论文

采用轧制法制备出具有低铁损高磁感0.23mm厚6.4%(质量分数)Si高硅钢。沿轧制方向的最终磁性能为B8=1.474 T,B50=1.714 T;P10/50=0.30W/kg,P15/50=0.88W/kg。利用X射线衍射及背散射电子衍射(EBSD)技术分析了高硅钢在轧制及退火过程中的织构演变过程。结果表明,通过采用大压下率热轧,确保热轧板次表层中产生更多的高斯织构,随后进行遗传;温轧板中粗大的晶粒有利于冷轧剪切带的形成;冷轧板经脱碳退火后生成强{210}〈001〉织构及次表层较强的高斯织构是在轧向上获得高磁感的原因,归因于其在{111}〈112〉冷轧形变晶粒内的剪切带优先形核并长大;最终退火后虽出现了随机取向,但以{310}〈001〉织构为代表的η织构得以保留并且增强,进一步提高了磁感。随着退火温度的升高及保温时间的延长,高硅钢薄板晶粒尺寸不断增大,铁损明显降低。 6.4wt%Si high silicon steel sheets(0.23mm thick)with low iron loss and high magnetic induction were successfully produced by rolling process.The final magnetic properties along the rolling direction(RD) were:B8=1.474T,B50=1.714T;P10/50=0.30 W/kg,P15/50=0.88 W/kg.The texture evolution during rolling and annealing was investigated by means of X-ray diffraction and electron backscatter diffraction(EBSD).It was found that more Goss textures formed in the subsurface of hot rolled plates by using larg... 

无取向硅钢特别是中牌号以上的无取向硅钢,随着含硅量的提高,常温下塑性较差,冷轧过程中轧制力明显提高,如果存在原料质量问题,极易发生断带事故,影响硅钢冷轧过程的成材率和生产效率。通过优化冷轧工艺参数,可提高冷轧稳定性。生产中通过合理分配冷轧各道次压下量和轧制速度,保证了轧制过程的稳定,很大程度减少了冷轧断带事故的发生。 Non-oriented silicon steel, especially in the low and middle grade, with the increase of silicon content, plasticity is poor at room temperature, rolling force in cold rolling process significantly improved .If there is the quality defect of raw materials , easily sheet is rolling off. Affect finished product rate and production efficiency in process of cold-rolled silicon steel. Through optimization of cold rolled process parameter , improve the stability of cold-rolling process. Through reason... 

介绍了CSP工艺生产无取向电工钢各工序的设备特点、采用的工艺控制手段和电工钢产品质量情况,结合生产实践证明了马钢CSP工艺开发的无取向电工钢产品丰富了薄板坯连铸连轧的品种结构,发挥了薄板坯连铸连轧生产无取向电工钢性能均一、稳定的特点。 The equipment characteristic,the process control method and the quality of non-orientated silicon steel by CSP process were introduced.Combined with the production situation,it is proved that production of non-orientated silicon steel developed on Masteel CSP line would enrich product structure of thin slab continuous casting and rolling,and it exerts stable performance of non-orientated silicon steel. 

介绍在取向硅钢生产中抑制剂的作用以及多元抑制剂的机理和应用情况,分析多元抑制剂方案中各种元素对高磁感取向硅钢性能的影响,并根据生产实践提出了进一步研究的方向. The role of an inhibitor in the production of grain oriented silicon steel,and the mechanism of multiplex inhibitor in the production are described in the present article.In addition,the influence of various elements in the multiplex inhibitor on the performance of grain oriented silicon steel with high magnetic induction is elucidated.Further work needed in this research is also indicated. 

【摘要】 <正>3月15日,随着第5754卷HiB钢下线,武钢...

利用OM、SEM、TEM等实验方法研究了卷取工艺对一种新型含铜无取向电工钢晶粒度和析出相的影响。结果表明,该电工钢热轧带卷取后的晶粒尺寸为18～24μm,在卷取过程中,热轧带中有一定数量的第二相析出,经EDS能谱及选区电子衍射分析,这些析出相主要为AlN。随着卷取工艺的变化,该电工钢的晶粒度大小变化不明显,析出相的类型、尺寸大小不发生改变,体积分数发生一定的改变。 The effects of coiling process on grain size and precipitates of a new copper-bearing non-oriented electrical steel were investigated by OM,TEM and other experimental method.The results show that the grain size of hot-rolled bands after coiling is 18～24 μm.The second phases precipitate during coiling process.They are mainly AlN by EDS spectra and selected area electron diffraction.With the change of coiling process,the grain size of the electrical steel does not change significantly;the type and... 

