钢厂
双取向硅钢在制备过程各阶段的织构和微结构
利用X-射线衍射织构分析和线形分析技术测定了交叉轧制双取向硅钢在制备工艺各阶段的织构及微结构,进而探讨了立方织构({100}<001>)的形成过程。通过对实验结果的分析可知,二次冷轧和交叉轧制工艺为立方织构提供了内能优势和有利的形变织构,而低温预退火工艺既强化了立方织构的内能优势,又为立方织构的异常长大提供了有利的组织保证,最终在抑制剂(AlN和MnS)的协同作用下,硅钢在二次再结晶退火后形成了强烈的立方织构。 The texture and substructure of the double oriented electrical steels produced by the cross rolling technology during the difference process has been measured by means of the X-ray texture and diffraction peak profile analysis technology,and research the formation mechanism of cube texture,{100}<001>.The results show that the dominances of inner energy and deformation texture were supplied by secondary cold rolling and the cross rolling technology and strengthened by pre-annealing at a low...
西昌钢钒200t RH生产无取向硅钢的工艺实践
对西昌钢钒炼钢厂200 t BOF(顶底复吹)-RH-CC工艺生产50PRW800无取向硅钢RH精炼过程中主要成份进行了分析。找出了目前工艺中影响钢液质量的主要因素是钢水脱氧处理不彻底,造成加入的部分硅元素烧损。操作工艺改为铝的脱氧即合金化操作一步完成,保证了钢水中氧处于一个较低的范围,从而减少对硅元素的烧损,提高合金收得率。 The factors of BOF-RH-CC process affecting the compositions of liquid steel were systematically investigated and studied of Xichang Steel and Vanadium Company. The main factors affecting the steel cleanliness were picked out. All results showed that the loss of silicon elements resulting from the deoxidization of liquid steel was not completely. It was suggested that the addition of aluminum for deoxidizing and alloying of molten steel was executed as one step in order to lower the oxygen potent...
低温高磁感取向硅钢高温退火过程织构及析出物的演变行为
对低温法生产的以AlN为主抑制剂的Hi-B取向硅钢高温退火过程进行了中断实验,借助EBSD及TEM技术对高温退火连续升温过程中织构与析出物的演变进行了研究。实验结果表明,800℃时ODF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;950~1 000℃时高斯晶粒异常长大,偏离角3~6°;高温退火过程析出物主要有球形、规则立方形及不规则多面体形3种形貌,由于渗N的影响,Zener因子先增大再减小,并且析出物在高斯晶界前沿优先粗化。 The annealing process at high temperature of Hi-B silicon steel using low slab reheat temperature and with AlN as the inhibitor has been studied by interrupting test,and the evolution of texture and precipitates during continuous heating-up in the annealing process at high temperature was analyzed by EBSD and TEM. The results showed that Goss texture appears in ODF at 800 ℃,but the intensity of Goss texture was very weak and the deviation angle was more than10°. Goss grains grow abnormally durin...
熔盐电沉积过程温度对1.6Si无取向硅钢Si扩散的影响
试验了通过NaCl-KCl-NaF-SiO2熔盐在电流密度50 mA/cm2、电沉积脉冲电流正反向比9:1和750850℃60min电沉积下阴极(/mm)20×20×0.5的1.6Si无取向冷轧硅钢片断面层硅的分布,并通过计算得出Si的扩散系数。结果表明,电沉积温度由750℃提高至850℃时,试样中Si含量增加,扩散的深度由18μm提高到40μm;电沉积温度与Si在钢中的扩散系数近似符合Arrhenius指数关系。 The distribution of silicon at cross section of cathode(/mm) 20 × 20 × 0.5 sheet of 1.6Si non-oriented cold rolled silicon steel after electro-deposit treatment by NaCl-KCl-NaF-SiO2 molten salt with current intensity 50 mA/cm2,electro-deposit pulse current positive-negative ratio 9:1 at 750 850 ℃ for 60 min has been tested and the diffusion coefficient of Si is obtained by calculation.Results show that with increasing electro-deposit temperature from 750 ℃ to 85...
