硅钢资料

【作者】 刘彤； ...

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... 

通过固溶度积公式计算及热模拟实验,对不同热装和加热温度条件下的无取向硅钢铸坯中析出相进行了研究.在低于950℃热装时,铸坯中AlN的析出量和尺寸不再变化,但MnS和AlN-MnS的数量及平均尺寸随着热装温度降低而进一步增加,并在温度低于600℃时达到最大值后保持不变.与1200℃相比,1100℃加热的铸坯中AlN、MnS的总固溶量相对更少.相比850℃热装,600℃热装再加热到1100℃的铸坯中AlN和MnS的总固溶量更少,且AlN和MnS尺寸更大.合适的热装温度和加热温度分别为600℃和1100℃. Based on solubility product calculation and thermal simulation experiments,precipitated phases in continuous casting slabs of non-oriented silicon steel were systematically studied at different hot charging and heating temperatures.When the hot charging temperature is below 950 ℃,the content and size of AlN remain unchanged,but the quantity and size of MnS and AlN-MnS increase when the hot charging temperature decreases,reach maximum and remain unchanged when the hot charging temperature is belo... 

结合工业化生产的高效硅钢,进行了RH精炼稀土处理试验研究。针对不同的稀土处理条件,观察了夹杂物的形貌和尺寸分布,探讨了稀土处理后钢中的夹杂物形成、变化规律。结果表明:试验条件下,最佳的稀土合金添加数量为0.6～0.9 kg/t。经过合适的稀土处理后,可以有效抑制尺寸相对较小的、不规则的AlN、MnS复合夹杂生成,促进钢中微细夹杂物的聚合、上浮,钢质纯净度得到明显提高。此时,钢中全氧含量最低,脱硫效果最佳,钢中的夹杂物主要是尺寸相对较大的、近似球形或者椭球形的稀土类夹杂。 Based on the industrial production of non-oriented silicon steel,the experiment on RE treatment during the RH refining process was studied.The morphology and the size distribution were observed for the steel specimens treated with different RE treatment conditions.Further more,the formation and change of inclusions of final steel sheets after RE treatment were discussed.The results show that the suitable RE added amount was 0.6～0.9 kg/t.After the suitable RE treatment,the formation of AlN and Mn... 

介绍了攀钢冶炼电工钢过程硫含量变化以及过程回硫、增硫情况,采取针对性措施,如:提高铁水装入量、转炉采用石英砂代替复合造渣剂造渣、RH脱硫等,降低钢中硫含量。结果表明:采取相应措施后,电工钢炼成率大幅提高,成品w[S]≤0.008%的比例由改进前的62%提高到92.4%,取得了明显的冶金效果。 The resulfurization and the change of sulphur content in production of electrical steel is analyzed.The targeted measures have been taken,such as increase the loaded quantity of liquid iron,quartz sand replaces the composite slagging agent in the converter and RH desulfurization to decrease the sulphur content of the steel.The result shows,after the measures have been taken,the finished product ratio of electrical steel increase a lot.The ratio of sulfur content of finished product no more than ... 

冷轧中中低牌号的无取向硅钢多采用万能凸度轧机(Universal crown mill,UCM)生产,其板形好坏受制于UCM轧机板形调节手段的协调使用。为掌握UCM轧机的板形控制特点,建立基于二维变厚度有限元的辊系弹性变形和基于三维差分的轧件塑性变形的六辊轧机耦合模型,对UCM轧机的板形调控性能进行详尽的分析,包括工作辊和中间辊弯辊、中间辊窜辊的调控功效、辊间接触压力分布等。在此基础上,提出可用指导生产的板形控制策略,指出UCM轧机在横向厚差控制方面的不足。针对工业生产中UCM轧机轧制无取向硅钢横向厚差大的问题,在大量仿真计算的基础上,开发具有高次曲线函数的边部变凸度(Edge variable crown,EVC)的工作辊。采用该工作辊后,各种品种的无取向硅钢的横向厚差不大于10μm的百分比由24%提高到99%,横向厚差的均值小于6μm,远小于之前的13μm。 Medium-low grade non-oriented silicon steel is rolled often by universal crown mill(UCM) during cold rolling.Its shape quality is dependent on the coordinated control of several shape adjustment devices of UCM.In order to understand the shape control characteristics of UCM,coupling model of six-high rolling mill,based on two-dimensional varying thickness finite element rolls elastic deformation model and three-dimensional finite difference strip plastic deformation model,is setup for the detaile... 

