钢厂
退火温度对无取向电工钢组织和磁性能的影响
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...
无取向电工钢硫含量控制技术研究
针对采用含钒铁水生产无取向电工钢存在的铁水脱硫率低、转炉冶炼过程回硫量大、成品硫含量偏高的问题,通过对含钒钛铁水脱硫,减少转炉冶炼过程回硫以及RH脱硫技术等方面的研究,大幅度降低了电工钢成品硫含量。生产表明钢中w(S)=0.001 9%~0.006 9%,平均为0.004 2%;w(S)≤0.008%的比例达到了100%,且w(S)≤0.005%的比例也达到了91.43%。 In cognizance of the problems of low desulphurization rate for hot metal,large sulfur-recovery in converter as well as high sulfur content in products in producing non-orientation electrical steel with vanadium-content hot metal countermeasures have been carried out.Sulfur content in non-orientation electrical steel is decreased obviously by way of study on technologies of desulphurization for hot metal with vanadium & titanium,sulfur-recovery control in converter and desulphurization in RH ...
ZnO对硅钢绝缘涂层组织与性能的影响
通过制备磷酸二氢铝硅钢涂层,研究了氧化锌对无铬涂层耐盐雾性能、电化学性能和附着性的影响。结果表明,硅钢表面涂层含有4.0%的氧化锌时,涂层具有最高的耐腐蚀性能和电化学性能,而且其致密表面最为平整,没有裂纹出现。 The effects of ZnO on the salt spray resistance property, electrochemical performance and adhesiveness of silicon steel insulating coating were studied. The results show that the best corrosion resistance and electrochemical properties can be obtained when the coating contains 4.0% oxide zinc, and the dense surface is smooth without cracks.
400mm硅钢自动轧制试验轧机
西安重型机械研究所为武钢开发了目前国内第一台自动化水平较高的先进可靠的硅钢热轧试验轧机。本文介绍了该轧机的工艺参数、设备组成,技术特点及轧制流程,该轧机在规定的终轧温度范围内,实现了2.5 m/s的快速轧制速度,保证了控制系统准确及时的采集到轧件进出轧辊时的信号,缩短道次间隙时间,实现了自动控制,保证了产品板形及精度的高水平要求,对于硅钢尤其是对其取向硅钢新产品、新工艺的开发具有深远意义。 An experimental prototype of 400 mm silicon steel hot rolling mill was developed by Xi’an Heavy Machinery Research Institue for Wu Gang.The technological parameters,configuration and characteristic of advanced control system in the experimental prototype are introduced in detail.The experimental prototype was realized the fast rolling of 2.5 m/s in the range of specified rolling temperature.Its automatic rolling control system can acquisite the signals that a rolled piece enters in and exits fro...
锡或锑在无取向电工钢中的研究进展
近年来,在节能减排背景之下,国内外众多研究者对无取向电工钢磁性能的提升做了大量研究。为了探索无取向电工钢磁性能提升的方法,对锡或锑对无取向电工钢磁性能的作用机制(晶粒尺寸和晶体织构的控制)进行分析。基于该作用机制,介绍锡或锑的添加对无取向电工钢磁性能的影响。经研究发现,适量的锡或锑在晶界偏聚,不会阻碍晶界的移动并且致使晶粒尺寸降低;与此同时,锡或锑在晶界偏聚不仅抑制{111}织构在原始晶界处形核及生长,还降低(100)晶粒表面能,促进(100)晶粒生长。因此,适量添加锡或锑,可使无取向电工钢铁损下降、磁感提升。最后结合生产工艺,建议无取向电工钢的研究方向应为稀土含量对高牌号无取向硅钢夹杂物尺寸和数量分布的影响,锡或锑的添加量和常化工艺参数(常化时间、常化温度)对常化晶粒尺寸的影响。 In recent years, due to the background of energy saving and emission reduction, numerous researchers all around the world have done a lot of investigations on the improvement of magnetic properties for non-oriented electrical steel. In order to explore the method of improving the magnetic properties of non-oriented electrical steel, the mechanism of tin or antimony on the magnetic properties(the control of grain size and crystallographic texture) of non-oriented electrical steel is illuminated. ...
冷轧无取向硅钢产品标准浅析
聚焦无取向硅钢产品标准,从电磁性能、表面性能、机械性能以及尺寸公差与边部质量等维度对国际标准IEC、EN、JIS、ASTM以及国标GB进行了分析研究。分析得出,各类标准在电磁性能方面要求基本一致;ASTM标准的机械性能要求有别于其他几个标准。 In this paper,non-oriented silicon steel standards of EN,JIS,GB and ASTM were compared and analyzed. It is showed that,all types of standards in electromagnetic performance requirements are basically the same. Surface properties in ASTM standard are expressed in the most detailed. The mechanical properties requirements of the standards,except for ASTM,are basically the same.