硅钢车间ST机组粉尘调质与除尘系统改造
针对某硅钢车间ST机组的除尘系统除尘效率较低、排放浓度不达标、二次污染较严重的问题,通过现场调研,对除尘系统、含尘气体组分与物性参数等进行测试和分析,运用管道伴热技术改善粉尘黏性后,再选取合适的除尘器对粉尘进行除尘处理,大大地提高了系统的除尘效率。 To solve the problems of low dust removal efficiency, substandard emission concentration and severe secondary pollution, some investigations are conducted to test and analyze the dust removal system,dust-gas composition and relevant physical parameters.Moreover, dust removal efficiency is greatly improved by the use of pipe heat tracing technology and by choosing appropriate dust remover.
冷轧电工钢森吉米尔轧机研究进展
森吉米尔二十辊轧机是冷轧电工钢的主要机型,具有整体刚度大,辊径小,轧制道次压下量大,产品精度高等特点,简要介绍了近年来冷轧电工钢森吉米尔二十辊轧机领域进展,在轧机结构、厚度自动控制、板形自动控制等方面的技术及研究。 20-h Sendzmir reversible mill is the main type of cold rolled electrical steel which has the characteristic of high integral stiffness,small roller diameter,high pass reduction and high product quality.In this paper,the recent progress of frame structure,automatic gauge control,automatic flatness control of Sendzmir mill is introduced.
二次冷轧法与三次冷轧法制备取向硅钢薄带的织构转变规律
本文以热轧常化板为初始材料,采用二次冷轧法与三次冷轧法制备了0.1 mm厚的取向硅钢薄带,测定相应的磁性能,并通过EBSD取向成像技术检测了二次冷轧法与三次冷轧法各工艺过程中织构与组织演变规律。结果表明,采用最终冷轧压下率适中的三次冷轧法,能在冷轧至0.1 mm时保存较多的高斯晶核,使得高温退火后的磁性能明显优于二次冷轧法。最终冷轧压下率通过影响脱碳退火后样品中的{111}<112>织构组分及Goss晶粒数量对最终二次再结晶产生重要影响。 Grain-oriented silicon steel sheets with a thickness of 0. 1 mm were produced from hot-rolled and normalized sheets by two-step-rolling and three-step-rolling methods. Their magnetic properties were measured,and the textures were detected by EBSD technique. The results show that the three-step-rolling method,which has a moderate reduction rate of final cold rolling,can maintain more { 110} < 001 >nucleus,and thus obtaining better magnetic properties compared with the two-step-method. The f...
电脉冲对取向硅钢凝固组织的影响研究
对取向硅钢熔融态钢液进行处理,对比研究了不同脉冲参数的作用效果。结果表明,电脉冲对钢锭晶粒组织具有明显的细化作用,凝固组织等轴晶比例大幅上升。在脉冲电容、频率、处理时间和电压中,影响等轴晶比例的最显著性因素为脉冲频率;最优正交实验参数为:电容1 200μF,脉冲频率1 Hz,处理时间5 s,脉冲电压800 V;随着输入能量的增大,等轴晶率先增大后减小,脉冲输入能量为某值时,等轴晶率最大,通过经典形核理论和热力学对这一现象进行了解释。 Research on the influence of the electric pulse on the solidification structure of oriented silicon steel was preformed.Electric pulses in different parameters were applied to molten steel and results were compared.The result shows that solidification structure of oriented silicon steel can be improved by the electric pulse,and the equiaxed crystal ratio increases obviously.Among the four parameter factors of electric capacity,frequency,applied time and voltage,the most effective factor is frequ...
离散粒子群优化算法在硅钢涂层近红外光谱厚度检测中的应用研究
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...