为开发高效电机用冷轧无取向电工钢,借助实验室薄板坯连铸连轧模拟设备及扫描电镜、透射电镜等检验手段研究了成分、组织、织构和析出物等对无取向电工钢磁性能的影响规律;结果表明:常化处理使组织均匀化并增加有利于磁性提高的织构组分;采用CSP流程开发的高效电机用无取向电工钢铁损平均值3.4 0 W/kg,磁感≥1.68 T。 In order to develop electrical steel for high efficiency motor,effect of components,microstructure,texture and precipitation on magnetic property of electrical steel are analyzed.From the result,normalizing treatment makes microstructure uniform and increases component of favorable texture.Iron loss of electrical steel developed by CSP line is 3.40W/kg and magnetic induction is more than 1.68T. 

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... 

对w(Si)=3%无取向硅钢进行表面机械研磨处理(SMAT)和异步轧制(CSR),获得表面纳米结构,再进行550～650℃、4 h固体粉末渗硅处理,用透射电镜(TEM)、扫描电镜(SEM)和X射线衍射仪(XRD)研究表层组织演变。结果表明:经过SMAT后,w(Si)=3%无取向硅钢表面形成了等轴状、取向呈随机分布的、晶粒尺寸为10 nm的纳米晶组织;异步轧制后,表面纳米晶组织保持不变;550～650℃、4 h渗硅处理后,SMAT+CSR样品表面形成化合物层,其厚度随着温度的升高由17μm增加到52μm;化合物层由Fe3Si和FeSi相组成. Nanostructured surface layer was fabricated on a 3%(mass fraction) non-grain oriented silicon steel by means of surface mechanical attrition treatment(SMAT) and cross-shear rolling(CSR),and then a solid powder siliconizing treatment was carried out for the SMAT+CSR sample at 550~650 ℃ for 4 h.The microstructural evolution was examined by using transmission electron microscopy(TEM),scanning electron microscopy(SEM) and X-ray diffraction(XRD).Experimental results show that: equiaxed nanocrystallin... 

通过试验确定氩气分析流量为3.5L/min,静态流量为0.75L/min,冲洗时间为3s,预燃时间为12s,积分时间为5s的激发条件,采用火花源原子发射光谱法测定取向硅钢中碳、硅、锰、磷、硫。分别采用铣床铣样、砂轮磨样两种制样方式进行了精密度考察,发现制样方式对结果影响不大;讨论了取向硅钢样品中碳、硅、锰、磷、硫测定时可能存在的共存元素干扰,发现硅对锰元素的干扰不可忽略,采用干扰系数法进行了校正,据此拟合得到各元素校准曲线的相关系数均在0.999 0以上。精密度考察结果表明,碳、硅、锰、磷、硫的相对标准偏差(n=10)在0.71%~9.4%之间。对两块取向硅钢生产样品进行分析,并与钢铁研究总院进行比对分析,结果一致,且偏差均在允许范围内。 Carbon,silicon,manganese,phosphorus and sulfur in oriented silicon steel were determined by spark source atomic emission spectrometry.The selected excitation conditions were as follows:the analytical flow rate of argon was 3.5L/min,the static flow rate was 0.75L/min,the flush time was3s,the precombustion time was 12sand the integration time was 5s.Two sample preparation methods,including milling machine and grinding wheel,were investigated.The precision test results showed that,the determination... 

【作者】 O.M.Гбанов； A.E.Чеглов； ...

提出一种基于粒子群优化算法实现的硅钢涂层厚度近红外光谱检测新方法。首先,采用近红外光谱仪采集获得了硅钢表面绝缘涂层的近红外光谱,然后,采用离散粒子群算法筛选出近红外光谱数据的最佳波长变量并组成新的光谱数据,最后,建立涂层厚度的核偏最小二乘定量分析模型。实验显示,所建定量分析模型对检验样本分析的绝对误差范围为-0.12～0.19μm,最大相对误差为14.31%,完全符合现场检验需要。研究表明,离散粒子群算法可以有效地筛选出携带更多有用信息的波长变量,提高定量分析模型的分析准确度和速度,是一种有效的近红外光谱波长筛选方法,同时,近红外光谱法也是一种有效的硅钢绝缘涂层厚度检测方法。 A novel thickness measurement NIR spectrometry for surface insulation coating of silicon steel based on discrete binary particle swarm optimization(DBPSO) algorithm is presented.First,we used NIR spectrometer to collect the NIR spectra of insulation coating of silicon steel,and then,DBPSO algorithm was used to select the optimal wavelength variates and composed a new spectra set.Last,the authors created the thickness quantitative analysis model using kernel partial least square algorithm.The exp...