高硅钢温轧过程压下率及中间退火对组织、织构的影响
传统轧制法制备6.5wt.%高硅钢过程中温轧工艺具有显著不同于3 wt.%Si的电工钢的特点及组织织构特征,是开发新型基于织构优化的高硅钢的关键环节。采用EBSD技术对通过热轧、温轧、冷轧及退火工艺制备0.3mm厚的6.5wt.%Si电工钢板的组织和织构进行分析,重点研究温轧过程中的中间退火和大、小压下率组合以控制织构。结果表明,在热轧退火板是部分再结晶组织的情况下,一次性温轧或先小形变量、中间退火后再大形变量的工艺可得到更多的Goss晶粒;经过最终退火后Goss取向会发生偏转,形成部分黄铜取向,而{111}〈112〉取向的晶粒内形核生成近Goss取向的再结晶晶粒;大压下量轧制是最终组织中{111}取向晶粒较多的主要原因。 Warm rolling,a key process of developing new type high-Si electrical steel based on texture optimization,has significant different characteristics from 3wt% Si steel in conventional preparing process. 0. 3mm thickness 6. 5wt. % Si steel,obtained by a series of processes including hot and warm rolling,intermediate annealing and then cold rolling,was analyzed from microstructure and texture by EBSD,which are utilized mainly for investigating the intermediate annealing process and the combination o...
无取向电工钢表面线状缺陷的影响因素分析
结合扫描电镜和大样电解研究了CSP流程W800牌号无取向电工钢表面线状缺陷中夹杂物成分及来源,采用SPSS软件回归分析了生产过程各因素对表面线状缺陷的影响。研究表明:稳态浇铸过程铸坯中大型夹杂物含量为5.39 mg/10 kg。引起无取向电工钢表面线状缺陷的大型夹杂物主要为脱氧产物、镁铝尖晶石和钢包顶渣,主要类型为Al2O3、MgO-Al2O3、CaO-Al2O3-MgO和CaO-Al2O3-SiO2。非稳态浇铸过程钢水洁净度明显降低,热轧板表面线状缺陷比例上升。影响表面线状缺陷的主要因素为RH出站时顶渣的w(CaO)/w(Al2O3)、RH脱氧结束氧位及中间包最低吨位。 Combining scanning electron microscopy and large sample electrolysis, the composition and source of inclusions in the surface linear defects of W800 grade non-oriented electrical steel in the CSP process were studied. SPSS software was used to regress and analyze the main factors which affected the surface linear defects in the steelmaking process. Research shows that the content of large inclusions in the steady state casting process is 5.39 mg/10 kg. The large inclusions which cause linear def...
基于人工神经网络-遗传算法的取向硅钢刻痕工艺优化
为了优化激光刻痕降低取向硅钢铁损的工艺,寻找刻痕速度、脉冲能量、扫描间距等重要刻痕参数的最佳匹配关系,提出了一种基于人工神经网络与遗传算法的优化模型,并利用这种模型对30Q130取向硅钢材料的刻痕工艺进行了优化实验,结果表明,这种模型稳定可靠,可以作为取向硅钢刻痕工艺优化的一种有效的措施。 A laser is often considered to scribe the grain-oriented silicon steel surfaces after cold-rolling and annealing to reduce the core loss.It is necessary to select the best scribing parameters to maximize the reduction in this process.This paper proposes an optimization method of genetic algorithm during laser scribing of 30Q130 steel,by developing an artificial neural network prediction model using a database form a designed orthogonal experiment.The objective is to determine the best combinatio...
无取向硅钢中的夹杂物析出在线观察
借助高温激光共聚焦显微镜,在线观察了不同Mn含量的无取向硅钢中夹杂物的尺寸、类型、数量变化。结果表明,Mn含量(质量分数)为0.77%、0.32%时,试样中的夹杂物数量分别约为1000万个/mm3、1600万个/mm3。Mn含量较高的钢种,会优先析出球形、椭球形MnS夹杂物,其析出数量较少,尺寸相对较大,可以有效抑制AlN、CuxS夹杂物析出;Mn含量较低的钢种,会在试样再加热后冷却过程中,先析出相当数量MnS夹杂物,并作为AlN夹杂物析出核心,形成MnS+AlN复合夹杂物。这种复合夹杂物数量较多,尺寸也较大。 Based on the high temperature confocal microscope, the chage of size, type, and quantity of inclusions in non-oriented silicon steels with different Mn content were observed by in-situ SEM. Results show that the inclusion quantities are 10 million per mm3 and 16 million per mm3,while the mass fractions of Mn are 0.77% and 0.32%, respectively. In the silicon steel with higher Mn content, the spherical and ellipsoidal MnS inclusion will precipitate first, which can retard the precipitation of AlN ...
常化对含硅1.6%的无取向电工钢组织和织构的影响
研究了常化对CSP流程生产的wSi=1.6%的无取向电工钢组织、织构和成品磁性能的影响。结果表明,经CSP流程生产,且在相同的冷轧及退火制度下,经1 000℃×2min常化处理的wSi=1.6%的无取向电工钢热轧板,其最终退火成品的铁损P15/50比不常化试样下降了10.5%,磁感B50比不常化试样提高了2.5%;常化使wSi=1.6%的无取向电工钢成品的平均晶粒尺寸增大,成品铁损P15/50相应减小;同时,常化使wSi=1.6%的无取向电工钢成品中高斯织构的强度增加,γ纤维织构的强度减弱,这有利于成品磁感B50的提高。 The effect of normalizing on microstructure,texture and magnetic properties of non-oriented electrical steel with wSi=1.6% produced by CSP process was investigated.The results show that,under the same cold rolling and annealing system,the iron loss(P15/50) of annealed samples whose hot bands has been normalized by 1 000 ℃×2 min process decreases by 10.5% and magnetic induction(B50) increases by 2.5% compared with the samples whose hot bands was not normalized.The average grain size of non-orient...
一类非线性系统控制方法在硅钢生产上的应用
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...

