/2处的织构分布。结果表明,热轧板中的析出物主要是密排六方AlN,AlN形貌呈规则长方形,AlN颗粒大小不等,分布密度低;热轧板中的织构沿板厚方向,由亚表层的{110}<001>织构向1/2中心层的α线织构变化,其中{110}<001>织构在热轧板距表面1/4层处最强。 The low temperature grain-oriented silicon steels were produced by acquired inhibitor method.The precipitates in hot rolling strip were observed and studied by transmission electron microscope,and the texture distribution in 1/8,1/4 and 1/2 layers of hot rolling strip were analyzed by ODF method.The results showed that the square shaped h-AlN is the main precipitates in hot rolling strip.The precipitates are varying in size and distribution.The texture of hot rolling strip in thick direction are... 

【作者】 马芳； 张春红； ...