研究了无取向硅钢钙处理前后夹杂物的行为,重点考察了钙处理前后夹杂物的成分、类型、形貌和尺寸研究的变化情况,为实际生产中无取向硅钢的钙处理提供理论指导。试验发现:钙处理前夹杂物主要以Al2O3、Al2O3-MgO为主,且在夹杂物表面有AlN析出,钙处理后夹杂物以Al2O3-MgO-CaS-CaO系复合夹杂物为主,还含有少量的SiO2或AlN;钙处理前后,夹杂物形貌由多边形或不规则形逐渐向球形或近似球形转变,并且夹杂物尺寸不断增大;钙处理前后,含钙夹杂物的比例发生突变,由10%增大到74.5%,且随着钙处理时间的延长,含钙夹杂物比例下降,表明钙处理使夹杂物变性后易聚集长大并上浮去除。 Behavior of inclusions before and after calcium treatment in non-oriented silicon steel was researched by investigating changes of compositions,types,shapes and sizes of inclusions before and after calcium treatment,for the purpose of providing theoretical guidance for calcium treatment of non-oriented silicon steel in actual situation. Results indicated that Al2O3 and Al2O3-MgO were main types of inclusions before calcium treatment,sometimes AlN maybe precipitate in the outer of inclusions. Al2... 

通过对湿H2气氛下,相同退火温度、不同退火时间的CGO硅钢初次再结晶样品进行金相组织观察,并进行了EBSD微观织构分析,研究了CGO硅钢初次再结晶过程中的组织及再结晶织构演变行为。结果表明,在湿H2气氛下,820℃保温,CGO硅钢初次再结晶过程约在120 s时完成。随着退火时间的延长,γ面上{111}<112>织构含量逐渐减少,{111}<110>织构先减少后增多,随着再结晶的完成,部分{111}<112>取向晶粒向高斯{110}<001>取向转化的同时,也向{111}<110>取向转化,高斯{110}<001>织构含量逐渐增多。高斯取向晶粒较多是由{111}<112>取向晶粒转化而来,同时也证明了CGO硅钢高斯取向晶粒的二次再结晶异常长大生长机制为择优形核。 Microstructure development and texture evolution of conventional grain oriented silicon steel,which were annealed at same annealing temperature and different annealing time under wet H2 atmosphere,were investigated through metallographic observation and electron backscattered diffraction analyzing.The results show that the primary recrystallization finishes in 120 s at 820 ℃ under wet H2 atmosphere.With the extending of annealing time,{111}<112> texture decreases,{111}<110> texture d... 

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. 

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... 

采用扫描电镜、场发射扫描电镜、能谱仪等对50SW1300冷轧无取向硅钢中的夹杂物分不同尺寸区间进行数量统计,利用主成分回归分析法,即数据的标准化处理—主成分分析—回归分析—标准化的变量还原成原始变量—确定显著影响因素,综合分析夹杂物总量及各尺寸区间的夹杂物数量对无取向硅钢磁性能的影响。结果表明:主成分回归分析能够从夹杂物尺寸区间及数量的多个影响因素中提取主要的因素,定量研究其对磁性能的影响。分析表明,显著影响无取向硅钢铁损的夹杂物为100~500nm的AlN、AlN+MnS、MnS、Al2O3、AlN+Al2O3,而劣化磁感最明显的夹杂物尺寸区间为100~200nm。 Different size intervals of inclusions in cold rolled non-oriented silicon steel 50SW1300 were counted by scanning electron microscope(SEM),field emission scanning electron microscope(FESEM)and energy disperse spectroscopy(EDS).With principal component regression method:standardization for experimental data,principal component analysis,regression analysis,transform standardized variables into original variables,determination of significant factor,effects of the total number of inclusions and the... 

以能量平衡和辐射换热理论为基础,通过合理假定,建立了硅钢无氧化加热炉数学模型。采用数值计算的方法,通过自编程序,完成对带钢加热过程温度场的仿真。结果显示:数学模型能够反映带钢在无氧化炉内的加热过程,其升温曲线能够与工艺曲线相吻合;现行炉温分布并非最优,数学模型能够为炉温分布的优化、炉段的设计提供理论依据。 Mathematical model of NOF Section of Continuous Annealing Furnace is established based on energy balance and radiation heat exchange. The temperature field of steel is simulated by mathematical computation. The simulating results show that the mathematical model can reflect the heating process of silicon steel in NOF section, and the heat-up curve is coincide with the processing curve. From the results,it is known that the current furnace temperature gradient is not the best, and the mathematica...